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ResearcherID
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In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time.
Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed.
The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.
The culture of human induced pluripotent stem cells (hiPSCs) at large-scale becomes feasible with the aid of scalable suspension setups in continuously stirred tank reactors (CSTRs). Suspension cul- tures of hiPSCs are characterized by the self-aggregation of single cells into macroscopic cell aggre- gates that increase in size over time. The development of these free-floating aggregates is dependent on the culture vessel and thus represents a novel process parameter that is of particular interest for hiPSC suspension culture scaling. Further, aggregates surpassing a critical size are prone to spon- taneous differentiation or cell viability loss. In this regard, and, for the first time, a hiPSC-specific suspension culture unit was developed that utilizes in situ microscope imaging to monitor and to characterize hiPSC aggregation in one specific CSTR setup to a statistically significant degree while omitting the need for error-prone and time-intensive sampling. For this purpose, a small-scale CSTR system was designed and fabricated by fused deposition modeling (FDM) using an in-house 3D- printer. To provide a suitable cell culture environment for the CSTR system and in situ microscope, a custom-built incubator was constructed to accommodate all culture vessels and process control devices. Prior to manufacture, the CSTR design was characterized in silico for standard engineering parameters such as the specific power input, mixing time, and shear stress using computational fluid dynamics (CFD) simulations. The established computational model was successfully validated by comparing CFD-derived mixing time data to manual measurements. Proof for system functionality was provided in the context of long-term expansion (4 passages) of hiPSCs. Thereby, hiPSC aggregate size development was successfully tracked by in situ imaging of CSTR suspensions and subsequent automated image processing. Further, the suitability of the developed hiPSC culture unit was proven by demonstrating the preservation of CSTR-cultured hiPSC pluripotency on RNA level by qRT-PCR and PluriTest, and on protein level by flow cytometry.
The measurement of the mass of the $W$ boson is currently one of the most promising precision analyses of the Standard Model, that could ultimately reveal a hint for new physics.
The mass of the $W$ boson is determined by comparing the $W$ boson, which cannot be reconstructed directly, to the $Z$ boson, where the full decay signature is available. With the help of Monte Carlo simulations one can extrapolate from the $Z$ boson to the $W$ boson.
Technically speaking, the measurement of the $W$ boson mass is performed by comparing data taken by the ATLAS experiment to a set of calibrated Monte Carlo simulations, which reflect different mass hypotheses.\
A dedicated calibration of the reconstructed objects in the simulations is crucial for a high precision of the measured value.
The comparison of simulated $Z$ boson events to reconstructed $Z$ boson candidates in data allows to derive event weights and scale factors for the calibration.
This thesis presents a new approach to reweight the hadronic recoil in the simulations. The focus of the calibration is on the average hadronic activity visible in the mean of the scalar sum of the hadronic recoil $\Sigma E_T$ as a function of pileup. In contrast to the standard method, which directly reweights the scalar sum, the dependency to the transverse boson momentum is less strongly affected here.
The $\Sigma E_T$ distribution is modeled first by means of its pileup dependency. Then, the remaining differences in the resolution of the vector sum of the hadronic recoil are scaled. This is done separately for the parallel and the pterpendicular component of the hadronic recoil with respect to the reconstructed boson.
This calibration was developed for the dataset taken by the ATLAS experiment at a center of mass energy of $8\,\textrm{TeV}$ in 2012. In addition, the same reweighting procedure is applied to the recent dataset with a low pileup contribution, the \textit{lowMu} runs at $5\,\textrm{TeV}$ and at $13\,\textrm{TeV}$, taken by ATLAS in November 2017. The dedicated aspects of the reweighting procedure are presented in this thesis. It can be shown that this reweighting approach improves the agreement between data and the simulations effectively for all datasets.
The uncertainties of this reweighting approach as well as the statistical errors are evaluated for a $W$ mass measurement by a template fit to pseudodata for the \textit{lowMu} dataset. A first estimate of these uncertainties is given here. For the pfoEM algorithm a statistical uncertainty of $17\,\text{MeV}$ for the $5\,\textrm{TeV}$ dataset and of $18\,\text{MeV}$ for the $13\,\textrm{TeV}$ are found for the $W \rightarrow \mu \nu$ analysis. The systematic uncertainty introduced by the resolution scaling has the largest effect, a value of $15\,\text{MeV}$ is estimated for the $13\,\textrm{TeV}$ dataset in the muon channel.
This thesis deals with a new so-called sequential quadratic Hamiltonian (SQH) iterative scheme to solve optimal control problems with differential models and cost functionals ranging from smooth to discontinuous and non-convex. This scheme is based on the Pontryagin maximum principle (PMP) that provides necessary optimality conditions for an optimal solution. In this framework, a Hamiltonian function is defined that attains its minimum pointwise at the optimal solution of the corresponding optimal control problem. In the SQH scheme, this Hamiltonian function is augmented by a quadratic penalty term consisting of the current control function and the control function from the previous iteration. The heart of the SQH scheme is to minimize this augmented Hamiltonian function pointwise in order to determine a control update. Since the PMP does not require any differ- entiability with respect to the control argument, the SQH scheme can be used to solve optimal control problems with both smooth and non-convex or even discontinuous cost functionals. The main achievement of the thesis is the formulation of a robust and efficient SQH scheme and a framework in which the convergence analysis of the SQH scheme can be carried out. In this framework, convergence of the scheme means that the calculated solution fulfills the PMP condition. The governing differential models of the considered optimal control problems are ordinary differential equations (ODEs) and partial differential equations (PDEs). In the PDE case, elliptic and parabolic equations as well as the Fokker-Planck (FP) equation are considered. For both the ODE and the PDE cases, assumptions are formulated for which it can be proved that a solution to an optimal control problem has to fulfill the PMP. The obtained results are essential for the discussion of the convergence analysis of the SQH scheme. This analysis has two parts. The first one is the well-posedness of the scheme which means that all steps of the scheme can be carried out and provide a result in finite time. The second part part is the PMP consistency of the solution. This means that the solution of the SQH scheme fulfills the PMP conditions. In the ODE case, the following results are obtained that state well-posedness of the SQH scheme and the PMP consistency of the corresponding solution. Lemma 7 states the existence of a pointwise minimum of the augmented Hamiltonian. Lemma 11 proves the existence of a weight of the quadratic penalty term such that the minimization of the corresponding augmented Hamiltonian results in a control updated that reduces the value of the cost functional. Lemma 12 states that the SQH scheme stops if an iterate is PMP optimal. Theorem 13 proves the cost functional reducing properties of the SQH control updates. The main result is given in Theorem 14, which states the pointwise convergence of the SQH scheme towards a PMP consistent solution. In this ODE framework, the SQH method is applied to two optimal control problems. The first one is an optimal quantum control problem where it is shown that the SQH method converges much faster to an optimal solution than a globalized Newton method. The second optimal control problem is an optimal tumor treatment problem with a system of coupled highly non-linear state equations that describe the tumor growth. It is shown that the framework in which the convergence of the SQH scheme is proved is applicable for this highly non-linear case. Next, the case of PDE control problems is considered. First a general framework is discussed in which a solution to the corresponding optimal control problem fulfills the PMP conditions. In this case, many theoretical estimates are presented in Theorem 59 and Theorem 64 to prove in particular the essential boundedness of the state and adjoint variables. The steps for the convergence analysis of the SQH scheme are analogous to that of the ODE case and result in Theorem 27 that states the PMP consistency of the solution obtained with the SQH scheme. This framework is applied to different elliptic and parabolic optimal control problems, including linear and bilinear control mechanisms, as well as non-linear state equations. Moreover, the SQH method is discussed for solving a state-constrained optimal control problem in an augmented formulation. In this case, it is shown in Theorem 30 that for increasing the weight of the augmentation term, which penalizes the violation of the state constraint, the measure of this state constraint violation by the corresponding solution converges to zero. Furthermore, an optimal control problem with a non-smooth L\(^1\)-tracking term and a non-smooth state equation is investigated. For this purpose, an adjoint equation is defined and the SQH method is used to solve the corresponding optimal control problem. The final part of this thesis is devoted to a class of FP models related to specific stochastic processes. The discussion starts with a focus on random walks where also jumps are included. This framework allows a derivation of a discrete FP model corresponding to a continuous FP model with jumps and boundary conditions ranging from absorbing to totally reflecting. This discussion allows the consideration of the drift-control resulting from an anisotropic probability of the steps of the random walk. Thereafter, in the PMP framework, two drift-diffusion processes and the corresponding FP models with two different control strategies for an optimal control problem with an expectation functional are considered. In the first strategy, the controls depend on time and in the second one, the controls depend on space and time. In both cases a solution to the corresponding optimal control problem is characterized with the PMP conditions, stated in Theorem 48 and Theorem 49. The well-posedness of the SQH scheme is shown in both cases and further conditions are discussed that ensure the convergence of the SQH scheme to a PMP consistent solution. The case of a space and time dependent control strategy results in a special structure of the corresponding PMP conditions that is exploited in another solution method, the so-called direct Hamiltonian (DH) method.
This work deals with the development and application of novel quantum Monte Carlo methods to simulate fermion-boson models. Our developments are based on the path-integral formalism, where the bosonic degrees of freedom are integrated out exactly to obtain a retarded fermionic interaction. We give an overview of three methods that can be used to simulate retarded interactions. In particular, we develop a novel quantum Monte Carlo method with global directed-loop updates that solves the autocorrelation problem of previous approaches and scales linearly with system size. We demonstrate its efficiency for the Peierls transition in the Holstein model and discuss extensions to other fermion-boson models as well as spin-boson models. Furthermore, we show how with the help of generating functionals bosonic observables can be recovered directly from the Monte Carlo configurations. This includes estimators for the boson propagator, the fidelity susceptibility, and the specific heat of the Holstein model. The algorithmic developments of this work allow us to study the specific heat of the spinless Holstein model covering its entire parameter range. Its key features are explained from the single-particle spectral functions of electrons and phonons. In the adiabatic limit, the spectral properties are calculated exactly as a function of temperature using a classical Monte Carlo method and compared to results for the Su-Schrieffer-Heeger model.
The importance of Clinical Data Warehouses (CDW) has increased significantly in recent years as they support or enable many applications such as clinical trials, data mining, and decision making.
CDWs integrate Electronic Health Records which still contain a large amount of text data, such as discharge letters or reports on diagnostic findings in addition to structured and coded data like ICD-codes of diagnoses.
Existing CDWs hardly support features to gain information covered in texts.
Information extraction methods offer a solution for this problem but they have a high and long development effort, which can only be carried out by computer scientists.
Moreover, such systems only exist for a few medical domains.
This paper presents a method empowering clinicians to extract information from texts on their own. Medical concepts can be extracted ad hoc from e.g. discharge letters, thus physicians can work promptly and autonomously. The proposed system achieves these improvements by efficient data storage, preprocessing, and with powerful query features. Negations in texts are recognized and automatically excluded, as well as the context of information is determined and undesired facts are filtered, such as historical events or references to other persons (family history).
Context-sensitive queries ensure the semantic integrity of the concepts to be extracted.
A new feature not available in other CDWs is to query numerical concepts in texts and even filter them (e.g. BMI > 25).
The retrieved values can be extracted and exported for further analysis.
This technique is implemented within the efficient architecture of the PaDaWaN CDW and evaluated with comprehensive and complex tests.
The results outperform similar approaches reported in the literature.
Ad hoc IE determines the results in a few (milli-) seconds and a user friendly GUI enables interactive working, allowing flexible adaptation of the extraction.
In addition, the applicability of this system is demonstrated in three real-world applications at the Würzburg University Hospital (UKW).
Several drug trend studies are replicated: Findings of five studies on high blood pressure, atrial fibrillation and chronic renal failure can be partially or completely confirmed in the UKW. Another case study evaluates the prevalence of heart failure in inpatient hospitals using an algorithm that extracts information with ad hoc IE from discharge letters and echocardiogram report (e.g. LVEF < 45 ) and other sources of the hospital information system.
This study reveals that the use of ICD codes leads to a significant underestimation (31%) of the true prevalence of heart failure.
The third case study evaluates the consistency of diagnoses by comparing structured ICD-10-coded diagnoses with the diagnoses described in the diagnostic section of the discharge letter.
These diagnoses are extracted from texts with ad hoc IE, using synonyms generated with a novel method.
The developed approach can extract diagnoses from the discharge letter with a high accuracy and furthermore it can prove the degree of consistency between the coded and reported diagnoses.
Insulin-like growth factor-I (IGF-I) is a 70-amino acid polypeptide with a molecular weight of approximately 7.6 kDa acting as an anabolic effector. It is essential for tissue growth and remodeling. Clinically, it is used for the treatment of growth disorders and has been proposed for various other applications including musculoskeletal diseases. Unlike insulin, IGF-I is complexed to at least six high-affinity binding proteins (IGFBPs) exerting homeostatic effects by modulating IGF-I availability to its receptor (IGF-IR) on most cells in the body as well as changing the distribution of the growth factor within the organism.1-3 Short half-lived IGF-I have been the driving forces for the design of localized IGF-I depot systems or protein modification with enhanced pharmacokinetic properties. In this thesis, we endeavor to present a versatile biologic into which galenical properties were engineered through chemical synthesis, e.g., by site-specific coupling of biomaterials or complex composites to IGF-I. For that, we redesigned the therapeutic via genetic codon expansion resulting in an alkyne introduced IGF-I, thereby becoming a substrate for biorthogonal click chemistries yielding a site-specific decoration.
In this approach, an orthogonal pyrrolysine tRNA synthetase (PylRS)/tRNAPyl CUA pair was employed to direct the co-translational incorporation of an unnatural amino acid—¬propargyl-L-lysine (plk)—bearing a clickable alkyne functional handle into IGF-I in response to the amber stop codon (UAG) introduced into the defined position in the gene of interest. We summarized the systematic optimization of upstream and downstream process alike with the ultimate goal to increase the yield of plk modified IGF-I therapeutic, from the construction of gene fusions resulting in (i) Trx-plk-IGF-I fusion variants, (ii) naturally occurring pro-IGF-I protein (IGF-I + Ea peptide) (plk-IGF-I Ea), over the subsequent bacterial cultivation and protein extraction to the final chromatographic purification. The opportunities and hurdles of all of the above strategies were discussed. Evidence was provided that the wild-type IGF-I yields were pure by exploiting the advantages of the pHisTrx expression vector system in concert with a thrombin enzyme with its highly specific proteolytic digestion site and multiple-chromatography steps. The alkyne functionality was successfully introduced into IGF-I by amber codon suppression. The proper folding of plk-IGF-I Ea was assessed by WST-1 proliferation assay and the detection of phosphorylated AKT in MG-63 cell lysate. The purity of plk-IGF-I Ea was monitored with RP-HPLC and SDS-PAGE analysis. This work also showed site-specific coupling an alkyne in plk-IGF-I Ea by copper (I)-catalyzed azide-alkyne cycloaddition (CuAAC) with potent activities in vitro. The site-specific immobilization of plk-IGF-I Ea to the model carrier (i.e., agarose beads) resulted in enhanced cell proliferation and adhesion surrounding the IGF-I-presenting particles. Cell proliferation and differentiation were enhanced in the accessibility of IGF-I decorated beads, reflecting the multivalence on cellular performance.
Next, we aimed at effectively showing the disease environment by co-delivery of fibroblast growth factor 2 (FGF2) and IGF-I, deploying localized matrix metalloproteinases (MMPs) upregulation as a surrogate marker driving the response of the drug delivery system. For this purpose, we genetically engineered FGF2 variant containing an (S)-2-amino-6-(((2-azidoethoxy)carbonyl)amino)hexanoic acid incorporated at its N-terminus, followed by an MMPs-cleavable linker (PCL) and FGF2 sequence, thereby allowing site-directed, specific decoration of the resultant azide-PCL-FGF2 with the previously mentioned plk-IGF-I Ea to generate defined protein-protein conjugates with a PCL in between. The click reaction between plk-IGF-I Ea and azide-PCL-FGF2 was systematically optimized to increase the yield of IGF-FGF conjugates, including reaction temperature, incubation duration, the addition of anionic detergent, and different ratios of the participating biopharmaceutics. The challenge here was that CuAAC reaction components or conditions might oxidize free cysteines of azide-PCL-FGF2 and future work needs to present the extent of activity retention after conjugation. Furthermore, our study provides potential options for dual-labeling of IGF-I either by the introduction of unnatural amino acids within two distinct positions of the protein of interest for parallel “double-click” labeling of the resultant plk-IGF-I Ea-plk or by using a combination of enzymatic-catalyzed and CuAAC bioorthogonal coupling strategies for sequentially dual-labeling of plk-IGF-I Ea.
In conclusion, genetic code expansion in combination with click-chemistry provides the fundament for novel IGF-I analogs allowing unprecedented site specificity for decoration. Considerable progress towards IGF-I based therapies with enhanced pharmacological properties was made by demonstrating the feasibility of the expression of plk incorporated IGF-I using E. coli and retained activity of unconjugated and conjugated IGF-I variant. Dual-labeling of IGF-I provides further insights into the functional requirements of IGF-I. Still, further investigation warrants to develop precise IGF-I therapy through unmatched temporal and spatial regulation of the pleiotropic IGF-I.
Advanced Analytics in Operations Management and Information Systems: Methods and Applications
(2019)
The digital transformation of business and society presents enormous potentials for companies across all sectors. Fueled by massive advances in data generation, computing power, and connectivity, modern organizations have access to gigantic amounts of data. Companies seek to establish data-driven decision cultures to leverage competitive advantages in terms of efficiency and effectiveness. While most companies focus on descriptive tools such as reporting, dashboards, and advanced visualization, only a small fraction already leverages advanced analytics (i.e., predictive and prescriptive analytics) to foster data-driven decision-making today. Therefore, this thesis set out to investigate potential opportunities to leverage prescriptive analytics in four different independent parts.
As predictive models are an essential prerequisite for prescriptive analytics, the first two parts of this work focus on predictive analytics. Building on state-of-the-art machine learning techniques, we showcase the development of a predictive model in the context of capacity planning and staffing at an IT consulting company. Subsequently, we focus on predictive analytics applications in the manufacturing sector. More specifically, we present a data science toolbox providing guidelines and best practices for modeling, feature engineering, and model interpretation to manufacturing decision-makers. We showcase the application of this toolbox on a large data-set from a German manufacturing company.
Merely using the improved forecasts provided by powerful predictive models enables decision-makers to generate additional business value in some situations. However, many complex tasks require elaborate operational planning procedures. Here, transforming additional information into valuable actions requires new planning algorithms. Therefore, the latter two parts of this thesis focus on prescriptive analytics. To this end, we analyze how prescriptive analytics can be utilized to determine policies for an optimal searcher path problem based on predictive models. While rapid advances in artificial intelligence research boost the predictive power of machine learning models, a model uncertainty remains in most settings. The last part of this work proposes a prescriptive approach that accounts for the fact that predictions are imperfect and that the arising uncertainty needs to be considered. More specifically, it presents a data-driven approach to sales-force scheduling. Based on a large data set, a model to predictive the benefit of additional sales effort is trained. Subsequently, the predictions, as well as the prediction quality, are embedded into the underlying team orienteering problem to determine optimized schedules.
Since its first experimental implementation in 2005, single-molecule localization microscopy (SMLM) emerged as a versatile and powerful imaging tool for biological structures with nanometer resolution. By now, SMLM has compiled an extensive track-record of novel insights in sub- and inter- cellular organization.\\
Moreover, since all SMLM techniques rely on the analysis of emission patterns from isolated fluorophores, they inherently allocate molecular information $per$ $definitionem$.\\
Consequently, SMLM transitioned from its origin as pure high-resolution imaging instrument towards quantitative microscopy, where the key information medium is no longer the highly resolved image itself, but the raw localization data set.\\
The work presented in this thesis is part of the ongoing effort to translate those $per$ $se$ molecular information gained by SMLM imaging to insights into the structural organization of the targeted protein or even beyond. Although largely consistent in their objectives, the general distinction between global or segmentation clustering approaches on one side and particle averaging or meta-analyses techniques on the other is usually made.\\
During the course of my thesis, I designed, implemented and employed numerous quantitative approaches with varying degrees of complexity and fields of application.\\ \\
In my first major project, I analyzed the localization distribution of the integral protein gp210 of the nuclear pore complex (NPC) with an iterative \textit{k}-means algorithm. Relating the distinct localization statistics of separated gp210 domains to isolated fluorescent signals led, among others, to the conclusion that the anchoring ring of the NPC consists of 8 homo-dimers of gp210.\\
This is of particular significance, both because it answered a decades long standing question about the nature of the gp210 ring and it showcased the possibility to gain structural information well beyond the resolution capabilities of SMLM by crafty quantification approaches.\\ \\
The second major project reported comprises an extensive study of the synaptonemal complex (SNC) and linked cohesin complexes. Here, I employed a multi-level meta-analysis of the localization sets of various SNC proteins to facilitate the compilation of a novel model of the molecular organization of the major SNC components with so far unmatched extend and detail with isotropic three-dimensional resolution.\\
In a second venture, the two murine cohesin components SMC3 and STAG3 connected to the SNC were analyzed. Applying an adapted algorithm, considering the disperse nature of cohesins, led to the realization that there is an apparent polarization of those cohesin complexes in the SNC, as well as a possible sub-structure of STAG3 beyond the resolution capabilities of SMLM.\\ \\
Other minor projects connected to localization quantification included the study of plasma membrane glycans regarding their overall localization distribution and particular homogeneity as well as the investigation of two flotillin proteins in the membrane of bacteria, forming clusters of distinct shapes and sizes.\\ \\
Finally, a novel approach to three-dimensional SMLM is presented, employing the precise quantification of single molecule emitter intensities. This method, named TRABI, relies on the principles of aperture photometry which were improved for SMLM.\\
With TRABI it was shown, that widely used Gaussian fitting based localization software underestimates photon counts significantly. This mismatch was utilized as a $z$-dependent parameter, enabling the conversion of 2D SMLM data to a virtual 3D space. Furthermore it was demonstrated, that TRABI can be combined beneficially with a multi-plane detection scheme, resulting in superior performance regarding axial localization precision and resolution.\\
Additionally, TRABI has been subsequently employed to photometrically characterize a novel dye for SMLM, revealing superior photo-physical properties at the single-molecule level.\\
Following the conclusion of this thesis, the TRABI method and its applications remains subject of diverse ongoing research.
Maps are the main tool to represent geographical information. Users often zoom in and out to access maps at different scales. Continuous map generalization tries to make the changes between different scales smooth, which is essential to provide users with comfortable zooming experience.
In order to achieve continuous map generalization with high quality, we optimize some important aspects of maps. In this book, we have used optimization in the generalization of land-cover areas, administrative boundaries, buildings, and coastlines. According to our experiments, continuous map generalization indeed benefits from optimization.
The quest for finding a unifying theory for both quantum theory and gravity lies at the heart of much of the research in high energy physics. Although recent years have witnessed spectacular experimental confirmation of our expectations from Quantum Field Theory and General Relativity, the question of unification remains as a major open problem. In this context, the perturbative aspects of quantum black holes represent arguably the best of our knowledge of how to proceed in this pursue.
In this thesis we investigate certain aspects of quantum gravity in 2 + 1 dimensional anti-de Sitter space (AdS3), and its connection to Conformal field theories in 1 + 1 dimensions (CFT2), via the AdS/CFT correspondence.
We study the thermodynamics properties of higher spin black holes. By focusing on the spin-4 case, we show that black holes carrying higher spin charges display a rich phase diagram in the grand canonical ensemble, including phase transitions of the Hawking-Page type, first order inter-black hole transitions, and a second order critical point.
We investigate recent proposals on the connection between bulk codimension-1 volumes and computational complexity in the CFT. Using Tensor Networks we provide concrete evidence of why these bulk volumes are related to the number of gates in a quantum circuit, and exhibit their topological properties. We provide a novel formula to compute this complexity directly in terms of entanglement entropies, using techniques from Kinematic space.
We then move in a slightly different direction, and study the quantum properties of black holes via de Functional Renormalisation Group prescription coming from Asymptotic safety. We avoid the arbitrary scale setting by restricting to a narrower window in parameter space, where only Newton’s coupling and the cosmological constant are allowed to vary. By one assumption on the properties of Newton’s coupling, we find black hole solutions explicitly. We explore their thermodynamical properties, and discover that very large black holes exhibit very unusual features.
The FDA approval of targeted therapy with BRAFV600E inhibitors like vemurafenib and dabrafenib in 2011 has been the first major breakthrough in the treatment of metastatic melanoma since almost three decades. Despite increased progression free survival and elevated overall survival rates, complete responses are scarce due to resistance development approximately six months after the initial drug treatment. It was previously shown in our group that melanoma cells under vemurafenib pressure in vitro and in vivo exhibit features of drug-induced senescence. It is known that some cell types, which undergo this cell cycle arrest, develop a so-called senescence associated secretome and it has been reported that melanoma cell lines also upregulate the expression of different factors after senescence induction. This work describes the effect of the vemurafenib-induced secretome on cells. Conditioned supernatants of vemurafenib-treated cells increased the viability of naive fibroblast and melanoma cell lines. RNA analysis of donor melanoma cells revealed elevated transcriptional levels of FGF1, MMP2 and CCL2 in the majority of tested cell lines under vemurafenib pressure, and I could confirm the secretion of functional proteins. Similar observations were also done after MEK inhibition as well as in a combined BRAF and MEK inhibitor treatment situation. Interestingly, the transcription of other FGF ligands (FGF7, FGF17) was also elevated after MEK/ERK1/2 inhibition. As FGF receptors are therapeutically relevant, I focused on the analysis of FGFR-dependent processes in response to BRAF inhibition. Recombinant FGF1 increased the survival rate of melanoma cells under vemurafenib pressure, while inhibition of the FGFR pathway diminished the viability of melanoma cells in combination with vemurafenib and blocked the stimulatory effect of vemurafenib conditioned medium. The BRAF inhibitor induced secretome is regulated by active PI3K/AKT signaling, and the joint inhibition of mTor and BRAFV600E led to decreased senescence induction and to a diminished induction of the secretome-associated genes. In parallel, combined inhibition of MEK and PI3K also drastically decreased mRNA levels of the relevant secretome components back to basal levels.
In summary, I could demonstrate that BRAF inhibitor treated melanoma cell lines acquire a specific PI3K/AKT dependent secretome, which is characterized by FGF1, CCL2 and MMP2. This secretome is able to stimulate other cells such as naive melanoma cells and fibroblasts and contributes to a better survival under drug pressure. These data are therapeutically highly relevant, as they imply the usage of novel drug combinations, especially specific FGFR inhibitors, with BRAF inhibitors in the clinic.
Automation in Software Performance Engineering Based on a Declarative Specification of Concerns
(2019)
Software performance is of particular relevance to software system design, operation, and evolution because it has a significant impact on key business indicators. During the life-cycle of a software system, its implementation, configuration, and deployment are subject to multiple changes that may affect the end-to-end performance characteristics. Consequently, performance analysts continually need to provide answers to and act based on performance-relevant concerns. To ensure a desired level of performance, software performance engineering provides a plethora of methods, techniques, and tools for measuring, modeling, and evaluating performance properties of software systems. However, the answering of performance concerns is subject to a significant semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted. Performance evaluation approaches come with different strengths and limitations concerning, for example, accuracy, time-to-result, or system overhead. For the involved stakeholders, it can be an elaborate process to reasonably select, parameterize and correctly apply performance evaluation approaches, and to filter and interpret the obtained results. An additional challenge is that available performance evaluation artifacts may change over time, which requires to switch between different measurement-based and model-based performance evaluation approaches during the system evolution. At model-based analysis, the effort involved in creating performance models can also outweigh their benefits.
To overcome the deficiencies and enable an automatic and holistic evaluation of performance throughout the software engineering life-cycle requires an approach that: (i) integrates multiple types of performance concerns and evaluation approaches, (ii) automates performance model creation, and (iii) automatically selects an evaluation methodology tailored to a specific scenario. This thesis presents a declarative approach —called Declarative Performance Engineering (DPE)— to automate performance evaluation based on a humanreadable specification of performance-related concerns. To this end, we separate the definition of performance concerns from their solution. The primary scientific contributions presented in this thesis are:
A declarative language to express performance-related concerns and a corresponding processing framework:
We provide a language to specify performance concerns independent of a concrete performance evaluation approach. Besides the specification of functional aspects, the language allows to include non-functional tradeoffs optionally. To answer these concerns, we provide a framework architecture and a corresponding reference implementation to process performance concerns automatically. It allows to integrate arbitrary performance evaluation approaches and is accompanied by reference implementations for model-based and measurement-based performance evaluation.
Automated creation of architectural performance models from execution traces:
The creation of performance models can be subject to significant efforts outweighing the benefits of model-based performance evaluation. We provide a model extraction framework that creates architectural performance models based on execution traces, provided by monitoring tools.The framework separates the derivation of generic information from model creation routines. To derive generic information, the framework combines state-of-the-art extraction and estimation techniques. We isolate object creation routines specified in a generic model builder interface based on concepts present in multiple performance-annotated architectural modeling formalisms. To create model extraction for a novel performance modeling formalism, developers only need to write object creation routines instead of creating model extraction software from scratch when reusing the generic framework.
Automated and extensible decision support for performance evaluation approaches:
We present a methodology and tooling for the automated selection of a performance evaluation approach tailored to the user concerns and application scenario. To this end, we propose to decouple the complexity of selecting a performance evaluation approach for a given scenario by providing solution approach capability models and a generic decision engine. The proposed capability meta-model enables to describe functional and non-functional capabilities of performance evaluation approaches and tools at different granularities. In contrast to existing tree-based decision support mechanisms, the decoupling approach allows to easily update characteristics of solution approaches as well as appending new rating criteria and thereby stay abreast of evolution in performance evaluation tooling and system technologies.
Time-to-result estimation for model-based performance prediction:
The time required to execute a model-based analysis plays an important role in different decision processes. For example, evaluation scenarios might require the prediction results to be available in a limited period of time such that the system can be adapted in time to ensure the desired quality of service. We propose a method to estimate the time-to-result for modelbased performance prediction based on model characteristics and analysis parametrization. We learn a prediction model using performancerelevant features thatwe determined using statistical tests. We implement the approach and demonstrate its practicability by applying it to analyze a simulation-based multi-step performance evaluation approach for a representative architectural performance modeling formalism.
We validate each of the contributions based on representative case studies. The evaluation of automatic performance model extraction for two case study systems shows that the resulting models can accurately predict the performance behavior. Prediction accuracy errors are below 3% for resource utilization and mostly less than 20% for service response time. The separate evaluation of the reusability shows that the presented approach lowers the implementation efforts for automated model extraction tools by up to 91%. Based on two case studies applying measurement-based and model-based performance evaluation techniques, we demonstrate the suitability of the declarative performance engineering framework to answer multiple kinds of performance concerns customized to non-functional goals. Subsequently, we discuss reduced efforts in applying performance analyses using the integrated and automated declarative approach. Also, the evaluation of the declarative framework reviews benefits and savings integrating performance evaluation approaches into the declarative performance engineering framework. We demonstrate the applicability of the decision framework for performance evaluation approaches by applying it to depict existing decision trees. Then, we show how we can quickly adapt to the evolution of performance evaluation methods which is challenging for static tree-based decision support systems. At this, we show how to cope with the evolution of functional and non-functional capabilities of performance evaluation software and explain how to integrate new approaches. Finally, we evaluate the accuracy of the time-to-result estimation for a set of machinelearning algorithms and different training datasets. The predictions exhibit a mean percentage error below 20%, which can be further improved by including performance evaluations of the considered model into the training data. The presented contributions represent a significant step towards an integrated performance engineering process that combines the strengths of model-based and measurement-based performance evaluation. The proposed performance concern language in conjunction with the processing framework significantly reduces the complexity of applying performance evaluations for all stakeholders. Thereby it enables performance awareness throughout the software engineering life-cycle. The proposed performance concern language removes the semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted by the user.
An efficient foraging strategy is one of the most important traits for the fitness of animals. The theory of optimal foraging tries to predict foraging behaviour through the overarching question: how animals should forage so as to minimize costs while maximizing profits? Social insects, having occupied nearly every natural niche through widely different strategies, offer themselves as an ideal group to study how well optimal foraging theory can explain their behaviour and success.
Specialization often leads to unique adaptations in morphology and behaviour. I therefore decided to investigate the behaviour of Megaponera analis. This ponerine ant species is specialized on hunting only termites of the subfamily Macrotermitinae at their foraging sites. Their foraging behaviour is regulated by a handful of individual scouts (10-20) that search for termite foraging sites before returning to the nest to recruit a large number of nestmates (200-500 ants). These ants then follow the scout in a column formation to the termites and after the hunt return together to the nest, these raids occur two to five times per day.
Predators of highly defensive prey likely develop cost reducing adaptations. The evolutionary arms race between termites and ants led to various defensive mechanisms in termites, e.g. a caste specialized in fighting predators. As M. analis incurs high injury/mortality risks when preying on termites, some risk mitigating adaptations have evolved. I show that a unique rescue behaviour in M. analis, consisting of injured nestmates being carried back to the nest, reduces combat mortality. These injured ants “call for help” with pheromones present in their mandibular gland reservoirs. A model accounting for this rescue behaviour identifies the drivers favouring its evolution and estimates that rescuing allows for maintaining a 29% larger colony size. Heavily injured ants that lost too many legs during the fight on the other hand are not helped. Interestingly, this was regulated not by the helper but by the uncooperativeness of the injured ant. I further observed treatment of the injury by nestmates inside the nest through intense allogrooming directly at the wound. Lack of treatment increased mortality from 10% to 80% within 24 hours, with the cause of death most likely being infections.
Collective decision-making is one of the main mechanisms in social insects through which foraging is regulated. However, individual decision-making can also play an important role, depending on the type of foraging behaviour. In M. analis only a handful of individuals (the scouts) hold all the valuable information about foraging sites. I therefore looked at predictions made by optimal foraging theory to better understand the interplay between collective and individual decision-making in this obligate group-raiding predator. I found a clear positive relation between raid size and termite abundance at the foraging site. Furthermore, selectivity of the food source increased with distance. The confirmation of optimal foraging theory suggests that individual scouts must be the main driver behind raid size, choice and raiding behaviour. Therefore most central place foraging behaviours in M. analis were not achieved by collective decisions but rather by individual decisions of scout ants. Thus, 1% of the colony (10–20 scouts) decided the fate and foraging efficiency of the remaining 99%.
Division of labour is one of the main reasons for the success of social insects. Worker polymorphism, age polyethism and work division in more primitive ants, like the ponerines, remain mostly unexplored though. Since M. analis specializes on a defensive prey, adaptations to reduce their foraging costs can be expected. I found that the work division, task allocation and column-formation during the hunt were much more sophisticated than was previously thought. The column-formation was remarkably stable, with the same ants resuming similar positions in subsequent raids and front ants even returning to their positions if displaced in the same raid. Most of the raid tasks were not executed by predetermined members of the raid but were filled out as need arose during the hunt, with a clear preference for larger ants to conduct most tasks.
I show that specialization towards a highly defensive prey can lead to very unique adaptations in the foraging behaviour of a species. I explored experimentally the adaptive value of rescue behaviour focused on injured nestmates in social insects. This was not only limited to selective rescuing of lightly injured individuals by carrying them back (thus reducing predation risk) but moreover includes a differentiated treatment inside the nest. These observations will help to improve our understanding of the evolution of rescue behaviour in animals. I further show that most optimal foraging predictions are fulfilled and regulated by a handful of individuals in M. analis. Lastly, I propose that the continuous allometric size polymorphism in M. analis allows for greater flexibility in task allocation, necessary due to the unpredictability of task requirements in an irregular system such as hunting termites in groups. All of my observations help to further understand how a group-hunting predator should forage so as to minimize costs while maximizing profits.
Disruptions in brain serotonin (5-hydroxytryptamine, 5-HT) signaling pathways have been associated with etiology and pathogenesis of various neuropsychiatric disorders, but specific neural mechanisms of 5-HT function are yet to be fully elucidated. Tryptophan hydroxylase 2 (TPH2) is the rate-limiting enzyme for brain 5-HT synthesis. Therefore, in this study a tamoxifen (Tam)-inducible cre-mediated conditional gene (Tph2) knockout in adult mouse brain (Tph2icKO) has been established to decipher the specific role of brain 5-HT in the regulation of behavior in adulthood.
Immunohistochemistry and high-performance liquid chromatography (HPLC) were used first to test the efficacy of Tam-inducible inactivation of Tph2 and consequential reduction of 5-HT in adult mouse brain. Tam treatment resulted in ≥90% reduction in the number of 5-HT immuno-reactive cells in the anterior raphe nuclei. HPLC revealed a significant reduction in concentration of 5-HT and its metabolite 5-hydroxyindole acetic acid (5-HIAA) in selected brain regions of Tph2icKO, indicating the effectiveness of the protocol used.
Second, standard behavioral tests were used to assess whether reduced brain 5-HT concentrations could alter anxiety-, fear- and depressive-like behavior in mice. No altered anxiety- and depressive-like behaviors were observed in Tph2icKO compared to control mice (Tph2CON) in all indices measured, but Tph2icKO mice exhibited intense and sustained freezing during context-dependent fear memory retrieval. Tph2icKO mice also exhibited locomotor hyperactivity in the aversive environments, such as the open field, and consumed more food and fluid than Tph2CON mice.
Lastly, the combined effect of maternal separation (MS) stress and adult brain 5-HT depletion on behavior was assessed in male and female mice. Here, MS stress, 5-HT depletion and their interaction elicited anxiety-like behavior in a sex-dependent manner. MS reduced exploratory behavior in both male and female mice. Reduced 5-HT enhanced anxiety in female, but not in male mice.
Furthermore, expression of genes related to the 5-HT system and emotionality (Tph2, Htr1a, Htr2a, Maoa and Avpr1a) was assessed by performing a quantitative real-time PCR. In Tph2icKO mice there was a reduction in expression of Tph2 in the raphe nuclei of both male and female mice. Interaction between MS stress and 5-HT deficiency was detected showing increased Htr2a and Maoa expression in raphe and hippocampus respectively of female mice. In male mice, MS stress and 5-HT depletion interaction effects reduced Avpr1a expression in raphe, while the expression of Htr1a, Htr2a and Maoa was differentially altered by 5-HT depletion and MS in various brain regions.
Since Channelrhodopsins has been described first and introduced successfully in freely moving animals (Nagel et al., 2003 and 2005), tremendous impact has been made in this interesting field of neuroscience. Subsequently, many different optogenetic tools have been described and used to address long-lasting scientific issues. Furthermore, beside the ‘classical’ Channelrhodopsin-2 (ChR2), basically a cation-selective ion channel, also altered ChR2 descendants, anion selective channels and light-sensitive metabotropic proteins have expanded the optogenetic toolbox. However, in spite of this variety of different tools most researches still pick Channelrhodopsin-2 for their optogenetic approaches due to its well-known kinetics. In this thesis, an improved Channelrhodopsin, Channelrhodopsin2-XXM (ChR2XXM), is described, which might become an useful tool to provide ambitious neuroscientific approaches by dint of its characteristics. Here, ChR2XXM was chosen to investigate the functional consequences of Drosophila larvae lacking latrophilin in their chordotonal organs. Finally, the functionality of GtACR, was checked at the Drosophila NMJ. For a in-depth characterisation, electrophysiology along with behavioural setups was employed. In detail, ChR2XXM was found to have a better cellular expression pattern, high spatiotemporal precision, substantial increased light sensitivity and improved affinity to its chromophore retinal, as compared to ChR2. Employing ChR2XXM, effects of latrophilin (dCIRL) on signal transmission in the chordotonal organ could be clarified with a minimum of side effects, e.g. possible heat response of the chordotonal organ, due to high light sensitivity. Moreover, optogenetic activation of the chordotonal organ, in vivo, led to behavioural changes. Additionally, GtACR1 was found to be effective to inhibit motoneuronal excitation but is accompanied by unexpected side effects. These results demonstrate that further improvement and research of optogenetic tools is highly valuable and required to enable researchers to choose the best fitting optogenetic tool to address their scientific questions.
Mammalian haloacid dehalogenase (HAD)-type phosphatases are a large and ubiquitous family of at least 40 human members. Many of them have important physiological functions, such as the regulation of intermediary metabolism and the modulation of enzyme activities, yet they are also linked to diseases such as cardiovascular or metabolic disorders and cancer.
Still, most of the mammalian HAD phosphatases remain functionally uncharacterized.
This thesis reveals novel cell biological and physiological functions of the phosphoglycolate phosphatase PGP, also referred to as AUM. To this end, PGP was functionally characterized by performing analyses using purified recombinant proteins to investigate potential protein substrates of PGP, cell biological studies using the spermatogonial cell line GC1, primary mouse lung endothelial cells and lymphocytes, and a range of biochemical techniques to characterize Pgp-deficient mouse embryos.
To characterize the cell biological functions of PGP, its role downstream of RTK- and integrin signaling in the regulation of cell migration was investigated. It was shown that PGP inactivation elevates integrin- and RTK-induced circular dorsal ruffle (CDR) formation, cell spreading and cell migration. Furthermore, PGP was identified as a negative regulator of directed lymphocyte migration upon integrin- and GPCR activation.
The underlying mechanisms were analyzed further. It was demonstrated that PGP regulates CDR formation and cell migration in a PLC- and PKC-dependent manner, and that Src family kinase activities are required for the observed cellular effects. Upon integrin- and RTK activation, phosphorylation levels of tyrosine residues 1068 and 1173 of the EGF receptor were elevated and PLCγ1 was hyper-activated in PGP-deficient cells. Additionally, PGP-inactivated lymphocytes displayed elevated PKC activity, and PKC-mediated cytoskeletal remodeling was accelerated upon loss of PGP activity. Untargeted lipidomic analyses revealed that the membrane lipid phosphatidylserine (PS) was highly upregulated in PGP-depleted cells.
These data are consistent with the hypothesis that the accumulation of PS in the plasma membrane leads to a pre-assembly of signaling molecules such as PLCγ1 or PKCs that couple the activation of integrins, EGF receptors and GPCRs to accelerated cytoskeletal remodeling.
Thus, this thesis shows that PGP can affect cell spreading and cell migration by acting as a PG-directed phosphatase.
To understand the physiological functions of PGP, conditionally PGP-inactivated mice were analyzed. Whole-body PGP inactivation led to an intrauterine growth defect with developmental delay after E8.5, resulting in a gradual deterioration and death of PgpDN/DN embryos between E9.5 and E11.5. However, embryonic lethality upon whole-body PGP inactivation was not caused by a primary defect of the (cardio-) vascular system. Rather, PGP inactivated embryos died during the intrauterine transition from hypoxic to normoxic conditions.
Therefore, the potential impact of oxygen on PGP-dependent cell proliferation was investigated. Analyses of mouse embryonic fibroblasts (MEFs) generated from E8.5 embryos and GC1 cells cultured under normoxic and hypoxic conditions revealed that normoxia (~20% O2) causes a proliferation defect in PGP-inactivated cells, which can be rescued under
hypoxic (~1% O2) conditions. Mechanistically, it was found that the activity of triosephosphate isomerase (TPI), an enzyme previously described to be inhibited by phosphoglycolate (PG) in vitro, was attenuated in PGP-inactivated cells and embryos. TPI constitutes a critical branch point between carbohydrate- and lipid metabolism because it catalyzes the isomerization of the glycolytic intermediates dihydroxyacetone phosphate (DHAP, a precursor of the glycerol backbone required for triglyceride biosynthesis) and glyceraldehyde 3’-phosphate (GADP).
Attenuation of TPI activity, likely explains the observed elevation of glycerol 3-phosphate levels and the increased TG biosynthesis (lipogenesis). Analyses of ATP levels and oxygen consumption rates (OCR) showed that mitochondrial respiration rates and ATP production were elevated in PGP-deficient cells in a lipolysis-dependent manner. However under hypoxic conditions (which corrected the impaired proliferation of PGP-inactivated cells), OCR and ATP production was indistinguishable between PGP-deficient and PGP-proficient cells. We therefore propose that the inhibition of TPI activity by PG accumulation due to loss of PGP activity shifts cellular bioenergetics from a pro-proliferative, glycolytic metabolism to a lipogenetic/lipolytic metabolism.
Taken together, PGP acts as a metabolic phosphatase involved in the regulation of cell migration, cell proliferation and cellular bioenergetics. This thesis constitutes the basis for further studies of the interfaces between these processes, and also suggests functions of PGP for glucose and lipid metabolism in the adult organism.
Characterization of novel rhodopsins with light-regulated cGMP production or cGMP degradation
(2019)
Photoreceptors are widely occurring in almost all kingdoms of life. They mediate the first step in sensing electromagnetic radiation of different wavelength. Absorption spectra are found within the strongest radiation from the sun and absorption usually triggers downstream signaling pathways. Until now, mainly 6 classes of representative photoreceptors are known: five water-soluble proteins, of these three classes of blue light-sensitive proteins including LOV (light-oxygen-voltage), BLUF (blue-light using FAD), and cryptochrome modules with flavin (vitamin B-related) nucleotides as chromophore; while two classes of yellow and red light-sensitive proteins consist of xanthopsin and phytochrome, respectively. Lastly, as uniquely integral membrane proteins, the class of rhodopsins can usually sense over a wide absorption spectrum, ranging from ultra-violet to green and even red light. Rhodopsins can be further divided into two types, i.e., microbial (type I) and animal (type II) rhodopsins. Rhodopsins consist of the protein opsin and the covalently bound chromophore retinal (vitamin A aldehyde). In this thesis, I focus on identification and characterization of novel type I opsins with guanylyl cyclase activity from green algae and a phosphodiesterase opsin from the protist Salpingoeca rosetta.
Until 2014, all known type I and II rhodopsins showed a typical structure with seven transmembrane helices (7TM), an extracellular N-terminus and a cytosolic C-terminus. The proven function of the experimentally characterized type I rhodopsins was membrane transport of ions or the coupling to a transducer which enables phototaxis via a signaling chain. A completely new class of type I rhodopsins with enzymatic activity was identified in 2014. A light-activated guanylyl cyclase opsin was discovered in the fungus Blastocladiella emersonii which was named Cyclop (Cyclase opsin) by Gao et al. (2015), after heterologous expression and rigorous in-vitro characterization. BeCyclop is the first opsin for which an 8 transmembrane helices (8TM) structure was demonstrated by Gao et al. (2015). Earlier (2004), a novel class of enzymatic rhodopsins was predicted to exist in C. reinhardtii by expressed sequence tag (EST) and genome data, however, no functional data were provided up to now. The hypothetical rhodopsin included an N-terminal opsin domain, a fused two-component system with histidinekinase and response regulator domain, and a C-terminal guanylyl cyclase (GC) domain. This suggested that there could be a biochemical signaling cascade, integrating light-induction and ATP-dependent phosphate transfer, and as output the light-sensitive cGMP production.
One of my projects focused on characterizing two such opsins from the green algae Chlamydomonas reinhardtii and Volvox carteri which we then named 2c-Cyclop (two-component Cyclase opsin), Cr2c-Cyclop and Vc2c-Cyclop, respectively. My results show that both 2c-Cyclops are light-inhibited GCs. Interestingly, Cr2c-Cyclop and Vc2c-Cyclop are very sensitive to light and ATP-dependent, whereby the action spectra of Cr2c-Cyclop and Vc2c-Cyclop peak at ~540 nm and ~560 nm, respectively. More importantly, guanylyl cyclase activity is dependent on continuous phosphate transfer between histidine kinase and response regulator. However, green light can dramatically block phosphoryl group transfer and inhibit cyclase activity. Accordingly, mutation of the retinal-binding lysine in the opsin domain resulted in GC activity and lacking light-inhibition.
A novel rhodopsin phosphodiesterase from the protist Salpingoeca rosetta (SrRhoPDE) was discovered in 2017. However, the previous two studies of 2017 claimed a very weak or absent light-regulation. Here I give strong evidence for light-regulation by studying the activity of SrRhoPDE, expressed in Xenopus laevis oocytes, in-vitro at different cGMP concentrations. Surprisingly, hydrolysis of cGMP shows a ~100-fold higher turnover than that of cAMP. Light can enhance substrate affinity by decreasing the Km value for cGMP from 80 μM to 13 μM, but increases the maximum turnover only by ~30%. In addition, two key single mutants, SrRhoPDE K296A or K296M, can abolish the light-activation effect by interrupting a covalent bond of Schiff base type to the chromophore retinal. I also demonstrate that SrRhoPDE shows cytosolic N- and C- termini, most likely via an 8-TM structure. In the future, SrRhoPDE can be a potentially useful optogenetic tool for light-regulation of cGMP concentration, possibly after further improvements by genetic engineering.
A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual’s genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism.
In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos.
The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules.
The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.
Articular cartilage lesions that occur upon intensive sport, trauma or degenerative disease represent a severe therapeutic problem. At present, osteoarthritis is the most common joint disease worldwide, affecting around 10% of men and 18% of women over 60 years of age (302). The poor self-regeneration capacity of cartilage and the lack of efficient therapeutic treatment options to regenerate durable articular cartilage tissue, provide the rationale for the development of new treatment options based on cartilage tissue engineering approaches (281). The integrated use of cells, biomaterials and growth factors to guide tissue development has the potential to provide functional substitutes of lost or damaged tissues (2,3). For the regeneration of cartilage, the availability of mesenchymal stromal cells (MSCs) or their recruitment into the defect site is fundamental (281). Due to their high proliferation capacity, the possibility to differentiate into chondrocytes and their potential to attract other progenitor cells into the defect site, bone marrow-derived mesenchymal stromal cells (BMSCs) are still regarded as an attractive cell source for cartilage tissue engineering (80). However, in order to successfully engineer cartilage tissue, a better understanding of basic principles of developmental processes and microenvironmental cues that guide chondrogenesis is required.
Chronic Kidney Disease as an Important Co-morbid Condition in Coronary Heart Disease Patients
(2019)
In patients with coronary heart disease (CHD) the control of the modifiable “traditional” cardiovascular risk factors such as hypertension, dyslipidemia, diabetes, achieving/maintaining normal body weight and smoking cessation is of major importance to improve prognosis. Guideline recommendations for secondary CHD prevention include specific treatment targets for blood pressure, lipid levels, and markers of glucose metabolism for both younger and older patients. Chronic kidney disease (CKD) has been identified as a “non-traditional” risk factor for worse outcome in CHD patients, as it is associated with a markedly increased risk for subsequent CV events and mortality.
The specific objectives of the current thesis-project are to investigate (a) the quality of care in a recent sample of German CHD patients and to investigate variation of risk factor control between younger and elder patients (≤70 versus >70 years), (b) to analyze the prevalence of CKD across Europe in stable CHD patients in the outpatient setting and during a hospital stay for CHD, (c) to investigate the level of awareness of CKD in German CHD patients and their treating physicians.
Data from the European-wide EUROASPIRE IV study were used that include data on 7998 CHD patients in the ambulatory setting (study visit) and during a hospital stay for CHD (index). The German EUROASPIRE IV study center in Würzburg recruited 536 patients in 2012-2013. Risk factor control was compared against the current recommendations of the European Society of Cardiology. CKD was described by stages of glomerular filtration rate (eGFR) and albuminuria. German patients were asked in an additional kidney specific module whether they have ever been told by a physician about renal impairment. The fact that CKD or acute kidney injury (AKI) was mentioned in prominent parts of the hospital discharge letter as well as correct ICD-coding of CKD or AKI served as a proxy for physician’s awareness of CKD.
The majority of German CHD patients was treated with the recommended drug therapies including e.g. β-blockers, anti-platelets and statins. However, treatment targets for blood pressure and LDL-cholesterol levels were not achieved in many patients (45% and 53%, respectively) and glycemic control in diabetic CHD patients with HbA1-levels <7% was insufficient (61%). A minority of patients reported on current smoking (10%), but unhealthy life-styles e.g. overweight/obesity (85%/37%) were frequent. Patterns of care differed between younger and older CHD patients while older patients were less likely to receive the recommended medical CHD-therapy, were more likely to have uncontrolled blood pressure and also to be diabetic. However, a greater proportion of diabetic patients >70 years was achieving the HbA1c target, and less elder patients were current smokers or were obese. About 17% of patients on average had CKD (eGFR< 60 ml/min/1.73m²) in the entire European sample at the study visit, and an additional 10% had albuminuria despite preserved eGFR, with considerable variation among countries. Impaired kidney function was observed in every fifth patient admitted for CHD in the entire European dataset of the EUROASPIRE IV study. Of the German CHD patients with CKD at the study visit, only a third were aware of their renal impairment. A minority of these patients was being seen by nephrologists, however, with a higher likelihood of CKD awareness and specialist care in more advanced stages of CKD. About a third of patients admitted for CHD showed either CKD or AKI during the hospital stay, but the discharge letter mentioned chronic or acute kidney disease only in every fifth of these patients. In contrast, correct ICD coding of CKD or AKI was more complete, but still suboptimal.
In summary, quality of secondary prevention in German CHD patients indicates considerably room for improvement, with life-style modifications may become an even greater factor in prevention campaigns than medical treatment into certain target ranges. Preventive therapies should also consider different needs in older individuals acknowledging physical and mental potential, other comorbidities and drug-interactions with co-medication. CKD is common in CHD patients, not only in the elderly. Since CHD and CKD affect each other and impact on worse prognosis of each other, raising the awareness of CKD among patients and physicians and considering CKD in medical therapy may improve prognosis and slow disease progression of CHD as well as CKD.
Active galactic nuclei (AGN) are among the brightest and most frequent sources on the extragalactic X-ray and gamma-ray sky. Their central supermassive blackhole generates an enormous luminostiy through accretion of the surrounding gas. A few AGN harbor highly collimated, powerful jets in which are observed across the entire electromagnetic spectrum. If their jet axis is seen in a small angle to our line-of-sight (these objects are then called blazars) jet emission can outshine any other emission component from the system. Synchrotron emission from electrons and positrons clearly prove the existence of a relativistic leptonic component in the jet plasma. But until today, it is still an open question whether heavier particles, especially protons, are accelerated as well. If this is the case, AGN would be prime candidates for extragalactic PeV neutrino sources that are observed on Earth. Characteristic signatures for protons can be hidden in the variable high-energy emission of these objects. In this thesis I investigated the broadband emission, particularly the high-energy X-ray and gamma-ray emission of jetted AGN to address open questions regarding the particle acceleration and particle content of AGN jets, or the evolutionary state of the AGN itself. For this purpose I analyzed various multiwavelength observations from optical to gamma-rays over a period of time using a combination of state-of-the-art spectroscopy and timing analysis. By nature, AGN are highly variable. Time-resolved spectral analysis provided a new dynamic view of these sources which helped to determine distinct emission processes that are difficult to disentangle from spectral or timing methods alone.
Firstly, this thesis tackles the problem of source classification in order to facilitate the search for interesting sources in large data archives and characterize new transient sources. I use spectral and timing analysis methods and supervised machine learning algorithms to design an automated source classification pipeline. The test and training sample were based on the third XMM-Newton point source catalog (3XMM-DR6). The set of input features for the machine learning algorithm was derived from an automated spectral modeling of all sources in the 3XMM-DR6, summing up to 137200 individual detections. The spectral features were complemented by results of a basic timing analysis as well as multiwavelength information provided by catalog cross-matches. The training of the algorithm and application to a test sample showed that the definition of the training sample was crucial: Despite oversampling minority source types with synthetic data to balance out the training sample, the algorithm preferably predicted majority source types for unclassified objects. In general, the training process showed that the combination of spectral, timing and multiwavelength features performed best with the lowest misclassification rate of \\sim2.4\\%.
The methods of time-resolved spectroscopy was then used in two studies to investigate the properties of two individual AGN, Mrk 421 and PKS 2004-447, in detail. Both objects belong to the class of gamma-ray emitting AGN. A very elusive sub-class are gamma-ray emitting Narrow Line Seyfert 1 (gNLS1) galaxies. These sources have been discovered as gamma-ray sources only recently in 2010 and a connection to young radio galaxies especially compact steep spectrum (CSS) radio sources has been proposed. The only gNLS1 on the Southern Hemisphere so far is PKS2004-447 which lies at the lower end of the luminosity distribution of gNLS1. The source is part of the TANAMI VLBI program and is regularly monitored at radio frequencies. In this thesis, I presented and analyzed data from a dedicated multiwavelength campaign of PKS 2004-447 which I and my collaborators performed during 2012 and which was complemented by individual observations between 2013 and 2016. I focussed on the detailed analysis of the X-ray emission and a first analysis of its broadband spectrum from radio to gamma-rays. Thanks to the dynamic SED I could show that earlier studies misinterpreted the optical spectrum of the source which had led to an underestimation of the high-energy emission and had ignited a discussion on the source class. I show that the overall spectral properties are consistent with dominating jet emission comprised of synchrotron radiation and inverse Compton scattering from accelerated leptons. The broadband emission is very similar to typical examples of a certain type of blazars (flat-spectrum radio quasars) and does not present any unusual properties in comparison. Interestingly, the VLBI data showed a compact jet structure and a steep radio spectrum consistent with a compact steep spectrum source. This classified PKS 2004-447 as a young radio galaxy, in which the jet is still developing.
The investigation of Mrk 421 introduced the blazar monitoring program which I and collaborator have started in 2014. By observing a blazar simultaneously from optical, X-ray and gamma-ray bands during a VHE outbursts, the program aims at providing extraordinary data sets to allow for the generation of a series of dynamical SEDs of high spectral and temporal resolution. The program makes use of the dense VHE monitoring by the FACT telescope. So far, there are three sources in our sample that we have been monitoring since 2014. I presented the data and the first analysis of one of the brightest and most variable blazar, Mrk 421, which had a moderate outbreak in 2015 and triggered our program for the first time. With spectral timing analysis, I confirmed a tight correlation between the X-ray and TeV energy bands, which indicated that these jet emission components are causally connected. I discovered that the variations of the optical band were both correlated and anti-correlated with the high-energy emission, which suggested an independent emission component. Furthermore, the dynamic SEDs showed two different flaring behaviors, which differed in the presence or lack of a peak shift of the low-energy emission hump. These results further supported the hypothesis that more than one emission region contributed to the broadband emission of Mrk 421 during the observations.
Overall,the studies presented in this thesis demonstrated that time-resolved spectroscopy is a powerful tool to classify both source types and emission processes of astronomical objects, especially relativistic jets in AGN, and thus provide a deeper understanding and new insights of their physics and properties.
The present thesis addresses cognitive processing of voice information. Based on general theoretical concepts regarding mental processes it will differentiate between modular, abstract information processing approaches to cognition and interactive, embodied ideas of mental processing. These general concepts will then be transferred to the context of processing voice-related information in the context of parallel face-related processing streams. One central issue here is whether and to what extent cognitive voice processing can occur independently, that is, encapsulated from the simultaneous processing of visual person-related information (and vice versa). In Study 1 (Huestegge & Raettig, in press), participants are presented with audio-visual stimuli displaying faces uttering digits.
Audiovisual gender congruency was manipulated: There were male and female faces, each uttering digits with either a male or female voice (all stimuli were AV- synchronized). Participants were asked to categorize the gender of either the face or the voice by pressing one of two keys in each trial. A central result was that audio-visual gender congruency affected performance: Incongruent stimuli were categorized slower and more error-prone, suggesting a strong cross-modal interaction of the underlying visual and auditory processing routes. Additionally, the effect of incongruent visual information on auditory classification was stronger than the effect of incongruent auditory information on visual categorization, suggesting visual dominance over auditory processing in the context of gender classification. A gender congruency effect was also present under high cognitive load. Study 2 (Huestegge, Raettig, & Huestegge, in press) utilized the same (gender-congruent and -incongruent) stimuli, but different tasks for the participants, namely categorizing the spoken digits (into odd/even or smaller/larger than 5). This should effectively direct attention away from gender information, which was no longer task-relevant. Nevertheless, congruency effects were still observed in this study. This suggests a relatively automatic processing of cross-modal gender information, which
eventually affects basic speech-based information processing. Study 3 (Huestegge, subm.) focused on the ability of participants to match unfamiliar voices to (either static or dynamic) faces. One result was that participants were indeed able to match voices to faces. Moreover, there was no evidence for any performance increase when dynamic (vs. mere static) faces had to be matched to concurrent voices. The results support the idea that common person-related source information affects both vocal and facial features, and implicit corresponding knowledge appears to be used by participants to successfully complete face-voice matching. Taken together, the three studies (Huestegge, subm.; Huestegge & Raettig, in press; Huestegge et al., in press) provided information to further develop current theories of voice processing (in the context of face processing). On a general level, the results of all three studies are not in line with an abstract, modular view of cognition, but rather lend further support to interactive, embodied accounts of mental processing.
Pro-migratory signals mediated by the tumor microenvironment contribute to the cancer progression cascade, including invasion, metastasis and resistance to therapy. Derived from in vitro studies, isolated molecular steps of cancer invasion programs have been identified but their integration into the tumor microenvironment and suitability as molecular targets remain elusive. The purpose of the study was to visualize central aspects of tumor progression, including proliferation, survival and invasion by real-time intravital microscopy. The specific aims were to monitor the kinetics, mode, adhesion and chemoattraction mechanisms of tumor cell invasion, the involved guidance structures, and the response of invasion zones to anti-cancer therapy. To reach deeper tumor regions by optical imaging with subcellular resolution, near-infrared and infrared excited multiphoton microscopy was combined with a modified dorsal skinfold chamber model. Implanted HT-1080 fibrosarcoma and B16/F10 and MV3 melanoma tumors developed zones of invasive growth consisting of collective invasion strands that retained cell-cell contacts and high mitotic activity while invading at velocities of up to 200 μm per day. Collective invasion occurred predominantly along preexisting tissue structures, including blood and lymph vessels, collagen fibers and muscle strands of the deep dermis, and was thereby insensitive to RNAi based knockdown and/or antibody-based treatment against β1 and β3 integrins, chemokine (SDF-1/CXCL12) and growth factor (EGF) signaling. Therapeutic hypofractionated irradiation induced partial to complete regression of the tumor main mass, yet failed to eradicate the collective invasion strands, suggesting a microenvironmentally privileged niche. Whereas no radiosensitization was achieved by interference with EGFR or doxorubicin, the simultaneous inhibition of β1 and β3 integrins impaired cell proliferation and survival in spontaneously growing tumors and strongly enhanced the radiation response up to complete eradication of both main tumor and invasion strands. In conclusion, collective invasion in vivo is a robust process which follows preexisting tissue structures and is mainly independent of established adhesion and chemoattractant signaling. Due to its altered biological response to irradiation, collective invasion strands represent a microenvironmentally controlled and clinically relevant resistance niche to therapy. Therefore supportive regimens, such as anoikisinduction by anti-integrin therapy, may serve to enhance radio- and chemoefficacy and complement classical treatment regimens.
This dissertation deals with composite-based methods for structural equation models with latent variables and their enhancement. It comprises five chapters. Besides a brief introduction in the first chapter, the remaining chapters consisting of four essays cover the results of my PhD studies.Two of the essays have already been published in an international journal.
The first essay considers an alternative way of construct modeling in structural equation modeling.While in social and behavioral sciences theoretical constructs are typically modeled as common factors, in other sciences the common factor model is an inadequate way construct modeling due to its assumptions. This essay introduces the confirmatory composite analysis (CCA) analogous to confirmatory factor analysis (CFA). In contrast to CFA, CCA models theoretical constructs as composites instead of common factors. Besides the theoretical presentation of CCA and its assumptions, a Monte Carlo simulation is conducted which demonstrates that misspecifications of the composite model can be detected by the introduced test for overall model fit.
The second essay rises the question of how parameter differences can be assessed in the framework of partial least squares path modeling. Since the standard errors of the estimated parameters have no analytical closed-form, the t- and F-test known from regression analysis cannot be directly used to test for parameter differences. However, bootstrapping provides a solution to this problem. It can be employed to construct confidence intervals for the estimated parameter differences, which can be used for making inferences about the parameter difference in the population. To guide practitioners, guidelines were developed and demonstrated by means of empirical examples.
The third essay answers the question of how ordinal categorical indicators can be dealt with in partial least squares path modeling. A new consistent estimator is developed which combines the polychoric correlation and partial least squares path modeling to appropriately deal with the qualitative character of ordinal categorical indicators. The new estimator named ordinal consistent partial least squares combines consistent partial least squares with ordinal partial least squares. Besides its derivation, a Monte Carlo simulation is conducted which shows that the new estimator performs well in finite samples. Moreover, for illustration, an empirical example is estimated by ordinal consistent partial least squares.
The last essay introduces a new consistent estimator for polynomial factor models.
Similarly to consistent partial least squares, weights are determined to build stand-ins for the latent variables, however a non-iterative approach is used.
A Monte Carlo simulation shows that the new estimator behaves well in finite samples.
Metal nanostructures have been known for a long time to exhibit optical resonances via localized surface plasmons. The high electric fields in close proximity to the metal surface have prospects to dramatically change the dynamics of electronic transitions, such as an enhanced spontaneous decay rate of a single emitter. However, there have been two major issues which impede advances in the experimental realization of enhanced light-matter interaction. (i) The fabrication of high-quality resonant structures requires state-of-the-art patterning techniques in combination with superior materials. (ii) The tiny extension of the optical near-field requires precise control of the single emitter with respect to the nanostructure. This work demonstrates a solution to these problems by combining scanning probe and optical confocal microscopy. Here, a novel type of scanning probe is introduced which features a tip composed of the edge of a single crystalline gold sheet. The patterning via focused ion beam milling makes it possible to introduce a plasmonic nanoresonator directly at the apex of the tip. Numerical simulations demonstrate that the optical properties of this kind of scanning probe are ideal to analyze light-matter interaction. Detailed experimental studies investigate the coupling mechanism between a localized plasmon and single colloidal quantum dots by dynamically changing coupling strength via their spatial separation. The results have shown that weak interaction affects the shape of the fluorescence spectrum as well as the polarization. For the best probes it has been found that it is possible to reach the strong coupling regime at the single emitter level at room temperature. The resulting analysis of the experimental data and the proposed theoretical models has revealed the differences between the established far-field coupling and near-field coupling. It has been found that the broad bandwidth of plasmonic resonances are able to establish coherent coupling to multiple transitions simultaneously giving rise to an enhanced effective coupling strength. It has also been found that the current model to numerically calculate the effective mode volume is inaccurate in case of mesoscopic emitters and strong coupling. Finally, light-matter interaction is investigated by the means of a quantum-dot-decorated microtubule which is traversing a localized nearfield by gliding on kinesin proteins. This biological transport mechanism allows the parallel probing of a meta-surface with nm-precision. The results that have been put forward throughout this work have shed new light on the understanding of plasmonic light-matter interaction and might trigger ideas on how to more efficiently combine the power of localized electric fields and novel excitonic materials.
The Myb-MuvB (MMB) multiprotein complex is a master regulator of cell cycle-dependent gene expression. Target genes of MMB are expressed at elevated levels in several different cancer types and are included in the chromosomal instability (CIN) signature of lung, brain, and breast tumors.
This doctoral thesis showed that the complete loss of the MMB core subunit LIN9 leads to strong proliferation defects and nuclear abnormalities in primary lung adenocarcinoma cells. Transcriptome profiling and genome-wide DNA-binding analyses of MMB in lung adenocarcinoma cells revealed that MMB drives the expression of genes linked to cell cycle progression, mitosis, and chromosome segregation by direct binding to promoters of these genes. Unexpectedly, a previously unknown overlap between MMB-dependent genes and several signatures of YAP-regulated genes was identified. YAP is a transcriptional co-activator acting downstream of the Hippo signaling pathway, which is deregulated in many tumor types. Here, MMB and YAP were found to physically interact and co-regulate a set of mitotic and cytokinetic target genes, which are important in cancer. Furthermore, the activation of mitotic genes and the induction of entry into mitosis by YAP were strongly dependent on MMB. By ChIP-seq and 4C-seq, the genome-wide binding of MMB upon YAP overexpression was analyzed and long-range chromatin interaction sites of selected MMB target gene promoters were identified. Strikingly, YAP strongly promoted chromatin-association of B-MYB through binding to distal enhancer elements that interact with MMB-regulated promoters through chromatin looping.
Together, the findings of this thesis provide a so far unknown molecular mechanism by which YAP and MMB cooperate to regulate mitotic gene expression and suggest a link between two cancer-relevant signaling pathways.
The phytohormone auxin performs important functions in the initiation of plant tissues and organs, as well as in the control of root growth in conjunction with external stimuli such as gravity, water and nutrient availability. These functions are based primarily on the auxin-dependent regulation of cell division and elongation. Important for the latter is the control of the cell turgor by the vacuole. As storage for nutrients, metabolites and toxins, vacuoles are of vital importance. Vacuolar stored metabolites and ions are exchanged across the vacuolar membrane with the cytoplasm via active transport processes as well as passively through ion channels. In their function as second messenger, calcium ions are important regulators but also subject to vacuolar transport processes. Changes in the cytosolic calcium concentration not only act locally, but are also associated with signal transduction over longer distances. In this work, electrophysiological methods were combined with imaging techniques to gain insights into the interaction between cytosolic calcium signals, vacuolar transport processes and auxin physiology in the intact plant organism.
Calcium signals are involved in the regulation of vacuolar ion channels and transporters. In order to investigate this in the intact organism, intracellular microelectrode measurements were performed in the model system of bulging Arabidopsis thaliana root hairs. By means of the two-electrode voltage-clamp technique, it could be confirmed that the vacuolar membrane is the limiting electrical resistance during intravacuolar measurements and thus measured ion currents actually represent only the currents across the vacuolar membrane. The already known time-dependent decrease of vacuolar conductivity during intravacuolar experiments could be further correlated with an impalement-related, transient increase of the cytosolic calcium concentration. Intravacuolar voltage-clamp experiments in root hair cells of calcium reporter plants confirmed this relationship between vacuolar conductivity and the cytosolic calcium concentration.
However, the vacuole is not just a recipient of cytosolic calcium signals. Since the vacuole represents the largest intracellular calcium reservoir, it has long been argued that it is also involved in the generation of such signals. This could be confirmed in intact root hair cells. Changes in the vacuolar membrane potential affected the cytosolic calcium concentration in these cells. While depolarizing potentials led to an increase of the cytosolic calcium concentration, hyperpolarization of the vacuolar membrane caused the opposite. Thermodynamic considerations of passive and active calcium transport across the vacuolar membrane suggested that the results described herein reflect the behaviour of vacuolar H+/Ca2+ exchangers whose activity is determined by the proton motive force.
In addition, cytosolic calcium has been shown to be a key regulator of a rapid auxin-induced signaling pathway that regulates polar transport of the hormone.
In the same model system of bulging root hairs it could be shown that the external application of auxin results in a very fast, auxin concentration- and pH-dependent depolarization of the plasma membrane potential. Synchronous with the depolarization of the plasma membrane potential, transient calcium signals were recorded in the cytosol. These were caused by an auxin-activated influx of calcium ions through the ion channel CNGC14. Experiments on loss-of-function mutants as well as pharmacological experiments showed that the auxin-induced activation of the calcium channel requires auxin-perception by the F-box proteins of the TIR1/AFB family.
Investigations of auxin-dependent depolarization as well as the auxin-induced influx of protons into epidermal root cells of loss-of-function mutants showed that the secondary active uptake of auxin by the high-affinity transport protein AUX1 is responsible for the rapid depolarization
Not only the cytosolic calcium signals correlated with CNGC14 function, but also the AUX1-mediated depolarization of root hairs. An unchanged expression of AUX1 in the cngc14 loss-of-function mutant suggested that the activity of AUX1 must be post-translationally regulated. This hypothesis was supported by experiments in which treatment with the calcium channel blocker lanthanum led to inactivation of AUX1 in the wild type.
The cytosolic loading of individual epidermal root cells with auxin resulted in the spread of lateral and acropetal calcium waves. These correlated with a shift of the auxin gradient at the root apex and thus supported a hypothetical calcium-dependent regulation of polar auxin transport. A model for a rapid, auxin-induced and calcium-dependent signaling pathway is presented and its importance for gravitropic root growth is discussed. Since AUX1-mediated depolarization varied with external phosphate concentration, the importance of this rapid signaling pathway is also discussed for the adaptation of root hair growth to an inadequate availability of phosphate.
Development and application of computational tools for RNA-Seq based transcriptome annotations
(2019)
In order to understand the regulation of gene expression in organisms, precise genome annotation is essential. In recent years, RNA-Seq has become a potent method for generating and improving genome annotations. However, this Approach is time consuming and often inconsistently performed when done manually. In particular, the discovery of non-coding RNAs benefits strongly from the application of RNA-Seq data but requires significant amounts of expert knowledge and is labor-intensive. As a part of my doctoral study, I developed a modular tool called ANNOgesic that can detect numerous transcribed genomic features, including non-coding RNAs, based on RNA-Seq data in a precise and automatic fashion with a focus on bacterial and achaeal species. The software performs numerous analyses and generates several visualizations. It can generate annotations of high-Resolution that are hard to produce using traditional annotation tools that are based only on genome sequences. ANNOgesic can detect numerous novel genomic Features like UTR-derived small non-coding RNAs for which no other tool has been developed before. ANNOgesic is available under an open source license (ISCL) at https://github.com/Sung-Huan/ANNOgesic.
My doctoral work not only includes the development of ANNOgesic but also its application to annotate the transcriptome of Staphylococcus aureus HG003 - a strain which has been a insightful model in infection biology. Despite its potential as a model, a complete genome sequence and annotations have been lacking for HG003. In order to fill this gap, the annotations of this strain, including sRNAs and their functions, were generated using ANNOgesic by analyzing differential RNA-Seq data from 14 different samples (two media conditions with seven time points), as well as RNA-Seq data generated after transcript fragmentation. ANNOgesic was
also applied to annotate several bacterial and archaeal genomes, and as part of this its high performance was demonstrated. In summary, ANNOgesic is a powerful computational tool for RNA-Seq based annotations and has been successfully applied to several species.
Development and proof of concept of a biological vascularized cell‐based drug delivery system
(2019)
A major therapeutic challenge is the increasing incidence of chronic disorders.
The persistent impairment or loss of tissue function requires constitutive on‐demand
drug availability optimally achieved by a drug delivery system ideally directly connected
to the blood circulation of the patient. However, despite the efforts and achievements in
cell‐based therapies and the generation of complex and customized cell‐specific
microenvironments, the generation of functional tissue is still unaccomplished.
This study demonstrates the capability to generate a vascularized platform technology to
potentially overcome the supply restraints for graft development and clinical application
with immediate anastomosis to the blood circulation.
The ability to decellularize segments of the rat intestine while preserving the ECM for
subsequent reendothelialization was proven. The reestablishment of a functional
arteriovenous perfusion circuit enabled the supply of co‐cultured cells capable to replace
the function of damaged tissue or to serve as a drug delivery system. During in vitro
studies, the applicability of the developed miniaturized biological vascularized scaffold
(mBioVaSc‐TERM®) was demonstrated. While indicating promising results in short term
in vivo studies, long term implantations revealed current limitations for the translation
into clinical application. The gained insights will impact further improvements of quality
and performance of this promising platform technology for future regenerative therapies.
The skeletal system forms the mechanical structure of the body and consists of bone, which is hard connective tissue. The tasks the skeleton and bones take over are of mechanical, metabolic and synthetic nature. Lastly, bones enable the production of blood cells by housing the bone marrow. Bone has a scarless self-healing capacity to a certain degree. Injuries exceeding this capacity caused by trauma, surgical removal of infected or tumoral bone or as a result from treatment-related osteonecrosis, will not heal. Critical size bone defects that will not heal by themselves are still object of comprehensive clinical investigation. The conventional treatments often result in therapies including burdening methods as for example the harvesting of autologous bone material. The aim of this thesis was the creation of a prevascularized bone implant employing minimally invasive methods in order to minimize inconvenience for patients and surgical site morbidity. The basis for the implant was a decellularized, naturally derived vascular scaffold (BioVaSc-TERM®) providing functional vessel structures after reseeding with autologous endothelial cells. The bone compartment was built by the combination of the aforementioned scaffold with synthetic β-tricalcium phosphate. In vitro culture for tissue maturation was performed using bioreactor technology before the testing of the regenerative potential of the implant in large animal experiments in sheep. A tibia defect was treated without the anastomosis of the implant’s innate vasculature to the host’s circulatory system and in a second study, with anastomosis of the vessel system in a mandibular defect. While the non-anastomosed implant revealed a mostly osteoconductive effect, the implants that were anastomosed achieved formation of bony islands evenly distributed over the defect.
In order to prepare preconditions for a rapid approval of an implant making use of this vascularization strategy, the manufacturing of the BioVaSc-TERM® as vascularizing scaffold was adjusted to GMP requirements.
Synthetic bone replacement materials have their application in non-load bearing defects with the function of (re-)construction or substitution of bone. This tissue itself represents a biological composite material based on mineralized collagen fibrils and combines the mechanical strength of the mineral with the ductility of the organic matrix. By mimicking these outstanding properties with polymer-cement-composites, an imitation of bone is feasible. A promising approach for such replacement materials are dual setting systems, which are generated by dissolution-precipitation reaction with cement setting in parallel to polymerization and gelation of the organic phase forming a coherent hydrogel network. Hereby, the high brittleness of the pure inorganic network was shifted to a more ductile and elastic behavior.
The aim of this thesis was focused on the development of different dual setting systems to modify pure calcium phosphate cements’ (CPCs’) mechanical performance by incorporation of a hydrogel matrix.
A dual setting system based on hydroxyapatite (HA) and cross-linked 2-hydroxyethyl methacrylate (HEMA) via radical polymerization was advanced by homogenous incorporation of a degradable cross-linker composed of poly(ethylene glycol) (PEG) as well as poly(lactic acid) (PLA) with reactive terminal methacrylate functionalities (PEG-PLLA-DMA). By integration of this high molecular weight structure in the HEMA-hydrogel network, a significant increase in energy absorption (toughness) under 4-point bending testing was observed. An addition of only 10 wt% hydrogel precursor (referred to the liquid phase) resulted in a duplication of stress over a period of 8 days. Additionally, the calculated elasticity was positively affected and up to six times higher compared to pure HA. With a constantly applied force during compressive strength testing, a deformation and thus strain levels of about 10 % were reached immediately after preparation.
For higher degradability, the system was modified in a second approach regarding organic as well as inorganic phase. The latter component was changed by brushite forming cement that is resorbable in vivo due to solubility processes. This CPC was combined with a hydrogel based on PEG-PLLA-DMA and other dimethacrylated PEGs with different molecular weights and concentrations. Hereby, new reaction conditions were created including a shift to acidic conditions. On this ground, the challenge was to find a new radical initiator system. Suitable candidates were ascorbic acid and hydrogen peroxide. that started the polymerization and successful gelation in this environment. These highly flexible dual set composites showed a very high ductility with an overall low strength compared to HA-based models. After removal of the applied force during compressive strength testing, a complete shape recovery was observed for the samples containing the highest polymeric amount (50 wt%) of PEG-PLLA-DMA.
Regarding phase distribution in the constructs, a homogenously incorporated hydrogel network was demonstrated in a decalcifying study with ethylenediaminetetraacetic acid. Intact, coherent hydrogels remained after dissolution of the inorganic phase via calcium ion complexation.
In a third approach, the synthetic hydrogel matrix of the previously described system was replaced by the natural biopolymer gelatin. Simultaneously to brushite formation, physical as well as chemical cross-linking by the compound genipin was performed in the dual setting materials. Thanks to the incorporation of gelatin, elasticity increased significantly, in which concentrations up to 10.0 w/v% resulted in a certain cohesion of samples after compressive strength testing. They did not dissociate in little pieces but remained intact cuboid specimens though having cracks or fissures. Furthermore, the drug release of two active pharmaceutical ingredients (vancomycin and rifampicin) was investigated over a time frame of 5 weeks. The release exponent was determined according to Korsmeyer-Peppas with n = 0.5 which corresponds to the drug liberation model of Higuchi. A sustained release was observed for the antibiotic vancomycin encapsulated in composites with a gelatin concentration of 10.0 w/v% and a powder-to-liquid ratio of 2.5 g/mL.
With respect to these developments of different dual setting systems, three novel approaches were successfully established by polymerization of monomers and cross-linking of precursors forming an incorporated, homogenous hydrogel matrix in a calcium phosphate network. All studies showed an essential transfer of mechanical performance in direction of flexibility and bendability.
Development of Novel Quinolone Amides Against the African Sleeping Sickness - A Fluorine Walk
(2019)
In recent years the transmission of the Human African Trypanosomiasis could be significantly reduced. The reported cases in 2016 reached a historic low level of 2184 cases and these achievements can be ascribed to intense control and surveillance programmes.118 However, most of the reported cases (>1000 in 2015) occurred in the Democratic Republic of the Congo and thus, need to be treated adequately. In particular, when the parasites have traversed the blood-brain barrier (BBB), treatment proved to be even more difficult. In addition, the number of cases always came in waves due to many reasons, e.g., development of resistances. Thus, it can be expected from experiences of the past that the number of cases will increase again. Hence, novel chemical entities are desperately needed in order to overcome the drawbacks which are associated with the current treatment options.
Our drug discovery approach included an initial drug repurposing strategy combined with a phenotypic screening. S. Niedermeier found novel active compounds derived from commercial fluoroquinolones. The most promising hit compound was further developed by G. Hiltensperger resulting in the lead quinolone amide GHQ168 (IC50 = 0.047 µM).
This doctoral thesis is about new insights into the SAR of the quinolone amides and the enhancement of the lead compound. Special consideration was given to the fluorine atom in the quinolone amides and how certain fluorine substitution patterns influence the antitrypanosomal activity, physicochemical properties and pharmacokinetics (i.e. ‘fluorine walk’). Moreover, the ability of the compound class crossing the BBB should be investigated. This feature is inevitable necessary in order to potentially treat African sleeping sickness stage II.
The Gould-Jacobs protocol was predominantly used for the synthesis of the quinolone core. Since former SAR studies mainly concentrated on the variation in positions 1, 3 and 7, quinolone scaffolds (2a-i) with diverse substitution patterns regarding positions 5, 6, 7 and 8 were synthesised in this thesis. The resulting quinolone amides were evaluated for their antitrypanosomal activity.
Voluminous residues in position C-5 resulted in diminished activities (compounds 13, 16 and 18) and solely small-sized moieties were tolerated. In particular the fluorine atom in position 5 revealed beneficial trypanocidal effects as shown for compounds 6 (IC50 = 0.05 µM), 8 (IC50 = 0.04 µM), and 24 (IC50 = 0.02 µM). Furthermore, having fluorine only in position 5 of the quinolone core could considerably reduce the cytotoxic effects (CC50 >100 µM, SI = >2000 for 6). Hence, the 5-fluoro-substituted quinolone amides were considered superior to GHQ168.
Regarding the C-6 position all other moieties (e.g., H in 9, OCH3 in 10, CF3 in 12) except of a fluorine atom decreased the activity against Trypanosoma brucei brucei. A double fluorination in C-6 and C-8 was not beneficial (IC50 = 0.06 µM for 7) and a single fluorine atom in C-8 even showed a negative effect (IC50 = 0.79 µM for 5).
The logP value is considered a surrogate parameter for lipophlicity and thus, affecting permeability and solubility processes. In particular the fluorine atom influences the lipophilicity due to versatile effects: Lipophilicity is increased by additional fluorine atoms on aromatic rings (7, 23) and reduced by fluorine atoms at an alkyl chain (49), respectively. Additionally, the 5-fluoro-substituted quinolone amides (6, 8, and 24) could prove the contrary effect of decreasing lipophilicity when the aromatic fluorine substituent is in vicinity to a carbonyl group.
For the most promising drug candidates 6, 23, and 24 the respective metabolites and the metabolic turnover were investigated by C. Erk. In comparison to GHQ168 the hydroxylation of the benzylamide was prevented by the para-fluorine atom. Hence, half-life was extended for compound 23 (t1/2 = 6.4 h) and N-desalkylation was the predominant pathway. Moreover, the respective fluorine substitution pattern of the quinolone core affected the metabolism of compound 6. The 5-fluoro-substituted quinolone amide was less prone for biotransformation (t1/2 = 7.2 h) and half-life could even be further prolonged for compound 24 (t1/2 = 7.7 h).
Due to the most appropriate safety profile of compound 6, this particular drug candidate was considered for in vivo study. Its poor solubility made a direct intraperitoneal administration unfeasible. Thus, an amorphous solid dispersion of 6 was generated using the spray-drying method according to the previous protocol. Unfortunately, the required solubility for the predicted in vivo study was not achieved.
Furthermore, the compound class of the quinolone amide was evaluated for its ability for brain penetration. The methanesulfonyl precursor 48 was synthesised and subsequently radiofluorinated in the group of Prof. Dr. Samnick (Department of Nuclear Medicine, University Hospital of Würzburg). The labelled compound [18F]49 was administered to mice, and its distribution throughout the body was analysed using positron emission tomography and autoradiography, respectively. The autoradiography of the murine brains revealed medium to high concentrations of [18F]49. Therefore, the quinolone amides are generally suitable for treating Human African Trypanosomiasis stage II.
A scaffold hopping approach was performed starting from the quinolone amides and concluding with the compound class of pyrazoloquinolin-3-ones. The intramolecular hydrogen bond between the sec. amide and the C-4 carbonyl moiety was replaced by a covalent bond. The two compound classes were comparable regarding the antitrypanosomal activity to some degree (IC50 = 7.9 µM (EK02) vs. 6.37 µM (53a)). However, a final evaluation of 59 was not possible due to poor solubility.
The current treatment strategies for diseases are assessed on the basis of diagnosed phenotypic changes due to an accumulation of asymptomatic events in physiological processes. Since a diagnosis can only be established at advanced stages of the disease, mainly due to insufficient early detection possibilities of physiological disorders, doctors are forced to treat diseases rather than prevent them. Therefore, it is desirable to link future therapeutic interventions to the early detection of physiological changes. So-called sensor-effector systems are designed to recognise disease-specific biomarkers and coordinate the production and delivery of therapeutic factors in an autonomous and automated manner. Such approaches and their development are being researched and promoted by the discipline of synthetic biology, among others.
Against this background, this paper focuses on the in vitro design of cytokine-neutralizing sensor-effector cells designed for the potential treatment of recurrent autoimmune diseases, especially rheumatoid arthritis.
The precise control of inducible gene expression was successfully generated in human cells. At first, a NF-κB-dependent promoter was developed, based on HIV-1 derived DNA-binding motives. The activation of this triggerable promoter was investigated using several inducers including the physiologically important NF-κB inducers tumor necrosis factor alpha (TNFα) and interleukin 1 beta (IL-1β). The activation strength of the NF-κB-triggered promoter was doubled by integrating a non-coding RNA. The latter combined expressed RNA structures, which mimic DNA by double stranded RNAs and have been demonstrated to bind to p50 or p65 by previous publications. The sensitivity was investigated for TNFα and IL-1β. The detection limit and the EC50 values were in in the lower picomolar range. Besides the sensitivity, the reversibility and dynamic of the inducible system were characterized. Hereby a close correlation between pulse times and expression profile was shown.
The optimized NF-κB-dependent promoter was then coupled to established TNFα- and IL-1-blocking biologicals to develop sensor-effector systems with anti-inflammatory activity, and thus potential use against autoimmune diseases such as rheumatoid arthritis. The biologicals were differentiated between ligand-blocking and receptor-blocking biologicals and different variants were selected: Adalimumab, etanercept and anakinra. The non-coding RNA improved again the activation strength of NF-κB-dependent expressed biologicals, indicating its universal benefit. Furthermore, it was shown that the TNFα-induced expression of NF-κB-regulated TNFα-blocking biologics led to an extracellular negative feedback loop. Interestingly, the integration of the non-coding RNA and this negative feedback loop has increased the dynamics and reversibility of the NF-κB-regulated gene expression. The controllability of drug release can also be extended by the use of inhibitors of classical NF-κB signalling such as TPCA-1. The efficacy of the expressed biologicals was detected through neutralization of the cytokines using different experiments. For future in vivo trials, first alginate encapsulations of the cells were performed. Furthermore, the activation of NF-κB-dependent promoter was demonstrated using co-cultures with human plasma samples or using synovial liquids.
With this generated sensor-effector system we have developed self-adjusting cytokine neutralizer cells as a closed-loop delivery system for anit-inflammatory biologics.
Assay and impurity profiling of the pharmaceuticals are the key routine quality control methods employed worldwide for which High Performance Liquid Chromatography (HPLC) is the most widely used technique. The ability to carry out these routine laboratory procedures in low- and middle- income countries (LMICs) need the methods to be based upon simple instruments manageable with moderate levels of personnel skill and costs involved.
Simple, convenient, and cost effective reverse phase HPLC methods were developed using phosphate buffer and methanol as mobile phase with C18 column as stationary phase for the impurity profiling and assay of beta lactam antibiotics. Isocratic elution and UV detection was employed in these methods. Impurity profiling method was developed for coamoxiclav tablets and ceftriaxone bulk drug. The method for ceftriaxone included a supplementary method to quantify one of its known impurity (Impurity D of ceftriaxone). This method involved use of acetonitrile where as the two main methods were achieved on the targeted method design, described above. With the exception of impurity A of ceftriaxone, the methods developed can successfully quantify impurities to the concentration as low as ≤0.05%, which is in accordance with the current guidelines for the impurity profiling of antibiotics issued by European Medicines Agency.
As ensuring cost reduction was one of the key objectives of carrying out the method development exercise, in situ methods for the preparation of impurities were also identified and some new methods were introduced. The stability of beta lactam antibiotics and the choice of solvent were given due attention during the process of method development revealing information on the presence of new impurities. Deacetyl cefotaxime and 2-mercaptobenzathiazole were identified in this process as new impurities of ceftriaxone currently not listed under known impurities by United States Pharmacopoeia and European Pharmacopoeia. However, deacetyl cefotaxime is a known impurity of cefotaxime whereas the latter molecule is a degradation product of one of the synthesis impurities of ceftriaxone. This substance is reported to be carcinogenic and is resolved using the supplementary method developed for ceftriaxone, hence making its detection and quantification possible. A known inactive impurity of ceftriaxone (Impurity A, E-isomer of ceftriaxone) was` also shown to be produced by exposure to day light, thus warranting the light protection of the ceftriaxone solution, an information that is of critical importance in the clinical settings.
A series of experimentation was carried out on the finished products of beta lactam antibiotics sampled from Pakistan and few other countries, to identify key quality issues in the samples. Though the limited sample size and convenient sampling did not provide results that could yield a decisive figure for the country status for prevalence of substandard and falsified medical products, but the experiments have clearly indicated that the problems in drug quality do exist and beta lactam antibiotics form a class of high-risk medicine with respect to surveillance for poor-quality medicines. Isolation of unknown impurities was also carried out along with the introduction of new and modified methods for preparation of impurities of beta-lactam antibiotics.
In addition, detailed literature survey was carried out for understanding the complex problem of the poor-quality medicine, impact of poor quality antimicrobials on health care system and the magnitude of the problem at the global level. The country status of Pakistan regarding quality of medicines was recorded based upon the available documentary evidence. The current technologies and strategic options available for low- and middle-income countries in aiding fight for combating poor quality medicines was also laid down to design recommendations for Pakistan. A comprehensive review of the information technology tools used for identification and control of substandard and falsified medicines was also conducted.
In situations of real threat, showing a fear reaction makes sense, thus, increasing the chance to survive. The question is, how could anybody differentiate between a real and an apparent threat? Here, the slogan counts “better safe than sorry”, meaning that it is better to shy away once too often from nothing than once too little from a real threat. Furthermore, in a complex environment it is adaptive to generalize from one threatening situation or stimulus to another similar situation/stimulus. But, the danger hereby is to generalize in a maladaptive manner involving as it is to strong and/or fear too often “harmless” (safety) situations/stimuli, as it is known to be a criterion of anxiety disorders (AD). Fear conditioning and fear generalization paradigms are well suited to investigate fear learning processes. It is remarkable that despite increasing interest in this topic there is only little research on fear generalization. Especially, most research on human fear conditioning and its generalization has focused on adults, whereas only little is known about these processes in children, even though AD is typically developing during childhood. To address this knowledge gap, four experiments were conducted, in which a discriminative fear conditioning and generalization paradigm was used.
In the first two experiments, developmental aspects of fear learning and generalization were of special interest. Therefore, in the first experiment 267 children and 285 adults were compared in the differential fear conditioning paradigm and generalization test. Skin conductance responses (SCRs) and ratings of valence and arousal were obtained to indicate fear learning. Both groups displayed robust and similar differential conditioning on subjective and physiological levels. However, children showed heightened fear generalization compared to adults as indexed by higher arousal ratings and SCRs to the generalization stimuli. Results indicate overgeneralization of conditioned fear as a developmental correlate of fear learning. The developmental change from a shallow to a steeper generalization gradient is likely related to the maturation of brain structures that modulate efficient discrimination between threatening and (ambiguous) safety cues. The question hereby is, at which developmental stage fear generalization gradients of children adapt to the gradients of adults. Following up on this question, in a second experiment, developmental changes in fear conditioning and fear generalization between children and adolescents were investigated. According to experiment 1 and previous studies in children, which showed changes in fear learning with increasing age, it was assumed that older children were better at discriminating threat and safety stimuli. Therefore, 396 healthy participants (aged 8 to 12 years) were examined with the fear conditioning and generalization paradigm. Again, ratings of valence, arousal, and SCRs were obtained. SCRs indicated differences in fear generalization with best fear discrimination in 12-year-old children suggesting that the age of 12 years seems to play an important role, since generalization gradients were similar to that of adults. These age differences were seen in boys and girls, but best discrimination was found in 12-year-old boys, indicating different development of generalization gradients according to sex. This result fits nicely with the fact that the prevalence of AD is higher in women than in men.
In a third study, it was supposed that the developmental trajectory from increased trait anxiety in childhood to manifest AD could be mediated by abnormal fear conditioning and generalization processes. To this end, 394 children aged 8 to 12 years with different scores in trait anxiety were compared with each other. Results provided evidence that children with high trait anxiety showed stronger responses to threat cues and impaired safety signal learning contingent on awareness as indicated by arousal at acquisition. Furthermore, analyses revealed that children with high trait anxiety showed overall higher arousal ratings at generalization. Contrary to what was expected, high trait anxious children did not show significantly more fear generalization than children with low trait anxiety. However, high-trait-anxious (HA) participants showed a trend for a more linear gradient, whereas moderate-trait-anxious (MA) and low-trait-anxious (LA) participants showed more quadratic gradients according to arousal. Additionally, after controlling for age, sex and negative life experience, SCR to the safety stimulus predicted the trait anxiety level of children suggesting that impaired safety signal learning may be a risk factor for the development of AD.
Results provide hints that frontal maturation could develop differently according to trait anxiety resulting in different stimuli discrimination. Thus, in a fourth experiment, 40 typically developing volunteers aged 10 to 18 years were screened for trait anxiety and investigated with the differential fear conditioning and generalization paradigm in the scanner. Functional magnetic resonance imaging (fMRI) were used to identify the neural mechanisms of fear learning and fear generalization investigating differences in this neural mechanism according to trait anxiety, developmental aspects and sex. At acquisition, HA participants showed reduced activation in frontal brain regions, but at generalization, HA participants showed an increase in these frontal regions with stronger linear increase in activation with similarity to CS+ in HA when compared to LA participants. This indicates that there is a hyper-regulation in adolescents to compensate the higher difficulties at generalization in form of a compensatory mechanism, which decompensates with adulthood and/or may be collapsed in manifest AD. Additionally, significant developmental effects were found: the older the subjects the stronger the hippocampus and frontal activation with resemblance to CS+, which could explain the overgeneralization of younger children. Furthermore, there were differences according to sex: males showed stronger activation with resemblance to CS+ in the hippocampus and frontal regions when compared to females fitting again nicely with the observation that prevalence rates for AD are higher for females than males.
In sum, the studies suggest that investigating developmental aspects of (maladaptive) overgeneralization may lead to better understanding of the mechanisms of manifest anxiety disorders, which could result in development and provision of prevention strategies. Although, there is need for further investigations, the present work gives some first hints for such approaches.
The expression of genetic information into proteins is a key aspect of life. The efficient and exact regulation of this process is essential for the cell to produce the correct amounts of these effector molecules to a given situation. For this purpose, eukaryotic cells have developed many different levels of transcriptional and posttranscriptional gene regulation. These mechanisms themselves heavily rely on interactions of proteins with associated nucleic acids. In the case of posttranscriptional gene regulation an orchestrated interplay between RNA-binding proteins, messenger RNAs (mRNA), and non-coding RNAs is compulsory to achieve this important function.
A pivotal factor hereby are RNA secondary structures. One of the most stable and diverse representatives is the G-quadruplex structure (G4) implicated in many cellular mechanisms, such as mRNA processing and translation. In protein biosynthesis, G4s often act as obstacles but can also assist in this process. However, their presence has to be tightly regulated, a task which is often fulfilled by helicases.
One of the best characterized G4-resolving factors is the DEAH-box protein DHX36. The in vitro function of this helicase is extensively described and individual reports aimed to address diverse cellular functions as well. Nevertheless, a comprehensive and systems-wide study on the function of this specific helicase was missing, so far.
The here-presented doctoral thesis provides a detailed view on the global cellular function of DHX36. The binding sites of this helicase were defined in a transcriptome-wide manner, a consensus binding motif was deviated, and RNA targets as well as the effect this helicase exerts on them were examined. In human embryonic kidney cells, DHX36 is a mainly cytoplasmic protein preferentially binding to G-rich and G4-forming sequence motifs on more than 4,500 mRNAs. Loss of DHX36 leads to increased target mRNA levels whereas ribosome occupancy on and protein output of these transcripts are reduced. Furthermore, DHX36 knockout leads to higher RNA G4 levels and concomitant stress reactions in the cell. I hypothesize that, upon loss of this helicase, translationally-incompetent structured DHX36 target mRNAs, prone to localize in stress granules, accumulate in the cell. The cell reacts with basal stress to avoid cytotoxic effects produced by these mis-regulated and structured transcripts.
Hematopoietic stem cell transplantation is a curative therapy for malignant diseases of the haematopoietic system. The patients first undergo chemotherapy or irradiation therapy which depletes the majority of tumour cells before they receive the transplant, consisting of haematopoietic stem cells and mature T cells from a healthy donor. The donor T cells kill malignant cells that have not been eliminated by the conditioning therapy (graft versus leukaemia effect, GvL), and, therefore, are crucially required to prevent relapse of the tumour. However, the donor T cells may also severely damage the patient’s organs causing acute graft versus host disease (aGvHD). In mice, aGvHD can be prevented by interfering with the co-stimulatory CD28 signal on donor T cells. However, experimental models using conventional CD28 knockout mice as T cell donors or αCD28 antibodies have some disadvantages, i.e. impaired T cell development in the thymus of CD28 knockout mice and systemic CD28 blockade with αCD28 antibodies. Thus, it remains unclear how CD28 co-stimulation on different donor T cell subsets contributes to the GvL effect and aGvHD, respectively.
We developed mouse models of aGvHD and the GvL effect that allowed to selectively delete CD28 on certain donor T cell populations or on all donor T cells. CD4+ conventional T cells (Tconv cells), regulatory T cells (Treg cells) or CD8+ T cells were isolated from either Tamoxifen-inducible CD28 knockout (iCD28KO) mice or their wild type (wt) littermates. Allogeneic recipient mice were then transplanted with T cell depleted bone marrow cells and different combinations of iCD28KO and wt T cell subsets. Tamoxifen treatment of the recipients caused irreversible CD28 deletion on the iCD28KO donor T cell population. In order to study the GvL response, BCL-1 tumour cells were injected into the mice shortly before transfer of the T cells.
CD4+ Tconv mediated aGvHD was efficiently inhibited when wt Treg cells were co-transplanted. In contrast, after selective CD28 deletion on donor Treg cells, the mice developed a late and lethal flare of aGvHD, i.e. late-onset aGvHD. This was associated with a decline in iCD28KO Treg cell numbers around day 20 after transplantation. CD28 ablation on either donor CD4+ Tconv cells or CD8+ T cells reduced but did not abrogate aGvHD. Moreover, iCD28KO and wt CD8+ T cells were equally capable of killing allogeneic target cells in vivo and in vitro. Due to this sufficient anti-tumour activity of iCD28KO CD8+ T cells, they had a therapeutic effect in our GvL model and 25% of the mice survived until the end of the experiment (day 120) without any sign of the malignant disease. Similarly, CD28 deletion on all donor T cells induced long-term survival. This was not the case when all donor T cells were isolated from wt donor mice. In contrast to the beneficial outcome after CD28 deletion on all donor T cells or only CD8+ T cells, selective CD28 deletion on donor CD4+ Tconv cells completely abrogated the GvL effect due to insufficient CD4+ T cell help from iCD28KO CD4+ Tconv cells.
This study demonstrates that therapeutic inhibition of the co-stimulatory CD28 signal in either all donor T cells or only in CD8+ T cells might protect patients from aGvHD without increasing the risk of relapse of the underlying disease. Moreover, deletion of CD28 on donor Treg cells constitutes a mouse model of late-onset aGvHD which can be a useful tool in aGvHD research.
Supramolecular self-assembly of perylene bisimide (PBI) dyes via non-covalent forces gives rise to a high number of different PBI architectures with unique optical and functional properties. As these properties can be drastically influenced by only slightly structural changes of the formed supramolecular ensembles (Chapter 2.1) the controlled self-assembly of PBI dyes became a central point of current research to design innovative materials with a high potential for different applications as for example in the fields of organic electronics or photovoltaics.
As PBI dyes show a strong tendency to form infinite aggregated structures (Chapter 2.2) the aim of this thesis was to precisely control their self-assembly to create small, structurally well-defined PBI assemblies in solution. Chapter 2.3 provides an overview on literature known strategies that were established to realize this aim. It could be demonstrated that especially backbone-directed intra- and intermolecular self-assembly of covalently linked Bis-PBI dyes evolved as one of the most used strategies to define the number of stacked PBI chromophores by using careful designed spacer units with regard to their length and flexibility.
By using conventional spectroscopic methods like UV/Vis and fluorescence experiments in combination with NMR measurements an in-depth comparison of the molecular and optical properties in solution both in the non-stacked and aggregated state of the target compounds could be elucidated to reveal structure-property relationships of different PBI architectures. Thus, it could be demonstrated, that spacer units that pre-organize two PBI chromophores with an inter-planar distance of r < 7 Å lead to an intramolecular folding, whereas linker moieties with a length between 7 to 11 Å result in an intermolecular self-assembly of the respective Bis-PBIs dyes via dimerization to form well-defined quadruple PBI pi-stacks. Hence, if the used spacer units ensure an inter-planar distance r > 14 Å larger oligomeric PBI pi-stacks are generated.
In Chapter 4 a detailed analysis of the exciton coupling in a highly defined H-aggregate quadruple PBI pi-stack is presented. Therefore, bay-tethered PBI dye Bis-PBI 1 was investigated by concentration-dependent UV/Vis spectroscopy in THF and toluene as well as by 2D-DOSY-NMR spectroscopy, ESI mass spectrometry and AFM measurements confirming that Bis-PBI 1 self-assembles exclusively into dimers with four closely pi-stacked PBI chromophores. Furthermore, with the aid of broadband fluorescence upconversion spectroscopy (FLUPS) ensuring broadband detection range and ultrafast time resolution at once, ultrafast Frenkel exciton relaxation and excimer formation dynamics in the PBI quadruple pi-stack within 1 ps was successfully investigated in cooperation with the group of Dongho Kim. Thus, it was possible to gain for the first time insights into the exciton dynamics within a highly defined synthetic dye aggregate beyond dimers. By analysing the vibronic line shape in the early-time transient fluorescence spectra in detail, it could be demonstrated that the Frenkel exciton is entirely delocalized along the quadruple stack after photoexcitation and immediately loses its coherence followed by the formation of the excimer state.
In Chapter 5 four well-defined Bis-PBI folda-dimers Bis-PBIs 2-4 were introduced, where linker units of different length (r < 7 Å) and steric demand were used to gain distinct PBI dye assemblies in the folded state. Structural elucidation based on in-depth UV/Vis, CD and fluorescence experiments in combination with 1D and 2D NMR studies reveals a stacking of the two PBI chromophores upon folding, where geometry-optimized structures obtained from DFT calculations suggest only slightly different arrangements of the PBI units enforced by the distinct spacer moieties. With the resulting optical signatures of Bis-PBIs 2-4 ranging from conventional Hj-type to monomer like absorption features, the first experimental proof of a PBI-based “null-aggregate” could be presented, in which long- and short-range exciton coupling fully compensate each other. Hence, the insights of this chapter pinpoint the importance of charge-transfer mediated short-range exciton coupling that can significantly influence the properties of pi-stacked PBI chromophores
In the last part of this thesis (Chapter 6), spacer-controlled self-assembly of four bay-linked Bis-PBI dyes Bis-PBIs 5-8 into well-defined supramolecular architectures was investigated, where the final aggregate structures are substantially defined by the nature of the used spacer units. By systematically extending the backbone length from 7 to 15 Å defining the inter-planar distance between the tethered chromophores, different assemblies from defined quadruple PBI pi-stacks to larger oligomeric pi-stacks could be gained upon aggregation.
In conclusion, the synthesis of nine covalently linked PBI dyes in combination with a detailed investigation of their spacer-mediated self-assembly behaviour in solution concerning structure-properties-relationships was presented within this thesis. The results confirm a strong exciton coupling in different types of Bis-PBI architectures e.g. folda-dimers or highly defined quadruple pi-stacks, which significantly influences their optical properties upon self-assembly.
The present thesis describes the development of a strategy to create discrete finite-sized supramolecular stacks of merocyanine dyes. Thus, bichromophoric stacks of two identical or different chromophores could be realized by folding of bis(merocyanine) dyes and their optical properties were discussed in terms of exciton theory. Quantum chemical calculations revealed strong exciton coupling between the chromophores within the homo- and hetero-π-stacks and the increase of the J-band of the hetero-dimers with increasing energy difference between the excited states of the chromophores could be attributed not only to the different magnitudes of transition dipole moments of the chromophores but also to the increased localization of the excitation in the respective exciton state. Furthermore, careful selection of the length of the spacer unit that defines the interplanar distance between the tethered chromophores directed the self-assembly of the respective bis(merocyanines) into dimers, trimers and tetramers comprising large, structurally precise π-stacks of four, six or eight merocyanine chromophores. It could be demonstrated that the structure of such large supramolecular architectures can be adequately elucidated by commonly accessible analysis tools, in particular NMR techniques in combination with UV/vis measurements and mass spectrometry. Supported by TDDFT calculations, the absorption spectra of the herein investigated aggregates could be explained and a relationship between the absorption properties and the number of stacking chromophores could be established based on exciton theory.
In 2006, 0.18 Mio pediatric nuclear medicine diagnostic exams were performed worldwide. However, for most of the radiopharmaceuticals used data on biokinetics and, as a consequence on dosimetry, are missing or have not been made publicly available. Therefore, most of the dosimetry assessments presented today for diagnostic agents in children and adolescents rely on the biokinetics data of adults. Even for one of the most common nuclear medicine exams for this patient group, renal scintigraphy with 99mTc-MAG3 for assessing renal function measured data on biokinetics is available only from a study performed on four children of different ages. In particular, renal scans are among the most frequent exams performed on infants and toddlers. Due to the young age, this patient group can be classified as a risk group with a higher probability of developing stochastic radiation effects compared to adults. As there are only limited data on biokinetics and dosimetry in this patient group, the aim of this study is to reassess the dosimetry and the associated radiation risk for a larger number of infants undergoing 99mTc-MAG3 renal scans based on a retrospective analysis of existing patient data.
Data were collected retrospectively from 34 patients younger than 20 months with normal (20 patients) and abnormal renal function (14 patients) undergoing 99mTc-MAG3 scans. The patient-specific organ activity was estimated based on a retrospective calibration which was performed based on a set of two 3D-printed infant kidneys (newborns: 8.6 ml; 1-year-old: 23.4 ml) filled with known activities. Both phantoms were scanned at different positions along the anteroposterior axis inside a water phantom, providing depth- and size-dependent attenuation correction factors for planar imaging. Time-activity curves were determined by drawing kidney, bladder, and whole body regions-of-interest for each patient, and subsequently applying the calibration factor for conversion of counts to activity. Patient-specific time-integrated activity coefficients were obtained by integrating the organ-specific time-activity curves. Absorbed and effective dose coefficients for each patient were assessed with OLINDA/EXM for the provided newborn and 1-year-old phantom. Based on absorbed dose values, the radiation risk estimation was performed individually for each of the 34 patients with the National Cancer Institute’s Radiation Risk Assessment Tool.
The patients’ organ-specific mean absorbed dose coefficients for the patients with normal renal function were 0.04±0.03 mGy/MBq for the kidneys and 0.27±0.24 mGy/MBq for the bladder. This resulted in a mean effective dose coefficient of 0.02±0.02 mSv/MBq. Based on the dosimetry results, the evaluation of the excess lifetime risk (ELR) for the development of radiation-induced cancer showed that the group of newborns has an ELR of 16.8 per 100,000 persons, which is higher in comparison with the 1-year-old group with an ELR of 14.7 per 100,000 persons. With regard to the 14 patients with abnormal renal function, the mean values for the organ absorbed dose coefficients for the patients were: 0.40±0.34 mGy/MBq for the kidneys and 0.46±0.37 mGy/MBq for the bladder. The corresponding effective dose coefficients (mSv/MBq) was: 0.05±0.02 mSv/MBq. The mean ELR (per 100,000 persons) for developing cancer from radiation exposure for patients with abnormal renal function was 29.2±18.7 per 100,000 persons.
As a result, the radiation-associated stochastic risk increases with the organ doses, taking age- and gender-specific influences into account. Overall, the lifetime radiation risk associated with the 99mTc-MAG3 scans is very low in comparison to the general population risk for developing cancer.
Furthermore, due to the increasing demand for PET-scans in children and adolescents with 68Ga-labelled peptides, in this work published data sets for those compounds were analyzed to derive recommendations for the administered activities in children and adolescents. The recommendation for the activities to be administered were based on the weight-independent effective dose model, proposed by the EANM Pediatric Dosage Card for application in pediatric nuclear medicine. The aim was to derive recommendations on administered activities for obtaining age-independent effective doses. Consequently, the corresponding weight-dependent effective dose coefficients were rescaled according to the formalism of the EANM dosage card, to determine the radiopharmaceutical class of 68Ga-labeled peptides (“multiples”), and to calculate the baseline activities based on the biokinetics of these compounds and an upper limit of the administered activity of 185 MBq for an adult. Analogous to 18F-fluoride, a minimum activity of 14 MBq is recommended. As a result, for those pediatric nuclear medicine applications involving 68Ga-labeled peptides, new values for the EANM dosage card were proposed and implemented based on the results derived in this work.
Overall, despite the low additional radiation-related cancer risk, all efforts should be undertaken to optimize administered activities in children and adolescents for obtaining sufficient diagnostic information with minimal associated radiation risk.
In an Arrow-Debreu world of unrestricted access to perfect and competitive financial markets, there is no need for accounting information about the financial situation of a firm. Because information is costless, share- and stakeholders are then indifferent in deposits and securities (e.g., Holthausen & Watts 2001; Freixas & Rochet 2008). How-ever, several reasons exist indicating a rejection of the assumptions for an Arrow-Debreu world, hence there is no perfect costless information. Moreover, the distribu-tion of information is asymmetric, causing follow-through multi-level agency prob-lems, which are the main reasoning for the variety of financial and non-financial ac-counting standards, regulatory and advisory entities and the auditing and rating agency profession. Likewise, these agency problems have been at the heart of the accounting literature and raised the question of whether and how accounting information can help resolve these problems. ...
Tumor necrosis factor (TNF)-like weak inducer of apoptosis (TWEAK) is a member of the TNF superfamily (TNFSF) and is as such initially expressed as type II class transmembrane glycoprotein from which a soluble ligand form can be released by proteolytic processing. While the expression of TWEAK has been detected at the mRNA level in various cell lines and cell types, its cell surface expression has so far only been documented for dendritic cells, monocytes and interferon-γ stimulated NK cells. The fibroblast growth factor-inducible-14 (Fn14) is a TRAF2-interacting receptor of the TNF receptor superfamily (TNFRSF) and is the only receptor for TWEAK. The expression of Fn14 is strongly induced in a variety of non-hematopoietic cell types after tissue injury. The TWEAK/Fn14 system induces pleiotropic cellular activities such as induction of proinflammatory genes, stimulation of cellular angiogenesis, proliferation, differentiation, migration and in rare cases induction of apoptosis. On the other side, Toll-like receptor3 (TLR3) is one of DNA- and RNA-sensing pattern recognition receptors (PRRs), plays a crucial role in the first line of defense against virus and invading foreign pathogens and cancer cells. Polyinosinic-polycytidylic acid poly(I:C) is a synthetic analog of dsRNA, binds to TLR3 which acts through the adapter TRIF/TICAM1, leading to cytokine secretion, NF-B activation, IRF3 nuclear translocation, inflammatory response and may also elicit the cell death. TWEAK sensitizes cells for TNFR1-induced apoptosis and necroptosis by limiting the availability of protective TRAF2-cIAP1 and TRAF2-cIAP2 complexes, which interact with the TNFR1-binding proteins TRADD and RIPK1. In accordance with the fact that poly(I:C)-induced signaling also involves these proteins, we found enhanced necroptosis-induction in HaCaT and HeLa-RIPK3 by poly(I:C) in the presence of TWEAK (Figure 24). Analysis of a panel of TRADD, FADD, RIPK1 and caspase-8 knockout cells revealed furthermore similarities and differences in the way how these molecules act in cell death signaling by poly(I:C)/TWEAK and TNF and TRAIL. RIPK1 turned out to be essential for poly(I:C)/TWEAK-induced caspase-8-mediated apoptosis but was dispensable for these responses in TNF and TRAIL signaling. Lack of FADD protein abrogated TRAIL- but not TNF- and poly(I:C)-induced necroptosis. Moreover, we observed that both long and short FLIP rescued HaCaT and HeLa-RIPK3 cells from poly(I:C)-induced apoptosis or necroptosis.
To sum up, our results demonstrate that TWEAK, which is produced by interferon stimulated myeloid cells, controls the induction of apoptosis and necroptosis by the TLR3 ligand poly(I:C) and may thus contribute to cancer or anti-viral immunity treatment.
With the late twentieth-century reform of the labour market in China, jobs ceased to be guaranteed by the government, and higher education became more and more a requirement for even low-level positions. A surplus of academics and a lack of skilled workers are consequences of these developments - yet vocational education, a clear solution to this problem, has had a persistently negative reputation as a second-class education, suitable only for weak students whose results are too low for an academic middle school.
Against this background, Entering Society analyses the social environments, personalities, values and perceptions of vocational education students over three years in Shanghai. The results show how adolescents stigmatized by society view themselves, their education, their identities and their futures.
Errors in Prospective Memory
(2019)
Prospective memory is the ability to implement intentions at a later point in time in response to a specified cue. Such prospective memory tasks often occur in daily living and workplace situations. However, in contrast to retrospective memory there has been relatively little research on prospective memory. The studies by Harris (1984) and Einstein and MacDaniel (1990) served as a starting point for a now steadily growing area of research. Based on this emerging field of study this dissertation presents and connects and five journal articles, which further explore prospective memory by focusing on its potential errors.
The first article addresses the question if additional cognitive resources are needed after a prospective memory cue occurs to keep the intention active until it is implemented. The theory by Einstein, McDaniel, Williford, Pagan and Dismukes (2003), which suggested this active maintenance, could not be replicated. The second article demonstrated that interruptions between cue and the window of opportunity to implement the intention reduce prospective memory performance, especially if the interruption is tied with a change of context. Article three to five were focused on the erroneous implementation of a no longer active prospective memory task, so called commission errors. The suggested mechanism for their occurrence, the dual-mechanism account (Bugg, Scullin, & Rauvola, 2016), was not suited to explain the present results. A modification for the dual-mechanism account was formulated, which can account for prior work, as well as for the present data.
The results of all five articles also indicate that the moment of cue retrieval is even more relevant for prospective memory and its errors than previously accounted for.
This dissertation consists of three contributions. Each addresses one specific aspect of intergenerational income mobility and is intended to be a stand-alone analysis. All chapters use comparable data for Germany and the United States to conduct country comparisons. As there are usually a large number of studies available for the United States, this approach is useful for comparing the empirical results to the existing literature.
The first part conducts a direct country comparison of the structure and extent of intergenerational income mobility in Germany and the United States. In line with existing results, the estimated intergenerational income mobility of 0.49 in the United States is significantly higher than that of 0.31 in Germany. While the results for the intergenerational rank mobility are relatively similar, the level of intergenerational income share mobility is higher in the United States than in Germany. There are no significant indications of a nonlinear run of intergenerational income elasticity. A final decomposition of intergenerational income inequality shows both greater income mobility and stronger progressive income growth for Germany compared to the United States. Overall, no clear ranking of the two countries can be identified. To conclude, several economic policy recommendations to increase intergenerational income mobility in Germany are discussed.
The second part examines the transmission channels of intergenerational income persistence in Germany and the United States. In principle, there are two ways in which well-off families may influence the adult incomes of their children: first through direct investments in their children's human capital (investment effect ), and second through the indirect transmission of human capital from parents to children (endowment effect ). In order to disentangle these two effects, a descriptive as well as a structural decomposition method are utilized. The results suggest that the investment effect and the endowment effect each account for approximately half of the estimated intergenerational income elasticity in Germany, while the investment effect is substantially more influential in the United States with a share of around 70 percent. With regard to economic policy, these results imply that equality of opportunity for children born to poor parents cannot be reached by the supply of financial means alone. Conversely, an efficient policy must additionally substitute for the missing direct transmission of human capital within socio-economically weak families.
The third part explicitly focuses on the intergenerational income mobility among daughters. The restriction to men is commonly made in the empirical literature due to women‘s lower labor market participation. While most men work full-time, the majority of (married) women still work only part-time or not at all. Especially with the occurrence of assortative mating, daughters from well-off families are likely to marry rich men and might decide to reduce their labor supply as a result. Thus, the individual labor income of a daughter might not be a good indicator for her actual economic status. The baseline regression analysis shows a higher intergenerational income elasticity in Germany and a lower intergenerational income elasticity in the United States for women as compared to men. However, a separation by marital status reveals that in both countries unmarried women exhibit a higher intergenerational income elasticity than unmarried men, while married women feature a lower intergenerational income elasticity than married men. The reason for the lower mobility of unmarried women turns out to be a stronger human capital transmission from fathers to daughters than to sons. The higher mobility of married women is driven by a weaker human capital transmission and a higher labor supply elasticity with respect to spousal income for women as compared to men. In order to further study the effects of assortative mating, the subsample of married children is analyzed by different types of income. It shows that the estimated intergenerational income elasticity of children's household incomes is even higher than that of their individual incomes. This can be seen as an indication for strong assortative mating. If household income is interpreted as a measure of children‘s actual economic welfare, there are barely any differences between sons and daughters. The intergenerational income elasticity of spousal income with respect to parental income is again relatively high, which in turn supports the hypothesis of strong assortative mating. The elasticity of the sons-in-law with respect to their fathers-in-law in Germany is even higher than that of the sons with respect to their own fathers.
Economists (should) care about regions! On the one hand this is true because macroeconomic shocks have vastly different effects across regions. The pressing topics of robotization
and artificial intelligence, Brexit, or U.S. tariffs will affect Würzburg differently than Berlin,
implying varying interests among its population, firms and politicians. On the other hand,
shocks in individual regions, such as inventions, bankruptcies or the attraction of a major
plant can, through trade and input-output linkages, magnify to aggregate effects of macroe-
conomic importance. Yet, regional heterogeneities in Germany and the complicated network
of linkages that connect regions are still not well documented nor understood. A fact that
is especially true for local labor markets that are of core interest to regional policy makers
and that also feature substantial heterogeneity.
This thesis provides a thorough quantification of such heterogeneities and an in-depth analysis of the sources and mechanisms that drive these differences.
Biofabrication is an advancing new research field that might, one day, lead to complex products like tissue replacements or tissue analogues for drug testing. Although great progress was made during the last years, there are still major hurdles like new types of materials and advanced processing techniques. The main focus of this thesis was to help overcoming this hurdles by challenging and improving existing fabrication processes like extrusion-based bioprinting but also by developing new techniques. Furthermore, this thesis assisted in designing and processing materials from novel building blocks like recombinant spider silk proteins or inks loaded with charged nanoparticles.
A novel 3D printing technique called Melt Electrospinning Writing (MEW) was used in Chapter 3 to create tubular constructs from thin polymer fibers (roughly 12 μm in diameter) by collecting the fibers onto rotating and translating cylinders. The main focus was put on the influence of the collector diameter and its rotation and translation on the morphology of the constructs generated by this approach. In a first step, the collector was not moving and the pattern generated by these settings was analyzed. It could be shown that the diameter of the stationary collectors had a big impact on the morphology of the constructs. The bigger the diameter of the mandrel (smallest collector diameters 0.5 mm, biggest 4.8 mm) got, the more the shape of the generated footprint converged into a circular one known from flat collectors. In a second set of experiments the mandrels were only rotated. Increasing the rotational velocity from 4.2 to 42.0 rpm transformed the morphology of the constructs from a figure-of-eight pattern to a sinusoidal and ultimately to a straight fiber morphology. It was possible to prove that the transformation of the pattern was comparable to what was known from increasing the speed using flat collectors and that at a critical speed, the so called critical translation speed, straight fibers would appear that were precisely stacking on top of each other. By combining rotation and translation of the mandrel, it was possible to print tubular constructs with defined winding angles. Using collections speeds close to the critical translation speed enabled higher control of fiber positioning and it was possible to generate precisely stacked constructs with winding angles between 5 and 60°.
In Chapter 4 a different approach was followed. It was based on extrusion-based bioprinting in combination with a hydrogel ink system. The ink was loaded with nanoparticles and the nanoparticle release was analyzed. In other words, two systems, a printable polyglycidol/hyaluronic acid ink and mesoporous silica nanoparticles (MSN), were combined to analyze charge driven release mechanism that could be fine-tuned using bioprinting. Thorough rheological evaluations proved that the charged nanoparticles, both negatively charged MSN-COOH and positively charged MSN-NH2, did not alter the shear thinning properties of the ink that revealed a negative base charge due to hyaluronic acid as one of its main components. Furthermore, it could be shown that the particles did also not have a negative effect on the recovery properties of the material after exposure to high shear. During printing, the observations made via rheological testing were supported by the fact that all materials could be printed at the same settings of the bioprinter. Using theses inks, it was possible to make constructs as big as 12x12x3 mm3 composed of 16 layers. The fiber diameters produced were about 627±31 μm and two-component constructs could be realized utilizing the two hydrogel print heads of the printer to fabricate one hybrid construct. The particle distribution within those constructs was homogeneous, both from a microscopic and a macroscopic point of view. Particle release from printed constructs was tracked over 6 weeks and revealed that the print geometry had an influence on the particle release. Printed in a geometry with direct contact between the strands containing different MSN, the positively charged particles quickly migrated into the strand previously containing only negatively charged MSN-COOH. The MSN-COOH seemed to be rather released into the surrounding liquid and also after 6 weeks no MSN-COOH signal could be detected in the strand previously only containing MSN-NH2. In case of a geometry without direct contact between the strands, the migration of the positively charged nanoparticles into the MSN-COOH containing strand was strongly delayed. This proved that the architecture of the printed construct can be used to fine-tune the particle release from nanoparticle containing printable hydrogel ink systems.
Chapter 5 discusses an approach using hydrogel inks based on recombinant spider silk proteins processed via extrusion-based bioprinting. The ink could be applied for printing at protein concentrations of 3 % w/v without the addition of thickeners or any post process crosslinking. Both, the recombinant protein eADF4(C16) and a modification introducing a RGD-sequence to the protein (eADF4(C16)-RGD), could be printed revealing a very good print fidelity. The RGD modification had positive effect on the adhesion of cells seeded onto printed constructs. Furthermore, human fibroblasts encapsulated in the ink at concentrations of 1.2 million cells per mL did not alter the print fidelity and did not interfere with the crosslinking mechanism of the ink. This enabled printing cell laden constructs with a cell survival rate of 70.1±7.6 %. Although the cell survival rate needs to be improved in further trials, the approach shown is one of the first leading towards the shift of the window of biofabrication because it is based on a new material that does not need potentially harmful post-process crosslinking and allows the direct encapsulation of cells staying viable throughout the print process.
Breast cancer is the most common cancer among women worldwide and the second most common cause of cancer death in the developed countries. As the current state of the art in first-line drug screenings is highly ineffective, there is an urgent need for novel test systems that allow for reliable predictions of drug sensitivity.
In this study, a tissue engineering approach was used to successfully establish and standardize a 3-dimensional (3D) mamma carcinoma test system that was optimized for the testing of anti-tumour therapies as well as for the investigation of tumour biological issues. This 3D test system is based on the decellularised scaffold of a porcine small intestinal segment and represents the three molecular subsets of oestrogen receptor-positive, HER2/Neu-overexpressing and triple negative breast cancer (TNBC). The characterization of the test system with respect to morphology as well as the expression of markers for epithelial-mesenchymal transition (EMT) and differentiation indicate that the 3D tumour models cultured under static and dynamic conditions reflect tumour relevant features and have a good correlation with in vivo tumour tissue from the corresponding xenograft models. In this respect, the dynamic culture in a flow bioreactor resulted in the generation of tumour models that exhibited best reflection of the morphology of the xenograft material. Furthermore, the proliferation indices of 3D models were significantly reduced compared to 2-dimensional (2D) cell culture and therefore better reflect the in vivo situation. As this more physiological proliferation index prevents an overestimation of the therapeutic effect of cytostatic compounds, this is a crucial advantage of the test system compared to 2D culture. Moreover, it could be shown that the 3D models can recapitulate different tumour stages with respect to tumour cell invasion. The scaffold SISmuc with the preserved basement membrane structure allowed the investigation of invasion over this barrier which tumour cells of epithelial origin have to cross in in vivo conditions during the process of metastasis formation. Additionally, the data obtained from ultrastructural analysis and in situ zymography indicate that the invasion observed is connected to a tumour cell-associated change in the basement membrane in which matrix metalloproteinases (MMPs) are also involved. This features of the model in combination with the mentioned methods of analysis could be used in the future to mechanistically investigate invasive processes and to test anti-metastatic therapy strategies.
The validation of the 3D models as a test system with respect to the predictability of therapeutic effects was achieved by the clinically relevant targeted therapy with the monoclonal antibody trastuzumab which induces therapeutic response only in patients with HER2/Neu-overexpressing mamma carcinomas due to its specificity for HER2. While neither in 2D nor in 3D models of all molecular subsets a clear reduction of cell viability or an increase in apoptosis could be observed, a distinct increase in antibody-dependent cell-mediated cytotoxicity (ADCC) was detected only in the HER2/NEU-overexpressing 3D model with the help of an ADCC reporter gene assay that had been adapted for the application in the 3D model in the here presented work. This correlates with the clinical observations and underlines the relevance of ADCC as a mechanism of action (MOA) of trastuzumab. In order to measure the effects of ADCC on the tumour cells in a direct way without the indirect measurement via a reporter gene, the introduction of an immunological component into the models was required. This was achieved by the integration of peripheral blood mononuclear cells (PBMCs), thereby allowing the measurement of the induction of tumour cell apoptosis in the HER2/Neu-overexpressing model. Hence, in this study an immunocompetent model could be established that holds the potential for further testing of therapies from the emergent field of cancer immunotherapies.
Subsequently, the established test system was used for the investigation of scientific issues from different areas of application. By the comparison of the sensitivity of the 2D and 3D model of TNBC towards the water-insoluble compound curcumin that was applied in a novel nanoformulation or in a DMSO-based formulation, the 3D test system was successfully applied for the evaluation of an innovative formulation strategy for poorly soluble drugs in order to achieve cancer therapy-relevant concentrations. Moreover, due to the lack of targeted therapies for TNBC, the TNBC model was applied for testing novel treatment strategies. On the one hand, therapy with the WEE1 kinase inhibitor MK 1775 was evaluated as a single agent as well as in combination with the chemotherapeutic agent doxorubicin. This therapy approach did not reveal any distinct benefits in the 3D test system in contrast to testing in 2D culture. On the other hand, a novel therapy approach from the field of cellular immunotherapies was successfully applied in the TNBC 3D model. The treatment with T cells that express a chimeric antigen receptor (CAR) against ROR1 revealed in the static as well as in the dynamic model a migration of T cells into the tumour tissue, an enhanced proliferation of T cells as well as an efficient lysis of the tumour cells via apoptosis and therefore a specific anti-cancer effect of CAR-transduced T cells compared to control T cells. These results illustrate that the therapeutic application of CAR T cells is a promising strategy for the treatment of solid tumours like TNBC and that the here presented 3D models are suitable for the evaluation and optimization of cellular immunotherapies.
In the last part of this work, the 3D models were expanded by components of the tumour stroma for future applications. By coculture with fibroblasts, the natural structures of the intestinal scaffold comprising crypts and villi were remodelled and the tumour cells formed tumour-like structures together with the fibroblasts. This tissue model displayed a strong correlation with xenograft models with respect to morphology, marker expression as well as the activation of dermal fibroblasts towards a cancer-associated fibroblast (CAF) phenotype. For the integration of adipocytes which are an essential component of the breast stroma, a coculture with human adipose-derived stromal/stem cells (hASCs) which could be successfully differentiated along the adipose lineage in 3D static as well as dynamic models was established. These models are suitable especially for the mechanistic analysis of the reciprocal interaction between tumour cells and adipocytes due to the complex differentiation process.
Taken together, in this study a human 3D mamma carcinoma test system for application in the preclinical development and testing of anti-tumour therapies as well as in basic research in the field of tumour biology was successfully established. With the help of this modular test system, relevant data can be obtained concerning the efficacy of therapies in tumours of different molecular subsets and different tumour stages as well as for the optimization of novel therapy strategies like immunotherapies. In the future this can contribute to improve the preclinical screening and thereby to reduce the high attrition rates in pharmaceutical industry as well as the amount of animal experiments.
Cancer remains after cardiovascular diseases the leading cause of death worldwide and an estimated 8.2 million people died of it in 2012. By 2030, 13 million cancer deaths are expected due to the growth and ageing of the population. Hereof, colorectal cancer (CRC) is the third most common cancer in men and the second in women with a wide geographical variation across the world. Usually, CRC begins as a non-cancerous growth leading to an adenomatous polyp, or adenoma, arising from glandular cells. Since research has brought about better understanding of the mechanisms of cancer development, novel treatments such as targeted therapy have emerged in the past decades. Despite that, up to 95% of anticancer drugs tested in clinical phase I trials do not attain a market authorisation and hence these high attrition rates remain a key challenge for the pharmaceutical industry, making drug development processes enormously costly and inefficient. Therefore, new preclinical in vitro models which can predict drug responses in vivo more precisely are urgently needed. Tissue engineering not only provides the possibility of creating artificial three-dimensional (3D) in vitro tissues, such as functional organs, but also enables the investigation of drug responses in pathological tissue models, that is, in 3D cancer models which are superior to conventional two-dimensional (2D) cell cultures on petri dishes and can overcome the limitations of animal models, thereby reducing the need for preclinical in vivo models. In this thesis, novel 3D CRC models on the basis of a decellularised intestinal matrix were established. In the first part, it could be shown that the cell line SW480 exhibited different characteristics when grown in a 3D environment from those in conventional 2D culture. While the cells showed a mesenchymal phenotype in 2D culture, they displayed a more pronounced epithelial character in the 3D model. By adding stromal cells (fibroblasts), the cancer cells changed their growth pattern and built tumour-like structures together with the fibroblasts, thereby remodelling the natural mucosal structures of the scaffold. Additionally, the established 3D tumour model was used as a test system for treatment with standard chemotherapeutic 5-fluorouracil (5-FU). The second part of the thesis focused on the establishment of a 3D in vitro test system for targeted therapy. The US Food and Drug Administration has already approved of a number of drugs for targeted therapy of specific types of cancer. For instance, the small molecule vemurafenib (PLX4032, Zelboraf™) which demonstrated impressive response rates of 50–80% in melanoma patients with a mutation of the rapidly accelerated fibrosarcoma oncogene type B (BRAF) kinase which belongs to the mitogen active protein kinase (MAPK) signalling pathway. However, only 5% of CRC patients harbouring the same BRAF mutation respond to treatment with vemurafenib. An explanation for this unresponsiveness could be a feedback activation of the upstream EGFR, reactivating the MAPK pathway which sustains a proliferative signalling. To test this hypothesis, the two early passage cell lines HROC24 and HROC87, both presenting the mutation BRAF V600E but differing in other mutations, were used and their drug response to vemurafenib and/or gefitinib was assessed in conventional 2D cell culture and compared to the more advanced 3D model. Under 3D culture conditions, both cell lines showed a reduction of the proliferation rate only in the combination therapy approach. Furthermore, no significant differences between the various treatment approaches and the untreated control regarding apoptosis rate and viability for both cell lines could be found in the 3D tumour model which conferred an enhanced chemoresistance to the cancer cells. Because of the observed unresponsiveness to BRAF inhibition by vemurafenib as can be seen in the clinic for patients with BRAF mutations in CRC, the cell line HROC87 was used for further xenografting experiments and analysis of activation changes in the MAPK signalling pathway. It could be shown that the cells presented a reactivation of Akt in the 3D model when treated with both inhibitors, suggesting an escape mechanism for apoptosis which was not present in cells cultured under conventional 2D conditions. Moreover, the cells exhibited an activation of the hepatocyte growth factor receptor (HGFR, c-Met) in 2D and 3D culture, but this was not detectable in the xenograft model. This shows the limitations of in vivo models. The results suggest another feedback activation loop than that to the EGFR which might not primarily be involved in the resistance mechanism. This reflects the before mentioned high attrition rates in the preclinical drug testing.
Cardiovascular diseases are considered the leading cause of death worldwide according to the World Health Organization. Heart failure is the last stage of most of these diseases, where loss of myocardium leads to architectural and functional decline.
The definitive treatment option for patients with CVDs is organ or tissue transplantation, which relies on donor availability. Therefore, generating an autologous bioengineered myocardium or heart could overcome this limitation. In addition, generating cardiac patches will provide ventricular wall support and enable reparative stem cells delivery to damaged areas. Although many hurdles still exist, a good number of researches have attempted to create an engineered cardiac tissue which can induce endogenous cardiac repair by replacing damaged myocardium.
The present study provided cardiac patches in two models, one by a detergent coronary perfusion decellularization protocol that was optimized, and the other that resulted in a 3D cell-free extracellular matrix with intact architecture and preserved s-glycosaminoglycan and vasculature conduits. Perfusion with 1% Sodium dodecyle sulfate (SDS) under constant pressure resulted in cell-free porcine scaffold within two and cell-free rat scaffold in 7 days, whereas scaffold perfused with 4% sodium deoxycholate (SDO) was not able to remove cells completely. Re-reendothelialization of tissue vasculature was obtained by injecting human microvascular endothelial cell and human fibroblast in 2:1 ratio in a dynamic culture. One-week later, CD31 positive cells and endothelium markers were observed, indicating new blood lining. Moreover, functionality test of re-endothelialized tissue revealed improvement in clotting seen in decellularized tissues. When the tissue was ready to be repopulated, porcine induced pluripotent stem cells (PiPSc) were generated by transfected reprogramming of porcine skin fibroblast and then differentiated to cardiac cells following a robust protocol, for an autologous cardiac tissue model. However, due to the limitation in the PiPSc cell number, alternatively, human induced pluripotent stem cells generated cardiac cells were used.
For reseeding a coculture of human iPSc generated cardiac cells, human mesenchymal stem cells and human fibroblast in 2:1:1 ratio respectively were used in a dynamic culture for 6-8 weeks. Contractions at different areas of the tissue were recorded at an average beating rate of 67 beats/min. In addition, positive cardiac markers (Troponin T), Fibroblast (vemintin), and mesenchymal stem cells (CD90) were detected. Not only that, but by week 3, MSC started differentiating to cardiac cells progressively until few CD90 positive cells were very few by week 6 with increasing troponin t positive cells in parallel. Electrophysiological and drug studies were difficult to obtain due to tissue thickness and limited assessment sources. However, the same construct was established using small intestine submucosa (SISer) scaffold, which recorded a spontaneous beating rate between 0.88 and 1.2 Hz, a conduction velocity of 23.9 ± 0.74 cm s−1, and a maximal contraction force of 0.453 ± 0.015 mN. Moreover, electrophysiological studies demonstrated a drug-dependent response on beating rate; a higher adrenalin frequency was revealed in comparison to the untreated tissue and isoproterenol administration, whereas a decrease in beating rate was observed with propranolol and untreated tissue.
The present study demonstrated the establishment of vascularized cardiac tissue, which can be used for human clinical application.
Regulation of gene expression by the control of transcription is essential for any cell to adapt to the environment and survive. Transcription regulators, i.e. sequence-specific DNA binding proteins that regulate gene expression, are central elements within the gene networks of most organisms. Transcription regulators are grouped into distinct families based on structural features that determine, to a large extent, the DNA sequence(s) that they can recognise and bind. Less is known, however, about how the DNA binding preferences can diversify within transcription regulator families during evolutionary timescales, and how such diversification can affect the biology of the organism.
In this dissertation I study the SREBP (sterol regulatory element binding protein) family of transcriptional regulators in yeasts, and in Candida albicans in particular, as an experimental system to address these questions. The SREBPs are conserved from fungi to humans and represent a subgroup of basic helix-loop-helix DNA binding proteins. Early chromatin immunoprecipitation experiments with SREBPs from humans and yeasts showed that these proteins bound in vivo to the canonical DNA sequence, termed E-box, most basic helix-loop-helix proteins bind to. By contrast, most recent analysis carried out with less-studied fungal SREBPs revealed a non-canonical DNA motif to be the most overrepresented sequence in the bound regions.
This study aims to establish the intrinsic DNA binding preferences of key branches of this family and to determine how the divergence in DNA binding affinities originated. To this end, I combined phylogenetic and ancestral reconstruction with extensive biochemical characterisation of key SREBP proteins. The results indicated that while the most-studied SREBPs (in mammals) indeed show preference for the E-box, a second branch of the family preferentially binds the non-E-box, and a third one is able to bind both sequences with similar affinity. The preference for one or the other DNA sequence is an intrinsic property of each protein because their purified DNA binding domain was sufficient to recapitulate their in vivo binding preference. The ancestor that gave rise to these two different types of SREBPs (the branch that binds E-box and the one that binds non-E-box DNA) appears to be a protein with a broader DNA binding capability that had a slight preference for the non-canonical motif. Thus, the results imply these two branches originated by either enhancing the original ancestral preference for non-E-box or tilting it towards the E-box DNA and flipping the preference for this sequence.
The main function associated with members of the SREBP family in most eukaryotes is the control of lipid biosynthesis. I have further studied the function of these proteins in the lineage that encompasses the human associated yeast C. albicans. Strikingly, the three SREBPs present in the fungus’ genome contribute to the colonisation of the mammalian gut by regulating cellular processes unrelated to lipid metabolism. Here I describe that two of the three C. albicans SREBPs form a regulatory cascade that regulates morphology and cell wall modifications under anaerobic conditions, whereas the third SREBP has been shown to be involved in the regulation of glycolysis genes.
Therefore, I posit that the described diversification in DNA binding specificity in these proteins and the concomitant expansion of targets of regulation were key in enabling this fungal lineage to associate with animals.
Making machines understand natural language is a dream of mankind that existed
since a very long time. Early attempts at programming machines to converse with
humans in a supposedly intelligent way with humans relied on phrase lists and simple
keyword matching. However, such approaches cannot provide semantically adequate
answers, as they do not consider the specific meaning of the conversation. Thus, if we
want to enable machines to actually understand language, we need to be able to access
semantically relevant background knowledge. For this, it is possible to query so-called
ontologies, which are large networks containing knowledge about real-world entities
and their semantic relations. However, creating such ontologies is a tedious task, as often
extensive expert knowledge is required. Thus, we need to find ways to automatically
construct and update ontologies that fit human intuition of semantics and semantic
relations. More specifically, we need to determine semantic entities and find relations
between them. While this is usually done on large corpora of unstructured text, previous
work has shown that we can at least facilitate the first issue of extracting entities by
considering special data such as tagging data or human navigational paths. Here, we do
not need to detect the actual semantic entities, as they are already provided because of
the way those data are collected. Thus we can mainly focus on the problem of assessing
the degree of semantic relatedness between tags or web pages. However, there exist
several issues which need to be overcome, if we want to approximate human intuition of
semantic relatedness. For this, it is necessary to represent words and concepts in a way
that allows easy and highly precise semantic characterization. This also largely depends
on the quality of data from which these representations are constructed.
In this thesis, we extract semantic information from both tagging data created by users
of social tagging systems and human navigation data in different semantic-driven social
web systems. Our main goal is to construct high quality and robust vector representations
of words which can the be used to measure the relatedness of semantic concepts.
First, we show that navigation in the social media systems Wikipedia and BibSonomy is
driven by a semantic component. After this, we discuss and extend methods to model
the semantic information in tagging data as low-dimensional vectors. Furthermore, we
show that tagging pragmatics influences different facets of tagging semantics. We then
investigate the usefulness of human navigational paths in several different settings on
Wikipedia and BibSonomy for measuring semantic relatedness. Finally, we propose
a metric-learning based algorithm in adapt pre-trained word embeddings to datasets
containing human judgment of semantic relatedness.
This work contributes to the field of studying semantic relatedness between words
by proposing methods to extract semantic relatedness from web navigation, learn highquality
and low-dimensional word representations from tagging data, and to learn
semantic relatedness from any kind of vector representation by exploiting human
feedback. Applications first and foremest lie in ontology learning for the Semantic Web,
but also semantic search or query expansion.
In Tissue Engineering, scaffolds composed of natural polymers often show a distinct lack in stability. The natural polymer gelatin is highly fragile under physiological conditions, nevertheless displaying a broad variety of favorable properties. The aim of this study was to fabricate electrospun gelatin nanofibers, in situ functionalized and stabilized during the spinning process with highly reactive star polymer NCO-sP(EO-stat-PO) (“sPEG”). A spinning protocol for homogenous, non-beaded, 500 to 1000 nm thick nanofibers from different ratios of gelatin and sPEG was successfully established. Fibers were subsequently characterized and tested with SEM imaging, tensile tests, water incubation, FTIR, EDX, and cell culture. It was shown that adding sPEG during the spinning process leads to an increase in visible fiber crosslinking, mechanical stability, and stability in water. The nanofibers were further shown to be biocompatible in cell culture with RAW 264.7 macrophages.
In the past few years, two-dimensional quantum liquids with fractional excitations have been a topic of high interest due to their possible application in the emerging field of quantum computation and cryptography. This thesis is devoted to a deeper understanding of known and new fractional quantum Hall states and their stabilization in local models. We pursue two different paths, namely chiral spin liquids and fractionally quantized, topological phases.
The chiral spin liquid is one of the few examples of spin liquids with fractional statistics. Despite its numerous promising properties, the microscopic models for this state proposed so far are all based on non-local interactions, making the experimental realization challenging. In the first part of this thesis, we present the first local parent Hamiltonians, for which the Abelian and non-Abelian chiral spin liquids are the exact and, modulo a topological degeneracy, unique ground states. We have developed a systematic approach to find an annihilation operator of the chiral spin liquid and construct from it a many-body interaction which establishes locality. For various system sizes and lattice geometries, we numerically find largely gapped eigenspectra and confirm to an accuracy of machine precision the uniqueness of the chiral spin liquid as ground state of the respective system. Our results provide an exact spin model in which fractional quantization can be studied.
Topological insulators are one of the most actively studied topics in current condensed matter physics research. With the discovery of the topological insulator, one question emerged: Is there an interaction-driven set of fractionalized phases with time reversal symmetry? One intuitive approach to the theoretical construction of such a fractional topological insulator is to take the direct product of a fractional quantum Hall state and its time reversal conjugate. However, such states are well studied conceptually and do not lead to new physics, as the idea of taking a state and its mirror image together without any entanglement between the states has been well understood in the context of topological insulators. Therefore, the community has been looking for ways to implement some topological interlocking between different spin species. Yet, for all practical purposes so far, time reversal symmetry has appeared to limit the set of possible fractional states to those with no interlocking between the two spin species.
In the second part of this thesis, we propose a new universality class of fractionally quantized, topologically ordered insulators, which we name “fractional insulator”. Inspired by the fractional quantum Hall effect, spin liquids, and fractional Chern insulators, we develop a wave function approach to a new class of topological order in a two-dimensional crystal of spin-orbit coupled electrons. The idea is simply to allow the topological order to violate time reversal symmetry, while all locally observable quantities remain time reversal invariant. We refer to this situation as “topological time reversal symmetry breaking”. Our state is based on the Halperin double layer states and can be viewed as a two-layer system of an ↑-spin and a ↓-spin sphere. The construction starts off with Laughlin states for the ↑-spin and ↓-spin electrons and an interflavor term, which creates correlations between the two layers. With a careful parameter choice, we obtain a state preserving time reversal symmetry locally, and label it the “311-state”. For systems of up to six ↑-spin and six ↓-spin electrons, we manage to construct an approximate parent Hamiltonian with a physically realistic, local interaction.
Wilms tumor (WT) is the most common kidney cancer in childhood. It is a genetically heterogeneous tumor and several genetic alterations have been identified in WT patients. Recurrent mutations were found in the homeo-domain of SIX1 and SIX2 in high proliferative tumors (18.1% of the blastemal-type tumors) as well as in the microprocessor genes DROSHA and DGCR8 (18.2% of the blastemal-type tumors), indicating a critical role of the SIX-SALL pathway and aberrant miRNA processing in WT formation. Underlined by the fact that a significant overlap between mutations in DROSHA and SIX1 was found, indicating a synergistic effect.
To characterize the in vivo role of DROSHA and SIX mutations during kidney development and their oncogenic potential, I analyzed mouse lines with either a targeted deletion of Drosha or an inducible expression of human DROSHA or SIX1 carrying a tumor-specific E1147K or Q177R mutation, respectively.
The DROSHA mutation E1147K was predicted to act in a dominant negative manner. Six2-cre mediated deletion of Drosha in nephron progenitors led to a lethal phenotype with apoptotic loss of progenitor cells and early termination of nephrogenesis. Mosaic deletions via Wt1-creERT2 resulted in a milder phenotype with viable offspring that developed proteinuria after 2-4 weeks, but no evidence of tumor formation. Activation of the DROSHA-E1147K transgene via Six2-cre, on the other hand, induced a more severe phenotype with apoptosis of progenitor cells, proteinuria and glomerular sclerosis. The severely growth-retarded mice died within the first two months. This strong phenotype was consistent with the predicted dominant-negative effect of DROSHA-E1147K.
Analysis of the SIX1-Q177R mutation suggested that the mutation leads to a shift in DNA binding specificity instead of a complete loss of DNA binding. This may end up in subtle changes of the gene regulatory capacity of SIX1. Six2-cre mediated activation of SIX1-Q177R lead to a viable phenotype with no alterations or shortened life span. Yet a global activation of SIX1-Q177R mediated by Zp3-cre resulted in bilateral hydronephrosis and juvenile death of the mice.
To mimic the synergistic effect of DROSHA and SIX1 mutations, I generated compound mutants in two combinations: A homozygous deletion of Drosha combined with an activation of SIX1-Q177R and a compound mutant with activation of DROSHA-E1147K and SIX1-Q177R. Each mouse model variant displayed new phenotypical alterations. Mice with Six2-cre mediated homozygous deletion of Drosha and activation of SIX1-Q177R were not viable, yet heterozygous deletion of Drosha and activation of SIX1-Q177R led to hydronephrosis, proteinuria and an early death around stage P28. Combined activation of DROSHA-E1147K and SIX1-Q177R under Six2-cre resulted in proteinuria, glomerulosclerosis and lesions inside the kidney. These mice also suffered from juvenile death. Both mouse models could confirm the predicted synergistic effect.
While these results underscore the importance of a viable self-renewing progenitor pool for kidney development, there was no evidence of tumor formation. This suggests that either additional alterations in mitogenic or antiapoptotic pathways are needed for malignant transformation, or premature loss of a susceptible target cell population and early lethality prevent WT formation.
Functional analysis of polarization and podosome formation of murine and human megakaryocytes
(2019)
In mammals, blood platelets are produced by large bone marrow (BM) precursor cells, megakaryocytes (MK) that extend polarized cell protrusions (proplateles) into BM sinusoids. Proplatelet formation (PPF) requires substantial cytoskeletal rearrangements that have been shown to involve the formation of podosomes, filamentous actin (F-actin) and integrin-rich structures. However, the exact molecular mechanisms regulating MK podosome formation, polarization and migration within the BM are poorly defined. According to current knowledge obtained from studies with other cell types, these processes are regulated by Rho GTPase proteins like RhoA and Cdc42.
In this thesis, polarization and podosome formation were investigated in MKs from genetically modified mice, as well as the cell lines K562 and Meg01 by pharmacological modulation of signaling pathways.
The first part of this thesis describes establishment of the basic assays for investigation of MK polarization. Initial data on polarization of the MK-like erythroleukemia cell line K562 revealed first insights into actin and tubulin dynamics of wild type (WT) and RhoA knock-out (RhoA-/-) K562 cells. Phorbol 12-myristate 13-acetate (PMA)-induction of K562 cells led to the expected MK-receptor upregulation but also RhoA depletion and altered polarization patterns.
The second part of this thesis focuses on podosome formation of MKs. RhoA is shown to be dispensable for podosome formation. Cdc42 is revealed as an important, but not essential regulator of MK spreading and podosome formation. Studies of signaling pathways of podosome formation reveal the importance of the tyrosine kinases Src, Syk, as well as glycoprotein (GP)VI in MK spreading and podosome formation.
This thesis provides novel insights into the mechanisms underlying polarization and podosome formation of MKs and reveals new, important information about cytoskeletal dynamics of MKs and potentially also platelets.
Protein quality control systems are critical for cellular proteostasis and survival under stress conditions. The ubiquitin proteasome system (UPS) plays a pivotal role in proteostasis by eliminating misfolded and damaged proteins. However, exposure to the environmental toxin arsenite results in the accumulation of polyubiquitylated proteins, indicating an overload of the UPS. Arsenite stress induces the rapid formation of stress granules (SGs), which are cytoplasmic assemblies of mRNPs stalled in translation initiation. The mammalian proteins ZFAND2A/B (also known as AIRAP and AIRAPL, respectively) bind to the 26S proteasome, and ZFAND2A has been shown to adapt proteasome activity to arsenite stress. They belong to a small subfamily of AN1 type zinc finger containing proteins that also comprises the unexplored mammalian member ZFAND1 and its yeast homolog Cuz1.
In this thesis, the cellular function of Cuz1 and ZFAND1 was investigated. Cuz1/ZFAND1 was found to interact with the ubiquitin-selective, chaperone-like ATPase Cdc48/p97 and with the 26S proteasome. The interaction between Cuz1/ZFAND1 and Cdc48/p97 requires a predicted ubiquitin-like domain of Cuz1/ZFAND1. In vivo, this interaction was strongly dependent on acute arsenite stress, suggesting that it is a part of the cellular arsenite stress response. Lack of Cuz1/ZFAND1 caused a defect in the clearance of arsenite induced SG clearance. ZFAND1 recruits both, the 26S proteasome and p97, to arsenite-induced SGs for their normal clearance. In the absence of ZFAND1, SGs lack the 26S proteasome and p97, accumulate defective ribosomal products and become aberrant. These aberrant SGs persist after arsenite removal and undergo degradation via autophagy. ZFAND1 depletion is epistatic to the expression of pathogenic mutant p97 with respect to SG clearance, suggesting that ZFAND1 function is relevant to the multisystem degenerative disorder, inclusion body myopathy associated with Paget’s disease of bone and frontotemporal dementia and amyotrophic lateral sclerosis (IBMPFD/ALS).
Behavioral adaptation to environmental changes is crucial for animals’ survival. The prediction of the outcome of one owns action, like finding reward or avoiding punishment, requires recollection of past experiences and comparison with current situation, and adjustment of behavioral responses. The process of memory acquisition is called learning, and the Drosophila larva came up to be an excellent model organism for studying the neural mechanisms of memory formation. In Drosophila, associative memories are formed, stored and expressed in the mushroom bodies. In the last years, great progress has been made in uncovering the anatomical architecture of these brain structures, however there is still a lack of knowledge about the functional connectivity.
Dopamine plays essential roles in learning processes, as dopaminergic neurons mediate information about the presence of rewarding and punishing stimuli to the mushroom bodies. In the following work, the function of a newly identified anatomical connection from the mushroom bodies to rewarding dopaminergic neurons was dissected. A recurrent feedback signaling within the neuronal network was analyzed by simultaneous genetic manipulation of the mushroom body Kenyon cells and dopaminergic neurons from the primary protocerebral anterior (pPAM) cluster, and learning assays were performed in order to unravel the impact of the Kenyon cells-to-pPAM neurons feedback loop on larval memory formation.
In a substitution learning assay, simultaneous odor exposure paired with optogenetic activation of Kenyon cells in fruit fly larvae in absence of a rewarding stimulus resulted in formation of an appetitive memory, whereas no learning behavior was observed when pPAM neurons were ablated in addition to the KC activation. I argue that the activation of Kenyon cells may induce an internal signal that mimics reward exposure by feedback activation of the rewarding dopaminergic neurons. My data further suggests that the Kenyon cells-to-pPAM communication relies on peptidergic signaling via short neuropeptide F and underlies memory stabilization.
Functionalization of cells, extracellular matrix components and proteins for therapeutic application
(2019)
Glycosylation is a biochemical process leading to the formation of glycoconjugates by linking glycans (carbohydrates) to proteins, lipids and various small molecules. The glycans are formed by one or more monosaccharides that are covalently attached, thus offering a broad variety depending on their composition, site of glycan linkage, length and ramification. This special nature provides an exceptional and fine tunable possibility in fields of information transfer, recognition, stability and pharmacokinetic. Due to their intra- and extracellular omnipresence, glycans fulfill an essential role in the regulation of different endogenous processes (e.g. hormone action, immune surveillance, inflammatory response) and act as a key element for maintenance of homeostasis. The strategy of metabolic glycoengineering enables the integration of structural similar but chemically modified monosaccharide building blocks into the natural given glycosylation pathways, thereby anchoring them in the carbohydrate architecture of de novo synthesized glycoconjugates. The available unnatural sugar molecules which are similar to endogenous sugar molecules show minimal perturbation in cell function and - based on their multitude functional groups - offer the potential of side directed coupling with a target substance/structure as well as the development of new biological properties. The chemical-enzymatic strategy of glycoengineering provides a valuable complement to genetic approaches.
This thesis primarily focuses on potential fields of application for glycoengineering and its further use in clinic and research. The last section of this work outlines a genetic approach, using special Escherichia coli systems, to integrate chemically tunable amino acids into the biosynthetic pathway of proteins, enabling specific and site-directed coupling with target substances. With the genetic information of the methanogen archaea, Methanosarcina barkeri, the E. coli. system is able to insert a further amino acid, the pyrrolysine, at the ribosomal site during translation of the protein. The natural stop-codon UAG (amber codon) is used for this newly obtained proteinogenic amino acid.
Chapter I describes two systems for the integration of chemically tunable monosaccharides and presents methods for characterizing these systems. Moreover, it gives a general overview of the structure as well as intended use of glycans and illustrates different glycosylation pathways. Furthermore, the strategy of metabolic glycoengineering is demonstrated. In this context, the structure of basic building blocks and the epimerization of monosaccharides during their metabolic fate are discussed.
Chapter II translates the concept of metabolic glycoengineering to the extracellular network produced by fibroblasts. The incorporation of chemically modified sugar components in the matrix provides an innovative, elegant and biocompatible method for site-directed coupling of target substances. Resident cells, which are involved in the de novo synthesis of matrices, as well as isolated matrices were characterized and compared to unmodified resident cells and matrices. The natural capacity of the matrix can be extended by metabolic glycoengineering and enables the selective immobilization of a variety of therapeutic substances by combining enzymatic and bioorthogonal reaction strategies. This approach expands the natural ability of extracellular matrix (ECM), like the storage of specific growth factors and the recruitment of surface receptors along with synergistic effects of bound substances. By the selection of the cell type, the production of a wide range of different matrices is possible.
Chapter III focuses on the target-oriented modification of cell surface membranes of living fibroblast and human embryonic kidney cells. Chemically modified monosaccharides are inserted by means of metabolic glycoengineering and are then presented on the cell surface. These monosaccharides can later be covalently coupled, by “strain promoted azide-alkyne cycloaddition“ (SPAAC) and/or “copper(I)-catalyzed azide-alkyne cycloaddition“ (CuAAC), to the target substance. Due to the toxicity of the copper catalysator in the CuAAC, cytotoxicity analyses were conducted to determine the in vivo tolerable range for the use of CuAAC on living cell systems. Finally, the efficacy of both bioorthogonal reactions was compared.
Chapter IV outlines two versatile carrier – spacer – payload delivery systems based on an enzymatic cleavable linker, triggered by disease associated protease. In the selection of carrier systems (i) polyethylene glycol (PEG), a well-studied, Food and Drug Administration approved substance and very common tool to increase the pharmacokinetic properties of therapeutic agents, was chosen as a carrier for non-targeting systems and (ii) Revacept, a human glycoprotein VI antibody, was chosen as a carrier for targeting systems. The protease sensitive cleavable linker was genetically inserted into the N-terminal region of fibroblast growth factor 2 (FGF-2) without jeopardizing protein activity. By exchanging the protease sensitive sequence or the therapeutic payload, both systems represent a promising and adaptable approach for establishing therapeutic systems with bioresponsive release, tailored to pre-existing conditions.
In summary, by site-specific functionalization of various delivery platforms, this thesis establishes an essential cornerstone for promising strategies advancing clinical application. The outlined platforms ensure high flexibility due to exchanging single or multiple elements of the system, individually tailoring them to the respective disease or target site.
The topic of this thesis is generalizations of the Anti de Sitter/Conformal Field Theory (AdS/CFT) correspondence, often referred to as holography, and their application to models relevant for condensed matter physics. A particular virtue of AdS/CFT is to map strongly coupled quantum field theories, for which calculations are inherently difficult, to more tractable classical gravity theories. I use this approach to study the crossover between Bose-Einstein condensation (BEC) and the Bardeen-Cooper-Schrieffer (BCS) superconductivity mechanism. I also study the phase transitions between the AdS black hole and AdS soliton spacetime in the presence of disorder. Moreover, I consider a holographic model of a spin impurity interacting with a strongly correlated electron gas, similar to the Kondo model.
In AdS/CFT, the BEC/BCS crossover is modeled by a soliton configuration in the dual geometry and we study the BEC and BCS limits. The backreaction of the matter field on the background geometry is considered, which provides a new approach to study the BEC/BCS crossover. The behaviors of some physical quantities such as depletion of charge density under different strength of backreaction are presented and discussed. Moreover, the backreaction enables us to obtain the effective energy density of the soliton configurations, which together with the surface tension of the solitons leads to an argument for the occurrence of so called snake instability for dark solitons, i.e. for the solitons to form a vortex-like structures.
Disordering strongly coupled and correlated quantum states of matter may lead to new insights into the physics of many body localized (MBL) strongly correlated states, which may occur in the presence of strong disorder. We are interested in potential insulator-metal transitions induced by disorder, and how disorder affects the Hawking-Page phase transition in AdS gravity in general. We introduce a metric ansatz and numerically construct the corresponding disordered AdS soliton and AdS black hole solutions, and discuss the calculation of the free energy in these states.
In the Kondo effect, the rise in resistivity in metals with scarce magnetic impurities at low temperatures can be explained by the RG flow of the antiferromagnetic coupling between the impurity and conduction electrons in CFT. The generalizations to SU(N) in the large N limit make the treatment amenable to the holographic approach. We add a Maxwell term to a previously existing holographic model to study the conductivity of the itinerant electrons. Our goal is to find the log(T) behavior in the DC resistivity. In the probe limit, we introduce junction conditions to connect fields crossing the defect. We then consider backreactions, which give us a new metric ansatz and new junction conditions for the gauge fields.
Neurodevelopmental disorders, including attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are disorders of mostly unknown etiopathogenesis, for which both genetic and environmental influences are expected to contribute to the phenotype observed in patients. Changes at all levels of brain function, from network connectivity between brain areas, over neuronal survival, synaptic connectivity and axonal growth, down to molecular changes and epigenetic modifications are suspected to play a key roles in these diseases, resulting in life-long behavioural changes.
Genome-wide association as well as copy-number variation studies have linked cadherin-13 (CDH13) as a novel genetic risk factor to neuropsychiatric and neurodevelopmental disorders. CDH13 is highly expressed during embryonic brain development, as well as in the adult brain, where it is present in regions including the hippocampus, striatum and thalamus (among others) and is upregulated in response to chronic stress exposure. It is however unclear how CDH13 interacts with environmentally relevant cues, including stressful triggers, in the formation of long-lasting behavioural and molecular changes. It is currently unknown how the environment influences CDH13 and which long term changes in behaviour and gene expression are caused by their interaction. This work therefore investigates the interaction between CDH13 deficiency and neonatal maternal separation (MS) in mice with the aim to elucidate the function of CDH13 and its role in the response to early-life stress (ELS).
For this purpose, mixed litters of wild-type (Cdh13+/+), heterozygous (Cdh13+/-) and homozygous knockout (Cdh13-/-) mice were maternally separated from postnatal day 1 (PN1) to postnatal day 14 (PN14) for 3 hours each day (180MS; PN1-PN14). In a first series of experiments, these mice were subjected to a battery of behavioural tests starting at 8 weeks of age in order to assess motor activity, memory functions as well as measures of anxiety. Subsequently, expression of RNA in various brain regions was measured using quantitativ real-time polymerase chain reaction (qRT-PCR). A second cohort of mice was exposed to the same MS procedure, but was not behaviourally tested, to assess molecular changes in hippocampus using RNA sequencing.
Behavioural analysis revealed that MS had an overall anxiolytic-like effect, with mice after MS spending more time in the open arms of the elevated-plus-maze (EPM) and the light compartment in the light-dark box (LDB). As a notable exception, Cdh13-/- mice did not show an increase of time spent in the light compartment after MS compared to Cdh13+/+ and Cdh13+/- MS mice. During the Barnes-maze learning task, mice of most groups showed a similar ability in learning the location of the escape hole, both in terms of primary latency and primary errors. Cdh13-/- control (CTRL) mice however committed more primary errors than Cdh13-/- MS mice. In the contextual fear conditioning (cFC) test, Cdh13-/- mice showed more freezing responses during the extinction recall, indicating a reduced extinction of fear memory. In the step-down test, an impulsivity task, Cdh13-/- mice had a tendency to wait longer before stepping down from the platform, indicative of more hesitant behaviour. In the same animals, qRT-PCR of several brain areas revealed changes in the GABAergic and glutamatergic systems, while also highlighting changes in the gatekeeper enzyme Glykogensynthase-Kinase 3 (Gsk3a), both in relation to Cdh13 deficiency and MS. Results from the RNA sequencing study and subsequent gene-set enrichment analysis revealed changes in adhesion and developmental genes due to Cdh13 deficiency, while also highlighting a strong link between CDH13 and endoplasmatic reticulum function. In addition, some results suggest that MS increased pro-survival pathways, while a gene x environment analysis showed alterations in apoptotic pathways and migration, as well as immune factors and membrane metabolism. An analysis of the overlap between gene and environment, as well as their interaction, highlighted an effect on cell adhesion factors, underscoring their importance for adaptation to the environment.
Overall, the stress model resulted in increased stress resilience in Cdh13+/+ and Cdh13+/- mice, a change absent in Cdh13-/- mice, suggesting a role of CDH13 during programming and adaptation to early-life experiences, that can results in long-lasting consequences on brain functions and associated behaviours. These changes were also visible in the RNA sequencing, where key pathways for cell-cell adhesion, neuronal survival and cell-stress adaptation were altered. In conclusion, these findings further highlight the role of CDH13 during brain development, while also shedding light on its function in the adaptation and response during (early life) environmental challenges.
Myocardial infarction (MI) is a major cause of health problems and is among the leading deadly ending diseases. Accordingly, regenerating functional myocardial tissue and/or cardiac repair by stem cells is one of the most desired aims worldwide. Indeed, the human heart serves as an ideal target for regenerative intervention, because the capacity of the adult myocardium to restore itself after injury or infarct is limited. Thus, identifying new sources of tissue resident adult stem or progenitor cells with cardiovascular potential would help to establish more sophisticated therapies in order to either prevent cardiac failure or to achieve a functional repair. Ongoing research worldwide in this field is focusing on a) induced pluripotent stem (iPS) cells, b) embryonic stem (ES) cells and c) adult stem cells (e. g. mesenchymal stem cells) as well as cardiac fibroblasts or myofibroblasts. However, thus far, these efforts did not result in therapeutic strategies that were transferable into the clinical management of MI and heart failure. Hence, identifying endogenous and more cardiac-related sources of stem cells capable of differentiating into mature cardiomyocytes would open promising new therapeutic opportunities. The working hypothesis of this thesis is that the vascular wall serves as a niche for cardiogenic stem cells. In recent years, various groups have identified different types of progenitors or mesenchymal stem cell-like cells in the adventitia and sub-endothelial zone of the adult vessel wall, the so called vessel wall-resident stem cells (VW-SCs). Considering the fact that heart muscle tissue contains blood vessels in very high density, the physiological relevance of VW-SCs for the myocardium can as yet only be assumed. The aim of the present work is to study whether a subset of VW-SCs might have the capacity to differentiate into cardiomyocyte-like cells. This assumption was challenged using adult mouse aorta-derived cells cultivated in different media and treated with selected factors. The presented results reveal the generation of spontaneously beating cardiomyocyte-like cells using specific media conditions without any genetic manipulation. The cells reproducibly started beating at culture days 8-10. Further analyses revealed that in contrast to several publications reporting the Sca-1+ cells as cardiac progenitors the Sca-1- fraction of aortic wall-derived VW-SCs reproducibly delivered beating cells in culture. Similar to mature cardiomyocytes the beating cells developed sarcomeric structures indicated by the typical cross striated staining pattern upon immunofluorescence analysis detecting α-sarcomeric actinin (α-SRA) and electron microscopic analysis. These analyses also showed the formation of sarcoplasmic reticulum which serves as calcium store. Correspondingly, the aortic wall-derived beating cardiomyocyte-like cells (Ao-bCMs) exhibited calcium oscillations. This differentiation seems to be dependent on an inflammatory microenvironment since depletion of VW-SC-derived macrophages by treatment with clodronate liposomes in vitro stopped the generation of Ao bCMs. These locally generated F4/80+ macrophages exhibit high levels of VEGF (vascular endothelial growth factor). To a great majority, VW-SCs were found to be positive for VEGFR-2 and blocking this receptor also stopped the generation VW-SC-derived beating cells in vitro. Furthermore, the treatment of aortic wall-derived cells with the ß-receptor agonist isoproterenol or the antagonist propranolol resulted in a significant increase or decrease of beating frequency. Finally, fluorescently labeled aortic wall-derived cells were implanted into the developing chick embryo heart field where they became positive for α-SRA two days after implantation. The current data strongly suggest that VW-SCs resident in the vascular adventitia deliver both progenitors for an inflammatory microenvironment and beating cells. The present study identifies that the Sca-1- rather than Sca-1+ fraction of mouse aortic wall-derived cells harbors VW-SCs differentiating into cardiomyocyte-like cells and reveals an essential role of VW-SCs-derived inflammatory macrophages and VEGF-signaling in this process. Furthermore, this study demonstrates the cardiogenic capacity of aortic VW-SCs in vivo using a chimeric chick embryonic model.
This thesis describes the growth and characterization of epitaxial MnSi thin films on Si substrates. The interest in this material system stems from the rich magnetic phase diagram resulting from the noncentrosymmetric B20 crystal structure. Here neighboring spins prefer a tilted relative arrangement in contrast to ferro- and antiferromagnets, which leads to a helical ground state where crystal and spin helix chirality are linked [IEM+85]. This link makes the characterization and control of the crystal chirality the main goal of this thesis.
After a brief description of the material properties and applied methods, the thesis itself is divided into four main parts. In the first part the advancement of the MBE growth process of MnSi on Si\((111)\) substrate as well as the fundamental structural characterization are described. Here the improvement of the substrate interface by an adjusted substrate preparation process is demonstrated, which is the basis for well ordered flat MnSi layers. On this foundation the influence of Mn/Si flux ratio and substrate temperature on the MnSi layer growth is investigated via XRD and clear boundaries to identify the optimal growth conditions are determined. The nonstoichiometric phases outside of this optimal growth window are identified as HMS and Mn\(_5\)Si\(_3\).
Additionally, a regime at high substrate temperatures and low Mn flux is discovered, where MnSi islands are growing incorporated in a Si layer, which could be interesting for further investigations as a size confinement can change the magnetic phase diagram [DBS+18]. XRD measurements demonstrate the homogeneity of the grown MnSi layers over most of the 3 inch wafer diameter and a small \(\omega\)-FWHM of about 0.02° demonstrates the high quality of the layers. XRD and TEM measurements also show that relaxation of the layers happens via misfit dislocations at the interface to the substrate.
The second part of the thesis is concerned with the crystal chirality. Here azimuthal \(\phi\)-scans of asymmetric XRD reflections reveal twin domains with a \(\pm\)30° rotation to the substrate. These twin domains seem to consist of left and right-handed MnSi, which are connected by a mirror operation at the \((\bar{1}10)\) plane. For some of the asymmetric XRD reflections this results in different intensities for the different twin domains, which reveals that one of the domains is rotated +30° and the other is rotated -30°. From XRD and TEM measurements an equal volume fraction of both domains is deduced. Different mechanisms to suppress these twin domains are investigated and successfully achieved with the growth on chiral Si surfaces, namely Si\((321)\) and Si\((531)\). Azimuthal \(\phi\)-scans of asymmetric XRD reflections demonstrate a suppression of up to 92%. The successful twin suppression is an important step in the use of MnSi for the proposed spintronics applications with skyrmions as information carriers, as discussed in the introduction.
Because of this achievement, the third part of the thesis on the magnetic properties of the MnSi thin films is not only concerned with the principal behavior, but also with the difference between twinned and twin suppressed layers. Magnetometry measurements are used to demonstrate, that the MnSi layers behave principally as expected from the literature. The analysis of saturation and residual magnetization hints to the twin suppression on Si\((321)\) and Si\((531)\) substrates and further investigations with more samples can complete this picture. For comparable layers on Si\((111)\), Si\((321)\) and Si\((531)\) the Curie-Weiss temperature is identical within 1 K and the critical field within 0.1 T.
Temperature dependent magnetoresistivity measurements also demonstrate the expected \(T^2\) behavior not only on Si\((111)\) but also on Si\((321)\) substrates. This demonstrates the successful growth of MnSi on Si\((321)\) and Si\((531)\) substrates. The latter measurements also reveal a residual resistivity of less then half for MnSi on Si\((321)\) in comparison to Si\((111)\). This can be explained with the reduced number of domain boundaries demonstrating the successful suppression of one of the twin domains. The homogeneity of the residual resistivity as well as the charge carrier density over a wide area of the Si\((111)\) wafer is also demonstrated with these measurements as well as Hall effect measurements.
The fourth part shows the AMR and PHE of MnSi depending on the angle between in plane current and magnetic field direction with respect to the crystal direction. This was proposed as a tool to identify skyrmions [YKT+15]. The influence of the higher C\(_{3\mathrm{v}}\) symmetry of the twinned system instead of the C\(_3\) symmetry of a B20 single crystal is demonstrated. The difference could serve as a useful additional tool to prove the twin suppression on the chiral substrates. But this is only possible for rotations with specific symmetry surfaces and not for the studied unsymmetrical Si\((321)\) surface. Measurements for MnSi layers on Si\((111)\) above the critical magnetic field demonstrate the attenuation of AMR and PHE parameters for increasing resistivity, as expected from literature [WC67]. Even if a direct comparison to the parameters on Si\((321)\) is not possible, the higher values of the parameters on Si\((321)\) can be explained considering the reduced charge carrier scattering from domain boundaries. Below the critical magnetic field, which would be the region where a skyrmion lattice could be expected, magnetic hysteresis complicates the analysis. Only one phase transition at the critical magnetic field can be clearly observed, which leaves the existence of a skyrmion lattice in thin epitaxial MnSi layers open.
The best method to solve this question seems to be a more direct approach in the form of Lorentz-TEM, which was also successfully used to visualize the skyrmion lattice for thin plates of bulk MnSi [TYY+12]. For the detection of in plane skyrmions, lamellas would have to be prepared for a side view, which seems in principle possible.
The demonstrated successful twin suppression for MnSi on Si\((321)\) and Si\((531)\) substrates may also be applied to other material systems.
Suppressing the twinning in FeGe on Si\((111)\) would lead to a single chirality skyrmion lattice near room temperature [HC12]. This could bring the application of skyrmions as information carriers in spintronics within reach.
Glossary:
MBE Molecular Beam Epitaxy
XRD X-Ray Diffraction
HMS Higher Manganese Silicide
FWHM Full Width Half Maximum
TEM Tunneling Electron Microscopy
AMR Anisotropic MagnetoResistance
PHE Planar Hall Effect
Bibliography:
[IEM+85] M. Ishida, Y. Endoh, S. Mitsuda, Y. Ishikawa, and M. Tanaka. Crystal Chirality and Helicity of the Helical Spin Density Wave in MnSi. II. Polarized Neutron Diffraction. Journal of the Physical Society of Japan, 54(8):2975, 1985.
[DBS+18] B. Das, B. Balasubramanian, R. Skomski, P. Mukherjee, S. R. Valloppilly, G. C. Hadjipanayis, and D. J. Sellmyer. Effect of size confinement on skyrmionic properties of MnSi nanomagnets. Nanoscale, 10(20):9504, 2018.
[YKT+15] T. Yokouchi, N. Kanazawa, A. Tsukazaki, Y. Kozuka, A. Kikkawa, Y. Taguchi, M. Kawasaki, M. Ichikawa, F. Kagawa, and Y. Tokura. Formation of In-plane Skyrmions in Epitaxial MnSi Thin Films as Revealed by Planar Hall Effect. Journal of the Physical Society of Japan, 84(10):104708, 2015.
[WC67] R. H. Walden and R. F. Cotellessa. Magnetoresistance of Nickel-Copper Single-Crystal Thin Films. Journal of Applied Physics, 38(3):1335, 1967.
[TYY+12] A. Tonomura, X. Yu, K. Yanagisawa, T. Matsuda, Y. Onose, N. Kanazawa, H. S. Park, and Y. Tokura. Real-Space Observation of Skyrmion Lattice in Helimagnet MnSi Thin Samples. Nano Letters, 12(3):1673, 2012.
[HC12] S. X. Huang and C. L. Chien. Extended Skyrmion Phase in Epitaxial FeGe(111) Thin Films. Physical Review Letters, 108(26):267201, 2012.
Perovskite oxides are a very versatile material class with a large variety of outstanding physical properties.
A subgroup of these compounds particularly tempting to investigate are oxides involving high-\(Z\) elements, where spin-orbit coupling is expected to give rise to new intriguing phases and potential application-relevant functionalities. This thesis deals with the preparation and characterization of two representatives of high-\(Z\) oxide sample systems based on KTaO\(_3\) and BaBiO\(_3\).
KTaO\(_3\) is a band insulator with an electronic valence configuration of Ta 5\(d\)\(^0\) . It is shown that by pulsed laser deposition of a disordered LaAlO\(_3\) film on the KTaO\(_3\)(001) surface, through the creation of oxygen vacancies, a Ta 5\(d\)\(^{0+\(\delta\)}\) state is obtained in the upmost crystal layers of the substrate. In consequence a quasi two dimensional electron system (q2DES) with large spin-orbit coupling emerges at the heterointerface. Measurements of the Hall effect establish sheet carrier densities in the range of 0.1-1.2 10\(^{14}\) cm\(^2\), which can be controlled by the applied oxygen background pressure during deposition and the LaAlO\(_3\) film thickness. When compared to the prototypical oxide q2DESs based on SrTiO\(_3\) crystals, the investigated system exhibits exceptionally large carrier mobilities of up to 30 cm\(^2\)/Vs (7000 cm\(^2\)/Vs) at room temperature (below 10 K). Through a depth profiling by photoemission spectra of the Ta 4\(f\) core level it is shown that the majority of the Ta 5\(d\)\(^0\) charge carriers, consisting of mobile and localized electrons, is situated within 4 nm from the interface at low temperatures. Furthermore, the momentum-resolved electronic structure of the q2DES \(buried\) underneath the LaAlO\(_3\) film is probed by means of hard X-ray angle-resolved photoelectron spectroscopy. It is inferred that, due to a strong confinement potential of the electrons, the band structure of the system is altered compared to \(n\)-doped bulk KTO. Despite the constraint of the electron movement along one direction, the Fermi surface exhibits a clear three dimensional momentum dependence, which is related to a depth extension of the conduction channels of at least 1 nm.
The second material, BaBiO\(_3\), is a charge-ordered insulator, which has recently been predicted to emerge as a large-gap topological insulator upon \(n\)-doping. This study reports on the thin film growth of pristine BaBiO\(_3\) on Nb:SrTiO\(_3\)(001) substrates by means of pulsed laser deposition. The mechanism is identified that facilitates the development of epitaxial order in the heterostructure despite the presence of an extraordinary large lattice mismatch of 12 %. At the heterointerface, a structurally modified layer of about 1.7 nm thickness is formed that gradually relieves the in-plane strain and serves as the foundation of a relaxed BBO film. The thereupon formed lattice orders laterally in registry with the substrate with the orientation BaBiO\(_3\)(001)||SrTiO\(_3\)(001) by so-called domain matching, where 8 to 9 BaBiO\(_3\) unit cells align with 9 to 10 unit cells of the substrate. Through the optimization of the deposition conditions in regard to the cation stoichiometry and the structural lattice quality, BaBiO\(_3\) thin films with bulk-like electronic properties are obtained, as is inferred from a comparison of valence band spectra with density functional theory calculations. Finally, a spectroscopic survey of BaBiO\(_3\) samples of various thicknesses resolves that a recently discovered film thickness-controlled phase transition in BaBiO\(_3\) thin films can be traced back to the structural and concurrent stoichiometric modifications occuring in the initially formed lattice on top of the SrTiO\(_3\) substrate rather than being purely driven by the smaller spatial extent of the BBO lattice.
Human actions are generally not determined by external stimuli, but by internal goals and by the urge to evoke desired effects in the environment. To reach these effects, humans typically have to act. But at times, deciding not to act can be better suited or even the only way to reach a desired effect. What mental processes are involved when people decide not to act to reach certain effects? From the outside it may seem that nothing remarkable is happening, because no action can be observed. However, I present three studies which disclose the cognitive processes that control nonactions.
The present experiments address situations where people intentionally decide to omit certain actions in order to produce a predictable effect in the environment. These experiments are based on the ideomotor hypothesis, which suggests that bidirectional associations can be formed between actions and the resulting effects. Because of these associations, anticipating the effects can in turn activate the respective action. The results of the present experiments show that associations can be formed between nonactions (i.e., the intentional decision not to act) and the resulting effects. Due to these associations, perceiving the nonaction effects encourages not acting (Exp. 1–3). What is more, planning a nonaction seems to come with an activation of the effects that inevitably follow the nonaction (Exp. 4–5). These results suggest that the ideomotor hypothesis can be expanded to nonactions and that nonactions are cognitively represented in terms of their sensory effects. Furthermore, nonaction effects can elicit a sense of agency (Exp. 6–8). That is, even though people refrain from acting, the resulting nonaction effects are perceived as self-produced effects.
In a nutshell, these findings demonstrate that intentional nonactions include specific mechanisms and processes, which are involved, for instance, in effect anticipation and the sense of agency. This means that, while it may seem that nothing remarkable is happening when people decide not to act, complex processes run on the inside, which are also involved in intentional actions.
This work deals with a class of nonlinear dynamical systems exhibiting both continuous and discrete dynamics, which is called as hybrid dynamical system.
We provide a broader framework of generalized hybrid dynamical systems allowing us to handle issues on modeling, stability and interconnections.
Various sufficient stability conditions are proposed by extensions of direct Lyapunov method.
We also explicitly show Lyapunov formulations of the nonlinear small-gain theorems for interconnected input-to-state stable hybrid dynamical systems.
Applications on modeling and stability of hybrid dynamical systems are given by effective strategies of vaccination programs to control a spread of disease in epidemic systems.
Aim of this thesis was the development of functionalizable hydrogel coatings for melt electrowritten PCL scaffolds and of bioprintable hydrogels for biofabrication.
Hydrogel coatings of melt electrowritten scaffolds enabled to control the surface hydrophilicity, thereby allowing cell-material interaction studies of biofunctionalized scaffolds in minimal protein adhesive environments. For this purpose, a hydrophilic star- shaped crosslinkable polymer was used and the coating conditions were optimized. Moreover, newly developed photosensitive scaffolds facilitated a time and pH independent biofunctionalization.
Bioprintable hydrogels for biofabrication were based on the allyl-functionalization of gelatin (GelAGE) and modified hyaluronic acid-products, to enable hydrogel crosslinking by means of the thiol-ene click chemistry. Optimization of GelAGE hydrogel properties was achieved through an in-depth analysis of the synthesis parameters, varying Ene:SH ratios, different crosslinking molecules and photoinitiators. Homogeneity of thiol-ene crosslinked networks was compared to free radical polymerized hydrogels and the applicability of GelAGE as bioink for extrusion-based bioprinting was investigated. Purely hyaluronic acid-based bioinks were hypothesized to maintain mechanical- and rheological properties, cell viabilities and the processability, upon further decreasing the overall hydrogel polymer and thiol content.
Hydrogel coatings: Highly structured PCL scaffolds were fabricated with MEW and subjected to coatings with six-armed star-shaped crosslinkable polymers (sP(EO-stat-PO)). Crosslinking results from the aqueous induced hydrolysis of reactive isocyanate groups (NCO) of sP(EO-stat-PO) and increased the surface hydrophilicity and provided a platform for biofunctionalizations in minimal protein adhesive environments. Not only the coating procedure was optimized with respect to sP(EO-stat-PO) concentrations and coating durations, instead scaffold pre-treatments were developed, which were fundamental to enhance the final hydrophilicity to completely avoid unspecific protein adsorption on sP(EO-stat-PO) coated scaffolds. The sP(EO-stat-PO) layer thickness of around 100 nm generally allows in vitro studies not only in dependence on the scaffold biofunctionalization but also on the scaffold architecture. The hydrogel coating extent was assessed via an indirect quantification of the NCO-hydrolysis products. Knowledge of NCO-hydrolysis kinetics enabled to achieve a balance of sufficiently coated scaffolds while maintaining the presence of NCO-groups that were exploited for subsequent biofunctionalizations. However, this time and pH dependent biofunctionalization was restricted to small biomolecules. In order to overcome this limitation and to couple high molecular weight biomolecules another reaction route was developed. This route was based on the photolysis of diazirine moieties and enabled a time and pH independent scaffold biofunctionalization with streptavidin and collagen type I. The fibril formation ability of collagen was used to obtain different collagen conformations on the scaffolds and a preliminary in vitro study demonstrated the applicability to investigate cell-material interactions.
The herein developed scaffolds could be applied to gain deeper insights into the fundamentals of cellular sensing. Especially the complexity by which cells sense e.g. collagen remain to be further elucidated. Therefore, different hierarchies of collagen-like conformations could be coupled to the scaffolds, e.g. gelatin or collagen-derived peptide sequences, and the activation of DDR receptors in dependence on the complexity of the coupled substances could be determined. Due to the strong streptavidin-biotin bond, streptavidin functionalized scaffolds could be applied as a versatile platform to allow immobilization of any biotinylated molecules.
Gelatin-based bioinks: First the GelAGE products were synthesized with respect to molecular weight distributions and amino acid composition integrity. A detailed study was conducted with varying molar ratios of reactants and synthesis durations and implied that gelatin degradation was most dominant for high alkaline synthesis conditions with long reaction times. Gelatin possesses multiple functionalizable groups and the predominant functionalization of amine groups was confirmed via different model substances and analyses. Polymer network homogeneity was proven for the GelAGE system compared to free radical polymerized hydrogels with GelMA. A detailed analysis of hydrogel compositions with varying functional group ratios and UV- or Vis-light photoinitiators was executed. The UV-initiator concentration is restricted due to cytotoxicity and potential cellular DNA damages upon UV-irradiation, whereas the more cytocompatible Vis- initiator system enabled mechanical stiffness tuning over a wide range by controlling the photoinitiator concentration at constant Ene:SH ratios and polymer weight percentages. Versatility of the GelAGE bioink for different AM techniques was proved by exploiting the thermo-gelling behavior of differently degraded GelAGE products for stereolithography and extrusion-based printing. Moreover, the viability of cell-laden GelAGE constructs was demonstrated for extrusion-based bioprinting. By applying different multifunctional thiol-macromolecular crosslinkers the mechanical and rheological properties improved concurrently to the processability. Importantly, lower thiol-crosslinker concentrations were required to yield superior mechanical strengths and physico-chemical properties of the hydrogels as compared to the small bis-thiol-crosslinker. Extrusion-based bioprinting with distinct encapsulated cells underlined the need for individual optimization of cell-laden hydrogel formulations.
Not only the viability of encapsulated cells in extrusion-based bioprinted constructs should be assessed, instead other parameters such as cell morphology or production of collagen or glycosaminoglycans should be considered as these represent some of the crucial prerequisites for cartilage Tissue Engineering applications. Moreover, these studies should be expanded to the stereolithographic approach and ultimately the versatility and cytocompatibility of formulations with macromolecular crosslinkers would be of interest. Macromolecular crosslinkers allowed reducing polymer weight percentages and amounts of thiol groups and are thus expected to contribute to increased cytocompatibility, especially in combination with the more cytocompatible Vis-initiator system, which remains to be elucidated.
Hyaluronic acid-based bioinks: Different molecular weight hyaluronic acid (HA) products were synthesized to bear ene- (HAPA) or thiol-functionalities (LHASH) to enable pure HA thiol-ene crosslinked hydrogels. Depending on the molecular weight of modified HA products, polymer weight percentages and Ene:SH ratios, a wide range of mechanical stiffness was covered. However, the manageability of high molecular weight HA (HHAPA) product solutions (HHAPA + LHASH) was restricted to 5.0 wt.-% as a consequence of the high viscosity. Based on the same HA thiol component (LHASH), hybrid hydrogels of HA with GelAGE were compared to pure HA hydrogels. Although the overall polymer weight percentage of HHAPA + LHASH hydrogels was significantly lowered compared to hybrid hydrogels (GelAGE + LHASH), similar mechanical and physico-chemical properties of pure HA hydrogels were determined with maintained Ene:SH ratios. Low viscous low molecular weight HA precursor solutions (LHAPA + LHASH) prevented the applicability for extrusion-based bioprinting, whereas the non-thermoresponsive HHAPA + LHASH system could be bioprinted with only one-fourth of the polymer content of hybrid formulations. The high viscous behavior of HHAPA + LHASH solutions, lower polymer weight percentages, decreased printing pressures and consequently declined shear stress during printing, were hypothesized to contribute to high cell viabilities in extrusion-based bioprinted constructs compared to the hybrid bioink.
The low molecular weight HA precursor formulation (LHAPA + LHASH) was not applicable for extrusion-based printing, but this system has potential for other AM techniques such as stereolithography. Similar to the GelAGE system a more detailed study on the functions of encapsulated cells would be useful to further develop this system. Moreover, the initiation with the Vis-initiator should be conducted.
Inefficient vascularisation of solid tumours leads to the formation of oxygen and nutrient gradients. In order to mimic this specific feature of the tumour microenvironment, a multicellular tumour spheroid (SPH) culture system was used. These experiments were implemented in p53 isogenic colon cancer cell lines (HCT116 p53 +/+ and HCT116 p53-/-) since Tp53 has important regulatory functions in tumour metabolism. First, the characteristics of the cells cultured as monolayers and as spheroids were investigated by using RNA sequencing and metabolomics to compare gene expression and metabolic features of cells grown in different conditions. This analysis showed that certain features of gene expression found in tumours are also present in spheroids but not in monolayer cultures, including reduced proliferation and induction of hypoxia related genes. Moreover, comparison between the different genotypes revealed that the expression of genes involved in cholesterol homeostasis is induced in p53 deficient cells compared to p53 wild type cells and this difference was only detected in spheroids and tumour samples but not in monolayer cultures. In addition, it was established that loss of p53 leads to the induction of enzymes of the mevalonate pathway via activation of the transcription factor SREBP2, resulting in a metabolic rewiring that supports the generation of ubiquinone (coenzyme Q10). An adequate supply of ubiquinone was essential to support mitochondrial electron transport and pyrimidine biosynthesis in p53 deficient cancer cells under conditions of metabolic stress. Moreover, inhibition of the mevalonate pathway using statins selectively induced oxidative stress and apoptosis in p53 deficient colon cancer cells exposed to oxygen and nutrient deprivation. This was caused by ubiquinone being required for electron transfer by dihydroorotate dehydrogenase, an essential enzyme of the pyrimidine nucleotide biosynthesis pathway. Supplementation with exogenous nucleosides relieved the demand for electron transfer and restored viability of p53 deficient cancer cells under metabolic stress. Moreover, the mevalonate pathway was also essential for the synthesis of ubiquinone for nucleotide biosynthesis to support growth of intestinal tumour organoids. Together, these findings highlight the importance of the mevalonate pathway in cancer cells and provide molecular evidence for an enhanced sensitivity towards the inhibition of mitochondrial electron transfer in tumour-like metabolic environments.
The evolutionary conserved Myb-MuvB (MMB) multiprotein complex is a transcriptional master regulator of mitotic gene expression. The MMB subunits B-MYB, FOXM1 as well as target genes of MMB are often overexpressed in different cancer types. Elevated expression of these genes correlates with an advanced tumor state and a poor prognosis for patients. Furthermore, it has been reported that pathways, which are involved in regulating the mitotic machinery are attractive for a potential treatment of cancers harbouring Ras mutations (Luo et al., 2009).
This suggest that the MMB complex could be required for tumorigenesis by mediating overactivity of mitotic genes and that the MMB could be a useful target for lung cancer treatment. However, although MMB has been characterized biochemically, the contribution of MMB to tumorigenesis is largely unknown in particular in vivo.
In this thesis, it was demonstrated that the MMB complex is required for lung tumorigenesis in vivo in a mouse model of non small cell lung cancer. Elevated levels of B-MYB, NUSAP1 or CENPF in advanced tumors as opposed to low levels of these proteins levels in grade 1 or 2 tumors support the possible contribution of MMB to lung tumorigenesis and the oncogenic potential of B-MYB.The tumor growth promoting function of B-MYB was illustrated by a lower fraction of KI-67 positive cells in vivo and a significantly high impairment in proliferation after loss of B-Myb in vitro. Defects in cytokinesis and an abnormal cell cycle profile after loss of B-Myb underscore the impact of B-MYB on proliferation of lung cancer cell lines. The incomplete recombination of B-Myb in murine lung tumors and in the tumor derived primary cell lines illustrates the selection pressure against the complete loss of B-Myb and further demonstrats that B-Myb is a tumor-essential gene. In the last part of this thesis, the contribution of MMB to the proliferation of human lung cancer cells was demonstrated by the RNAi-mediated depletion of B-Myb. Detection of elevated B-MYB levels in human adenocarcinoma and a reduced proliferation, cytokinesis defects and abnormal cell cycle profile after loss of B-MYB in human lung cancer cell lines underlines the potential of B-MYB to serve as a clinical marker.
In recent years many discoveries have been made that reveal a close relation between quantum information and geometry in the context of the AdS/CFT correspondence. In this duality between a conformal quantum field theory (CFT) and a theory of gravity on Anti-de Sitter spaces (AdS) quantum information quantities in CFT are associated with geometric objects in AdS. Subject of this thesis is the examination of this intriguing property of AdS/CFT. We study two central elements of quantum information: subregion complexity -- which is a measure for the effort required to construct a given reduced state -- and the modular Hamiltonian -- which is given by the logarithm of a considered reduced state.
While a clear definition for subregion complexity in terms of unitary gates exists for discrete systems, a rigorous formulation for quantum field theories is not known.
In AdS/CFT, subregion complexity is proposed to be related to certain codimension one regions on the AdS side.
The main focus of this thesis lies on the examination of such candidates for gravitational duals of subregion complexity.
We introduce the concept of \textit{topological complexity}, which considers subregion complexity to be given by the integral over the Ricci scalar of codimension one regions in AdS. The Gauss-Bonnet theorem provides very general expressions for the topological complexity of CFT\(_2\) states dual to global AdS\(_3\), BTZ black holes and conical defects. In particular, our calculations show that the topology of the considered codimension one bulk region plays an essential role for topological complexity.
Moreover, we study holographic subregion complexity (HSRC), which associates the volume of a particular codimension one bulk region with subregion complexity. We derive an explicit field theory expression for the HSRC of vacuum states. The formulation of HSRC in terms of field theory quantities may allow to investigate whether this bulk object indeed provides a concept of subregion complexity on the CFT side. In particular, if this turns out to be the case, our expression for HSRC may be seen as a field theory definition of subregion complexity. We extend our expression to states dual to BTZ black holes and conical defects.
A further focus of this thesis is the modular Hamiltonian of a family of states \(\rho_\lambda\) depending on a continuous parameter \(\lambda\). Here \(\lambda\) may be associated with the energy density or the temperature, for instance.
The importance of the modular Hamiltonian for quantum information is due to its contribution to relative entropy -- one of the very few objects in quantum information with a rigorous definition for quantum field theories.
The first order contribution in \(\tilde{\lambda}=\lambda-\lambda_0\) of the modular Hamiltonian to the relative entropy between \(\rho_\lambda\) and a reference state \(\rho_{\lambda_0}\) is provided by the first law of entanglement. We study under which circumstances higher order contributions in \(\tilde{\lambda}\) are to be expected.
We show that for states reduced to two entangling regions \(A\), \(B\) the modular Hamiltonian of at least one of these regions is expected to provide higher order contributions in \(\tilde{\lambda}\) to the relative entropy if \(A\) and \(B\) saturate the Araki-Lieb inequality. The statement of the Araki-Lieb inequality is that the difference between the entanglement entropies of \(A\) and \(B\) is always smaller or equal to the entanglement entropy of the union of \(A\) and \(B\).
Regions for which this inequality is saturated are referred to as entanglement plateaux. In AdS/CFT the relation between geometry and quantum information provides many examples for entanglement plateaux. We apply our result to several of them, including large intervals for states dual to BTZ black holes and annuli for states dual to black brane geometries.
In the „Position Paper of the Division of Clinical Pharmacy of the German Pharmaceutical Society (DPhG)” clinical pharmacy is defined as the science and practice of the rational use of drugs1, which includes the individualization of drug therapy. Clinical pharmacists therefore need a profound knowledge of the pharmacokinetic properties of relevant drugs, and clinical factors that are influencing these properties.
Against the background of individualizing drug therapy, pharmacokinetic and clinical factors are studied in this thesis.
In order to obtain an overview of the existing data on the pharmacokinetics of imipenem / cilastatin and meropenem in critically ill patients, a literature review for each of these carbapenem antibiotics was performed. These reviews included studies in critically ill patients as well as studies in healthy volunteers. While the reported results of studies in healthy volunteers had a small variability, studies in critically ill patients show significant differences in the resulting pharmacokinetics. These differences were not only between, but also within these studies, resulting in a high variability of the pharmacokinetic parameters of the carbapenems in critically ill patients. Furthermore, the results of studies in critically ill patients indicate that clinical factors and in particular renal function have different effects on the pharmacokinetics of imipenem and cilastatin.
A therapeutic drug monitoring (TDM) program for antibiotics was initiated in an intensive care unit. The calculation of the pharmacokinetics of imipenem / cilastatin and meropenem was carried out with a population pharmacokinetic approach (POP-PK) and in addition with a non-compartmental approach (NCA).
The POP-PK analysis showed that the pharmacokinetics of imipenem and cilastatin could be described adequately with a 1-compartment model. The resulting mean total body clearance (CL) of imipenem and cilastatin was 11.6 L/h (4.24 to 27.5) and 6.14 L/h (0.520 to 26.6 L/h). The nonrenal clearance was estimated to be 5.30 L / h (24.9% CV) for imipenem and 0.138 L / h (33.3% CV) for cilastatin.
The results of the NCA were in good agreement with the results of the POP-PK approach, as the NCA resulted in an imipenem clearance of 15.5 ± 7.3 L / hr and cilastatin clearance of 10.1 ± 9.9 L / h. The individual clearances resulting from the different pharmacokinetic approaches were in good correlation showing correlation coefficients (r) of 0.882 (p <0.001) and 0.908 (p <0.001) for imipenem and cilastatin.
In summary, this study identified and quantified significant differences between the individual clearance mechanisms of imipenem and cilastatin. This is particularly true for patients with impaired renal function and sepsis. As imipenem / cilastatin is only available in a fixed dose combination, those patients might be treated inadequately with this combination. The great variability in the pharmacokinetics of imipenem and cilastatin in septic patients underscores the importance of a TDM program of both substances.
For meropenem, a PK/PD model was developed that predicts the concentration gradients of meropenem, serum creatinine, C-reactive protein and procalcitonin simultaneously. A non-linear relationship between the clearance of creatinine and meropenem was identified and the resulting equation for the calculation of the total body clearance of meropenem (for a 70 kg patient) was: 0.480 L/h + 9.86 L/h. (CLCR/6L/h)0.593, with 0.480 L/h representing the nonrenal clearance of meropenem.
The resulting mean meropenem clearance of the NCA was 11.9 ± 8.7 L/h. The individual clearances resulting from the different pharmacokinetic approaches were poorly correlated showing a correlation coefficient (r) of 0.502 (p <0.001).
In summary, this study showed a non-linear relationship of meropenem clearance and creatinine clearance. The model shows that the renal function may change rapidly and to a significant extent in patients with sepsis and septic shock, which in turn, underscores that creatinine concentrations are not in steady state in these patients. Conversely, dose adjustment based on creatinine values might lead to inappropriate therapy. This underlines the importance of a TDM program for meropenem in critically ill patients.
The two most important considerations when choosing an antibiotic for the prophylaxis of postoperative bone infections are its activity against the whole spectrum of bacteria, which might be involved in bone infections, and its ability to penetrate bone tissue and thus to achieve concentrations above the minimum inhibitory concentration (MIC) of the corresponding pathogens.
In order to gain information on this data, a study was conducted which investigated the pharmacokinetics of ampicillin / sulbactam in plasma, cortical and cancellous bone. Pharmacokinetic parameters in plasma were determined using NCA. The bone penetration represents the ratio of the concentration in the bone tissue to plasma concentration at the time of bone removal. The resulting half-life of ampicillin and sulbactam in plasma was 1.60 0.37 h and 1.70 0.42 h. The elimination of both substances was in a good correlation with creatinine clearance and resulted in correlation coefficients (r) of 0.729 (p = 0.003) for ampicillin and 0.699 (p = 0.005) for sulbactam. The mean clearance and the mean volume of distribution of ampicillin and sulbactam were 10.7 3.9 and 10.3 3.3 L/h, and 23.9 7.9 and 24.3 6.8 L. The mean concentrations of ampicillin in the cortical and cancellous bone were 6.60 4.22 and 10.15 7.40 µg/g, resulting in bone penetration ratios of 9.1 5.7 and 16.2 16.9 %. For sulbactam the corresponding concentrations were 3.91 2.52 and 5.73 4.20 µg/g, resulting in bone penetration ratios of 10.6 6.3 and 17.5 16.1 %.
In summary, this study shows that the bone penetration of both substances is on average rather unsatisfactory and has a high variability, which can lead to inadequate bone concentrations for the prophylaxis of bone infections. One factor that could be identified for the penetration of both substances into cancellous bone was the period between the application of the drug and the removal of the bone. Therefore, a time interval between the administration of the antibiotic and the incision should be considered.
Immunosuppression is a risk factor for the development of various malignancies, including hematologic diseases. While the relationship between the use of immunosuppressive therapy with methotrexate and the development of an Epstein-Barr virus (EBV) associated lymphoproliferative disease (LPD) has been well established, this connection is less evident for immunosuppressive therapy with azathioprine.
The patient presented by us was immunosuppressed with azathioprine for autoimmune hepatitis. The development of an EBV-associated Hodgkin-like lymphoma under this immunosuppressive therapy and especially the regression of the lymphoma after cessation of azathioprine confirms the relationship between this immunosuppressant, EBV-infection and the development of Hodgkin-like lymphoma. Therefore, albeit in rare cases, azathioprine-related lymphomas may respond to mere cessation of immunosuppressive therapy without need for chemotherapy.
Apart from viral infections, drugs are a major cause of acute liver failure. Due to the lack of specific symptoms or tests, it is difficult to diagnose a drug-induced liver injury. We report a case of a young patient in whom different antibiotics, the analgesic and antipyretic acetaminophen or a combination of these drugs may have led to DILI resulting in life-threatening ALF. Based on this case report, we describe a procedure to exclude non-drug related causes and discuss the hepatotoxic potential of the involved drugs in this case.
Bacterial meningitis occurs when blood-borne bacteria are able to penetrate highly specialized brain endothelial cells (BECs) and gain access to the meninges. Neisseria meningitidis (Nm) is a human-exclusive pathogen for which suitable in vitro models are severely lacking. Until recently, modeling BEC-Nm interactions has been almost exclusively limited to immortalized human cells that lack proper BEC phenotypes. Specifically, these in vitro models lack barrier properties, and continuous tight junctions. Alternatively, humanized mice have been used, but these must rely on known interactions and have limited translatability. This motivates the need to establish novel human-based in vitro BEC models that have barrier phenotypes to research Nm-BEC interactions. Recently, a human induced pluripotent stem cell (iPSC) model of BECs has been developed that possesses superior BEC phenotypes and closely mimics the in vivo blood vessels present at the blood-meningeal barrier.
Here, iPSC-BECs were tested as a novel cellular model to study Nm-host pathogen interactions, with focus on host responses to Nm infection. Two wild type strains and three mutant strains of Nm were used to confirm that these followed similar phenotypes to previously described models. Importantly, the recruitment of the recently published pilus adhesin receptor CD147 underneath meningococcal microcolonies could be verified in iPSC-BECs. Nm was also observed to significantly increase the expression of pro-inflammatory and neutrophil-specific chemokines IL6, CXCL1, CXCL2, CXCL8, and CCL20, at distinct time points of infection, and the secretion of IFN γ and RANTES by iPSC-BECs. Nm was directly observed to disrupt tight junction proteins ZO-1, Occludin, and Claudin-5 at late time points of infection, which became frayed and/or discontinuous upon infection. This destruction is preceded by, and might be dependent on, SNAI1 activation (a transcriptional repressor of tight junction proteins). In accordance with tight junction loss, a sharp loss in trans-endothelial electrical resistance, and an increase in sodium fluorescein permeability was observed at late infection time points. Notably, bacterial transmigration correlated with junctional disruption, indicating that the paracellular route contributes for bacterial crossing of BECs. Finally, RNA-Sequencing (RNA-Seq) of sorted, infected iPSC-BECs was established through the use of fluorescence-activated cell sorting (FACS) techniques following infection. This allowed the detection of expression data of Nm-responsive host genes not previously described thus far to play a role during meningitidis.
In conclusion, here the utility of iPSC-BECs in vitro to study Nm infection could be demonstrated. This is the first BEC in vitro model to express all major BEC tight junctions and to display high barrier potential. Altogether, here this model provides novel insights into Nm pathogenesis, including an impact of Nm on barrier properties and tight junction complexes and suggests that the paracellular route contributes to Nm traversal of BECs.
The field of human-computer interaction (HCI) strives for innovative user interfaces. Innovative and novel user interfaces are a challenge for a growing population of older users and endanger older adults to be excluded from an increasingly digital world. This is because older adults often have lower cognitive abilities and little prior experiences with technology.
This thesis aims at resolving the tension between innovation and age-inclusiveness by developing user interfaces that can be used regardless of cognitive abilities and technology-dependent prior knowledge.
The method of image-schematic metaphors holds promises for innovative and age-inclusive interaction design. Image-schematic metaphors represent a form of technology-independent prior knowledge. They reveal basic mental models and can be gathered in language (e.g. bank account is container from "I put money into my bank account").
Based on a discussion of previous applications of image-schematic metaphors in HCI, the present work derives three empirical research questions regarding image-schematic metaphors for innovative and age-inclusive interaction design.
The first research question addresses the yet untested assumption that younger and older adults overlap in their technology-independent prior knowledge and, therefore, their usage of image-schematic metaphors. In study 1, a total of 41 participants described abstract concepts from the domains of online banking and everyday life. In study 2, ten contextual interviews were conducted. In both studies, younger and older adults showed a substantial overlap of 70% to 75%, indicating that also their mental models overlap substantially.
The second research question addresses the applicability and potential of image-schematic metaphors for innovative design from the perspective of designers. In study 3, 18 student design teams completed an ideation process with either an affinity diagram as the industry standard, image-schematic metaphors or both methods in combination and created paper prototypes. The image-schematic metaphor method alone, but not the combination of both methods, was readily adopted and applied just as a well as the more familiar standard method.
In study 4, professional interaction designers created prototypes either with or without image-schematic metaphors. In both studies, the method of image-schematic metaphors was perceived as applicable and creativity stimulating.
The third research question addresses whether designs that explicitly follow image-schematic metaphors are more innovative and age-inclusive regarding differences in cognitive abilities and prior technological knowledge. In two experimental studies (study 5 and 6) involving a total of 54 younger and 53 older adults, prototypes that were designed with image-schematic metaphors were perceived as more innovative compared to those who were designed without image-schematic metaphors. Moreover, the impact of prior technological knowledge on interaction was reduced for prototypes that had been designed with image-schematic metaphors. However, participants' cognitive abilities and age still influenced the interaction significantly.
The present work provides empirical as well as methodological findings that can help to promote the method of image-schematic metaphors in interaction design. As a result of these studies it can be concluded that the image-schematic metaphors are an applicable and effective method for innovative user interfaces that can be used regardless of prior technological knowledge.
Viral infections induce a significant impact on various functional categories of biological processes in the host. The understanding of this complex modification of the infected host immune system requires a global and detailed overview on the infection process. Therefore it is essential to apply a powerful approach which identifies the involved components conferring the capacity to recognize and respond to specific pathogens, which in general are defeated in so-called compatible virus-plant infections. Comparative and integrated systems biology of plant-virus interaction progression may open a novel framework for a systemic picture on the modulation of plant immunity during different infections and understanding pathogenesis mechanisms. In this thesis these approaches were applied to study plant-virus infections during two main viral pathogens of cassava: Cassava brown streak virus and African cassava mosaic virus.
Here, the infection process was reconstructed by a combination of omics data-based analyses and metabolic network modelling, to understand the major metabolic pathways and elements underlying viral infection responses in different time series, as well as the flux activity distribution to gain more insights into the metabolic flow and mechanism of regulation; this resulted in simultaneous investigations on a broad spectrum of changes in several levels including the gene expression, primary metabolites, and enzymatic flux associated with the characteristic disease development process induced in Nicotiana benthamiana plants due to infection with CBSV or ACMV.
Firstly, the transcriptome dynamics of the infected plant was analysed by using mRNA-sequencing, in order to investigate the differential expression profile according the symptom developmental stage. The spreading pattern and different levels of biological functions of these genes were analysed associated with the infection stage and virus entity. A next step was the Real-Time expression modification of selected key pathway genes followed by their linear regression model. Subsequently, the functional loss of regulatory genes which trigger R-mediated resistance was observed. Substantial differences were observed between infected mutants/transgenic lines and wild-types and characterized in detail. In addition, we detected a massive localized accumulation of ROS and quantified the scavenging genes expression in the infected wild-type plants relative to mock infected controls.
Moreover, we found coordinated regulated metabolites in response to viral infection measured by using LC-MS/MS and HPLC-UV-MS. This includes the profile of the phytohormones, carbohydrates, amino acids, and phenolics at different time points of infection with the RNA and DNA viruses. This was influenced by differentially regulated enzymatic activities along the salicylate, jasmonate, and chorismate biosynthesis, glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways, as well as photosynthesis, photorespiration, transporting, amino acid and fatty acid biosynthesis. We calculated the flux redistribution considering a gradient of modulation for enzymes along different infection stages, ranging from pre-symptoms towards infection stability.
Collectively, our reverse-engineering study consisting of the generation of experimental data and modelling supports the general insight with comparative and integrated systems biology into a model plant-virus interaction system. We refine the cross talk between transcriptome modification, metabolites modulation and enzymatic flux redistribution during compatible infection progression. The results highlight the global alteration in a susceptible host, correlation between symptoms severity and the alteration level. In addition we identify the detailed corresponding general and specific responses to RNA and DNA viruses at different stages of infection. To sum up, all the findings in this study strengthen the necessity of considering the timing of treatment, which greatly affects plant defence against viral infection, and might result in more efficient or combined targeting of a wider range of plant pathogens.
Telemedicine uses telecommunication and information technology to provide health care services over spatial distances. In the upcoming demographic changes towards an older average population age, especially rural areas suffer from a decreasing doctor to patient ratio as well as a limited amount of available medical specialists in acceptable distance. These areas could benefit the most from telemedicine applications as they are known to improve access to medical services, medical expertise and can also help to mitigate critical or emergency situations. Although the possibilities of telemedicine applications exist in the entire range of healthcare, current systems focus on one specific disease while using dedicated hardware to connect the patient with the supervising telemedicine center.
This thesis describes the development of a telemedical system which follows a new generic design approach. This bridges the gap of existing approaches that only tackle one specific application. The proposed system on the contrary aims at supporting as many diseases and use cases as possible by taking all the stakeholders into account at the same time. To address the usability and acceptance of the system it is designed to use standardized hardware like commercial medical sensors and smartphones for collecting medical data of the patients and transmitting them to the telemedical center. The smartphone can also act as interface to the patient for health questionnaires or feedback.
The system can handle the collection and transport of medical data, analysis and visualization of the data as well as providing a real time communication with video and audio between the users.
On top of the generic telemedical framework the issue of scalability is addressed by integrating a rule-based analysis tool for the medical data. Rules can be easily created by medical personnel via a visual editor and can be personalized for each patient. The rule-based analysis tool is extended by multiple options for visualization of the data, mechanisms to handle complex rules and options for performing actions like raising alarms or sending automated messages.
It is sometimes hard for the medical experts to formulate their knowledge into rules and there may be information in the medical data that is not yet known. This is why a machine learning module was integrated into the system. It uses the incoming medical data of the patients to learn new rules that are then presented to the medical personnel for inspection. This is in line with European legislation where the human still needs to be in charge of such decisions.
Overall, we were able to show the benefit of the generic approach by evaluating it in three completely different medical use cases derived from specific application needs: monitoring of COPD (chronic obstructive pulmonary disease) patients, support of patients performing dialysis at home and councils of intensive-care experts. In addition the system was used for a non-medical use case: monitoring and optimization of industrial machines and robots. In all of the mentioned cases, we were able to prove the robustness of the generic approach with real users of the corresponding domain. This is why we can propose this approach for future development of telemedical systems.
The etiology of anxiety disorders is multifactorial with contributions from both
genetic and environmental factors. Several susceptibility genes of anxiety disorders or
anxiety-related intermediate phenotypes have been identified, including the
serotonin transporter gene (5-HTT) and the neuropeptide S receptor gene (NPSR1),
which have been shown to modulate responses to distal and acute stress experiences.
For instance, gene-environment interaction (GxE) studies have provided evidence
that both 5-HTT and NPSR1 interact with environmental stress, particularly
traumatic experiences during childhood, in the moderation of anxiety traits, and
both 5-HTT and NPSR1 have been implicated in hypothalamic-pituitary-adrenal
(HPA) axis reactivity – an intermediate phenotype of mental disorders – in response
to acute stress exposure. The first part of this thesis aimed to address the interplay of
variations in both 5-HTT and NPSR1 genes and distal stress experiences, i.e.
childhood trauma, in the moderation of anxiety-related traits, extended by
investigation of the potentially protective effect of positive influences, i.e. elements of
successful coping such as general self-efficacy (GSE), on a GxE risk constellation by
introducing GSE as an indicator of coping ability (“C”) as an additional dimension in
a GxExC approach conferring – or buffering – vulnerability to anxiety. Increased
anxiety was observed in 5-HTTLPR/rs25531 LALA genotype and NSPR1 rs324981 AA
genotype carriers, respectively, with a history of childhood maltreatment but only in
the absence of a person’s ability to cope with adversity, whereas a dose-dependent
effect on anxiety traits as a function of maltreatment experiences irrespective of
coping characteristics was observed in the presence of at least one 5-HTT S/LG or
NSPR1 T allele, respectively. The second part of this thesis addressed the respective
impact of 5-HTT and NPSR1 variants on the neuroendocrine, i.e. salivary cortisol
response to acute psychosocial stress by applying the Maastricht Acute Stress Test
(MAST). A direct effect of NPSR1 – but not 5-HTT – on the modulation of acute
stress reactivity could be discerned, with carriers of the more active NPSR1 T allele
Summary
III
displaying significantly higher overall salivary cortisol levels in response to the MAST
compared to AA genotype carriers.
In summary, study 1 observed a moderating effect of GSE in interaction with
childhood maltreatment and 5-HTT and NPSR1, respectively, in an extended GxExC
model of anxiety risk, which may serve to inform targeted preventive interventions
mitigating GxE risk constellations and to improve therapeutic interventions by
strengthening coping ability as a protective mechanism to promote resilient
functioning. In study 2, a modulation of HPA axis function, considered to be an
endophenotype of stress-related mental disorders, by NPSR1 gene variation could be
discerned, suggesting neuroendocrine stress reactivity as an important potential
intermediate phenotype of anxiety given findings linking NPSR1 to dimensional and
categorical anxiety. Results from both studies may converge within the framework of
a multi-level model of anxiety risk, integrating neurobiological, neuroendocrine,
environmental, and psychological factors that act together in a highly complex
manner towards increasing or decreasing anxiety risk.
Due to their complex chemical structure transition metal oxides display many fascinating properties which conventional semiconductors lack.
For this reason transition metal oxides hold a lot of promise for novel electronic functionalities.
Just as in conventional semiconductor heterostructures, the interfaces between different materials play a key role in oxide electronics.
The textbook example is the (001) interface between the band insulators LaAlO\(_3\) and SrTiO\(_3\) at which a two-dimensional electron system (2DES) forms.
In order to utilize such a 2DES in prospective electronic devices, it is vital that the electronic properties of the interface can be controlled and manipulated at will.
Employing photoelectron spectroscopy as well as electronic transport measurements, this thesis examines how such interface engineering can be realized in the case of the LaAlO\(_3\)/SrTiO\(_3\) heterostructure:
By photoemission we manage to unambiguously distinguish the different mechanisms by which SrTiO\(_3\) can be doped with electrons.
An electronic reconstruction is identified as the driving mechanism to render stoichiometric LaAlO\(_3\)/SrTiO\(_3\) interfaces metallic.
The doping of the LaAlO\(_3\)/SrTiO\(_3\) heterointerface can furthermore be finely adjusted by changing the oxygen vacancy \(V_{\mathrm{O}}\) concentration in the heterostructure.
Combining intense x-ray irradiation with oxygen dosing, we even achieve control over the \(V_{\mathrm{O}}\) concentration and, consequently, the doping in the photoemission experiment itself.
Exploiting this method, we investigate how the band diagram of SrTiO\(_3\)-based heterostructures changes as a function of the \(V_{\mathrm{O}}\) concentration and temperature by hard x-ray photoemission spectroscopy.
With the band bending in the SrTiO\(_3\) substrate changing as a function of the \(V_{\mathrm{O}}\) concentration, the interfacial band alignment is found to vary as well.
The relative permittivity of the SrTiO\(_3\) substrate and, in particular, its dependence on temperature and electric field is identified as one of the essential parameters determining the electronic interface properties.
That is also why the sample temperature affects the charge carrier distribution.
The mobile charge carriers are shown to shift toward the SrTiO\(_3\) bulk when the sample temperature is lowered.
This effect is, however, only pronounced if the total charge carrier concentration is small.
At high charge carrier concentrations the charge carriers are always confined to the interface, independent of the sample temperature.
The dependence of the electronic interface properties on the \(V_{\mathrm{O}}\) concentration is also investigated by a complementary method, viz. by electronic transport measurements.
These experiments confirm that the mobile charge carrier concentration increases concomitantly to the \(V_{\mathrm{O}}\) concentration.
The mobility of the charge carriers changes as well depending on the \(V_{\mathrm{O}}\) concentration.
Comparing spectroscopy and transport results, we are able to draw conclusions about the processes limiting the mobility in electronic transport.
We furthermore build a memristor device from our LaAlO\(_3\)/SrTiO\(_3\) heterostructures and demonstrate how interface engineering is used in practice in such novel electronic applications.
This thesis furthermore investigates how the electronic structure of the 2DES is affected by the interface topology:
We show that, akin to the (001) LaAlO\(_3\)/SrTiO\(_3\) heterointerface, an electronic reconstruction also renders the (111) interface between LaAlO\(_3\) and SrTiO\(_3\) metallic.
The change in interface topology becomes evident in the Fermi surface of the buried 2DES which is probed by soft x-ray photoemission.
Based on the asymmetry in the Fermi surface, we estimate the extension of the conductive layer in the (111)-oriented LaAlO\(_3\)/SrTiO\(_3\) heterostructure.
The spectral function measured furthermore identifies the charge carriers at the interface as large polarons.
This dissertation employs gauge/gravity duality to investigate features
of ( 2 + 1 ) -dimensional quantum gravity in Anti-de Sitter space (AdS)
and its relation to conformal field theory (CFT) in 1 + 1 dimensions.
Concretely, we contribute to research on the frontier of gauge/gravity
with condensed matter as well as the frontier with quantum informa-
tion.
The first research topic of this thesis is motivated by the Kondo
model, which describes the screening of magnetic impurities in metals
by conduction electrons at low temperatures. This process has a de-
scription in the language of string theory via fluctuating surfaces in
spacetime, called branes. At high temperatures the unscreened Kondo
impurity is modelled by a stack of pointlike branes. At low tempera-
tures this stack condenses into a single spherical, two-dimensional brane
which embodies the screened impurity.
This thesis demonstrates how this condensation process is naturally
reinvoked in the holographic D1/D5 system. We find brane configu-
rations mimicking the Kondo impurities at high and low energies and
establish the corresponding brane condensation, where the brane grows
two additional dimensions. We construct supergravity solutions, which
fully take into account the effect of the brane on its surrounding space-
time before and after the condensation takes place. This enables us
to compute the full impurity entropies through which we confirm the
validity of the g-theorem.
The second research topic is rooted in the connection of geometry
with quantum information. The motivation stems from the “complexity
equals volume” proposal, which relates the volume of wormholes to
the cicruit complexity of a thermal quantum state. We approach this
proposal from a pragmatic point of view by studying the properties of
certain volumes in gravity and their description in the CFT.
We study subregion complexities, which are the volumes of the re-
gions subtended by Ryu-Takayanagi (RT) geodesics. On the gravity
side we reveal their topological properties in the vacuum and in ther-
mal states, where they turn out to be temperature independent. On the
field theory side we develop and proof a formula using kinematic space
which computes subregion complexities without referencing the bulk.
We apply our formula to global AdS 3 , the conical defect and a black
hole. While entanglement, i.e. minimal boundary anchored geodesics,
suffices to produce vacuum geometries, for the conical defect we also
need geodesics windings non-trivially around the singularity. The black
hole geometry requires additional thermal contributions.
In mammals, anucleate platelets circulate in the blood flow and are primarily responsible for maintaining functional hemostasis. Platelets are generated in the bone marrow (BM) by megakaryocytes (MKs), which mainly reside directly next to the BM sinusoids to release proplatelets into the blood. MKs originate from hematopoietic stem cells and are thought to migrate from the endosteal to the vascular niche during their maturation, a process, which is, despite being intensively investigated, still not fully understood.
Long-term intravital two photon microscopy (2PM) of MKs and vasculature in murine bone marrow was performed and mean squared displacement analysis of cell migration was performed. The MKs exhibited no migration, but wobbling-like movement on time scales of 3 h. Directed cell migration always results in non-random spatial distribution. Thus, a computational modelling algorithm simulating random MK distribution using real 3D light-sheet fluorescence microscopy data sets was developed. Direct comparison of real and simulated random MK distributions showed, that MKs exhibit a strong bias to vessel-contact. However, this bias is not caused by cell migration, as non-vessel-associated MKs were randomly distributed in the intervascular space. Furthermore, simulation studies revealed that MKs strongly impair migration of other cells in the bone marrow by acting as large-sized obstacles. MKs are thought to migrate from the regions close to the endosteum towards the vasculature during their maturation process. MK distribution as a function of their localization relative to the endosteal regions of the bones was investigated by light sheet fluorescence microscopy (LSFM). The results show no bone-region dependent distribution of MKs. Taken together, the newly established methods and obtained results refute the model of MK migration during their maturation.
Ischemia reperfusion (I/R) injury is a frequent complication of cerebral ischemic stroke, where brain tissue damage occurs despite successful recanalization. Platelets, endothelial cells and immune cells have been demonstrated to affect the progression of I/R injury in experimental mouse models 24 h after recanalization. However, the underlying Pathomechanisms, especially in the first hours after recanalization, are poorly understood.
Here, LSFM, 2PM and complemental advanced image analysis workflows were established for investigation of platelets, the vasculature and neutrophils in ischemic brains. Quantitative analysis of thrombus formation in the ipsilateral and contralateral hemispheres at different time points revealed that platelet aggregate formation is minimal during the first 8 h after recanalization and occurs in both hemispheres. Considering that maximal tissue damage already is present at this time point, it can be concluded that infarct progression and neurological damage do not result from platelet aggregated formation. Furthermore, LSFM allowed to confirm neutrophil infiltration into the infarcted hemisphere and, here, the levels of endothelial cell marker PECAM1 were strongly reduced. However, further investigations must be carried out to clearly identify the role of neutrophils and the endothelial cells in I/R injury.
Herein described are the isolation, structural elucidation, and biological evaluation of highly thrilling monomeric and dimeric new naphthylisoquinoline alkaloids from A. ealaensis. The separation, chiral resolution, and characterization of a series of stereoisomeric 2,3-dihydrobenzofuran neolignans are also reported. The analytical and phytochemical analysis on two Congolese antimalarial herbal drugs is part of the last chapter of the results. In this last case, major concerns on widely used Congolese herbal drugs are discussed.
The indepth metabolic profiling of the crude extracts of two African Ancistrocladus species viz. A. likoko from Central Africa and A. abbreviatus from West Africa, resulted in a total of 87 alkaloids among them 54 new ones. All of the compounds were intensely elucidated by 1D and 2D NMR, HRESIMS, as well as chemical and chiroptical techniques.
Among the newly discovered compounds are quinoid naphthylisoquinolines with an ortho-diketone in the naphthalene portion, nor-naphthylisoquinoline alkaloid lacking the always present methyl group at C-1, seco-(ring cleaved) naphthylisoquinolines, and a newly discovered class of natural products called the naphthylisoindolinones.
Some of the compounds displayed strong antitumoral activities against human pancreatic cancer cells and leukemia cells in-vitro.
Lattice dynamics and spin-phonon coupling in the multiferroic oxides Eu(1-x)Ho(x)MnO3 and ACrO2
(2019)
The focus of this thesis is the investigation of the lattice dynamics and the coupling of magnetism and phonons in two different multiferroic model systems. The first system, which constitutes the main part in this work is the system of multiferroic manganites RMnO$_{3}$, in particular Eu$_{1-x}$Ho$_{x}$MnO$_{3}$ with $0 \le x \le 0.5$. Its cycloidal spin arrangement leads to the emergence of the ferroelectric polarization via the inverse Dzyaloshinskii-Moriya interaction. This system is special among RMnO$_{3}$ as with increasing Ho content $x$, Eu$_{1-x}$Ho$_{x}$MnO$_{3}$ does not only become multiferroic, but due to the exchange interaction with the magnetic Ho-ion, the spin cycloid (and with it the electric polarization) is also flipped for higher Ho contents. This makes it one of the first compounds, where the cycloidal reorientation happens spontaneously, rather than with the application of external fields.
On the other hand, there is the delafossite ACrO$_{2}$ system. Here, due to symmetry reasons, the spin-spiral pattern can not induce the polarization according to the inverse Dzyaloshinskii-Moriya interaction mechanism. Instead, it is thought that another way of magnetoelectric coupling is involved, which affects the charge distribution in the $d-p$ hybridized orbitals of the bonds.
The lattice vibrations as well as the quasi-particle of the multiferroic phase, the electromagnon, are studied by Raman spectroscopy. Lattice vibrations like the B$_{3g}$(1) mode, which involves vibrations of the Mn-O-Mn bonds modulate the exchange interaction and serve as a powerful tool for the investigation of magnetic correlations effects with high frequency accuracy. Raman spectroscopy acts as a local probe as even local magnetic correlations directly affect the phonon vibration frequency, revealing coupling effects onto the lattice dynamics even in the absence of global magnetic order. By varying the temperature, the coupling is investigated and unveils a renormalization of the phonon frequency as the magnetic order develops. For Eu$_{1-x}$Ho$_{x}$MnO$_{3}$, the analysis of this spin-induced phonon frequency renormalization enables the quantitative determination of the in-plane spin-phonon coupling strengths. This formalism, introduced by Granado et al., is extended here to evaluate the out-of-plane coupling strengths, which is enabled by the identification of a previously elusive feature as a vibrational mode. The complete picture is obtained by studying the lattice- and electromagnon dynamics in the magnetic field.
Further emphasis is put towards the development of the cycloidal spin structure and correlations with temperature. A new model of describing the temperature-dependent behavior of said spin correlations is proposed and can consistently explain ordering phenomena which were until now unaddressed. The results are underscored with Monte Carlo based simulations of the spin dynamics with varying temperature.
Furthermore, a novel effect of a tentative violation of the Raman selection rules in Eu$_{1-x}$Ho$_{x}$MnO$_{3}$ was discovered. While the phonon modes can be separated and identified by their symmetry by choosing appropriate polarization configurations, in a very narrow temperature range, Eu$_{1-x}$Ho$_{x}$MnO$_{3}$ shows an increase of phonon intensities in polarization configurations where they should be forbidden. This is interpreted as a sign of local disorder, caused by 90° domain walls and could be explained within the model framework.
This course of action is followed with the material system of delafossites ACrO$_{2}$. Being a relatively new class of multiferroic materials, the investigations on ACrO$_{2}$ are also of characterizing nature. For this, shell model calculations are performed as a reference to compare the vibrational frequencies obtained by the Raman experiments to. A renormalization of the vibrational frequencies is observed in this system as well and systematically analyzed across the sample series of \textit{A}=Cu, Pd and Ag. Eventually, the effect of applying an external magnetic field is studied. A particularly interesting feature specific for CuCrO$_{2}$ is a satellite peak which appears at lower temperatures. It is presumably related to a deformation of the lattice and therefore going to be discussed in further detail.
Doping plays a decisive role for the functionality of semiconductor-based (opto-)electronic
devices. Hence, the technological utilization of semiconductors necessitates control and a
fundamental understanding of the doping process. However, for low-dimensional systems like
carbon nanotubes, neither concentration nor distribution of charge carriers is currently well known.
The research presented in this thesis investigated the doping of semiconducting carbon nanotubes by spectroscopic methods. Samples of highly purified, intrinsic (6,5) single-wall carbon nanotubes were fabricated using polymer stabilization.
Chapter 4 showed that both electro- and redox chemical $p$-doping lead to identical bleaching,
blueshift, broadening and asymmetry of the S$_1$ exciton absorption band. The similar spectral changes induced by both doping schemes suggest that optical spectra can not be used to infer what process was used for doping. Perhaps more importantly, it also indicates that the distribution of charges and the character of the charge transfer states does not depend on the method by which doping was achieved.
The detailed analysis of the doping-induced spectral changes in chapter 5 suggests that surplus charges are distributed inhomogeneously. The hypothesis of carrier localization is consistent with the high sensitivity of the S$_1$ exciton photoluminescence to additional charge carriers and with the stretched-exponential decay of the exciton population following ultrafast excitation.
Both aspects are in good agreement with diffusion-limited contact quenching of excitons
at localized charges. Moreover, localized charges act – similar to structural defects – as
perturbations to the bandstructure as evidenced by a doping-induced increase of the D-band
antiresonance in the mid-infrared spectrum.
Quantum mechanical model calculations also suggest that counterions play a crucial role in
carrier localization. Counterion adsorption at the nanotube surface is thus believed to induce charge traps of more than 100 meV depth with a carrier localization length on the order of 3 - 4 nm. The doping-induced bleach of interband absorption is accompanied by an absorption increase in the IR region below 600 meV. The observed shift of the IR peak position indicates a continuous transition from localized to rather delocalized charge carriers. This transition is caused by the increase of the overlap of charge carrier wavefunctions at higher charge densities and was modeled by classical Monte-Carlo simulations of intraband absorption.
Chapter 6 discussed the spectroscopy of heavily (degenerately) doped nanotubes, which are
characterized by a Drude-response of free-carrier intraband absorption in the optical conductivity spectrum. In the NIR spectral region, the S$_1$ exciton and X$+^_1$ trion absorption is replaced by a nearly 1 eV broad and constant absorption signal, the so-called H-band. The linear and transient absorption spectra of heavily doped nanotubes suggest that the H-band can be attributed to free-carrier interband transitions.
Chapter 7 dealt with the quantification of charge carrier densities by linear absorption spectroscopy.
A particularly good measure of the carrier density is the S$_1$ exciton bleach. For a
bleach below about 50 %, the carrier density is proportional to the bleach. At higher doping
levels, deviations from the linear behavior were observed. For doping levels exceeding a
fully bleached S$_1$ band, the determination of the normalized oscillator strength f$\text{1st}$ over the
whole first subband region (trion, exciton, free e-h pairs) is recommended for quantification of carrier densities. Based on the nanotube density of states, the carrier density $n$ can be estimated using $n = 0.74\,\text{nm}^{−1} \cdot (1 − f_\text{1st})$.
In the last part of this thesis (chapter 8), the time-resolved spectroelectrochemistry was
extended to systems beyond photostable carbon nanotube films. The integration of a flowelectrolysis cell into the transient absorption spectrometer allows the investigation of in-situ electrochemically generated but photounstable molecules due to a continuous exchange of sample volume. First time-resolved experiments were successfully performed using the dye
methylene blue and its electrochemically reduced form leucomethylene blue.
Thus, the main focus of this thesis was to generate and investigate new one-dimensional LC PBI J-aggregates of an entirely new PBI organization with the transition dipole moments of the chromophores arranged parallel to the columnar axis and in slipped pi-pi stacking fashion to form highly fluorescent J-aggregates. Towards this goal, the tetra-bay substituted PBI 4c bearing free NH functional groups at the imide positions and four dendrons with branched ethylhexyl alkoxy chains at the meta-position of the phenoxy spacer (Figure 8.1a) was synthesized and compared to a literature known reference PBI 1. The mesogenic dendrons ensure LC character of the dye, which was confirmed by POM, DSC and extensive X-ray analysis. Furthermore, the sterically demanding bay-substituents prevent the cofacial assembly of the chromophores and force the dyes into a slipped pi-stacked order with the main transition dipole moments of the dyes oriented parallel to the columnar axis. X-ray analysis revealed that PBI 4c assembles into columnar triple-stranded helices consisting of side-to-side stacked molecules, which organize into a Colh phase (Figure 8.1b). FT-IR experiments of a thin film and aggregates in MCH solution confirmed the formation of H-bonds between the imide moieties. Temperature-dependent investigations furthermore proved a reversible formation of H-bonds and polarized FT-IR experiments finally gave evidence for the direction of the H-bonds along the shearing respective the columnar axis (Figure 8.1c). This was additionally verified by polarized UV-Vis absorption studies of aligned thin films. The changes in the UV-Vis absorption spectra of concentration- and temperature-dependent experiments in MCH are in agreement with the formation of J-aggregates and could be fitted to a nucleation-elongation growth mechanism. Remarkably, fluorescence spectroscopy studies revealed highly emissive aggregates in solution. These various spectroscopic techniques proved the utilization of directional noncovalent forces like hydrogen-bonding and pi-pi interactions in a cooperative manner forcing the PBI molecules in an unprecedented organization of a slipped pi-stacked arrangement with the orientation of the molecular axis and the respective transition dipole moments parallel to the columns of the LC phase. By the group of Dietrich the formation of exciton-polaritons in imprinted LC pillar microcavities as consequent use of the LC 4c was reported for the first time.In the second part of this thesis the hierarchical organization of LC PBIs into defined single-, double-, triple- and quadruple-stranded J-aggregates within crystalline and columnar LC phases, partially arranged in helical supramolecular structures in dependence of the molecular design was demonstrated. This was achieved via the preparation of a library of twelve molecules PBI 3-6(a-c) (Figure 8.2a) that was synthesized by varying the substitution position of the dendrons at the phenoxy-spacer from ortho to meta or para and by introducing an additional methyl group in ortho-position. Also the length and shape of the alkoxy chains was changed. Consequently, the impact of the sterical demand of the bay substituents concerning their phase properties, molecular arrangement and exciton coupling was investigated. POM, DSC and X-ray studies revealed the formation of only crystalline phase for the ortho-substituted PBIs 3a-c, whereas the other derivatives generated SC or LC phases. The main focus was the series with the n-C12-alkoxy chains. For the corresponding PBIs 4-6b columnar LC phases were confirmed. Retrostructural analysis by modelling and simulations gave indications for a single stranded organization for PBI 3b, a double-stranded helix for PBI 6b, a triple-stranded helical arrangement for PBI 5b and a quadruple-stranded helix for PBI 4b (Figure 8.2b-d). For all four derivatives the same molecular orientation within the columns as for PBI 4c was proven by polarized FT-IR and UV-Vis absorption studies in aligned thin films. The organization in helices of different number of strands in the Cr and LC phases of PBI 3b, 4b, 5b and 6b offered a unique possibility to elucidate the influence of particular packing arrangements on dye aggregate interactions with light. In particular, it can be investigated how exciton coupling of the dyes’ transition dipole moments and fluorescence properties are affected. In this context, the spectroscopic properties were investigated in thin film, which revealed a strong bathochromic shift of the absorption maxima compared to the monomers in solution in dependence on the number of strands for PBIs 4-6b in contrast to PBI 3b (Figure 8.2e). The same tendency was observed for the respective aggregates in MCH solution. The spectral changes obtained during concentration- and temperature-dependent UV-Vis absorption studies verified the formation of J-aggregates in MCH solution and solid state. The respective aggregates are highly likely formed via a nucleation-elongation growth mechanism. Appliance of Kasha’s exciton theory on the supramolecular aggregates revealed different contributions of H- and J-type coupling for the oligo-stranded helices. Under these considerations, it delivered an explanation for the absorption and fluorescence properties of the assemblies and declares the “best” J-aggregate for the double stranded arrangement of PBI 6b with purely negative couplings among neighbour molecules and a quantum yield above 74 % of the aggregates in MCH solution. With this H-bonded PBI-based library approach of twelve derivatives it could be shown how molecular engineering of perylene bisimide dyes can be used to design defined, complex supramolecular assemblies with unprecedented packing patterns and concomitant intriguing spectroscopic properties.
So far, the formation of defined liquid crystalline supramolecular structures of tetra-bay substituted PBIs by double H-bonding between free imide moieties and pi-pi interactions between the chromophores was demonstrated. The impact of the H-bonds on the molecular arrangement was investigated in the next part of this thesis. In this regard, PBIs 7 and 8 bearing a methyl or cyclohexyl group at the imide position (Figure 8.3a) were synthesized and compared to PBI 4c. The soft character of the solid state for PBIs 7 and 8 was confirmed by POM, DSC and X-ray analysis. The X-ray studies further revealed for both PBIs a change of the molecular assembly towards helical columnar structures of conventional pi-stacked chromophores (Figure 8.3b) when the directed H-bonds cannot contribute as noncovalent interactions to the assembly formation. Temperature-dependent UV-Vis absorption studies demonstrated the importance of H-bonding in MCH solution in the way that the formation of J-aggregates as for PBI 4c could not be observed for the imide substituted molecules. In the next step, the spectroscopic properties in thin film were investigated. For PBI 7 a J-type band and fluorescence spectra with an enlarged Stokes shift and increased fluorescence lifetime of 11.4 ns, compared to PBI 4c, was obtained, suggesting the generation of excimer type emission by considering the assumed conventional stacking of rotational displaced molecules from X-ray analysis. With polarized UV-Vis absorption experiments the orientation of the molecules perpendicular to the shearing direction and subsequently to the columnar axis was confirmed. These diverse investigations clearly demonstrated the imperative of H-bonds for stable, defined, LC J-aggregates with the transition dipole moments parallel to the columnar axis. With PBIs 7 and 8 it is impressively shown how small changes in the molecular structure influence the molecular arrangement dependent on the cooperation of non-covalent interactions like H-bonding and pi-pi stacking.
In the last part of this thesis the generation of two-dimensional LC arrangements is presented. Since tetra-bay substituted PBIs lead always to twisted cores preventing lamellar arrangement, here 1,7-disubstitution and the simultaneous retention of the free imide positions was chosen to generate LC lamellar phases of PBIs 9a, 9b and 10 (Figure 8.4a). This molecular design was expected to form planar perylene cores that can strongly interact by pi-pi stacking and H-bonding. POM, DSC and X-ray investigations of the compounds suggest lamellar LC phases for PBIs 9a and 9b and a soft phase for PBI 10. In this regard, the goal of the formation of LC lamellar phase of PBIs could be attained. The change from dendrons with n-C12-alkoxy chains to large fork-like mesogens like in 9b clearly changed the phase properties. PBI 9b exhibits the lowest clearing point, high phase stability, least viscosity, easy shearability at room temperature and phase transitions between lamellar and Colh phases dependent on temperature. The formation of H-bonds parallel to the layers was demonstrated by polarized FT-IR experiments for all three PBIs. Concentration-dependent UV-Vis absorption studies revealed the formation of a J-type aggregate, which seems to exhibit an overall two-dimensional structure. With STM investigations the formation of lamellar structures from drop-casted 9a and 10 solutions in 1-phenyloctane on HOPG surface could be observed. Figure 8.4b illustrates a schematic possible arrangement of the molecules in the layers (here exemplarily demonstrated for PBI 9a), which has to be further confirmed by modelling and simulations. Unfortunately, fluorescence investigations of the thin films revealed non- or only slightly emissive LC states, which make them negligible for photonic applications. Nevertheless, the synthesized and analyzed compounds might be an inspiration for further investigations on the path to two-dimensional exciton transport for photonic devices.
The number of active pharmaceutical ingredients (APIs) exhibiting a low solubility in aqueous media or a slow dissolution rate kept rising over the past years urging formulation scientists to explore new ways to tackle poor solubility and to enable oral absorption from such compounds. Bioavailability of poorly water-soluble compounds can be improved by increasing the dissolution rate and/or by increasing the gastro intestinal concentration through transient supersaturation. The dissolution rate of the API can be typically modified by the choice of the physical form, the polymorphic form, the powder surface area, and the local pH, while a transient supersaturation can be extended mainly by nucleation or crystallization inhibiting effects. In the present thesis, three strategies were explored to tailor the dissolution rate, the supersaturation and the hydrotropic solubilization of APIs, weak bases, respectively.
The first part of this thesis followed a bioinspired approach to extend the kinetic solubility of salts and co-crystals. API salts and co-crystals are high energy forms that can generate supersaturated solutions with respect to any more stable form, typically the most stable API form in physiological environment. The transient kinetic stabilization of supersaturated states, also termed “parachute effect”, is considered to improve bioavailability and is one aspect of the formulation that can be tailored. Inspiration from plants, which store high concentrations of aromatic bases in their vacuoles via complexation with polyphenols, sparked the evaluation to use hydroxybenzoic acid derivatives for salt or co-crystal engineering. Imatinib was chosen as the model compound for this investigation as its aromaticity and flat molecular architecture could favor interactions with hydroxybenzoic acid derivatives. One 1:1 Imatinib syringate co-crystal (I-SYA (1:1)) and one 1:2 Imatinib syringate co-crystal salt (I-SYA (1:2)) were obtained. Their dissolution assays in simulated intestinal fluid (SIF; a 50 mM phosphate buffer of pH 6.8) revealed that they formed stable solutions for several hours and days, respectively, in contrast to the marketed Imatinib mesylate salt (approx. 1h). This kinetic stability in solution was linked to the nucleation inhibition of the less soluble Imatinib hydrate by syringic acid (SYA). In solution 1H-NMR studies evidenced the aggregation of Imatinib and SYA. The amphiphilic nature of both Imatinib and SYA is considered to drive their association in solution, additionally, multiple intermolecular interactions such as hydrogen bonds and π-π stacking are likely to contribute. The association in solution enabled a phase of extended supersaturation, i.e., a parachute against desupersaturation, while no negative impact of aggregation on the permeability of both Imatinib and SYA was observed.
A prerequisite to reach supersaturation is a rapid dissolution and release of the API from the formulation. Accordingly, the second and third part of this thesis is focused on the so-called “spring effect” of amorphous solid dispersions (ASDs). The addition of a hydrotropic agent, meaning a molecule that can solubilize poorly water-soluble APIs in aqueous solutions (well-known examples of hydrotropes are benzoic acid and nicotinamide) into an amorphous Ciprofloxacin-polymer matrix led to ternary systems with a significantly faster release and higher concentration of the API in SIF as compared to binary ASDs consisting of Ciprofloxacin (CPX) and polymer only. The stronger spring could be rationalized by an improved wetting of the ASD, or/and by a hydrotropic solubilization effect, although these hypotheses need further investigation. Marked differences in the dissolution profiles of binary ASDs were observed in biorelevant fasted simulated intestinal fluid (FaSSIF; a medium containing Na taurocholate (3 mM) and lecithin (0.75 mM) at pH 6.5) as compared to SIF. In FaSSIF, API release from binary polymeric ASDs was largely improved, and the duration of supersaturation was extended. This suggests that the bile salt Na taurocholate and lecithin present in FaSSIF do improve both dissolution rate and supersaturation of ASDs, the two pillars of ASDs as oral enabling formulations. Indeed, bile salts are endogenous surfactants which, together with phospholipids, play an important role in the wetting, solubilization, and absorption of lipophilic compounds.
The aim of the third part of the present thesis was to study ASDs as formulation principles reducing the strong positive food effect of Compound A. By inclusion of Na taurocholate (NaTC) within the matrix of polymeric ASDs a significant improvement of the dissolution rate and the kinetic solubility in SIF were achieved. Transient supersaturated states of up to four orders of magnitude over the equilibrium solubility were obtained. Two ASDs were selected for further in vivo evaluation in dog. The first was a NaTC/Eudragit E based ASD meant to dissolve and release Compound A in the acidic environment of the stomach, where its solubility is the highest. The second relied on the release of Compound A in the neutral environment of the duodenum and jejunum by using an enterically dissolving polymer, HPMC-P. Releasing the API at the site of its putative absorption was an attempt to control supersaturation levels in the duodenum and to prevent portioning and thus dilution effects during transfer from the stomach. In fasted dogs, exposure from the NaTC/HPMC-P ASD was close to that of the reference Compound A formulation under fed conditions, which suggests an improved dissolution rate and kinetic solubility under fasted conditions (historical data). The exposure from the NaTC/Eudragit E ASD was twice as low as from the NaTC/HPMC-P ASD, and also lower compared to Compound A reference formulation, whereas in vitro the parachute effect of the NaTC/Eudragit E ASD was largely superior to that of the NaTC/HPMC-P ASD. A difference in the extend of the parachute could be related to differences in the thermodynamic activity of dissolved molecules from the two ASDs. Indeed, the high instability of the NaTC/HPMC-P ASD could stem from a high thermodynamic activity driving diffusion through membranes, whereas less instable solutions of NaTC/Eudragit E could indicate solubilization effects which often translate into a lower flux through the biological membrane. Additionally, the pH of the environment where dissolution takes place might be an important factor for absorption, and could also account for the difference in exposure from the two ASDs.
The aim of this thesis was to explore how the intimate environment of weak, poorly soluble bases could be functionalized to improve dissolution rate and kinetic solubility. The investigations highlighted that the performance of enabling oral delivery formulations of weak bases in aqueous media can be enhanced at different levels. At one end initial dissolution rate of ASDs can be tailored by introducing hydrotropes or/and bile salts within the polymeric matrix of ASDs. Bile salts, when combined with appropriate polymers, had also a precipitation inhibition effect enabling the maintenance of supersaturation for a bio-relevant period of time. These results set the ground for further investigations to comprehend specific interactions between bile salts and APIs, and potentially polymers at the molecular level. It will be interesting to explore how such complex systems can be exploited in the formulation design of poorly water-soluble APIs. In addition, it was observed that the duration of supersaturation generated by salts/co-crystals can be extended by the pertinent selection of counterions or coformers. The in vivo relevance of these tunings remains to be evaluated, as translation from closed, in vitro systems to the highly dynamic gastrointestinal environment is not straightforward. A better understanding of the contribution of each kinetic stage (dissolution, supersaturation, and precipitation) and their interplay with physiological factors impacting absorption is essential to facilitate the design of formulations with improved pharmacokinetics.
The attitude and orbit control system of pico- and nano-satellites to date is one of the bottle necks for future scientific and commercial applications. A performance increase while keeping with the satellites’ restrictions will enable new space missions especially for the smallest of the CubeSat classes. This work addresses methods to measure and improve the satellite’s attitude pointing and orbit control performance based on advanced sensor data analysis and optimized on-board software concepts. These methods are applied to spaceborne satellites and future CubeSat missions to demonstrate their validity. An in-orbit calibration procedure for a typical CubeSat attitude sensor suite is developed and applied to the UWE-3 satellite in space. Subsequently, a method to estimate the attitude determination accuracy without the help of an external reference sensor is developed. Using this method, it is shown that the UWE-3 satellite achieves an in-orbit attitude determination accuracy of about 2°.
An advanced data analysis of the attitude motion of a miniature satellite is used in order to estimate the main attitude disturbance torque in orbit. It is shown, that the magnetic disturbance is by far the most significant contribution for miniature satellites and a method to estimate the residual magnetic dipole moment of a satellite is developed. Its application to three CubeSats currently in orbit reveals that magnetic disturbances are a common issue for this class of satellites. The dipole moments measured are between 23.1mAm² and 137.2mAm². In order to autonomously estimate and counteract this disturbance in future missions an on-board magnetic dipole estimation algorithm is developed.
The autonomous neutralization of such disturbance torques together with the simplification of attitude control for the satellite operator is the focus of a novel on-board attitude control software architecture. It incorporates disturbance torques acting on the satellite and automatically optimizes the control output. Its application is demonstrated in space on board of the UWE-3 satellite through various attitude control experiments of which the results are presented here.
The integration of a miniaturized electric propulsion system will enable CubeSats to perform orbit control and, thus, open up new application scenarios. The in-orbit characterization, however, poses the problem of precisely measuring very low thrust levels in the order of µN. A method to measure this thrust based on the attitude dynamics of the satellite is developed and evaluated in simulation. It is shown, that the demonstrator mission UWE-4 will be able to measure these thrust levels with a high accuracy of 1% for thrust levels higher than 1µN.
The orbit control capabilities of UWE-4 using its electric propulsion system are evaluated and a hybrid attitude control system making use of the satellite’s magnetorquers and the electric propulsion system is developed. It is based on the flexible attitude control architecture mentioned before and thrust vector pointing accuracies of better than 2° can be achieved. This results in a thrust delivery of more than 99% of the desired acceleration in the target direction.
Besides a growing tendency for delayed parenthood, sedentary lifestyle coupled with overnutrition has dramatically increased worldwide over the last few decades. Epigenetic mechanisms can help us understand the epidemics and heritability of complex traits like obesity to a significant extent. Majority of the research till now has focused on determining the impact of maternal factors on health and disease risk in the offspring(s).
This doctoral thesis is focused on deciphering the potential effects of male aging and obesity on sperm methylome, and consequences/transmission via germline to the next generation. In humans, this was assessed in a unique cohort of ~300 sperm samples, collected after in vitro fertilization/intracytoplasmic sperm injection, as well as in conceived fetal cord blood samples of the children. Furthermore, aging effect on sperm samples derived from a bovine cohort was analyzed.
The study identified that human male aging significantly increased the DNA methylation levels of the promoter, the upstream core element, the 18S, and the 28S regions of ribosomal DNA (rDNA) in sperm. Prediction models were developed to anticipate an individual’s age based on the methylation status of rDNA regions in his sperm. Hypermethylation of alpha satellite and LINE1 repeats in human sperm was also observed with aging. Epimutations, which are aberrantly methylated CpG sites, were significantly higher in sperm of older males compared to the younger ones. These effects on the male germline had a negative impact on embryo quality of the next generation. Consistent with these results, DNA methylation of rDNA regions, bovine alpha satellite, and testis satellite repeats displayed a significant positive correlation with aging sperm samples within the same individual and across different age-grouped bulls.
A positive association between human male obesity/body mass index (BMI) and DNA methylation of the imprinted MEG3 gene and the obesity-related HIF3A gene was detected in sperm. These BMI-induced sperm DNA methylation signatures were transmitted to next generation fetal cord blood (FCB) samples in a gender-specific manner. Males, but not female offsprings exhibited a significant positive correlation between father’s BMI and FCB DNA methylation in the two above-mentioned amplicons. Additionally, hypomethylation of IGF2 with increased paternal BMI was observed in female FCB samples. Parental allele-specific in-depth methylation analysis of imprinted genes using next generation sequencing technology also revealed significant correlations between paternal factors like age and BMI, and the corresponding father’s allele DNA methylation in FCB samples.
Deep bisulphite sequencing of imprinted genes in diploid somatic cord blood cells of offspring detected that the levels of DNA methylation signatures largely depended on the underlying genetic variant, i.e. sequence haplotypes. Allele-specific epimutations were observed in PEG1, PEG5, MEG3, H19, and IGF2 amplicons. For the former three genes, the non-imprinted unmethylated allele displayed more epimutations than the imprinted methylated allele. On the other hand, for the latter two genes, the imprinted allele exhibited higher epimutation rate than that of the non-imprinted allele.
In summary, the present study proved that male aging and obesity impacts the DNA methylome of repetitive elements and imprinted genes respectively in sperm, and also has considerable consequences on the next generation. Nevertheless, longitudinal follow-up studies are highly encouraged to elucidate if these effects can influence the risk of developing abnormal phenotype in the offspring during adulthood.
The present dissertation includes three research papers dealing with the following banking topics: (dis-) incentives and risk taking, earnings management and the regulation of supervisory boards.
„Do cooperative banks suffer from moral hazard behaviour? Evidence in the context of efficiency and risk“:
We use Granger-causality techniques to evaluate the intertemporal relationships among risk, efficiency and capital. We use two different measures of bank efficiency, i.e., cost and profit efficiency, since these measures reflect different managerial abilities. One is the ability to manage costs, and the other is the ability to maximize profits. We find that lower cost and profit efficiency Granger-cause increases in liquidity risk. We also identify that credit risk negatively Granger-causes cost and profit efficiency. Most importantly, our results show a positive relationship between capital and credit risk, thus displaying that moral hazard (due to limited liability and deposit insurance) does not apply to our sample of cooperative banks. On the contrary, we find evidence that banks with low capital are able to improve their loan quality in subsequent periods. These findings may be important to regulators, who should consider banks’ business models when introducing new regulatory capital constraints.
„Earnings Management Modelling in the Banking Industry – Evaluating valuable approaches“:
Accounting research has separately studied the field of Earnings Management (EM) for non-financial and financial industries. Since EM cannot be observed directly, it is important for every research question in any setting to find a verifiable proxy for EM. However, we still lack a thorough understanding of what regressors can add value to the estimation process of EM in banks. This study tries to close this gap and analyses existing model specifications of discretionary loan loss provisions (LLP) in the banking sector to identify common pattern groups and specific patterns used. Thereupon, we use an US-dataset from 2005-2015 and apply prevalent test procedures to examine the extent of measurement errors, extreme performance and omitted-variable biases and predictive power of the discretionary proxies of each of the models. Our results indicate that a thorough understanding about the methodological modelling process of EM in the banking industry is important. The currently established models to estimate EM are appropriate yet optimizable. In particular, we identify non-performing asset patterns as the most important group, while loan loss allowances and net charge offs can add some value, though do not seem to be indispensable. In addition, our results show that non-linearity of certain regressors can be an issue, which should be addressed in future research, while we identify some omitted and possibly correlated variables that might add value to specifications in identifying non-discretionary LLP. Results also indicate that a dynamic model and endogeneity robust estimation approach is not necessarily linked to better prediction power.
„Board Regulation and its Impact on Composition and Effects – Evidence from German Cooperative Bank“:
This study employs a system GMM framework to examine the impact of potential regulatory intervention regarding the occupations of supervisory board members in cooperative banks. To achieve insights the study proceeds in two different ways. First, the author investigates the changes in board structure prior and following to the German Act to Strengthen Financial Market and Insurance Supervision (FinVAG). Second, the author estimates the influence of Ph.D. degree holders and occupational concentration on bank-risk changes in consideration of the implementation of FinVAG. Therefore, the sample consists of 246 German cooperative banks from 2006-2011. Regarding bank-risk the author applies four different measures: credit-, equity-, liquidity-risk and the Z-Score, with the former three also being addressed in FinVAG. Results indicate that the implementation of FinVAG results in structural changes in board composition, especially at the expense of farmers. In addition, the implementation affects all risk-measures and relations between risk-measures and supervisory board characteristics in a risk-reducing and therefore intended way.
To disentangle the complex relationship between board characteristics and risk measures the study utilizes a two-step system GMM estimator to account for unobserved heterogeneity, and simultaneity in order to reduce endogeneity problems. The findings may be especially relevant for stakeholders, regulators, supervisors and managers.
The present dissertation investigates the management of RFID implementations in retail trade. Our work contributes to this by investigating important aspects that have so far received little attention in scientific literature. We therefore perform three studies about three important aspects of managing RFID implementations. We evaluate in our first study customer acceptance of pervasive retail systems using privacy calculus theory. The results of our study reveal the most important aspects a retailer has to consider when implementing pervasive retail systems. In our second study we analyze RFID-enabled robotic inventory taking with the help of a simulation model. The results show that retailers should implement robotic inventory taking if the accuracy rates of the robots are as high as the robots’ manufacturers claim. In our third and last study we evaluate the potentials of RFID data for supporting managerial decision making. We propose three novel methods in order to extract useful information from RFID data and propose a generic information extraction process. Our work is geared towards practitioners who want to improve their RFID-enabled processes and towards scientists conducting RFID-based research.
The respiratory system is amongst the most important compartments in the human body. Due to its connection to the external environment, it is one of the most common portals of pathogen entry. Airborne pathogens like measles virus (MV) carried in liquid droplets exhaled from the infected individuals via a cough or sneeze enter the body from the upper respiratory tract and travel down to the lower respiratory tract and reach the alveoli. There, pathogens are captured by the resident dendritic cells (DCs) or macrophages and brought to the lymph node where immune responses or, as in case of MV, dissemination via the hematopoietic cell compartment are initiated. Basic mechanisms governing MV exit from the respiratory tract, especially virus transmission from infected immune cells to the epithelial cells have not been fully addressed before. Considering the importance of these factors in the viral spread, a complex close-to-in-vivo 3D human respiratory tract model was generated. This model was established using de-cellularized porcine intestine tissue as a biological scaffold and H358 cells as targets for infection. The scaffold was embedded with fibroblast cells, and later on, an endothelial cell layer seeded at the basolateral side. This provided an environment resembling the respiratory tract where MV infected DCs had to transmigrate through the collagen scaffold and transmit the virus to epithelial cells in a Nectin-4 dependent manner. For viral transmission, the access of infected DCs to the recipient epithelial cells is an essential prerequisite and therefore, this important factor which is reflected by cell migration was analyzed in this 3D system.
The enhanced motility of specifically MV-infected DCs in the 3D models was observed, which occurred independently of factors released from the other cell types in the models. Enhanced motility of infected DCs in 3D collagen matrices suggested infection-induced cytoskeletal remodeling, as also verified by detection of cytoskeletal polarization, uropod formation. This enforced migration was sensitive to ROCK inhibition revealing that MV infection induces an amoeboid migration mode in DCs. In support of this, the formation of podosome structures and filopodia, as well as their activity, were reduced in infected DCs and retained in their uninfected siblings. Differential migration modes of uninfected and infected DCs did not cause differential maturation, which was found to be identical for both populations. As an underlying mechanism driving this enforced migration, the role of sphingosine kinase (SphK) and sphingosine-1-phosphate (S1P) was studied in MV-exposed cultures. It was shown in this thesis that MV-infection increased S1P production, and this was identified as a contributing factor as inhibition sphingosine kinase activity abolished enforced migration of MV-infected DCs. These findings revealed that MV infection induces a fast push-and-squeeze amoeboid mode of migration, which is supported by SphK/S1P axis. However, this push-and-squeeze amoeboid migration mode did not prevent the transendothelial migration of MV-infected DCs.
Altogether, this 3D system has been proven to be a suitable model to study specific parameters of mechanisms involved in infections in an in vivo-like conditions.
Energy efficiency of computing systems has become an increasingly important issue over the last decades. In 2015, data centers were responsible for 2% of the world's greenhouse gas emissions, which is roughly the same as the amount produced by air travel.
In addition to these environmental concerns, power consumption of servers in data centers results in significant operating costs, which increase by at least 10% each year.
To address this challenge, the U.S. EPA and other government agencies are considering the use of novel measurement methods in order to label the energy efficiency of servers.
The energy efficiency and power consumption of a server is subject to a great number of factors, including, but not limited to, hardware, software stack, workload, and load level.
This huge number of influencing factors makes measuring and rating of energy efficiency challenging. It also makes it difficult to find an energy-efficient server for a specific use-case. Among others, server provisioners, operators, and regulators would profit from information on the servers in question and on the factors that affect those servers' power consumption and efficiency. However, we see a lack of measurement methods and metrics for energy efficiency of the systems under consideration.
Even assuming that a measurement methodology existed, making decisions based on its results would be challenging. Power prediction methods that make use of these results would aid in decision making. They would enable potential server customers to make better purchasing decisions and help operators predict the effects of potential reconfigurations.
Existing energy efficiency benchmarks cannot fully address these challenges, as they only measure single applications at limited sets of load levels. In addition, existing efficiency metrics are not helpful in this context, as they are usually a variation of the simple performance per power ratio, which is only applicable to single workloads at a single load level. Existing data center efficiency metrics, on the other hand, express the efficiency of the data center space and power infrastructure, not focusing on the efficiency of the servers themselves. Power prediction methods for not-yet-available systems that could make use of the results provided by a comprehensive power rating methodology are also lacking. Existing power prediction models for hardware designers have a very fine level of granularity and detail that would not be useful for data center operators.
This thesis presents a measurement and rating methodology for energy efficiency of servers and an energy efficiency metric to be applied to the results of this methodology. We also design workloads, load intensity and distribution models, and mechanisms that can be used for energy efficiency testing. Based on this, we present power prediction mechanisms and models that utilize our measurement methodology and its results for power prediction.
Specifically, the six major contributions of this thesis are:
We present a measurement methodology and metrics for energy efficiency rating of servers that use multiple, specifically chosen workloads at different load levels for a full system characterization.
We evaluate the methodology and metric with regard to their reproducibility, fairness, and relevance. We investigate the power and performance variations of test results and show fairness of the metric through a mathematical proof and a correlation analysis on a set of 385 servers. We evaluate the metric's relevance by showing the relationships that can be established between metric results and third-party applications.
We create models and extraction mechanisms for load profiles that vary over time, as well as load distribution mechanisms and policies. The models are designed to be used to define arbitrary dynamic load intensity profiles that can be leveraged for benchmarking purposes. The load distribution mechanisms place workloads on computing resources in a hierarchical manner.
Our load intensity models can be extracted in less than 0.2 seconds and our resulting models feature a median modeling error of 12.7% on average. In addition, our new load distribution strategy can save up to 10.7% of power consumption on a single server node.
We introduce an approach to create small-scale workloads that emulate the power consumption-relevant behavior of large-scale workloads by approximating their CPU performance counter profile, and we introduce TeaStore, a distributed, micro-service-based reference application. TeaStore can be used to evaluate power and performance model accuracy, elasticity of cloud auto-scalers, and the effectiveness of power saving mechanisms for distributed systems.
We show that we are capable of emulating the power consumption behavior of realistic workloads with a mean deviation less than 10% and down to 0.2 watts (1%). We demonstrate the use of TeaStore in the context of performance model extraction and cloud auto-scaling also showing that it may generate workloads with different effects on the power consumption of the system under consideration.
We present a method for automated selection of interpolation strategies for performance and power characterization. We also introduce a configuration approach for polynomial interpolation functions of varying degrees that improves prediction accuracy for system power consumption for a given system utilization.
We show that, in comparison to regression, our automated interpolation method selection and configuration approach improves modeling accuracy by 43.6% if additional reference data is available and by 31.4% if it is not.
We present an approach for explicit modeling of the impact a virtualized environment has on power consumption and a method to predict the power consumption of a software application. Both methods use results produced by our measurement methodology to predict the respective power consumption for servers that are otherwise not available to the person making the prediction.
Our methods are able to predict power consumption reliably for multiple hypervisor configurations and for the target application workloads. Application workload power prediction features a mean average absolute percentage error of 9.5%.
Finally, we propose an end-to-end modeling approach for predicting the power consumption of component placements at run-time. The model can also be used to predict the power consumption at load levels that have not yet been observed on the running system.
We show that we can predict the power consumption of two different distributed web applications with a mean absolute percentage error of 2.2%. In addition, we can predict the power consumption of a system at a previously unobserved load level and component distribution with an error of 1.2%.
The contributions of this thesis already show a significant impact in science and industry. The presented efficiency rating methodology, including its metric, have been adopted by the U.S. EPA in the latest version of the ENERGY STAR Computer Server program. They are also being considered by additional regulatory agencies, including the EU Commission and the China National Institute of Standardization. In addition, the methodology's implementation and the underlying methodology itself have already found use in several research publications.
Regarding future work, we see a need for new workloads targeting specialized server hardware. At the moment, we are witnessing a shift in execution hardware to specialized machine learning chips, general purpose GPU computing, FPGAs being embedded into compute servers, etc. To ensure that our measurement methodology remains relevant, workloads covering these areas are required. Similarly, power prediction models must be extended to cover these new scenarios.
Mechanistic Insights into the Inhibition of Cathepsin B and Rhodesain with Low-Molecular Inhibitors
(2019)
Cysteine proteases play a crucial role in medical chemistry concerning various fields reaching from more common ailments like cancer and hepatitis to less noted tropical diseases, namely the so-called African Sleeping Sickness (Human Arfican Trypanosomiasis). Detailed knowledge about the catalytic function of these systems is highly desirable for drug research in the respective areas. In this work, the inhibition mechanisms of the two cysteine proteases cathepsin B and rhodesain with respectively one low-molecular inhibitor class were investigated in detail, using computational methods. In order to sufficiently describe macromolecular systems, molecular mechanics based methods (MM) and quantum mechanical based method (QM), as well as hybrid methods (QM/MM) combining those two approaches, were applied.
For Cathespin B, carbamate-based molecules were investigated as potential inhibitors for the cysteine protease. The results indicate, that water-bridged proton-transfer reactions play a crucial role for the inhibition. The energetically most favoured pathway (according to the calculations) includes an elimination reaction following an E1cB mechanism with a subsequent carbamylation of the active site amino acid cysteine.
Nitroalkene derivatives were investigated as inhibitors for rhodesain. The investigation of structurally similar inhibitors showed, that even small steric differences can crucially influence the inhibition potential of the components. Furthermore, the impact of a fluorination of the nitroalkene inhibitors on the inhibition mechanism was investigated. According to experimental data measured from the working group of professor Schirmeister in Mainz, fluorinated nitroalkenes show – in contrast to the unfluorinated compounds – a time dependent inhibition efficiency. The calculations of the systems indicate, that the fluorination impacts the non-covalent interactions of the inhibitors with the enzymatic environment of the enzyme which results in a different inhibition behaviour.
The present thesis analyzes whether and - if so - under which conditions mergers result in merger-specific efficiency gains. The analysis concentrates on manufacturing firms in Europe that participate in horizontal mergers as either buyer or target in the years 2005 to 2014.
The result of the present study is that mergers are idiosyncratic processes. Thus, the possibilities to define general conditions that predict merger-specific efficiency gains are limited.
However, the results of the present study indicate that efficiency gains are possible as a direct consequence of a merger. Efficiency changes can be measured by a Total Factor Productivity (TFP) approach. Significant merger-specific efficiency gains are more likely for targets than for buyers. Moreover, mergers of firms that mainly operate in the same segment are likely to generate efficiency losses. Efficiency gains most likely result from reductions in material and labor costs, especially on a short- and mid-term perspective. The analysis of conditions that predict efficiency gains indicates that firm that announce the merger themselves are capable to generate efficiency gains in a short- and mid-term perspective. Furthermore, buyers that are mid-sized firms are more likely to generate efficiency gains than small or large buyers. Results also indicate that capital intense firms are likely to generate efficiency gains after a merger.
The present study is structured as follows.
Chapter 1 motivates the analysis of merger-specific efficiency gains. The definition of conditions that reasonably likely predict when and to which extent mergers will result in merger-specific efficiency gains, would improve the merger approval or denial process.
Chapter 2 gives a literature review of some relevant empirical studies that analyzed merger-specific efficiency gains. None of the empirical studies have analyzed horizontal mergers of European firms in the manufacturing sector in the years 2005 to 2014. Thus, the present study contributes to the existing literature by analyzing efficiency gains from those mergers.
Chapter 3 focuses on the identification of mergers. The merger term is defined according to the EC Merger Regulation and the Horizontal Merger Guidelines. The definition and the requirements of mergers according to legislation provides the framework of merger identification.
Chapter 4 concentrates on the efficiency measurement methodology. Most empirical studies apply a Total Factor Productivity (TFP) approach to estimate efficiency. The TFP approach uses linear regression in combination with a control function approach. The estimation of coefficients is done by a General Method of Moments approach.
The resulting efficiency estimates are used in the analysis of merger-specific efficiency gains in chapter 5. This analysis is done separately for buyers and targets by applying a Difference-In-Difference (DID) approach.
Chapter 6 concentrates on an alternative approach to estimate efficiency, that is a Stochastic Frontier Analysis (SFA) approach. Comparable to the TFP approach, the SFA approach is a stochastic efficiency estimation methodology. In contrast to TFP, SFA estimates the production function as a frontier function instead of an average function. The frontier function allows to estimate efficiency in percent.
Chapter 7 analyses the impact of different merger- and firm-specific characteristics on efficiency changes of buyers and targets. The analysis is based on a multiple regression, which is applied for short-, mid- and long-term efficiency changes of buyers and targets.
Chapter 8 concludes.
Modulation of insulin-induced genotoxicity in vitro and genomic damage in gestational diabetes
(2019)
Diabetes mellitus is a global health problem, where the risk of diabetes increases rapidly
due to the lifestyle changes. Patients with type II diabetes have many complications
with increased risk of morbidity and mortality. High levels of insulin may lead to DNA
oxidation and damage. Several studies proposed that hyperinsulinemia may be an
important risk factor for various types of cancer. To investigate insulin signaling
pathway inducing oxidative stress and genomic damage, pharmaceutical and natural
compounds which can interfere with the insulin pathway including PI3K inhibitors,
resveratrol, lovastatin, and RAD-001 were selected due to their beneficial effects
against metabolic disorder. Thus, the anti-genotoxic potential of these compounds
regarding insulin-mediated oxidative stress were investigated in normal rat kidney cells
in vitro. Our compounds showed protective effect against genotoxic damage and
significantly decreased reactive oxygen specious after treatment of cells with insulin
with different mechanisms of protection between the compounds. Thus, these
compounds may be attractive candidates for future support of diabetes mellitus therapy.
Next, we explored the link between gestational diabetes mellitus and genomic damage
in cells derived from human blood. Moreover, we investigated the influence of
estradiol, progesterone, adrenaline and triiodothyronine on insulin-induced genomic
damage in vitro. First, we studied the effect of these hormones in human promyelocytic
leukemia cells and next ex vivo with non-stimulated and stimulated peripheral blood
mononuclear cells. In parallel, we also measured the basal genomic damage using three
conditions (whole blood, non-stimulated and stimulated peripheral blood mononuclear
cells) in a small patient study including non-pregnant controls with/without hormonal
contraceptives, with a subgroup of obese women, pregnant women, and gestational
diabetes affected women. A second-time point after delivery was also applied for
analysis of the blood samples. Our results showed that GDM subjects and obese
individuals exhibited higher basal DNA damage compared to lower weight nonpregnant
or healthy pregnant women in stimulated peripheral blood mononuclear cells
in both comet and micronucleus assays. On the other hand, the DNA damage in GDM
women had decreased at two months after birth. Moreover, the applied hormones also
showed an influence in vitro in the enhancement of the genomic damage in cells of the control and pregnant groups but this damage did not exceed the damage which existed
in obese and gestational diabetes mellitus patients with high level of genomic damage.
In conclusion, insulin can induce genomic damage in cultured cells, which can be
modulated by pharmaceutical and naturals substances. This may be for future use in the
protection of diabetic patients, who suffer from hyperinsulinemia during certain disease
stages. A particular form of diabetes, GDM, was shown to lead to elevated DNA
damage in affected women, which is reduced again after delivery. Cells of affected
women do not show an enhanced, but rather a reduced sensitivity for further DNA
damage induction by hormonal treatment in vitro. A potential reason may be an
existence of a maximally inducible damage by hormonal influences.
Staphylococcus aureus asymptomatically colonizes the skin and anterior nares of 20-30% of the healthy human population. As an opportunistic human pathogen it elicits a variety of infections ranging from skin and soft tissue infections to highly severe manifestations such as pneumonia, endocarditis and osteomyelitis. Due to the emergence of multi resistant strains, treatment of staphylococcal infections becomes more and more challenging and the WHO therefore classified S. aureus as a “superbug”. The variety of diseases triggered by S. aureus is the result of a versatile expression of a large set of virulence factors. The most prominent virulence factor is the cytotoxic and haemolytic pore-forming α-toxin whose expression is mediated by a complex regulatory network involving two-component systems such as the agr quorum-sensing system, accessory transcriptional regulators and alternative sigma-factors. However, the intricate regulatory network is not yet understood in its entirety. Recently, a transposon mutation screen identified the AraC-family transcriptional regulator ‘Repressor of surface proteins’ (Rsp) to regulate haemolysis, cytotoxicity and the expression of various virulence associated factors. Deletion of rsp was accompanied by a complete loss of transcription of a 1232 nt long non-coding RNA, SSR42.
This doctoral thesis focuses on the molecular and functional characterization of SSR42. By analysing the transcriptome and proteome of mutants in either SSR42 or both SSR42 and rsp, as well as by complementation of SSR42 in trans, the ncRNA was identified as the main effector of Rsp-mediated virulence. Mutants in SSR42 exhibited strong effects on transcriptional and translational level when compared to wild-type bacteria. These changes resulted in phenotypic alterations such as strongly reduced haemolytic activity and cytotoxicity towards epithelial cells as well as reduced virulence in a murine infection model. Deletion of SSR42 further promoted the formation of small colony variants (SCV) during long term infection of endothelial cells and demonstrated the importance of this molecule for intracellular bacteria. The impact of this ncRNA on staphylococcal haemolysis was revealed to be executed by modulation of sae mRNA stability and by applying mutational studies functional domains within SSR42 were identified.
Moreover, various stressors modulated the transcription of SSR42 and antibiotic challenge resulted in SSR42-dependently increased haemolysis and cytotoxicity. Transcription of SSR42 itself was found under control of various important global regulators including AgrA, SaeS, CodY and σB, thereby illustrating a central position in S. aureus virulence gene regulation.
The present study thus demonstrates SSR42 as a global virulence regulatory RNA which is important for haemolysis, disease progression and adaption of S. aureus to intracellular conditions via formation of SCVs.
Molecular Effects of Polyphenols in Experimental Type 2 Diabetes Mellitus and Metabolic Syndrome
(2019)
The growing prevalence of type 2 diabetes mellitus (T2DM) demands novel therapeutic and adjuvant strategies. Polyphenols (PPs) are plant secondary metabolites. Epidemiological studies demonstrate an inverse relationship between their increased intake and the risk of development of T2DM and cardiovascular complications. However, the PPs’ mechanism of action remains largely unknown. The present work aimed to expand knowledge regarding the effects of PPs on diabetes relevant molecular targets.
Pycnogenol® (PYC) is a standardized pine bark extract which consists of oligomeric and monomeric PPs. Its anti-diabetic effects have been demonstrated in clinical trials. As a part of a human study involving 20 healthy volunteers, the extract’s effects on dipeptidyl peptidase IV (DPP IV) were investigated. This protease terminates the insulin secretagogue action of incretins. Its inhibition is a promising strategy in T2DM treatment. This study uncovered that PYC-intake of 100 mg daily over 14 days statistically significantly reduced DPP IV serum concentrations by 8.2 % (n= 38, p= 0.032). Contrary to expectations, this decrease was not paralleled by a reduction in the serum DPP IV enzymatic activity. To the best of our knowledge, the present study was the first investigating the effects of PPs on DPP IV serum concentrations and activities in humans. The finding that PYC is capable of reducing DPP IV serum concentrations might be important with regard to diabetes, where DPP IV levels are increased.
Screenings for PPs’ in vitro effects on DPP IV activity were performed employing a purified enzyme. The effects of tested PPs (among which PYC ingredients) at a physiologically relevant concentration of 5 µM were weak (< 10 %) and too small compared to the reference compound sitagliptin, and thus not likely to be clinically relevant. This result is in discordance with some published data, but consistent with the outcome from the present human study. In addition, fluorescence interactions with the experimental setup were registered: under certain conditions urolithin B exhibited an autofluorescence which might mask eventual inhibitory activity. Quercetin quenched the fluorescence slightly which might contribute to false positive results. No statistically significant effects of selected constituents and metabolites of PYC on the total DPP IV protein expression were observed in 3T3-L1 adipocytes. Thus, the lower DPP IV in vivo concentrations after intake of PYC cannot be explained with down-regulation of the DPP IV expression in adipocytes.
Akt kinase is responsible for the transmission of insulin signals and its dysregulation is related to insulin resistance and plays an important role in development of cardiovascular complications in T2DM. Thus, the modulation of the phosphorylation status of endothelial Akt-kinase, respectively its activity, might be a promising strategy in the management of these pathologies. This work aimed to uncover the effects of PPs from different structural subclasses on Akt-phosphorylation (pAkt) in endothelial cells (Ea.hy926). Short-term effects (5 – 30 min) were investigated at a concentration of 10 µM. In a pilot study two model PPs induced a moderate, but reproducible inhibition of pAkt Ser473 of 52.37 ± 21.01 % (quercetin; p= 0.006, n= 3) and 37.79 ± 7.14 % (resveratrol; p= 0.021, n= 4) compared to the negative control. A primary screening with Western blot analysis investigated the effects of eight compounds from different subclasses on pAkt Ser473 and Thr308 to reveal whether the observed inhibition PPs a group effect or specific to certain compounds. In addition to resveratrol and quercetin, statistically significant inhibitions of pAkt Ser473 were induced by luteolin (29.96 ± 11.06 %, p< 0.01, n= 6) and apigenin (22.57 ± 10.30 %, p< 0.01, n= 6). In contrast, genistein, 3,4,5-trimethoxystilbene, taxifolin and (+)-catechin caused no inhibition. A strong positive and statistically significant correlation between the mean inhibitory effects of the tested PPs on both Akt-residues Ser473 and Thr308 (r= 0.9478, p= 0.0003) was determined. A comprehensive secondary screening via ELISA involving 44 compounds from nine structural groups quantified the effects of PPs on pAkt Ser473 to uncover potential structure-activity features. The most potent inhibitors were luteolin (44.31 ± 17.95 %), quercetin (35.71 ± 8.33 %), urolithin A (35.28 ± 11.80 %), apigenin (31.79 ± 6.16 %), fisetin (28.09 ± 9.09 %), and resveratrol (26.04 ± 5.58 %). These effects were statistically significant (p< 0.01, n= 3 to 6). Further lead structure optimization might be based on the fact that the effects of luteolin and resveratrol also differed statistically significantly from each other (p= 0.008).
To the best of our knowledge, the present study is the first to compare quantitatively the short term effects of PPs from different subclasses on pAkt in endothelial cells. Basic structure-activity relationships revealed that for flavones and flavonols the presence of a C2=C3 double bond (ring C) was essential for inhibitory activity and hydroxylation on the m- and p- positions in the ring B contributed to it. For stilbenoids, three free OH-groups appeared to be optimal. The comparison of the inhibitory potentials of ellagic acid and its microbial metabolites showed that urolithin A was statistically significantly more effective than its progenitor compound. Despite their structural similarities, the only active compound among all urolithins tested was urolithin A, hydroxylated at the C3 and C8 positions. This suggested a specific effect for urolithin A. Based on the common structural determinants and molecular geometry of the most active PPs a pharmacophore model regarding Akt-inhibition was proposed.
In summary, the effects of a wide variety of PPs from diverse structural subclasses on the in vitro phosphorylation of endothelial Akt were quantitatively analyzed for the first time, the effects of previously undescribed compounds were determined and structure activity relationships were elucidated. The inhibitory potential of individual PPs might be beneficial in cases of sustained over-activation of Akt-kinase and its substrates such as S6 kinase as reported for certain T2DM-related pathological states, such as insulin resistance, endothelial dysfunction, excessive angiogenesis, vascular calcification, and insulin triggered DNA-damage. The results of the present work suggest potential molecular mechanisms of action of PP involving Akt-inhibition and DPP IV-down-regulation and thus contribute to the understanding of anti-diabetic effects of these compounds on the molecular level.
Woodhouse-Sakati syndrome (WSS) is a rare multisystemic, autosomal recessive disease. The underlying cause of WSS are mutations of C2orf37 gene, which result in a truncated protein. Little is known about the function of C2orf37 (DDB1-CUL4A-associated factor 17, DCAF17) apart from it being part of the DDB1-CUL4-ROC1 E3 ubiquitin ligase complex, specifically binding directly to DDB1 and serving as a substrate recruiter for E3. There are two major isoforms of DCAF17: beta (65 kDa, 520 amino acids) and alpha (27 kDa, 240 amino acids), which is a C-terminal part of beta. The intracellular localization of the WSS protein is thought to be primarily the nucleolus. A murine ortholog protein was found to be expressed in all tissues with a relatively higher expression in the brain, liver, and skin.The aim of this work was to investigate DCAF17 in HeLa cells in more detail, in particular the redistribution of both WSS isoforms on the subcellular and -nuclear level as well as their chemical features. For these experiments, I developed, through recombinant expression and affinity purification, a specific polyclonal antibody against a WSS-epitope 493-520. Furthermore, three other specific polyclonal antibodies were obtained through affinity purification with help of commercially produced high-affinity epitope peptides.By means of these antibodies, I determined- through immunofluorescence and subcellular protein fractionation- that, apart from the redistribution of the WSS protein within the non-soluble = chromatin-bound nuclear fraction, a significant amount of both WSS isoforms is present in the soluble nuclear fraction. Indeed, treatment of purified nuclear envelopes with an increasing concentration of NaCl as well as urea confirmed a non-covalent binding of the WSS protein to the nuclear envelope with the detachment ofbeta-WSS at a lower NaCl concentration than alpha-WSS. In regard to the chromatin-bound WSS protein, I performed hydrolysis of nuclear and nucleolar extract with DNase and RNase. The results indicate that the WSS protein is bound to DNA but not RNA, with alpha-WSS being possibly located more abundantly in the nucleolus, whereas beta-WSS within other subnuclear departments. Furthermore, in all the above-mentioned experiments, a presence of an 80-kDa protein, which specifically reacted with the polyclonal high-affinity antibodies and showed similar redistribution and chemical features as alpha- and beta-WSS, was observed. In order to investigate whether this protein is a posttranslationally modified WSS isoform, I performed deglycosylation and dephosphorylation of nuclear extract, which showed no disappearance or change in abundance of the 80-kDa band on Western blot. While other ways of poststranslational modification cannot be excluded as the cause of occurrence of the 80-kDa protein, an existence of a third, yet undescribed, major isoform is also conceivable. Summarizing, this work contributed to a deeper characterization of the WSS protein, which can help future investigators in developing new experimental ideas to better understand the pathology of WSS.
Statistical Procedures for modelling a random phenomenon heavily depend on the choice of a certain family of probability distributions. Frequently, this choice is governed by a good mathematical feasibility, but disregards that some distribution properties may contradict reality. At most, the choosen distribution may be considered as an approximation. The present thesis starts with a construction of distributions, which uses solely available information and yields distributions having greatest uncertainty in the sense of the maximum entropy principle. One of such distributions is the monotonic distribution, which is solely determined by its support and the mean. Although classical frequentist statistics provides estimation procedures which may incorporate prior information, such procedures are rarely considered. A general frequentist scheme for the construction of shortest confidence intervals for distribution parameters under prior information is presented. In particular, the scheme is used for establishing confidence intervals for the mean of the monotonic distribution and compared to classical procedures. Additionally, an approximative procedure for the upper bound of the support of the monotonic distribution is proposed. A core purpose of auditing sampling is the determination of confidence intervals for the mean of zero-inflated populations. The monotonic distribution is used for modelling such a population and is utilised for the procedure of a confidence interval under prior information for the mean. The results are compared to two-sided intervals of Stringer-type.
Morphological and Functional Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Human Lung
(2019)
In this thesis, a 3D Ultrashort echo time (3D-UTE) sequence was introduced in the Self-gated Non-Contrast-Enhanced Functional Lung Imaging (SENCEFUL) framework. The sequence was developed and implemented on a 3 Tesla MR scanner. The 3D-UTE technique consisted of a nonselective RF pulse followed by a koosh ball quasi-random sampling order of the k-space. Measurements in free-breathing and without contrast agent were performed in healthy subjects and a patient with lung cancer.
A gating technique, using a combination of different coils with high signal correlation, was evaluated in-vivo and compared with a manual approach of coil selection. The gating signal offered an estimation of the breathing motion during measurement and was used as a reference to segment the acquired data into different breathing phases.
Gradient delays and trajectory errors were corrected during post-processing using the Gradient Impulse Response Function. Iterative SENSE was then applied to determine the fully sampled data.
In order to eliminate signal changes caused by motion, a 3D image registration was employed, and the results were compared to a 2D image registration method.
Ventilation was assessed in 3D and regionally quantified by monitoring the signal changes in the lung parenchyma. Finally, image quality and quantitative ventilation values were compared to the standard 2D-SENCEFUL technique.
3D-UTE, combined with an automatic gating technique and SENCEFUL MRI, offered ventilation maps with high spatial resolution and SNR. Compared to the 2D method, UTE-SENCEFUL greatly improved the clinical quality of the structural images and the visualization of the lung parenchyma.
Through‐plane motion, partial volume effects and ventilation artifacts were also reduced with a three-dimensional method for image registration.
UTE-SENCEFUL was also able to quantify regional ventilation and presented similar results to previous studies.