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Sonstige beteiligte Institutionen
- IZKF Nachwuchsgruppe Geweberegeneration für muskuloskelettale Erkrankungen (5)
- Bernhard-Heine-Centrum für Bewegungsforschung (4)
- Zentraleinheit Klinische Massenspektrometrie (3)
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Spin- and \(k\)-resolved hard X-ray photoelectron spectroscopy (HAXPES) is a powerful tool to probe bulk electronic properties of complex metal oxides. Due to the low efficiency of common spin detectors of about \(10^{-4}\), such experiments have been rarely performed within the hard X-ray regime since the notoriously low photoionization cross sections further lower the performance tremendously. This thesis is about a new type of spin detector, which employs an imaging spin-filter with multichannel electron recording. This increases the efficiency by a factor of \(10^4\) and makes spin- and \(k\)-resolved photoemission at high excitation energies possible. Two different technical approaches were pursued in this thesis: One using a hemispherical deflection analyzer (HDA) and a separate external spin detector chamber, the other one resorting to a momentum- or \(k\)-space microscope with time-of-flight (TOF) energy recording and an integrated spin-filter crystal. The latter exhibits significantly higher count rates and - since it was designed for this purpose from scratch - the integrated spin-filter option found out to be more viable than the subsequent upgrade of an existing setup with an HDA. This instrumental development is followed by the investigation of the complex metal oxides (CMOs) KTaO\(_3\) by angle-resolved HAXPES (HARPES) and Fe\(_3\)O\(_4\) by spin-resolved HAXPES (spin-HAXPES), respectively.
KTaO\(_3\) (KTO) is a band insulator with a valence-electron configuration of Ta 5\(d^0\). By angle- and spin-integrated HAXPES it is shown that at the buried interface of LaAlO\(_3\)/KTO - by the generation of oxygen vacancies and hence effective electron doping - a conducting electron system forms in KTO. Further investigations using the momentum-resolution of the \(k\)-space TOF microscope show that these states are confined to the surface in KTO and intensity is only obtained from the center or the Gamma-point of each Brillouin zone (BZ). These BZs are furthermore square-like arranged reflecting the three-dimensional cubic crystal structure of KTO. However, from a comparison to calculations it is found that the band structure deviates from that of electron-doped bulk KTaO\(_3\) due to the confinement to the interface.
There is broad consensus that Fe\(_3\)O\(_4\) is a promising material for spintronics applications due to its high degree of spin polarization at the Fermi level. However, previous attempts to measure the spin polarization by spin-resolved photoemission spectroscopy have been hampered by the use of low photon energies resulting in high surface sensitivity. The surfaces of magnetite, though, tend to reconstruct due to their polar nature, and thus their magnetic and electronic properties may strongly deviate from each other and from the bulk, dependent on their orientation and specific preparation. In this work, the intrinsic bulk spin polarization of magnetite at the Fermi level (\(E_F\)) by spin-resolved photoelectron spectroscopy, is determined by spin-HAXPES on (111)-oriented thin films, epitaxially grown on ZnO(0001) to be \(P(E_F) = -80^{+10}_{-20}\) %.
Bacterial small RNAs (sRNAs) are widespread post-transcriptional regulators that control bacterial stress responses and virulence. Nevertheless, little is known about how they arise and evolve. Homologs can be difficult to identify beyond the strain level using sequence-based approaches, and similar functionalities can arise by convergent evolution. Here, we found that the virulence-associated CJnc190 sRNA of the foodborne pathogen Campylobacter jejuni resembles the RepG sRNA from the gastric pathogen Helicobacter pylori. However, while both sRNAs bind G-rich sites in their target mRNAs using a C/U-rich loop, they largely differ in their biogenesis. RepG is transcribed from a stand-alone gene and does not require processing, whereas CJnc190 is transcribed from two promoters as precursors that are processed by RNase III and also has a cis-encoded antagonist, CJnc180. By comparing CJnc190 homologs in diverse Campylobacter species, we show that RNase III-dependent processing of CJnc190 appears to be a conserved feature even outside of C. jejuni. We also demonstrate the CJnc180 antisense partner is expressed in C. coli, yet here might be derived from the 3’UTR (untranslated region) of an upstream flagella-related gene. Our analysis of G-tract targeting sRNAs in Epsilonproteobacteria demonstrates that similar sRNAs can have markedly different biogenesis pathways.
Comparative genomics provides structural and functional insights into Bacteroides RNA biology
(2022)
Bacteria employ noncoding RNA molecules for a wide range of biological processes, including scaffolding large molecular complexes, catalyzing chemical reactions, defending against phages, and controlling gene expression. Secondary structures, binding partners, and molecular mechanisms have been determined for numerous small noncoding RNAs (sRNAs) in model aerobic bacteria. However, technical hurdles have largely prevented analogous analyses in the anaerobic gut microbiota. While experimental techniques are being developed to investigate the sRNAs of gut commensals, computational tools and comparative genomics can provide immediate functional insight. Here, using Bacteroides thetaiotaomicron as a representative microbiota member, we illustrate how comparative genomics improves our understanding of RNA biology in an understudied gut bacterium. We investigate putative RNA-binding proteins and predict a Bacteroides cold-shock protein homolog to have an RNA-related function. We apply an in silico protocol incorporating both sequence and structural analysis to determine the consensus structures and conservation of nine Bacteroides noncoding RNA families. Using structure probing, we validate and refine these predictions and deposit them in the Rfam database. Through synteny analyses, we illustrate how genomic coconservation can serve as a predictor of sRNA function. Altogether, this work showcases the power of RNA informatics for investigating the RNA biology of anaerobic microbiota members.
In this thesis, I study entanglement in quantum field theory, using methods from operator algebra theory. More precisely, the thesis covers original research on the entanglement properties of the free fermionic field. After giving a pedagogical introduction to algebraic methods in quantum field theory, as well as the modular theory of Tomita-Takesaki and its relation to entanglement, I present a coherent framework that allows to solve Tomita-Takesaki theory for free fermionic fields in any number of dimensions. Subsequently, I use the derived machinery on the free massless fermion in two dimensions, where the formulae can be evaluated analytically. In particular, this entails the derivation of the resolvent of restrictions of the propagator, by means of solving singular integral equations. In this way, I derive the modular flow, modular Hamiltonian, modular correlation function, R\'enyi entanglement entropy, von-Neumann entanglement entropy, relative entanglement entropy, and mutual information for multi-component regions. All of this is done for the vacuum and thermal states, both on the infinite line and the circle with (anti-)periodic boundary conditions. Some of these results confirm previous results from the literature, such as the modular Hamiltonian and entanglement entropy in the vacuum state. The non-universal solutions for modular flow, modular correlation function, and R\'enyi entropy, however are new, in particular at finite temperature on the circle. Additionally, I show how boundaries of spacetime affect entanglement, as well as how one can define relative (entanglement) entropy and mutual information in theories with superselection rules. The findings regarding modular flow in multi-component regions can be summarised as follows: In the non-degenerate vacuum state, modular flow is multi-local, in the sense that it mixes the field operators along multiple trajectories, with one trajectory per component. This was already known from previous literature but is presented here in a more explicit form. In particular, I present the exact solution for the dynamics of the mixing process. What was not previously known at all, is that the modular flow of the thermal state on the circle is infinitely multi-local even for a connected region, in the sense that it mixes the field along an infinite, discretely distributed set, of trajectories. In the limit of high temperatures, all trajectories but the local one are pushed towards the boundary of the region, where their amplitude is damped exponentially, leaving only the local result. At low temperatures, on the other hand, these trajectories distribute densely in the region to either---for anti-periodic boundary conditions---cancel, or---for periodic boundary conditions---recover the non-local contribution due to the degenerate vacuum state. Proceeding to spacetimes with boundaries, I show explicitly how the presence of a boundary implies entanglement between the two components of the Dirac spinor. By computing the mutual information between the components inside a connected region, I show quantitatively that this entanglement decreases as an inverse square law at large distances from the boundary. In addition, full conformal symmetry (which is explicitly broken due to the presence of a boundary) is recovered from the exact solution for modular flow, far away from the boundary. As far as I know, all of these results are new, although related results were published by another group during the final stage of this thesis. Finally, regarding relative entanglement entropy in theories with superselection sectors, I introduce charge and flux resolved relative entropies, which are novel measures for the distinguishability of states, incorporating a charge operator, central to the algebra of observables. While charge resolved relative entropy has the interpretation of being a ``distinguishability per charge sector'', I argue that it is physically meaningless without placing a cutoff, due to infinite short-distance entanglement. Flux resolved relative entropy, on the other hand, overcomes this problem by inserting an Aharonov-Bohm flux and thus passing to a variant of the grand canonical ensemble. It takes a well defined value, even without putting a cutoff, and I compute its value between various states of the free massless fermion on the line, the charge operator being the total fermion number.
One consequence of the recent coronavirus pandemic is increased demand and use of online services around the globe. At the same time, performance requirements for modern technologies are becoming more stringent as users become accustomed to higher standards. These increased performance and availability requirements, coupled with the unpredictable usage growth, are driving an increasing proportion of applications to run on public cloud platforms as they promise better scalability and reliability.
With data centers already responsible for about one percent of the world's power consumption, optimizing resource usage is of paramount importance. Simultaneously, meeting the increasing and changing resource and performance requirements is only possible by optimizing resource management without introducing additional overhead. This requires the research and development of new modeling approaches to understand the behavior of running applications with minimal information.
However, the emergence of modern software paradigms makes it increasingly difficult to derive such models and renders previous performance modeling techniques infeasible. Modern cloud applications are often deployed as a collection of fine-grained and interconnected components called microservices. Microservice architectures offer massive benefits but also have broad implications for the performance characteristics of the respective systems. In addition, the microservices paradigm is typically paired with a DevOps culture, resulting in frequent application and deployment changes. Such applications are often referred to as cloud-native applications. In summary, the increasing use of ever-changing cloud-hosted microservice applications introduces a number of unique challenges for modeling the performance of modern applications. These include the amount, type, and structure of monitoring data, frequent behavioral changes, or infrastructure variabilities. This violates common assumptions of the state of the art and opens a research gap for our work.
In this thesis, we present five techniques for automated learning of performance models for cloud-native software systems. We achieve this by combining machine learning with traditional performance modeling techniques. Unlike previous work, our focus is on cloud-hosted and continuously evolving microservice architectures, so-called cloud-native applications. Therefore, our contributions aim to solve the above challenges to deliver automated performance models with minimal computational overhead and no manual intervention. Depending on the cloud computing model, privacy agreements, or monitoring capabilities of each platform, we identify different scenarios where performance modeling, prediction, and optimization techniques can provide great benefits. Specifically, the contributions of this thesis are as follows:
Monitorless: Application-agnostic prediction of performance degradations.
To manage application performance with only platform-level monitoring, we propose Monitorless, the first truly application-independent approach to detecting performance degradation. We use machine learning to bridge the gap between platform-level monitoring and application-specific measurements, eliminating the need for application-level monitoring. Monitorless creates a single and holistic resource saturation model that can be used for heterogeneous and untrained applications. Results show that Monitorless infers resource-based performance degradation with 97% accuracy. Moreover, it can achieve similar performance to typical autoscaling solutions, despite using less monitoring information.
SuanMing: Predicting performance degradation using tracing.
We introduce SuanMing to mitigate performance issues before they impact the user experience. This contribution is applied in scenarios where tracing tools enable application-level monitoring. SuanMing predicts explainable causes of expected performance degradations and prevents performance degradations before they occur. Evaluation results show that SuanMing can predict and pinpoint future performance degradations with an accuracy of over 90%.
SARDE: Continuous and autonomous estimation of resource demands.
We present SARDE to learn application models for highly variable application deployments. This contribution focuses on the continuous estimation of application resource demands, a key parameter of performance models. SARDE represents an autonomous ensemble estimation technique. It dynamically and continuously optimizes, selects, and executes an ensemble of approaches to estimate resource demands in response to changes in the application or its environment. Through continuous online adaptation, SARDE efficiently achieves an average resource demand estimation error of 15.96% in our evaluation.
DepIC: Learning parametric dependencies from monitoring data.
DepIC utilizes feature selection techniques in combination with an ensemble regression approach to automatically identify and characterize parametric dependencies. Although parametric dependencies can massively improve the accuracy of performance models, DepIC is the first approach to automatically learn such parametric dependencies from passive monitoring data streams. Our evaluation shows that DepIC achieves 91.7% precision in identifying dependencies and reduces the characterization prediction error by 30% compared to the best individual approach.
Baloo: Modeling the configuration space of databases.
To study the impact of different configurations within distributed DBMSs, we introduce Baloo. Our last contribution models the configuration space of databases considering measurement variabilities in the cloud. More specifically, Baloo dynamically estimates the required benchmarking measurements and automatically builds a configuration space model of a given DBMS. Our evaluation of Baloo on a dataset consisting of 900 configuration points shows that the framework achieves a prediction error of less than 11% while saving up to 80% of the measurement effort.
Although the contributions themselves are orthogonally aligned, taken together they provide a holistic approach to performance management of modern cloud-native microservice applications.
Our contributions are a significant step forward as they specifically target novel and cloud-native software development and operation paradigms, surpassing the capabilities and limitations of previous approaches.
In addition, the research presented in this paper also has a significant impact on the industry, as the contributions were developed in collaboration with research teams from Nokia Bell Labs, Huawei, and Google.
Overall, our solutions open up new possibilities for managing and optimizing cloud applications and improve cost and energy efficiency.
Efficacy of transcranial direct current stimulation in people with multiple sclerosis: a review
(2022)
Background and purpose
Multiple sclerosis (MS) is a chronic inflammatory disease causing a wide range of symptoms including motor and cognitive impairment, fatigue and pain. Over the last two decades, non-invasive brain stimulation, especially transcranial direct current stimulation (tDCS), has increasingly been used to modulate brain function in various physiological and pathological conditions. However, its experimental applications for people with MS were noted only as recently as 2010 and have been growing since then. The efficacy for use in people with MS remains questionable with the results of existing studies being largely conflicting. Hence, the aim of this review is to paint a picture of the current state of tDCS in MS research grounded on studies applying tDCS that have been done to date.
Methods
A keyword search was performed to retrieve articles from the earliest article identified until 14 February 2021 using a combination of the groups (1) ‘multiple sclerosis’, ‘MS’ and ‘encephalomyelitis’ and (2) ‘tDCS’ and ‘transcranial direct current stimulation’.
Results
The analysis of the 30 articles included in this review underlined inconsistent effects of tDCS on the motor symptoms of MS based on small sample sizes. However, tDCS showed promising benefits in ameliorating fatigue, pain and cognitive symptoms.
Conclusion
Transcranial direct current stimulation is attractive as a non-drug approach in ameliorating MS symptoms, where other treatment options remain limited. The development of protocols tailored to the individual's own neuroanatomy using high definition tDCS and the introduction of network mapping in the experimental designs might help to overcome the variability between studies.
The genetic modification of T cells for the expression a chimeric antigen receptor (CAR) endows them with a new specificity for an antigen. Adoptive immunotherapy with CD19-CAR T cells has achieved high rates of sustained complete remissions in B cell malignancies. However, the downregulation or loss of the targeted antigen after mono-specific CAR T cell therapy, e.g. against CD19 or CD22, has been reported. Targeting multiple antigens on tumour cells, sequentially or simultaneously, could overcome this limitation. Additionally, targeting multiple antigens with CAR T cells could drive the translation from hematologic malignancies to prevalent solid cancers, which often express tumour-associated antigens heterogeneously. We hypothesised that expression of a universal CAR, which can be programmed with hapten-like molecules, could endow T cells with specificities for multiple antigens.
In this study we introduce a novel chemically programmable CAR (cpCAR) based on monoclonal antibody h38C2. Our data show, that cpCARs form a reversible chemical bond to molecules containing a diketone-group and therefore can be programmed to acquire multiple specificities. We programmed cpCAR T cells with hapten-like compounds against integrins αvβ3 and α4β1 as well as the folate receptor. We observed tumour cell lysis, IFN ɣ and IL-2 production and proliferation of programmed cpCAR T cells against tumour cells expressing the respective target antigen in vitro.
As a reference to cpCARs programmed against αvβ3, we further introduced novel conventional αvβ3-CARs. These CARs, based on humanised variants of monoclonal antibody LM609 (hLM609), directly bind to integrin αvβ3 via their scFv. The four αvβ3-CAR constructs comprised either an scFv with higher affinity (hLM609v7) or lower affinity (hLM609v11) against αvβ3 integrin and either a long (IgG4 hinge, CH2, CH3) or short (IgG4 hinge) extracellular spacer. We selected the hLM609v7-CAR with short spacer, which showed potent anti-tumour reactivity both in vitro and in a murine xenograft model, for comparison with the cpCAR programmed against αvβ3. Our data show specific lysis of αvβ3-positive tumour cells, cytokine production and proliferation of both hLM609-CAR T cells and cpCAR T cells in vitro. However, conventional hLM609-CAR T cells mediated stronger anti-tumour effects compared to cpCAR T cells in the same amount of time. In line with the in vitro data, complete destruction of tumour lesions in a murine melanoma xenograft model was only observed for mice treated with conventional αvβ3-CAR T cells.
Collectively, we introduce a cpCAR, which can be programmed against multiple tumour antigens, and hLM609-CARs specific for the integrin αvβ3. The cpCAR technology bears the potential to counteract current limitations, e.g. antigen loss, of current monospecific CAR T cell therapy. Targeting αvβ3 integrin with CAR T cells could have clinical applications in the treatment of solid malignancies, because αvβ3 is not only expressed on a variety of solid malignancies, but also on tumour-associated vasculature and fibroblast.
DNA damage occurs frequently during normal cellular progresses or by environmental factors. To preserve the genome integrity, DNA damage response (DDR) has evolved to repair DNA and the non-properly repaired DNA induces human diseases like immune deficiency and cancer. Since a large number of proteins involved in DDR are enzymes of ubiquitin system, it is critical to investigate how the ubiquitin system regulates cellular response to DNA damage. Hereby, we reveal a novel mechanism for DDR regulation via activation of SCF ubiquitin ligase upon DNA damage.
As an essential step for DNA damage-induced inhibition of DNA replication, Cdc25A degradation by the E3 ligase β-TrCP upon DNA damage requires the deubiquitinase Usp28. Usp28 deubiquitinates β-TrCP in response to DNA damage, thereby promotes its dimerization, which is required for its activity in substrate ubiquitination and degradation. Particularly, ubiquitination at a specific lysine on β-TrCP suppresses dimerization.
The key mediator protein of DDR, 53BP1, forms oligomers and associates with β-TrCP to inhibit its activity in unstressed cells. Upon DNA damage, 53BP1 is degraded in the nucleoplasm, which requires oligomerization and is promoted by Usp28 in a β-TrCP-dependent manner. Consequently, 53BP1 destruction releases and activates β-TrCP during DNA damage response.
Moreover, 53BP1 deletion and DNA damage promote β-TrCP dimerization and recruitment to chromatin sites that locate in the vicinity of putative replication origins. Subsequently, the chromatin-associated Cdc25A is degraded by β-TrCP at the origins. The stimulation of β-TrCP binding to the origins upon DNA damage is accompanied by unloading of Cdc45, a crucial component of pre-initiation complexes for replication. Loading of Cdc45 to origins is a key Cdk2-dependent step for DNA replication initiation, indicating that localized Cdc25A degradation by β-TrCP at origins inactivates Cdk2, thereby inhibits the initiation of DNA replication.
Collectively, this study suggests a novel mechanism for the regulation of DNA replication upon DNA damage, which involves 53BP1- and Usp28-dependent activation of the SCF(β-TrCP) ligase in Cdc25A degradation.
Articular cartilage is a highly specialized tissue which provides a lubricated gliding surface in joints and thereby enables low-friction movement. If damaged once it has a very low intrinsic healing capacity and there is still no treatment in the clinic which can restore healthy cartilage tissue. 3D biofabrication presents a promising perspective in the field by combining healthy cells and bioactive ink materials. Thereby, the composition of the applied bioink is crucial for defect restoration, as it needs to have the physical properties for the fabrication process and also suitable chemical cues to provide a supportive environment for embedded cells. In the last years, ink compositions with high polymer contents and crosslink densities were frequently used to provide 3D printability and construct stability. But these dense polymeric networks were often associated with restricted bioactivity and impaired cell processes like differentiation and the distribution of newly produced extracellular matrix (ECM), which is especially important in the field of cartilage engineering. Therefore, the aim of this thesis was the development of hyaluronic acid (HA)-based bioinks with a reduced polymer content which are 3D printable and additionally facilitate chondrogenic differentiation of mesenchymal stromal cells (MSCs) and the homogeneous distribution of newly produced ECM. Starting from not-printable hydrogels with high polymer contents and restricted bioactivity, distinct stepwise improvements were achieved regarding stand-alone 3D printability as well as MSC differentiation and homogeneous ECM distribution. All newly developed inks in this thesis made a valuable contribution in the field of cartilage regeneration and represent promising approaches for potential clinical applications. The underlying mechanisms and established ink design criteria can further be applied to other biofabricated tissues, emphasizing their importance also in a more general research setting.
Lack of acid sphingomyelinase (ASM) activity, either through genetic deficiency or through pharmacological inhibition, is linked with increased activity and frequency of Foxp3+ regulatory T cells (Treg) among cluster of differentiation (CD) 4+ T cells in mice in vivo and in vitro1. Thus, pharmacological blockade of ASM activity, which catalyzes the cleavage of sphingomyelin to ceramide and phosphocholine, might be used as a new therapeutic mechanism to correct numeric and/ or functional Treg de-ficiencies in diseases like multiple sclerosis or major depression.
In the present study, the effect of pharmacological inhibition of ASM in humans, in vitro and in vivo, was analyzed. In the in vitro experiments, peripheral blood mono-nuclear cells (PBMC) of healthy human blood donors were treated with two widely prescribed antidepressants with high (sertraline, Ser) or low (citalopram, Cit) capaci-ty to inhibit ASM activity. Similar to the findings in mice an increase in the frequency of Treg among human CD4+ T cells upon inhibition of ASM activity was observed. For the analysis in vivo, a prospective study of the composition of the CD4+ T cell com-partment of patients treated for major depression was done. The data show that pharmacological inhibition of ASM activity was superior to antidepressants with little or no ASM-inhibitory activity in increasing CD45RA- CD25high effector Treg (efTreg) frequencies among CD4+ T cells to normal levels. Independently of ASM inhibition, correlating the data with the clinical response, i.e. improvement of the Hamilton rat-ing scale for depression (HAMD) by at least 50 per cent (%) after four weeks of treatment, it was found that an increase in efTreg frequencies among CD4+ cells dur-ing the first week of treatment identified patients with a clinical response.
Regarding the underlying mechanism, it could be found that the positive effect of ASM inhibition on Treg required CD28 co-stimulation suggesting that enhanced CD28 co-stimulation was the driver of the observed increase in the frequency of Treg among human CD4+ T cells. Inhibition of ASM activity was further associated with changes in the expression and shuttling of CTLA-4, a key inhibitory molecule ex-pressed by Treg, between cellular compartments but the suppressive activity of CTLA-4 through its transendocytosis activity was unaffected by the inhibition of ASM activity.
In summary, the frequency of (effector) Treg among CD4+ T cells in mice and in hu-mans is increased after inhibition of ASM activity suggesting that ASM blockade might beneficially modulate autoimmune diseases and depression-promoting in-flammation.
Wilms tumor (WT) or nephroblastoma is the most common kidney tumor in childhood. Several genetic alterations have been identified in WT over the past years. However, a clear-cut underlying genetic defect has remained elusive. Growing evidence suggests that miRNA processing genes play a major role in the formation of pediatric tumors, including WT.
We and others have identified the microprocessor genes DROSHA and DGCR8 as key players in Wilms tumorigenesis. Exome sequence analysis of a cohort of blastemal-type WTs revealed the recurrent hotspot mutations DROSHA E1147K and DGCR8 E518K mapping to regions important for catalyic activity and RNA-binding. These alterations were expected to affect processing of miRNA precursors, ultimately leading to altered miRNA expression. Indeed, mutated tumor samples were characterized by distinct miRNA patterns. Notably, these mutations have been observed almost exclusively in WT, suggesting that they play a specific role in WT formation.
The aim of the present work was to first examine the mutation frequency of DROSHA E1147K and DGCR8 E518K in a larger cohort of WTs, and to further characterize these microprocessor gene mutations as potential oncogenic drivers for WT formation.
Screening of additional 700 WT samples by allele-specific PCR revealed a high frequency of DROSHA E1147K and DGCR8 E518K mutations, with the highest incidence found in tumors of high-risk histology. DROSHA E1147K was heterozygously expressed in all cases, which strongly implies a dominant negative effect. In contrast, DGCR8 E518K exclusively exhibited homozygous expression, suggestive for the mutation to act recessive.
To functionally assess the mutations of the microprocessor complex in vitro, I generated stable HEK293T cell lines with inducible overexpression of DROSHA E1147K, and stable mouse embryonic stem cell (mESC) lines with inducible overexpression of DGCR8 E518K. To mimic the homozygous expression observed in WT, DGCR8 mESC lines were generated on a DGCR8 knockout background. Inducible overexpression of wild-type or mutant DROSHA in HEK293T cells showed that DROSHA E1147K leads to a global downregulation of miRNA expression. It has previously been shown that the knockout of DGCR8 in mESCs also results in a significant downregulation of canonical miRNAs. Inducible overexpression of wild type DGCR8 rescued this processing defect. DGCR8 E518K on the other hand, only led to a partial rescue. Differentially expressed miRNAs comprised members of the ESC cell cycle (ESCC) and let-7 miRNA families whose antagonism is known to play a pivotal role in the regulation of stem cell properties. Along with altered miRNA expression, DGCR8-E518K mESCs exhibited alterations in target gene expression potentially affecting various biological processes.
We could observe decreased proliferation rates, most likely due to reduced cell viability. DGCR8-E518K seemed to be able to overcome the block of G1-S transition and to rescue the cell cycle defect in DGCR8-KO mESCs, albeit not to the full extent like DGCR8-wild-type. Moreover, DGCR8-E518K appeared to be unable to completely block epithelial-to-mesenchymal transition (EMT). Embryoid bodies (EBs) with the E518K mutation, however, were still able to silence the self-renewal program rescuing the differentiation defect in DGCR8-KO mESCs.
Taken together, I could show that DROSHA E1147K and DGCR8 E518K are frequent events in WT with the highest incidence in high-risk tumor entities. Either mutation led to altered miRNA expression in vitro confirming our previous findings in tumor samples. While the DROSHA E1147K mutation resulted in a global downregulation of canonical miRNAs, DGCR8 E518K was able to retain significant activity of the microprocessor complex, suggesting that partial reduction of activity or altered specificity may be critical in Wilms tumorigenesis.
Despite the significant differences found in the miRNA and mRNA profiles of DGCR8 E518K and DGCR8-wild-type mESCs, functional analysis showed that DGCR8 E518K could mostly restore important cellular functions in the knockout and only slightly differed from the wild-type situation. Further studies in a rather physiological environment, such as in a WT blastemal model system, may additionally help to better assess the subtle differences between DGCR8 E518K and DGCR8 wild-type observed in our mESC lines. Together with our findings, these model systems may thus contribute to better understand the role of these microprocessor mutations in the formation of WT.
Background
Epithelioid haemangioma (EH) arising from the skin is a benign vascular tumour with marked inflammatory cell infiltration, which exhibits a high tendency to persist and frequently recurs after resection. So far, the underlying pathogenesis is largely elusive.
Objectives
To identify genetic alterations by next-generation sequencing and/or droplet digital polymerase chain reaction (ddPCR) in cutaneous EH.
Methods
DNA and RNA from an EH lesion of an index patient were subjected to whole-genome and RNA sequencing. Multiplex PCR-based panel sequencing of genomic DNA isolated from archival formalin-fixed paraffin-embedded tissue of 18 patients with cutaneous EH was performed. ddPCR was used to confirm mutations.
Results
We identified somatic mutations in genes of the mitogen-activated protein kinase (MAPK) pathway (MAP2K1 and KRAS) in cutaneous EH biopsies. By ddPCR we could confirm the recurrent presence of activating, low-frequency mutations affecting MAP2K1. In total, nine out of 18 patients analysed showed activating MAPK pathway mutations, which were mutually exclusive. Comparative analysis of tissue areas enriched for lymphatic infiltrate or aberrant endothelial cells, respectively, revealed an association of these mutations with the presence of endothelial cells.
Conclusions
Taken together, our data suggest that EH shows somatic mutations in genes of the MAPK pathway which might contribute to the formation of this benign tumour.
Background
Pemphigus vulgaris and pemphigus foliaceus are potentially life-threatening autoimmune disorders triggered by IgG autoantibodies against mucosal and epidermal desmogleins. There is an unmet need for fast-acting drugs that enable patients to achieve early sustained remission with reduced corticosteroid reliance.
Objectives
To investigate efgartigimod, an engineered Fc fragment that inhibits the activity of the neonatal Fc receptor, thereby reducing serum IgG levels, for treating pemphigus.
Methods
Thirty-four patients with mild-to-moderate pemphigus vulgaris or foliaceus were enrolled in an open-label phase II adaptive trial. In sequential cohorts, efgartigimod was dosed at 10 or 25 mg kg\(^{-1}\) intravenously with various dosing frequencies, as monotherapy or as add-on therapy to low-dose oral prednisone. Safety endpoints comprised the primary outcome. The study is registered at ClinicalTrials.gov (identifier NCT03334058).
Results
Adverse events were mostly mild and were reported by 16 of 19 (84%) patients receiving efgartigimod 10 mg kg\(^{-1}\) and 13 of 15 (87%) patients receiving 25 mg kg−1, with similar adverse event profiles between dose groups. A major decrease in serum total IgG and anti-desmoglein autoantibodies was observed and correlated with improved Pemphigus Disease Area Index scores. Efgartigimod, as monotherapy or combined with prednisone, demonstrated early disease control in 28 of 31 (90%) patients after a median of 17 days. Optimized, prolonged treatment with efgartigimod in combination with a median dose of prednisone 0·26 mg \(^{-1}\) per day (range 0·06–0·48) led to complete clinical remission in 14 of 22 (64%) patients within 2–41 weeks.
Conclusions
Efgartigimod was well tolerated and exhibited an early effect on disease activity and outcome parameters, providing support for further evaluation as a therapy for pemphigus.
Climate and land-use change are key drivers of environmental degradation in the Anthropocene, but too little is known about their interactive effects on biodiversity and ecosystem services. Long-term data on biodiversity trends are currently lacking. Furthermore, previous ecological studies have rarely considered climate and land use in a joint design, did not achieve variable independence or lost statistical power by not covering the full range of environmental gradients.
Here, we introduce a multi-scale space-for-time study design to disentangle effects of climate and land use on biodiversity and ecosystem services. The site selection approach coupled extensive GIS-based exploration (i.e. using a Geographic information system) and correlation heatmaps with a crossed and nested design covering regional, landscape and local scales. Its implementation in Bavaria (Germany) resulted in a set of study plots that maximise the potential range and independence of environmental variables at different spatial scales.
Stratifying the state of Bavaria into five climate zones (reference period 1981–2010) and three prevailing land-use types, that is, near-natural, agriculture and urban, resulted in 60 study regions (5.8 × 5.8 km quadrants) covering a mean annual temperature gradient of 5.6–9.8°C and a spatial extent of ~310 × 310 km. Within these regions, we nested 180 study plots located in contrasting local land-use types, that is, forests, grasslands, arable land or settlement (local climate gradient 4.5–10°C). This approach achieved low correlations between climate and land use (proportional cover) at the regional and landscape scale with |r ≤ 0.33| and |r ≤ 0.29| respectively. Furthermore, using correlation heatmaps for local plot selection reduced potentially confounding relationships between landscape composition and configuration for plots located in forests, arable land and settlements.
The suggested design expands upon previous research in covering a significant range of environmental gradients and including a diversity of dominant land-use types at different scales within different climatic contexts. It allows independent assessment of the relative contribution of multi-scale climate and land use on biodiversity and ecosystem services. Understanding potential interdependencies among global change drivers is essential to develop effective restoration and mitigation strategies against biodiversity decline, especially in expectation of future climatic changes. Importantly, this study also provides a baseline for long-term ecological monitoring programs.
Gazes are of central relevance for people. They are crucial for navigating the world and communicating with others. Nevertheless, research in recent years shows that many findings from experimental research on gaze behavior cannot be transferred from the laboratory to everyday behavior. For example, the frequency with which conspecifics are looked at is considerably higher in experimental contexts than what can be observed in daily behavior. In short: findings from laboratories cannot be generalized into general statements. This thesis is dedicated to this matter. The dissertation describes and documents the current state of research on social attention through a literature review, including a meta-analysis on the /gaze cueing/ paradigm and an empirical study on the robustness of gaze following behavior. In addition, virtual reality was used in one of the first studies in this research field. Virtual reality has the potential to significantly improve the transferability of experimental laboratory studies to everyday behavior. This is because the technology enables a high degree of experimental control in naturalistic research designs. As such, it has the potential to transform empirical research in the same way that the introduction of computers to psychological research did some 50 years ago. The general literature review on social attention is extended to the classic /gaze cueing/ paradigm through a systematic review of publications and a meta-analytic evaluation (Study 1). The cumulative evidence supported the findings of primary studies: Covert spatial attention is directed by faces. However, the experimental factors included do not explain the surprisingly large variance in the published results. Thus, there seem to be further, not well-understood variables influencing these social processes. Moreover, classic /gaze cueing/ studies have limited ecological validity. This is discussed as a central reason for the lack of generalisability. Ecological validity describes the correspondence between experimental factors and realistic situations. A stimulus or an experimental design can have high and low ecological validity on different dimensions and have different influences on behavior. Empirical research on gaze following behavior showed that the /gaze cueing/ effect also occurs with contextually embedded stimuli (Study 2). The contextual integration of the directional cue contrasted classical /gaze cueing/ studies, which usually show heads in isolation. The research results can thus be transferred /within/ laboratory studies to higher ecologically valid research paradigms. However, research shows that the lack of ecological validity in experimental designs significantly limits the transferability of experimental findings to complex situations /outside/ the laboratory. This seems to be particularly the case when social interactions and norms are investigated. However, ecological validity is also often limited in these studies for other factors, such as contextual embedding /of participants/, free exploration behavior (and, thus, attentional control), or multimodality. In a first study, such high ecological validity was achieved for these factors with virtual reality, which could not be achieved in the laboratory so far (Study 3). Notably, the observed fixation patterns showed differences even under /most similar/ conditions in the laboratory and natural environments. Interestingly, these were similar to findings also derived from comparisons of eye movement in the laboratory and field investigations. These findings, which previously came from hardly comparable groups, were thus confirmed by the present Study 3 (which did not have this limitation). Overall, /virtual reality/ is a new technical approach to contemporary social attention research that pushes the boundaries of previous experimental research. The traditional trade-off between ecological validity and experimental control thus becomes obsolete, and laboratory studies can closely inherit an excellent approximation of reality. Finally, the present work describes and discusses the possibilities of this technology and its practical implementation. Within this context, the extent to which this development can still guarantee a constructive classification of different laboratory tests in the future is examined.
Motoneurons are highly compartmentalized cells with very long extensions that separate their nerve terminals from cell bodies. To maintain their extensive morphological complexity and protect their cellular integrity from neurotoxic stresses, neurons rely on the functions of RNA-binding proteins. One such protein is hnRNP R, a multifunctional protein with a plethora of roles related to RNA metabolism that comes into play in the nervous system. hnRNP R is localized mainly in the nucleus but also exists in the cytoplasm and axons of motoneurons. Increasing in vitro evidence indicates a potential function of hnRNP R in the development and maintenance of motoneurons by regulating axon growth and axonal RNA transport. Additionally, hnRNP R interacts with several proteins involved in motoneuron diseases. Hnrnpr pre-mRNA undergoes alternative splicing to produce transcripts encoding two protein isoforms: a full-length protein (hnRNP R-FL) and a shorter form lacking the N-terminal acidic domain (hnRNP R-ΔN). While the neuronal defects produced by total hnRNP R depletion have been investigated before, the contribution of individual isoforms towards such functions has remained mostly unknown.
In this study, we showed that while both isoforms are expressed across multiple tissues, the full-length isoform is particularly abundant in the nervous system. We generated a mouse model for selective knockout of the full-length hnRNP R isoform (Hnrnprtm1a/tm1a) and found that the hnRNP R-∆N isoform remains expressed in these mice and is upregulated in a compensatory post-transcriptional process. We found that the truncated isoform is sufficient to support subcellular RNA transport related to axon growth in primary motoneurons. However, Hnrnprtm1a/tm1a mice show defects in DNA damage repair after exposure to γ-irradiation and etoposide. Knock down of both hnRNP R isoforms showed a similar extent of DNA damage as for motoneurons depleted of just full-length hnRNP R. Rescue experiments showed that expression of full-length hnRNP R but not of hnRNP R-ΔN can restore DNA damage repair when endogenous hnRNP R is depleted. By performing subcellular fractionation, we found that hnRNP R associates with chromatin independently from its association with pre-mRNA. Interestingly, we show that hnRNP R interacts with phosphorylated histone H2AX (γ-H2AX), following DNA damage. Proteomics analysis identifies the multifunctional protein Y-box binding protein 1 (Yb1) as one of the top interacting partners of hnRNP R. Similar to loss of full-length hnRNP R, DNA damage repair was impaired upon knockdown of Yb1 in motoneurons. Finally, we show that following exposure to γ-irradiation, Yb1 is recruited to the chromatin where it interacts with γ-H2AX, a mechanism that is dependent on the full-length hnRNP R.
Taken together, this study describes a novel function of the full-length isoform of hnRNP R in maintaining the genomic integrity of motoneurons and provides new mechanistic insights into its function in DNA damage response.
Pollen beetles (Brassicogethes spp.) are the main pests of oilseed rape (OSR, Brassica napus) in Europe and responsible for massive yield losses. Upcoming pesticide resistances highlight the need for other means of crop protection, such as natural pest control. Sown flower fields aim to counteract the decrease of insect biodiversity in agricultural landscapes by providing resources to ecosystem service providers. However, the optimal age and size of flower fields to increase natural pest control is still unclear.
We conducted experiments on 31 OSR fields located along a gradient of landscape-scale semi-natural habitat (SNH). OSR fields were located adjacent to flower fields which differed in age, continuity and size, or adjacent to crop fields or calcareous grasslands. Pesticide-free areas were established to examine interactive effects of pesticide use and flower field characteristics. The abundance of pollen beetle adults and larvae, parasitism and superparasitism rates in OSR were recorded at increasing distances to the adjacent sites.
Flower fields and calcareous grasslands increased pollen beetle parasitism when compared to OSR fields neighbouring crop fields. The threshold for effective natural pest control of 35% could be reached in the pesticide-free areas of OSR fields adjacent to calcareous grasslands and flower fields maintained continuously for at least 6 years. In pesticide-sprayed areas, pollen beetle parasitism and superparasitism declined with increasing distance to the adjacent field. Furthermore, flower fields larger than 1.5 ha were able to improve pollen beetle parasitism more than smaller fields.
Synthesis and applications. To promote natural pest control in oilseed rape (OSR), large flower fields should be maintained for several years, to create stable habitats for natural enemies. The continuous maintenance of flower fields should be preferred, as ploughing and resowing after 5–6 years decreased the positive effects of the flower fields on natural pest control in adjacent OSR fields. However, pesticide use can abrogate positive effects of flower fields on pollen beetle parasitism. This study highlights that sown flower fields have the potential to increase natural pest control in OSR, but this potential is depending on its age, continuity and size and can be hindered by pesticide use.
The Multiweek Thermal Stability of Medical-Grade Poly(ε-caprolactone) During Melt Electrowriting
(2022)
Melt electrowriting (MEW) is a high-resolution additive manufacturing technology that places unique constraints on the processing of thermally degradable polymers. With a single nozzle, MEW operates at low throughput and in this study, medical-grade poly(ε-caprolactone) (PCL) is heated for 25 d at three different temperatures (75, 85, and 95 °C), collecting daily samples. There is an initial increase in the fiber diameter and decrease in the jet speed over the first 5 d, then the MEW process remains stable for the 75 and 85 °C groups. When the collector speed is fixed to a value at least 10% above the jet speed, the diameter remains constant for 25 d at 75 °C and only increases with time for 85 and 95 °C. Fiber fusion at increased layer height is observed for 85 and 95 °C, while the surface morphology of single fibers remain similar for all temperatures. The properties of the prints are assessed with no observable changes in the degree of crystallinity or the Young's modulus, while the yield strength decreases in later phases only for 95 °C. After the initial 5-d period, the MEW processing of PCL at 75 °C is extraordinarily stable with overall fiber diameters averaging 13.5 ± 1.0 µm over the entire 25-d period.
Purpose
Image acquisition and subsequent manual analysis of cardiac cine MRI is time-consuming. The purpose of this study was to train and evaluate a 3D artificial neural network for semantic segmentation of radially undersampled cardiac MRI to accelerate both scan time and postprocessing.
Methods
A database of Cartesian short-axis MR images of the heart (148,500 images, 484 examinations) was assembled from an openly accessible database and radial undersampling was simulated. A 3D U-Net architecture was pretrained for segmentation of undersampled spatiotemporal cine MRI. Transfer learning was then performed using samples from a second database, comprising 108 non-Cartesian radial cine series of the midventricular myocardium to optimize the performance for authentic data. The performance was evaluated for different levels of undersampling by the Dice similarity coefficient (DSC) with respect to reference labels, as well as by deriving ventricular volumes and myocardial masses.
Results
Without transfer learning, the pretrained model performed moderately on true radial data [maximum number of projections tested, P = 196; DSC = 0.87 (left ventricle), DSC = 0.76 (myocardium), and DSC =0.64 (right ventricle)]. After transfer learning with authentic data, the predictions achieved human level even for high undersampling rates (P = 33, DSC = 0.95, 0.87, and 0.93) without significant difference compared with segmentations derived from fully sampled data.
Conclusion
A 3D U-Net architecture can be used for semantic segmentation of radially undersampled cine acquisitions, achieving a performance comparable with human experts in fully sampled data. This approach can jointly accelerate time-consuming cine image acquisition and cumbersome manual image analysis.
Here, a postpolymerization modification method for an α-terminal functionalized poly-(N-methyl-glycine), also known as polysarcosine, is introduced. 4-(Methylthio)phenyl piperidine-4-carboxylate as an initiator for the ring-opening polymerization of N-methyl-glycine-N-carboxyanhydride followed by oxidation of the thioester group to yield an α-terminal reactive 4-(methylsulfonyl)phenyl piperidine-4-carboxylate polymer is utilized. This represents an activated carboxylic acid terminus, allowing straightforward modification with nucleophiles under mild reaction conditions and provides the possibility to introduce a wide variety of nucleophiles as exemplified using small molecules, fluorescent dyes, and model proteins. The new initiator yielded polymers with well-defined molar mass, low dispersity, and high end-group fidelity, as observed by gel permeation chromatography, nuclear magnetic resonance spectroscopy, and matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy. The introduced method can be of great interest for bioconjugation, but requires optimization, especially for protein conjugation.
3D bioprinting often involves application of highly concentrated polymeric bioinks to enable fabrication of stable cell-hydrogel constructs, although poor cell survival, compromised stem cell differentiation, and an inhomogeneous distribution of newly produced extracellular matrix (ECM) are frequently observed. Therefore, this study presents a bioink platform using a new versatile dual-stage crosslinking approach based on thiolated hyaluronic acid (HA-SH), which not only provides stand-alone 3D printability but also facilitates effective chondrogenic differentiation of mesenchymal stromal cells. A range of HA-SH with different molecular weights is synthesized and crosslinked with acrylated (PEG-diacryl) and allylated (PEG-diallyl) polyethylene glycol in a two-step reaction scheme. The initial Michael addition is used to achieve ink printability, followed by UV-mediated thiol–ene reaction to stabilize the printed bioink for long-term cell culture. Bioinks with high molecular weight HA-SH (>200 kDa) require comparably low polymer content to facilitate bioprinting. This leads to superior quality of cartilaginous constructs which possess a coherent ECM and a strongly increased stiffness of long-term cultured constructs. The dual-stage system may serve as an example to design platforms using two independent crosslinking reactions at one functional group, which allows adjusting printability as well as material and biological properties of bioinks.
Energy-demanding organs like the heart are strongly dependent on oxidative phosphorylation in mitochondria. Oxidative phosphorylation is governed by the respiratory chain located in the inner mitochondrial membrane. The inner mitochondrial membrane is the only cellular membrane with significant amounts of the phospholipid cardiolipin, and cardiolipin was found to directly interact with a number of essential protein complexes, including respiratory chain complexes I to V. An inherited defect in the biogenesis of cardiolipin causes Barth syndrome, which is associated with cardiomyopathy, skeletal myopathy, neutropenia and growth retardation. Energy conversion is dependent on reducing equivalents, which are replenished by oxidative metabolism in the Krebs cycle. Cardiolipin deficiency in Barth syndrome also affects Krebs cycle activity, metabolite transport and mitochondrial morphology. During excitation-contraction coupling, calcium (Ca\(^{2+}\)) released from the sarcoplasmic reticulum drives sarcomeric contraction. At the same time, Ca\(^{2+}\) influx into mitochondria drives the activation of Krebs cycle dehydrogenases and the regeneration of reducing equivalents. Reducing equivalents are essential not only for energy conversion, but also for maintaining a redox buffer, which is required to detoxify reactive oxygen species (ROS). Defects in CL may also affect Ca\(^{2+}\) uptake into mitochondria and thereby hamper energy supply and demand matching, but also detoxification of ROS. Here, we review the impact of cardiolipin deficiency on mitochondrial function in Barth syndrome and discuss potential therapeutic strategies.
The diorgano(bismuth)alcoholate [Bi((C\(_{6}\)H\(_{4}\)CH\(_{2}\))\(_{2}\)S)OPh] (1-OPh) has been synthesized and fully characterized. Stoichiometric reactions, UV/Vis spectroscopy, and (TD-)DFT calculations suggest its susceptibility to homolytic and heterolytic Bi−O bond cleavage under given reaction conditions. Using the dehydrocoupling of silanes with either TEMPO or phenol as model reactions, the catalytic competency of 1-OPh has been investigated (TEMPO=(tetramethyl-piperidin-1-yl)-oxyl). Different reaction pathways can deliberately be addressed by applying photochemical or thermal reaction conditions and by choosing radical or closed-shell substrates (TEMPO vs. phenol). Applied analytical techniques include NMR, UV/Vis, and EPR spectroscopy, mass spectrometry, single-crystal X-ray diffraction analysis, and (TD)-DFT calculations.
Mineralocorticoid-receptor antagonism and its metabolic consequences in haemodialysis patients
(2022)
Patients on haemodialysis are highly susceptible to different forms of heart failure. To date, the benefit of Mineralocorticoid-receptor antagonist (MRA) administration in haemodialysis patients remains subject to discussion. Biomarkers play an important role in therapy guidance and pose a promising tool to detect pathological processes of heart failure in an earlier stage. The randomised-controlled Mineralocorticoid-Receptor Antagonists in End-Stage Renal Disease (MiREnDa) trial was set up to investigate the effect of 50 mg of spironolactone once daily on left ventricular mass index in haemodialysis patients and several secondary endpoints. This dissertation reports findings from the MiREnDa trial on (a) the efficacy of spironolactone to influence serum levels of biomarkers of heart failure, fibrosis and inflammation and electrolytes and (b) the ability of N-terminal pro-B-type natriuretic peptide (NT-proBNP), Galectin-3 and soluble source of tumorigenicity 2 (sST2) to reflect left ventricular hypertrophy and diastolic dysfunction assessed by imaging characteristics. Treatment of spironolactone over a 40-week period did not alter serum levels of biomarkers of heart failure, fibrosis and inflammation including NT-proBNP, Galectin-3 and sST2. A small but significant effect on serum sodium but not potassium was observed. NT-proBNP was significantly different in the presence or absence of left ventricular hypertrophy (LVH) (normal vs. LVH (median [IQR]): 2,120 [810; 5,040] vs. 6,340 [2,410; 15,360] pg/ml, p<0.01) or moderate and severe diastolic dysfunction (DD) (normal diastolic function and DD grade I vs. DD grade II and DD grade III: 2,300 [850; 6,050] vs. 12,260 [3,340; 34,830] pg/ml, p=0.02). NT-proBNP further showed a significant correlation at baseline with LVMi (Spearman’s rho=0.41, p<0.001), LAVi (Spearman’s rho=0.55, p<0.001) and septal E/e’ (Spearman’s rho=0.45, p<0.001). No correlation was observed between Galectin-3 and the investigated functional and morphological parameters. sST2 was mildly correlated to LVMi at baseline (Spearman’s rho=0.21, p=0.05) and NT-proBNP at baseline (Spearman’s rho=0.37, p<0.001). In conclusion, spironolactone did not affect the investigated parameters but NT-proBNP proved to be significantly correlated to cardiac imaging measurements.
In modern medicine hip and knee joint replacement are common surgical procedures. However, about 11 % of hip implants and about 7 % of knee implants need re-operations. The comparison of implant registers revealed two major indications for re-operations: aseptic loosening and implant infections, that both severely impact the patients’ health and are an economic burden for the health care system. To address these problems, a calcium hydroxide coating on titanium was investigated in this thesis. Calcium hydroxide is a well-known antibacterial agent and used with success in dentistry. The coatings were applied with electrochemically assisted deposition, a versatile tool that combines easiness of process with the ability to coat complex geometries homogeneously. The pH-gradient during coating was investigated and showed the surface confinement of the coating process. Surface pre-treatment altered the surface morphology and chemistry of the titanium substrates and was shown to affect the morphology of the calcium hydroxide coatings. The influence of the coating parameters stirring speed and current pulsing were examined in various configurations and combinations and could also affect the surface morphology. A change in surface morphology results in a changed adhesion and behavior of cells and bacteria. Thus, the parameters surface pre-treatment, stirring speed and current pulsing presented a toolset for tailoring cellular response and antibacterial properties. Microbiological tests with S. aureus and S. epidermidis were performed to test the time-dependent antibacterial activity of the calcium hydroxide coatings. A reduction of both strains could be achieved for 13 h, which makes calcium hydroxide a promising antibacterial coating. To give insight into biofilm growth, a protocol for biofilm staining was investigated on titanium disks with S. aureus and S. epidermidis. Biofilm growth could be detected after 5 days of bacterial incubation, which was much earlier than the 3 weeks that are currently assumed in medical treatment. Thus, it should be considered to treat infections as if a biofilm were present from day 5 on. The ephemeral antibacterial properties of calcium hydroxide were further enhanced and prolonged with the addition of silver and copper ions. Both ionic modifications significantly enhanced the bactericidal potential. The copper modification showed higher antibacterial effects than the silver modification and had a higher cytocompatibility which was comparable to the pure calcium hydroxide coating. Thus, copper ions are an auspicious option to enhance the antibacterial properties. Calcium hydroxide coatings presented in this thesis have promising antibacterial properties and can easily be applied to complex geometries, thus they are a step in fighting aseptic loosening and implant infections.
Persistent room temperature phosphorescent (RTP) luminophores have gained remarkable interest recently for a number of applications in security printing, OLEDs, optical storage, time-gated biological imaging and oxygen sensors. We report the first persistent RTP with lifetimes up to 0.5 s from simple triarylboranes which have no lone pairs. We also have prepared 3 isomeric (o, m, p-bromophenyl)-bis(2,6-dimethylphenyl)boranes. Among the 3 isomers (o-, m- and p-BrTAB) synthesized, the ortho-one is the only one which shows dual phosphorescence, with a short lifetime of 0.8 ms and a long lifetime of 234 ms in the crystalline state at room temperature. At last, we checked the RTP properties from the boric acid. We found that the pure boric acid does not show RTP in the solid state.
Visual perception of surfaces is of utmost importance in everyday life. Therefore, it comes naturally, that different surface structures evoke different visual impressions in the viewer even if the material underlying these surface structures is the same. This topic is especially virulent for manufacturing processes in which more than one stakeholder is involved, but where the final product needs to meet certain criteria. A common practice to address such slight but perceivable differences in the visual appearance of structured surfaces is that trained evaluators assess the samples and assign a pass or fail. However, this process is both time consuming and cost intensive. Thus, we conducted two studies to analyze the relationship between physical surface structure parameters and participants visual assessment of the samples. With the first experiment, we aimed at uncovering a relationship between physical roughness parameters and visual lightness perception while the second experiment was designed to test participants' discrimination sensitivity across the range of stimuli. Perceived lightness and the measured surface roughness were nonlinearly related to the surface structure. Additionally, we found a linear relationship between the engraving parameter and physical brightness. Surface structure was an ideal predictor for perceived lightness and participants discriminated equally well across the entire range of surface structures.
Realization and Spectroscopy of the Quantum Spin Hall Insulator Bismuthene on Silicon Carbide
(2022)
Topological matter is one of the most vibrant research fields of contemporary solid state physics since the theoretical prediction of the quantum spin Hall effect in graphene in 2005. Quantum spin Hall insulators possess a vanishing bulk conductivity but symmetry-protected, helical edge states that give rise to dissipationless charge transport.
The experimental verification of this exotic state of matter in 2007 lead to a boost of research activity in this field, inspired by possible ground-breaking future applications.
However, the use of the quantum spin Hall materials available to date is limited to cryogenic temperatures owing to their comparably small bulk band gaps.
In this thesis, we follow a novel approach to realize a quantum spin Hall material with a large energy gap and epitaxially grow bismuthene, i.e., Bi atoms adopting a honeycomb lattice, in a \((\sqrt{3}\times\sqrt{3})\) reconstruction on the semiconductor SiC(0001). In this way, we profit both from the honeycomb symmetry as well as the large spin-orbit coupling of Bi, which, in combination, give rise to a topologically non-trivial band gap on the order of one electronvolt.
An in-depth theoretical analysis demonstrates that the covalent bond between the Si and Bi atoms is not only stabilizing the Bi film but is pivotal to attain the quantum spin Hall phase.
The preparation of high-quality, unreconstructed SiC(0001) substrates sets the basis for the formation of bismuthene and requires an extensive procedure in ultra-pure dry H\(_2\) gas. Scanning tunneling microscopy measurements unveil the (\(1\times1\)) surface periodicity and smooth terrace planes, which are suitable for the growth of single Bi layers by means of molecular beam epitaxy. The chemical configuration of the resulting Bi film and its oxidation upon exposure to ambient atmosphere are inspected with X-ray photoelectron spectroscopy.
Angle-resolved photoelectron spectroscopy reveals the excellent agreement of probed and calculated band structure. In particular, it evidences a characteristic Rashba-splitting of the valence bands at the K point. Scanning tunneling spectroscopy probes signatures of this splitting, as well, and allows to determine the full band gap with a magnitude of \(E_\text{gap}\approx0.8\,\text{eV}\).
Constant-current images and local-density-of-state maps confirm the presence of a planar honeycomb lattice, which forms several domains due to different, yet equivalent, nucleation sites of the (\(\sqrt{3}\times\sqrt{3}\))-Bi reconstruction.
Differential conductivity measurements demonstrate that bismuthene edge states evolve at atomic steps of the SiC substrate. The probed, metallic local density of states is in agreement with the density of states expected from the edge state's energy dispersion found in density functional theory calculations - besides a pronounced dip at the Fermi level.
By means of temperature- and energy-dependent tunneling spectroscopy it is shown that the spectral properties of this suppressed density of states are successfully captured in the framework of the Tomonaga-Luttinger liquid theory and most likely originate from enhanced electronic correlations in the edge channel.
Cardiovascular diseases (CVD), subsuming atherosclerosis of the coronary arteries and subsequent myocardial infarction, are the leading cause of death in the European Union (over 4 million deaths annually), with devastating individual and economic consequences.
Recent studies revealed that T cells play a crucial role in post-MI inflammation, healing and remodelling processes. Nevertheless, the specificity profile of adaptive immune responses in the infarcted myocardium has not yet been differentiated. The experiments portrayed in this thesis sought to assess whether post-MI CD4+ T cell responses in mice are triggered by heart specific antigens, and eventually identify relevant epitopes.
We were able to create a murine antigen atlas including a list of 206 epitopes for I-Ab and 193 epitopes for I-Ad presented on MHC-II in the context of MI. We sought to consecutively test this panel by in vitro T cell proliferation and antigen recall assays ex vivo. The elispot assay was used as a readout for antigen-specific stimulation by measurement of IL-2 and IFN-γ production, currently the most sensitive approach available to detect even small counts of antigen producing cells. Splenocytes as well as lymphocytes from mediastinal lymph nodes were purified from animals 7 days or 56 days after EMI conducted by ligation of the left anterior descending artery.
We were able to provide evidence that post-MI T cell responses in Balb/c mice are triggered by heart-specific antigens and that MYHCA, especially MYHCA614-628, is relevant for that response. Moreover, a significant specific T cell response after MI in C57BL/6J mice was observed for α actin, cardiac muscle 1 [ACTC1], myosin-binding protein C3 [MYBPC3] and myosin heavy chain α [MYHCA] derived heart specific antigens.
Generally, the epitopes of interest for Balb/c as well as C57BL/6J could be further investigated and may eventually be modulated in the future.
This dissertation focuses on the construct and criterion validity of integrity tests and aims to enhance both. To accomplish this goal, three approaches were adopted: First, an overview and systematic comparison of integrity tests was conducted with reference to the construction and application of the tests. Second, the nomological network of integrity tests was expanded with reference to honesty-humility and organizational citizenship behavior at their factor and facet level. Third, two promising methods to reduce faking on integrity tests were tested: the double rating method (Hui, 2001) and the indirect questioning technique. In line with previous research, the results of the overview and comparison of integrity measures confirmed that integrity tests are multidimensional and heterogenous. A clear definition of integrity is urgently needed. The personality trait of honesty-humility and its facets of fairness, and modesty revealed the most significant relationships to integrity. Moreover, organizational citizenship behavior and its facets of altruism, conscientiousness, and sportsmanship were found to significantly relate to integrity. Furthermore, integrity tests were able not only to predict organizational citizenship behavior but also to incrementally predict job performance and organizational citizenship behavior beyond the factor and facet level of the personality traits of conscientiousness and honesty-humility. In contrast to the indirect questioning technique, the double rating method, which includes an other rating and a self rating, was shown to be able to significantly reduce faking on integrity tests in an anonymous survey setting. This dissertation makes an important contribution to better explain the construct and nomological network of integrity, provide a more detailed view on integrity tests and their protection against faking, and expand the predictive and incremental validity of these tests. The implications for future research and practice are further discussed.
In the last decade continuous-time quantum Monte Carlo in the hybridization expansion (CTHYB) was one of the most successful Monte Carlo techniques to describe correlated quantum phenomena in conjunction with dynamical mean field theory (DMFT). The first part of the thesis consists of algorithmical developments regarding CTHYB and DMFT. I provide a complete derivation and an extensive discussion of the expansion formula. We generalized it to treat spin-orbit coupling, and invented the superstate sampling algorithm to make it efficient enough for describing systems with general interactions, crystal fields and spin-orbit coupling at low temperatures. But CTHYB is known to fail in the standard implementation for equal-time correlators, certain higher-order Green’s functions and the atomic limit; we discovered that its estimator for the Greens function is also inconsistent for Anderson impurities with finite, discrete baths. I focus then on further improvements of CTHYB that we have conceived and worked on, in particular for f-orbitals and for taking physical symmetries into account in the calculation of the Monte Carlo observables. The second part of the thesis presents selected physical applications of these methods. I show DMFT calculations of highest accuracy for elemental iron and nickel and discover a new mechanism of magnetic ordering in nickel: the ordering of band structure-induced local moments. Then we analyze the stability of this phenomenon under pressure and temperatures, that characterize in the Earth’s core. We find, that the mechanism survives these conditions and may give a significant contribution to the generation of the Earth’s magnetic field. The next topic is the stability of double Dirac fermions against electronic correlations. We find, that the Coulomb interaction in the corresponding material Bi2 CuO4 are strong enough to destroy the double Dirac cone, and substantial uniform pressure is necessary to restore them. In the last chapter I derive the properties of Higgs and Goldstone bosons from Ginzburg-Landau theory, and identify these excitations in a model of an excitonic magnet.
In terms of the need of environmentally benign renewable and storable energy sources, splitting of water into hydrogen and oxygen by using sunlight is a promising approach. Hereby, water oxidation catalysts (WOCs) are required to perform the water oxidation comprising the transfer of four electrons to provide the reducing equivalents for producing hydrogen. The class of Ru(bda) (bda = 2,2'-bipyridine-6,6'-dicarboxylate) catalysts has proven to be efficient for this reaction.
In this thesis, ligand exchange processes in Ru(bda) complexes have been analyzed and the formation of multinuclear macrocyclic WOCs was studied. Based on the knowledge acquired by these studies, new multinuclear cyclic Ru(bda) complexes have been synthesized and their catalytic efficiencies in homogeneous water oxidation have been investigated. Going one step further for setting up functional devices, molecular WOCs have been immobilized on conducting or semiconducting supporting materials. Direct anchoring on carbon nanotubes generated a promising materials for further applications.
In the heart the β\(_1\)-adrenergic receptor (AR) and the β\(_2\)-AR, two prototypical G protein-coupled receptors (GPCRs), are both activated by the same hormones, namely adrenaline and noradrenaline. Both receptors couple to stimulatory G\(_s\) proteins, mediate an increase in cyclic adenosine monophosphate (cAMP) and influence the contractility and frequency of the heart upon stimulation. However, activation of the β\(_1\)-AR, not the β\(_2\)-AR, lead to other additional effects, such as changes in gene transcription resulting in cardiac hypertrophy, leading to speculations on how distinct effects can arise from receptors coupled to the same downstream signaling pathway.
In this thesis the question of whether this distinct behavior may originate from a differential localization of these two receptors in adult cardiomyocytes is addressed. Therefore, fluorescence spectroscopy tools are developed and implemented in order to elucidate the presence and dynamics of these endogenous receptors at the outer plasma membrane as well as on the T-tubular network of intact adult cardiomyocytes. This allows the visualization of confined localization and diffusion of the β\(_2\)-AR to the T-tubular network at endogenous expression. In contrast, the β\(_1\)-AR is found diffusing at both the outer plasma membrane and the T-tubules. Upon overexpression of the β\(_2\)-AR in adult transgenic cardiomyocytes, the receptors experience a loss of this compartmentalization and are also found at the cell surface. These data suggest that distinct signaling and functional effects can be controlled by specific cell surface targeting of the receptor subtypes.
The tools at the basis of this thesis work are a fluorescent adrenergic antagonist in combination of fluorescence fluctuation spectroscopy to monitor the localization and dynamics of the lowly expressed adrenergic receptors. Along the way to optimizing these approaches, I worked on combining widefield and confocal imaging in one setup, as well as implementing a stable autofocus mechanism using electrically tunable lenses.
Purpose
Definitive fascial closure is an essential treatment objective after open abdomen treatment and mitigates morbidity and mortality. There is a paucity of evidence on factors that promote or prevent definitive fascial closure.
Methods
A multi-center multivariable analysis of data from the Open Abdomen Route of the European Hernia Society included all cases between 1 May 2015 and 31 December 2019. Different treatment elements, i.e. the use of a visceral protective layer, negative-pressure wound therapy and dynamic closure techniques, as well as patient characteristics were included in the multivariable analysis. The study was registered in the International Clinical Trials Registry Platform via the German Registry for Clinical Trials (DRK00021719).
Results
Data were included from 630 patients from eleven surgical departments in six European countries. Indications for OAT were peritonitis (46%), abdominal compartment syndrome (20.5%), burst abdomen (11.3%), abdominal trauma (9%), and other conditions (13.2%). The overall definitive fascial closure rate was 57.5% in the intention-to-treat analysis and 71% in the per-protocol analysis. The multivariable analysis showed a positive correlation of negative-pressure wound therapy (odds ratio: 2.496, p < 0.001) and dynamic closure techniques (odds ratio: 2.687, p < 0.001) with fascial closure and a negative correlation of intra-abdominal contamination (odds ratio: 0.630, p = 0.029) and the number of surgical procedures before OAT (odds ratio: 0.740, p = 0.005) with DFC.
Conclusion
The clinical course and prognosis of open abdomen treatment can significantly be improved by the use of treatment elements such as negative-pressure wound therapy and dynamic closure techniques, which are associated with definitive fascial closure.
Religion and social support along with trait emotional intelligence (EI) help individuals to reduce stress caused by difficult situations. Their implications may vary across cultures in reference to predicting health-related quality of life (HRQoL). A convenience sample of N = 200 chronic heart failure (CHF) patients was recruited at cardiology centers in Germany (n = 100) and Pakistan (n = 100). Results indicated that trait-EI predicted better mental component of HRQoL in Pakistani and German CHF patients. Friends as social support appeared relevant for German patients only. Qualitative data indicate an internal locus of control in German as compared to Pakistani patients. Strengthening the beneficial role of social support in Pakistani patients is one example of how the current findings may inspire culture-specific treatment to empower patients dealing with the detrimental effects of CHF.
Nucleic acids are not only one of the most important classes of macromolecules in biochemistry but also a promising platform for the defined arrangement of chromophores. Thanks to their precise organization by directional polar and hydrophobic interactions, oligonucleotides can be exploited as suitable templates for multichromophore assemblies with predictable properties. To expand the toolbox of emissive, base pairing nucleobase analogs several barbituric acid merocyanine (BAM) chromophores with tunable spectroscopic properties were synthesized and incorporated into RNA, DNA and glycol nucleic acid (GNA) oligonucleotides. A multitude of duplexes containing up to ten BAM chromophores was obtained and analysis by spectroscopic methods revealed the presence of dipolarly coupled merocyanine aggregates with properties
strongly dependent on the chromophore orientation toward each other and the backbone conformation. These characteristics were exploited for various applications such as FRET pair formation and polymerase chain reaction (PCR) experiments. The observed formation of higher-order aggregates implies future applications of these new oligonucleotide-chromophore systems as light-harvesting DNA nanomaterials. Besides oligonucleotide templated covalent assembly of chromophores also non-covalent nucleic acid-chromophore complexes are a broad field of research. Among these, fluorogenic RNA aptamers are of special interest with the most versatile ones based on derivatives of the GFP chromophore hydroxybenzylidene imidazolone (HBI). Therefore, new HBI-derived chromophores with an expanded conjugated system and an additional exocyclic amino group for an enhanced binding affinity were synthesized and analyzed in complex with the Chili aptamer. Among these, structurally new fluorogenes with strong fluorescence activation upon binding to Chili were identified which are promising for further derivatization and application as color-switching sensor devices for example.
A practical and direct method was developed for the production of versatile alkyl boronate esters via transition metal-free borylation of primary and secondary alkyl sulfones. The key to the success of the strategy is the use of bis(neopentyl glycolato) diboron (B\(_{2}\)neop\(_{2}\)), with a stoichiometric amount of base as a promoter. The practicality and industrial potential of this protocol are highlighted by its wide functional group tolerance, the late-stage modification of complex compounds, no need for further transesterification, and operational simplicity. Radical clock, radical trap experiments, and EPR studies were conducted which show that the borylation process involves radical intermediates.
The thesis at hand is concerned with improving our understanding of and our control over transport properties of the three-dimensional topological insulator HgTe. Topological insulators are characterized by an insulating bulk and symmetry-protected metallic surface states. These topological surface states hold great promise for research and technology; at the same time, many properties of experimentally accessible topological insulator materials still need to be explored thoroughly. The overall aim of this thesis was to experimentally investigate micrometer-sized HgTe transport devices to observe the ballistic transport regime as well as intercarrier scattering and possibly identify special properties of the topological surface states.
Part I of the thesis presents lithographic developments concerned with etching small HgTe devices. The aim was to replace existing processes which relied on dry etching with high-energy \(\text{Ar}^+\) ions and an organic etch mask. This etching method is known to degrade the HgTe crystal quality. In addition, the etch mask turned out to be not durable for long etching processes and difficult to remove completely after etching. First, \(\text{BaF}_2\) was introduced as a new etch mask for dry etching to replace the organic etch mask. With common surface characterization techniques like SEM and XPS it was shown that \(\text{BaF}_2\) etch masks are easy to deposit, highly durable in common dry etching processes for \(\text{Hg}_{1-x}\text{Cd}_x\text{Te}\), and easy to remove in deionized water. Transport results of HgTe devices fabricated with the new etch mask are comparable to results obtained with the old process. At the same time, the new etch mask can withstand longer etching times and does not cause problems due to incomplete removal. Second, a new inductively coupled plasma dry etching process based on \(\text{CH}_4\) and Ar was introduced. This etching process is compatible with \(\text{BaF}_2\) etch masks and yields highly reproducible results. Transport results indicate that the new etching process does not degrade the crystal quality and is suitable to produce high-quality transport devices even in the micrometer range. A comparison with wet-etched samples shows that inductively coupled plasma etching introduces a pronounced edge roughness. This - usually undesirable - property is actually beneficial for some of the experiments in this study and mostly irrelevant for others. Therefore, most samples appearing in this thesis were fabricated with the new process.
Part II of the thesis details the advancements made in identifying topological and trivial states which contribute to transport in HgTe three-dimensional topological insulators. To this end, macroscopic Hall bar samples were fabricated from high-quality tensilely strained HgTe layers by means of the improved lithographic processes. All samples were equipped with a top gate electrode, and some also with a modulation doping layer or a back gate electrode to modify the carrier density of the surface states on both sides of the HgTe layer. Due to the high sample quality, Landau levels could be well-resolved in standard transport measurements down to magnetic fields of less than 0.5T. High-resolution measurements of the Landau level dispersion with gate voltage and magnetic field allowed disentangling different transport channels. The main result here is that the upper (electron) branches of the two topological surface states contribute to transport in all experimentally relevant density regimes, while the hole branch is not accessible. Far in n-regime bulk conduction band states give a minor contribution to transport. More importantly, trivial bulk valence band holes come into play close to the charge neutrality point. Further in p-regime, the strong applied gate voltage leads to the formation of two-dimensional, massive hole states at the HgTe surface. The interplay of different states gives rise to rich physics: Top gate-back gate maps revealed that an anticrossing of Landau levels from the two topological surface states occurs at equal filling. A possible explanation for this effect is a weak hybridization of the surface states; however, future studies need to further clarify this point. Furthermore, the superposition of n-type topological and p-type trivial surface states leads to an intriguing Landau level dispersion. The good quantization of the Hall conductance in this situation indicates that the counterpropagating edge states interact with each other. The nature of this interaction will be the topic of further research.
Part III of the thesis is focused on HgTe microstructures. These "channel samples" have a typical width of 0.5 to 4µm and a typical length of 5 to 80µm. The quality of these devices benefits particularly from the improved lithographic processes. As a result, the impurity mean free path of the topological surface state electrons is on the order of the device width and transport becomes semiballistic. This was verified by measuring the channel resistance in small magnetic fields in n-regime. The deflection of carriers towards the dissipative channel walls results in a pronounced peak in the magnetoresistance, which scales in a predictable manner with the channel width. To investigate transport effects due to mutual scattering of charge carriers, the differential resistance of channel samples was measured as a function of carrier temperature. Selective heating of the charge carriers - but not the lattice - was achieved by passing a heating current through the channel. Increasing the carrier temperature has two pronounced effects when the Fermi level is situated in proximity to the bulk valence band maximum where the density of states is large. First, when both topological surface state electrons and bulk holes are present, electron-hole scattering leads to a pronounced increase in resistance with increasing carrier temperature. Second, a thermally induced increase of the electron and hole carrier densities reduces the resistance again at higher temperatures. A model considering these two effects was developed, which can well reproduce the experimental results. Current heating experiments in zero-gap HgTe quantum wells and compressively strained HgTe layers are consistent with this model. These observations raise the question as to how electron-hole scattering may affect other transport properties of HgTe-based three-dimensional topological insulators, which is briefly discussed in the outlook.
Microorganisms that colonize the human body face large fluctuations in their surroundings. Therefore, those microbes developed sophisticated mechanisms that allow them to adapt their cell biology and maintain cellular homeostasis. One organelle vital to preserve cell physiology is the vacuole. The vacuole exhibits a wide range of functions and is able to adjust itself in response to both external and internal stimuli. Moreover, it plays an important role in host interaction and virulence in fungi such as Candida albicans. Despite this connection, only a few regulatory proteins have been described to modulate vacuolar biology in fungal pathogens. Furthermore, whether such regulation alters fungus-host interplay remains largely unknown.
This thesis focuses on the characterization of ZCF8, a fungus-specific transcription regulator in the human-associated yeast C. albicans. To this end, I combined genome-wide protein-DNA interaction assays and gene expression analysis that identified genes regulated by Zcf8p. Fluorescence microscopy uncovered that several top targets of Zcf8p localize to the fungal vacuole. Moreover, deletion and overexpression of ZCF8 resulted in alterations in vacuolar morphology and in luminal pH and rendered the fungus resistant or susceptible to a vacuole-disturbing drug. Finally, in vitro adherence assays showed that Zcf8p modulates the attachment of C. albicans to human epithelial cells in a vacuole-dependent manner.
Given those findings, I posit that the previously uncharacterized transcription regulator Zcf8p modulates fungal attachment to epithelial cells in a manner that depends on the status of the fungal vacuole. Furthermore, the results highlight that vacuolar physiology is a substantial factor influencing the physical interaction between Candida cells and mammalian mucosal surfaces.
Photosynthetic plants have a remarkable ability to modify their metabolism and development according to ever changing environmental conditions. The root system displays continuous growth of the primary root and formation of lateral roots enabling efficient water and nutrient uptake and anchorage of the plant in soil. With regard to lateral roots, development is post-embryonic, originating from the pericycle of the primary root. Coordinated activity of several molecular signalling pathways controlled by the hormone auxin is important throughout all stages of lateral root development.At first, two adjacent Xylem Pole Pericycle (XPP) cells are activated and the nuclei of these cells migrate towards a common cell wall.This is followed by XPP cells acquiring volume thus swelling up.The XPP cells then undergo anticlinal cell division, followed by a series of periclinal and anticlinal divisions,leading to lateral root primordia.These break through the radial cell layers and emerge out the primary root.
Although root system plasticity is well-described in response to environmental cues such as ion nutrition in the soil, little is known on how root development is shaped according to the endogenous energy status of the plant.In this study, we were able to connect limited perturbations in photosynthetic energy supply to lateral root development.We established two experimental systems – treatment with low light and unexpected darkness which led to short-term energy imbalance in the plant.These short perturbations administered, showed an increase in the emerged lateral root density and decrease in root hexose availability and activation of the low energy marker gene ASN1 (ASPARAGINE SYNTHETASE 1).Although not demonstrated, presumably, these disturbances in the plant energy homeo-stasis activates SnRK1 (SNF1 RELATED KINASE 1),an evolutionary conserved kinase mediat-ing metabolic and transcriptional responses towards low energy conditions. In A. thaliana, two catalytic α-subunits of this kinase (SnRK1.α1 and SnRK1.α2) are functionally active and form ternary complexes with the regulatory β- and γ- subunits. Whereas unexpected darkness results in an increase in emerged lateral root density, the snrk1.α1 loss-of-function mutant displayed decrease in emerged lateral root density. As this effect is not that pronounced in the snrk1.α2 loss-of-function mutant, the α1 catalytic subunit is important for the observed lateral root phenotype under short-term energy perturbations. Moreover, root expression patterns of SnRK1.α1:GFP supports a role of this catalytic subunit in lateral root development. Furthermore, the lateral root response during short-term perturbations requires the SnRK1 downstream transcriptional regulator bZIP63 (BASIC LEU-CINE ZIPPER 63), as demonstrated here by a loss-of-function approach. Phenotypic studies showed that in comparison to wild-type, bzip63 mutants displayed decreased lateral root density upon low-light and unexpected darkness conditions. Previous work has demonstrat-ed that SnRK1 directly phosphorylates bZIP63 at three serine residues. Alanine-exchange mutants of the SnRK1 dependent bZIP63 phosphorylation sites behave similarly to bzip63 loss-of-function mutants and do not display increased lateral root density upon short-term unexpected darkness. This data strongly supports an impact of SnRK1-bZIP63 signalling in mediating the observed lateral root density phenotype. Plants expressing a bZIP63:YFP fu-sion protein showed specific localization patterns in primary root and in all developmental stages of the lateral root. bzip63 loss-of-function mutant lines displayed reduced early stage lateral root initiation events under unexpected darkness as demonstrated by Differen-tial Interference Contrast microscopy (DIC) and the use of a GATA23 reporter line. This data supports a role of bZIP63 in early lateral root initiation.
Next, by employing Chromatin Immunoprecitation (ChIP) sequencing, we were able to iden-tify global binding targets of bZIP63, including the auxin-regulated transcription factor (TF) ARF19 (AUXIN RESPONSE FACTOR 19), a well-described central regulator of lateral root development. Additional ChIP experiments confirmed direct binding of bZIP63 to an ARF19 promoter region harboring a G-Box cis-element, a well-established bZIP63 binding site. We also observed that short-term energy perturbation upon unexpected darkness induced tran-scription of ARF19, which was impaired in the bzip63 loss-of-function mutant. These results propose that bZIP63 mediates lateral root development under short-term energy perturba-tion via ARF19.
In conclusion, this study provides a novel mechanistic link between energy homeostasis and plant development. By employing reverse genetics, confocal imaging and high-throughput sequencing strategies, we were able to propose a SnRK1-bZIP63-ARF19 signalling module in integrating energy signalling into lateral root developmental programs.
Overview of the Organolead Trihalide Perovskite Crystal Area
Studies of perovskite single crystals with high crystallographic quality is an important technological area of the perovskite research, which enables to estimate their full optoelectronic potential, and thus to boost their future applications [26]. It was therefore essential to grow high-quality single crystals with lowest structural as well as chemical defect densities and with a stoichiometry relevant for their thin-film counterparts [26]. Optoelectronic devices, e.g. solar cells, are highly complex systems in which the properties of the active layer (absorber) are strongly influenced by the adjacent layers, so it is not always easy to define the targeted properties and elaborate the design rules for the active layer. Currently, organolead trihalide perovskite (OLTP) single crystals with the structure ABX3 are one of the most studied crystalline systems. These hybrid crystals are solids composed of an organic cation such as methylammonium (A = MA+) or formamidinium (A = FA+) to form a three-dimensional periodic lattice together with the lead cation (B = Pb2+) and a halogen anion such as chloride, bromide or iodide (X = Cl-, Br- or I-) [23]. Among them are methylammonium lead tribromide (MAPbBr3), methylammonium lead triiodide (MAPbI3), as well as methylammonium lead trichloride (MAPbCl3) [62, 63]. Important representatives with the larger cation FA+ are formamidinium lead tribromide (FAPbBr3) and formamidinium lead triiodide (FAPbI3) [23, 64]. Besides the exchange of cations as well as anions, it was possible to grow crystals containing two halogens to obtain mixed crystals with different proportions of chlorine to bromine and bromine to iodine, as it is shown in Figure 70. By varying the mixing ratio of the halogens, it was therefore possible to vary the colour and thus the absorption properties of the crystals [85], as it can be done with thin polycrystalline perovskite films. In addition, since a few years it is also doable to grow complex crystals that contain several cations as well as anions [26, 80, 81]. These include the perovskites double cation – double halide formamidinium lead triiodide – methylammonium lead tribromide (FAPbI3)0.9(MAPbBr3)0.1 (FAMA) [26, 80] and formamidinium lead triiodide – methylammonium lead tribromide – caesium lead tribromide (FAPbI3)0.9(MAPbBr3)0.05(CsPbBr3)0.05 (CsFAMA) [81], which have made a significant contribution to increase the power conversion efficiency (PCE) in thin-film photovoltaics [47, 79, 182]. The growth of crystals to this day is performed exclusively from solution [23, 26, 56, 62]. Important preparation methods are the cooling acid-based precursor solution crystallisation [22], the inverse temperature crystallisation (ITC) [62], and the antisolvent vapour-assistant crystallisation (AVC) [137]. In the cooling crystallisation, the precursor salts AX and PbX2 are dissolved in an aqueous halogen-containing acid at high temperatures [56]. Controlled and slow cooling finally results in a supersaturated precursor solution, which leads to spontaneous nucleation of crystal nuclei, followed by subsequent crystal growth. The ITC method is based on the inverse or retrograde solubility of a dissociated perovskite in an organic solvent [23, 64]. With increasing temperature, the solubility of the perovskite decreases and mm-sized crystals can be grown within a few hours [23]. In the AVC method, the precursors are also dissolved in an organic solvent as well [137]. By slow evaporation of a so-called antisolvent [137], the solubility of the perovskite in the now present solvent mixture decreases and it finally precipitates. In addition, there are many other methods with the goal of growing high quality and large crystals in a short period of
time [60, 61, 233, 310].
Innovative possibilities for data collection, networking, and evaluation are unleashing previously untapped potential for industrial production. However, harnessing this potential also requires a change in the way we work. In addition to expanded automation, human-machine cooperation is becoming more important: The machine achieves a reduction in complexity for humans through artificial intelligence. In fractions of a second large amounts of data of high decision quality are analyzed and suggestions are offered. The human being, for this part, usually makes the ultimate decision. He validates the machine’s suggestions and, if necessary, (physically) executes them.
Both entities are highly dependent on each other to accomplish the task in the best possible way. Therefore, it seems particularly important to understand to what extent such cooperation can be effective. Current developments in the field of artificial intelligence show that research in this area is particularly focused on neural network approaches. These are considered to be highly powerful but have the disadvantage of lacking transparency. Their inherent computational processes and the respective result reasoning remain opaque to humans. Some researchers assume that human users might therefore reject the system’s suggestions. The research domain of explainable artificial intelligence (XAI) addresses this problem and tries to develop methods to realize systems that are highly efficient and explainable.
This work is intended to provide further insights relevant to the defined goal of XAI. For this purpose, artifacts are developed that represent research achievements regarding the systematization, perception, and adoption of artificially intelligent decision support systems from a user perspective. The focus is on socio-technical insights with the aim to better understand which factors are important for effective human-machine cooperation. The elaborations predominantly represent extended grounded research. Thus, the artifacts imply an extension of knowledge in order to develop and/ or test effective XAI methods and techniques based on this knowledge. Industry 4.0, with a focus on maintenance, is used as the context for this development.
Impacts of climate variability and change on Maize (\(Zea\) \(mays\)) production in tropical Africa
(2022)
Climate change is undeniable and constitutes one of the major threats of the 21st century. It impacts sectors of our society, usually negatively, and is likely to worsen towards the middle and end of the century. The agricultural sector is of particular concern, for it is the primary source of food and is strongly dependent on the weather. Considerable attention has been given to the impact of climate change on African agriculture because of the continent’s high vulnerability, which is mainly due to its low adaptation capac- ity. Several studies have been implemented to evaluate the impact of climate change on this continent. The results are sometimes controversial since the studies are based on different approaches, climate models and crop yield datasets. This study attempts to contribute substantially to this large topic by suggesting specific types of climate pre- dictors. The study focuses on tropical Africa and its maize yield. Maize is considered to be the most important crop in this region. To estimate the effect of climate change on maize yield, the study began by developing a robust cross-validated multiple linear regression model, which related climate predictors and maize yield. This statistical trans- fer function is reputed to be less prone to overfitting and multicollinearity problems. It is capable of selecting robust predictors, which have a physical meaning. Therefore, the study combined: large-scale predictors, which were derived from the principal component analysis of the monthly precipitation and temperature; traditional local-scale predictors, mainly, the mean precipitation, mean temperature, maximum temperature and minimum temperature; and the Water Requirement Satisfaction Index (WRSI), derived from the specific crop (maize) water balance model. The projected maize-yield change is forced by a regional climate model (RCM) REMO under two emission scenarios: high emission scenario (RCP8.5) and mid-range emission scenario (RCP4.5). The different effects of these groups of predictors in projecting the future maize-yield changes were also assessed. Furthermore, the study analysed the impact of climate change on the global WRSI. The results indicate that almost 27 % of the interannual variability of maize production of the entire region is explained by climate variables. The influence of climate predictors on maize-yield production is more pronounced in West Africa, reaching 55 % in some areas. The model projection indicates that the maize yield in the entire region is expected to decrease by the middle of the century under an RCP8.5 emission scenario, and from the middle of the century to the end of the century, the production will slightly recover but will remain negative (around -10 %). However, in some regions of East Africa, a slight increase in maize yield is expected. The maize-yield projection under RCP4.5 remains relatively unchanged compared to the baseline period (1982-2016). The results further indicate that large-scale predictors are the most critical drivers of the global year-to-year maize-yield variability, and ENSO – which is highly correlated with the most important predictor (PC2) – seems to be the physical process underlying this variability. The effects of local predictors are more pronounced in the eastern parts of the region. The impact of the future climate change on WRSI reveals that the availability of maize water is expected to decrease everywhere, except in some parts of eastern Africa.
The fascination of microcavity exciton-polaritons (polaritons) rests upon the combination of advanced technological control over both the III-V semiconductor material platform as well as the precise spectroscopic access to polaritonic states, which provide access to the investigation of open questions and complex phenomena due to the inherent nonlinearity and direct spectroscopic observables such as energy-resolved real and Fourier space information, pseudospin and coherence. The focus of this work was to advance the research area of polariton lattice simulators with a particular emphasis on their lasing properties. Following the brief introduction into the fundamental physics of polariton lattices in chapter 2, important aspects of the sample fabrication as well as the Fourier spectroscopy techniques used to investigate various features of these lattices were summarized in chapter 3. Here, the implementation of a spatial light modulator for advanced excitation schemes was presented.
At the foundation of this work is the capability to confine polaritons into micropillars or microtraps resulting in discrete energy levels. By arranging these pillars or traps into various lattice geometries and ensuring coupling between neighbouring sites, polaritonic band structures were engineered. In chapter 4, the formation of a band structure was visualised in detail by investigating ribbons of honeycomb lattices. Here, the transition of the discrete energy levels of a single chain of microtraps to the fully developed band structure of a honeycomb lattice was observed. This study allows to design the size of individual domains in more complicated lattice geometries such that a description using band structures becomes feasible, as it revealed that a width of just six unit cells is sufficient to reproduce all characteristic features of the S band of a honeycomb lattice. In particular in the context of potential technological applications in the realms of lasing, the laser-like, coherent emission from polariton microcavities that can be achieved through the excitation of polariton condensates is intriguing. The condensation process is significantly altered in a lattice potential environment when compared to a planar microcavity. Therefore, an investigation of the polariton condensation process in a lattice with respect to the characteristics of the excitation laser, the exciton-photon detuning as well as the reduced trap distance that represents a key design parameter for polaritonic lattices was performed. Based on the demonstration of polariton condensation into multiple bands, the preferred condensation into a desired band was achieved by selecting the appropriate detuning. Additionally, a decreased condensation threshold in confined systems compared to a planar microcavity was revealed.
In chapter 5, the influence of the peculiar feature of flatbands arising in certain lattice geometries, such as the Lieb and Kagome lattices, on polaritons and polariton condensates was investigated. Deviations from a lattice simulator described by a tight binding model that is solely based on nearest neighbour coupling cause a remaining dispersiveness of the flatbands along certain directions of the Brillouin zone. Therefore, the influence of the reduced trap distance on the dispersiveness of the flatbands was investigated and precise technological control over the flatbands was demonstrated. As next-nearest neighbour coupling is reduced drastically by increasing the distance between the corresponding traps, increasing the reduced trap distance enables to tune the S flatbands of both Lieb and Kagome lattices from dispersive bands to flatbands with a bandwidth on the order of the polariton linewidth. Additionally to technological control over the band structures, the controlled excitation of large condensates, single compact localized state (CLS) condensates as well as the resonant excitation of polaritons in a Lieb flatband were demonstrated. Furthermore, selective condensation into flatbands was realised. This combination of technological and spectroscopic control illustrates the capabilities of polariton lattice simulators and was used to study the coherence of flatband polariton condensates. Here, the ability to tune the dispersiveness from a dispersive band to an almost perfect flatband in combination with the selectivity of the excitation is particularly valuable. By exciting large flatband condensates, the increasing degree of localisation to a CLS with decreasing dispersiveness was demonstrated by measurements of first order spatial coherence. Furthermore, the first order temporal coherence of CLS condensates was increased from τ = 68 ps for a dispersive flatband, a value typically achieved in high-quality microcavity samples, to a remarkable τ = 459 ps in a flatband with a dispersiveness below the polarion linewidth. Corresponding to this drastic increase of the first order coherence time, a decrease of the second order temporal coherence function from g(2)(τ =0) = 1.062 to g(2)(0) = 1.035 was observed. Next to laser-like, coherent emission, polariton condensates can form vortex lattices. In this work, two distinct vortex lattices that can form in polariton condensates in Kagome flatbands were revealed. Furthermore, chiral, superfluid edge transport was realised by breaking the spatial symmetry through a localised excitation spot. This chirality was related to a change in the vortex orientation at the edge of the lattice and thus opens the path towards further investigations of symmetry breaking and chiral superfluid transport in Kagome lattices.
Arguably the most influential concept in solid-state physics of the recent decades is the idea of topological order that has also provided a new degree of freedom to control the propagation of light. Therefore, in chapter 6, the interplay of topologically non-trivial band structures with polaritons, polariton condensates and lasing was emphasised. Firstly, a two-dimensional exciton-polariton topological insulator based on a honeycomb lattice was realised. Here, a topologically non-trivial band gap was opened at the Dirac points through a combination of TE-TM splitting of the photonic mode and Zeeman splitting of the excitonic mode. While the band gap is too small compared to the linewidth to be observed in the linear regime, the excitation of polariton condensates allowed to observe the characteristic, topologically protected, chiral edge modes that are robust against scattering at defects as well as lattice corners. This result represents a valuable step towards the investigation of non-linear and non-Hermitian topological physics, based on the inherent gain and loss of microcavities as well as the ability of polaritons to interact with each other. Apart from fundamental interest, the field of topological photonics is driven by the search of potential technological applications, where one direction is to advance the development of lasers. In this work, the starting point towards studying topological lasing was the Su-Schrieffer-Heeger (SSH) model, since it combines a simple and well-understood geometry with a large topological gap. The coherence properties of the topological edge defect of an SSH chain was studied in detail, revealing a promising degree of second order temporal coherence of g(2)(0) = 1.07 for a microlaser with a diameter of only d = 3.5 µm. In the context of topological lasing, the idea of using a propagating, topologically protected mode to ensure coherent coupling of laser arrays is particularly promising. Here, a topologically non-trivial interface mode between the two distinct domains of the crystalline topological insulator (CTI) was realised. After establishing selective lasing from this mode, the coherence properties were studied and coherence of a full, hexagonal interface comprised of 30 vertical-cavity surface-emitting lasers (VCSELs) was demonstrated. This result thus represents the first demonstration of a topological insulator VCSEL array, combining the compact size and convenient light collection of vertically emitting lasers with an in-plane topological protection.
Finally, in chapter 7, an approach towards engineering the band structures of Lieb and honeycomb lattices by unbalancing the eigenenergies of the sites within each unit cell was presented. For Lieb lattices, this technique opens up a path towards controlling the coupling of a flatband to dispersive bands and could enable a detailed study of the influence of this coupling on the polariton flatband states. In an unbalanced honeycomb lattice, a quantum valley Hall boundary mode between two distinct, unbalanced honeycomb domains with permuted sites in the unit cells was demonstrated. This boundary mode could serve as the foundation for the realisation of a polariton quantum valley Hall effect with a truly topologically protected spin based on vortex charges. Modifying polariton lattices by unbalancing the eigenenergies of the sites that comprise a unit cell was thus identified as an additional, promising path for the future development of polariton lattice simulators.
Thermoplastic polymers have a history of decades of safe and effective use in the clinic as implantable medical devices. In recent years additive manufacturing (AM) saw increased clinical interest for the fabrication of customizable and implantable medical devices and training models using the patients’ own radiological data. However, approval from the various regulatory bodies remains a significant hurdle. A possible solution is to fabricate the AM scaffolds using materials and techniques with a clinical safety record, e.g. melt processing of polymers. Melt Electrowriting (MEW) is a novel, high resolution AM technique which uses thermoplastic polymers. MEW produces scaffolds with microscale fibers and precise fiber placement, allowing the control of the scaffold microarchitecture. Additionally, MEW can process medical-grade thermoplastic polymers, without the use of solvents paving the way for the production of medical devices for clinical applications. This pathway is investigated in this thesis, where the layout is designed to resemble the journey of a medical device produced via MEW from conception to early in vivo experiments. To do so, first, a brief history of the development of medical implants and the regenerative capability of the human body is given in Chapter 1. In Chapter 2, a review of the use of thermoplastic polymers in medicine, with a focus on poly(ε-caprolactone) (PCL), is illustrated, as this is the polymer used in the rest of the thesis. This review is followed by a comparison of the state of the art, regarding in vivo and clinical experiments, of three polymer melt AM technologies: melt-extrusion, selective laser sintering and MEW. The first two techniques already saw successful translation to the bedside, producing patient-specific, regulatory-approved AM implants. To follow in the footsteps of these two technologies, the MEW device parameters need to be optimized. The MEW process parameters and their interplay are further discussed in Chapter 3 focusing on the importance of a steady mass flow rate of the polymer during printing. MEW reaches a balance between polymer flow, the stabilizing electric field and moving collector to produce reproducible, high-resolution scaffolds. An imbalance creates phenomena like fiber pulsing or arcing which result in defective scaffolds and potential printer damage. Chapter 4 shows the use of X-ray microtomography (µCT) as a non-destructive method to characterize the pore-related features: total porosity and the pore size distribution. MEW scaffolds are three-dimensional (3D) constructs but have long been treated in the literature as two-dimensional (2D) ones and characterized mainly by microscopy, including stereo- and scanning electron microscopy, where pore size was simply reported as the distance between the fibers in a single layer. These methods, together with the trend of producing scaffolds with symmetrical pores in the 0/90° and 0/60/120° laydown patterns, disregarded the lateral connections between pores and the potential of MEW to be used for more complex 3D structures, mimicking the extracellular matrix. Here we characterized scaffolds in the aforementioned symmetrical laydown patterns, along with the more complex 0/45/90/135° and 0/30/60/90/120/150° ones. A 2D pore size estimation was done first using stereomicroscopy, followed by and compared to µCT scanning. The scaffolds with symmetrical laydown patterns resulted in the predominance of one pore size, while those with more complex patterns had a broader distribution, which could be better shown by µCT scans. Moreover, in the symmetrical scaffolds, the size of 3D pores was not able to reach the value of the fiber spacing due to a flattening effect of the scaffold, where the thickness of the scaffold was less than the fiber spacing, further restricting the pore size distribution in such scaffolds. This method could be used for quality assurance of fabricated scaffolds prior to use in in vitro or in vivo experiments and would be important for a clinical translation. Chapter 5 illustrates a proof of principle subcutaneous implantation in vivo experiment. MEW scaffolds were already featured in small animal in vivo experiments, but to date, no analysis of the foreign body reaction (FBR) to such implants was performed. FBR is an immune reaction to implanted foreign materials, including medical devices, aimed at protecting the host from potential adverse effects and can interfere with the function of some medical implants. Medical-grade PCL was used to melt electrowrite scaffolds with 50 and 60 µm fiber spacing for the 0/90° and 0/60/120° laydown patterns, respectively. These implants were implanted subcutaneously in immunocompetent, outbred mice, with appropriate controls, and explanted after 2, 4, 7 and 14 days. A thorough characterization of the scaffolds before implantation was done, followed by a full histopathological analysis of the FBR to the implants after excision. The scaffolds, irrespective of their pore geometry, induced an extensive FBR in the form of accumulation of foreign body giant cells around the fiber walls, in a manner that almost occluded available pore spaces with little to no neovascularization. This reaction was not induced by the material itself, as the same reaction failed to develop in the PCL solid film controls. A discussion of the results was given with special regard to the literature available on flat surgical meshes, as well as other hydrogel-based porous scaffolds with similar pore sizes. Finally, a general summary of the thesis in Chapter 6 recapitulates the most important points with a focus on future directions for MEW.
While the field of electrochromic (EC) materials and devices (ECDs) continues to advance in terms of color palette and understanding the underlying mechanism, several scientific and technological challenges need to be addressed by optimizing the materials and understanding the electrochemical interplay of these materials in full cells. The main issue here is to further improve the EC profile for color neutrality and cycling stability in order to commercialize dimmable EC products. The transparent conductive substrates used in this work (FTO and ultra-thin ITO glass) have high visible light transmittance (τv > 85%) and low sheet resistance (< 25 Ω·sq-1). In addition, the Li+-containing gel electrolyte has sufficient ionic conductivity (2.8·10-4 S·cm-1 at 25 °C), so the investigated ECDs could achieve a fast response (required ionic conductivity is between 10−3 and 10−7 S·cm-1).
This work shows that the combination of cathodically-coloring Fe-MEPE with anodically-coloring non-stoichiometric nickel oxide (Ni1-xO) electrodes (prepared by the National Institute of Chemistry in Ljubljana, Slovenia) can be used in neutral-coloring type III ECDs. The Fe-MEPE/Ni1-xO ECD with the underbalanced CE (ECD1-1, 2: 1) and the balanced configuration (ECD1-2, 1: 1) are both nearly neutrally-colored (ECD1-1: a* = -6.7, b* = 8.8; ECD1-2: a* = -9.0, b* = 10.1) in the bright state with a τv of almost 70%. Due to the overbalancing of the CE (ECD1-3, 1:3), a deviation (a* = -2.8, b* = 19.9) from the neutral coloration occurred here. The balanced as well as the overbalanced ECD configurations show high electrochemical cycling stability (over 1,000 potentiostatic switching cycles). In general, the overbalanced configuration offers the advantage of a smaller operating voltage range (-1 V ↔ 2.5 V to -1 V ↔ 1.5 V), i.e., avoiding possible electrochemical degradation of the EC materials, electrolyte, or conductive layers. By using a Li RE in the full cell, insights into the optimal matching of electrochemical and optical properties between the two electrodes are obtained to achieve more stable ECDs. Thereby, the redox potentials of both EC electrodes (Fe-MEPE and Ni1-xO) can be measured during operation. The incomplete decolorization of ECD1-1 can be explained by the measured electrode potentials (below the required 4 V vs. Li/Li+), excluding side reactions and degradation at both electrodes. The results demonstrate the importance of using balanced and (slightly) overbalanced ECD configurations with complementary-coloring EC electrodes to achieve high cycling stability and fast switching at low operating voltages. Therefore, this three-electrode configuration provides an excellent method for in situ electrochemical characterization of the individual EC electrodes to better understand the redox processes during device operation and to further improve the optical contrast and cycle stability of ECDs.
The Fe-MEPE/Ni1-xO combination was tested on flexible ultrathin ITO glass (ECD1-4). Here, by applying a low voltage of -1 V ↔ 2.5 V, the MEPE/Ni1-xO ECDs can be reversibly switched from a colored (L* = 35.6, a* = 19.4, b* = -26.7) to a nearly colorless (L* = 78.5, a* = -14.0, b* = 21.3) state. This is accompanied by a change in τv from 6% to 53%. The ECDs exhibit fast response and good cycling stability (5% loss of optical contrast over 100 switching cycles).
To further improve color neutrality and cycling stability, ECDs combining Fe-MEPE and mixed metal oxides as ion storage layers were investigated. Titanium manganese oxide (TMO, Fraunhofer IST) and titanium vanadium oxide (TiVOx, EControl-Glas GmbH & Co. KG) electrodes are compared for use as optically-passive ion storage layers. TiVOx with a maximum charge density of approx. 27 mC·cm-2 and a coloration efficiency of η = 2 cm·C-1 at 584 nm shows a color change from yellow to light gray at 2 V vs. Ag/AgCl, while the slightly anodically-coloring Ti-rich TMO (10.5 mC·cm-², η584 nm = -4 cm·C-1) switches from light yellow to colorless at -2.5 V vs. Ag/AgCl. These materials show only a slight change in τv value from 85% to 75% and from 72% to 81%, respectively, thus reaching the requirements for highly transmissive optical-passive ion storage layers. The ECDs with Fe-MEPE in combination with TiVOx (ECD2-1) and TMO-1 (ECD2-2) are blue-purple in the dark state (0 V) and turn colorless by applying a voltage of 1.5 V, changing the τv value from 28% to 69% and from 21% to 57% in 3 s and 13 s, respectively. The ECDs show fast responses and high cyclability over more than 100 cycles.
In the last section, the simplification of cell architecture by using redox mediators shows that different redox mediators (KHCF(III), Fc-PF6, Fc-BF4, and TMTU) can be used in type II ECDs (4 instead of 5 layers) consisting of Fe-MEPE or Ni1-xO thin film electrodes. The combination of KHCF(III) with Fe-MEPE has a low cycling stability due to the electrochemical formation of Prussian blue (PB). This side reaction is undesirable as it decreases the optical contrast. It can be avoided by using Fc+- (ECD3-5/6) or TMTU-based (ECD3-7) redox mediators, which exhibit reversible redox behavior. A high τv value of 72% is obtained for the use of TMTU. Low concentrations (<0.1 M) of redox mediators decrease the cell voltage for complete switching without affecting the optical properties of the ECDs. The redox couple TMTU/TMFDS2+ (molar ratio of 1:0.1 in 1 M LiClO4/PC as electrolyte) works well in combination with
Ni1-xO electrodes (ECD3-10), with a change in τv value from 38% (colored at 2 V, L* = 67.1, a* = 3.9, b* = 17.2) to 70% at (decolored at -2 V, L* = 86.6, a* = -0.6, b* = 17.2). This result implies that incorporating redox mediators into the electrolyte is an effective means to simplify the cell assembly and color neutrality can be obtained with one optically active WE and a color-neutral redox mediator. Moreover, the combination of Ni1-xO and the colorless TMTU/TMFDS2+ redox mediator is a potential candidate to obtain neutrally colored ECDs.
It is shown that the lab-sized FTO- and ultra-thin ITO-glass-based ECDs are very attractive for energy-efficient EC applications, e.g., in architectural or automotive glazing, aircraft, ships, home appliances and displays. To monitor the EC performance and to prevent diverging electrode potentials during the switching process, the studied three-electrode configuration can help to extend the cycle stability as well as to improve the charge balancing of dimmable applications. The studied ECDs display a route towards neutral tint, e.g., EC active Ni1-xO, optically-inactive mixed metal oxides, and colorless redox mediators. Nevertheless, color neutrality should be further improved to meet the requirements for industrial applications. For future work, a scale-up process from lab-sized (few cm²) to prototype (few m²) ECDs will be necessary.
RNA-cleaving deoxyribozymes have found broad application as useful tools for RNA biochemistry. However, tedious in vitro selection procedures combined with laborious characterization of individual candidate catalysts hinder the discovery of novel catalytic motifs. Here, we present a new high-throughput sequencing method, DZ-seq, which directly measures activity and localizes cleavage sites of thousands of deoxyribozymes. DZ-seq exploits A-tailing followed by reverse transcription with an oligo-dT primer to capture the cleavage status and sequences of both deoxyribozyme and RNA substrate. We validated DZ-seq by conventional analytical methods and demonstrated its utility by discovery of novel deoxyribozymes that allow for cleaving challenging RNA targets or the analysis of RNA modification states.
Human-computer interfaces have the potential to support mental health practitioners in alleviating mental distress.
Adaption of this technology in practice is, however, slow.
We provide means to extend the design space of human-computer interfaces for mitigating mental distress.
To this end, we suggest three complementary approaches: using presentation technology, using virtual environments, and using communication technology to facilitate social interaction.
We provide new evidence that elementary aspects of presentation technology affect the emotional processing of virtual stimuli, that perception of our environment affects the way we assess our environment, and that communication technologies affect social bonding between users.
By showing how interfaces modify emotional reactions and facilitate social interaction, we provide converging evidence that human-computer interfaces can help alleviate mental distress.
These findings may advance the goal of adapting technological means to the requirements of mental health practitioners.
This thesis deals with the first part of a larger project that follows the ultimate goal of implementing a software tool that creates a Mission Control Room in Virtual Reality. The software is to be used for the operation of spacecrafts and is specially developed for the unique real-time requirements of unmanned satellite missions. Beginning from launch, throughout the whole mission up to the recovery or disposal of the satellite, all systems need to be monitored and controlled in continuous intervals, to ensure the mission’s success. Mission Operation is an essential part of every space mission and has been undertaken for decades. Recent technological advancements in the realm of immersive technologies pave the way for innovative methods to operate spacecrafts. Virtual Reality has the capability to resolve the physical constraints set by traditional Mission Control Rooms and thereby delivers novel opportunities. The paper highlights underlying theoretical aspects of Virtual Reality, Mission Control and IP Communication. However, the focus lies upon the practical part of this thesis which revolves around the first steps of the implementation of the virtual Mission Control Room in the Unity Game Engine. Overall, this paper serves as a demonstration of Virtual Reality technology and shows its possibilities with respect to the operation of spacecrafts.
One of the pronounced global challenges facing ecologists is how to feed the current growing human population while sustaining biodiversity and ecosystem services. To shed light on this, I investigated the impact of human land use on bee diversity and plant-pollinator interactions in Tanzania Savannah ecosystems. The thesis comprises the following chapters:
Chapter I: General Introduction
This chapter provides the background information including the study objectives and hypotheses. It highlights the ecological importance of bees and the main threats facing bee pollinators with a focus on two land-use practices namely livestock grazing and agriculture. It also highlights the diversity and global distribution of bees. It further introduces the tropical savannah ecosystem, its climate, and vegetation characteristics and explains spectacular megafauna species of the system that form centers of wildlife tourism and inadequacy knowledge on pollinators diversity of the system. Finally, this chapter describes the study methodology including, the description of the study area, study design, and data collection.
Chapter II: Positive effects of low livestock grazing intensity on East African bee assemblages mediated by increases in floral resources
The impact of livestock grazing intensity on bee assemblage has been subjected to research over decades. Moreover, most of these studies have been conducted in temperate Europe and America leaving the huge tropical savannah of East Africa less studied. Using sweep netting and pan traps, a total of 183 species (from 2,691 individuals) representing 55 genera and five families were collected from 24 study sites representing three levels of livestock grazing intensity in savannah ecosystem of northern Tanzania. Results have shown that moderate livestock grazing slightly increased bee species richness. However, high livestock grazing intensity led to a strong decline. Besides, results revealed a unimodal distribution pattern of bee species richness and mean annual temperature. It was also found that the effect of livestock grazing and environmental temperature on bee species richness was mediated by a positive effect of moderate grazing on floral resource richness. The study, therefore, reveals that bee communities of the African savannah zone may benefit from low levels of livestock grazing as this favors the growth of flowering plant species. A high level of livestock grazing intensity will cause significant species losses, an effect that may increase with climatic warming.
Chapter III: Agricultural intensification with seasonal fallow land promotes high bee diversity in Afrotropical drylands
This study investigated the impact of local agriculture intensification on bee diversity in the Afro tropical drylands of northern Tanzania. Using sweep netting and pan traps, a total of 219 species (from 3,428 individuals) representing 58 genera and six families were collected from 24 study sites (distributed from 702 to 1708 m. asl) representing three levels of agriculture intensity spanning an extensive gradient of mean annual temperature. Results showed that bee species richness increased with agricultural intensity and with increasing temperature. However, the effects of agriculture intensity and temperature on bee species richness were mediated by the positive effects of agriculture and temperature on floral resource richness used by bee pollinators. Moreover, results showed that variation of bee body sizes increases with agricultural intensification, “that effect”, however, diminished in environments with higher temperatures. This study reveals that bee assemblages in Afrotropical drylands benefit from agriculture intensification in the way it is currently practiced. Further intensification, including year-round irrigated crop monocultures and extensive use of agrochemicals, is likely to exert a negative impact on bee diversity and pollination services, as reported in temperate regions. Moreover, several bee species were restricted to natural savannah habitats. Therefore, to conserve bee communities in Afro tropical drylands and guarantee pollination services, a mixture of savannah and agriculture, with long periods of fallow land should be maintained.
Chapter IV: Impact of land use intensification and local features on plants and pollinators in Sub-Saharan smallholder farms
For the first time in the region, this study explores the impact of land-use intensification on plants and pollinators in Sub-Saharan smallholder farms. The study complemented field surveys of bees with a modern DNA metabarcoding approach to characterize the foraged plants and thus built networks describing plant-pollinator interactions at the individual insect level. This information was coupled with quantitative traits of landscape composition and floral availability surrounding each farm. The study found that pollinator richness decreased with increasing impervious and agricultural cover in the landscape, whereas the flower density at each farm correlated with pollinator richness. The intensification of agricultural land use and urbanization correlated with a higher foraging niche overlap among pollinators due to the convergence of individuals' flower-visiting strategies. Furthermore, within farms, the higher availability of floral resources drove lower niche overlap among individuals, greater abundance of flower visitors shaped higher generalization at the networks level (H2I), possibly due to increased competition. These mechanistic understandings leading to individuals’ foraging niche overlap and generalism at the network level, could imply stability of interactions and the pollination ecosystem service. The integrative survey proved that plant-pollinator systems are largely affected by land use intensification and by local factors in smallholder farms of Sub-Saharan Africa. Thus, policies promoting nature-based solutions, among which the introduction of more pollinator-friendly practices by smallholder farmers, could be effective in mitigating the intensification of both urban and rural landscapes in this region, as well as in similar Sub-Saharan contexts.
Chapter V: A synopsis of the Bee occurrence data of northern Tanzania
This study represents a synopsis of the bee occurrence data of northern Tanzania obtained from a survey in the Kilimanjaro, Arusha, and Manyara regions. Bees were sampled using two standardized methods, sweep netting and colored pan traps. The study summed up 953 species occurrences of 45 species belonging to 20 genera and four families (Halictidae, Apidae, Megachilidae, and andrenidae) A. This study serves as the baseline information in understanding the diversity and distribution of bees in the northern parts of the country. Understanding the richness and distribution of bees is a critical step in devising robust conservation and monitoring strategies for their populations since limited taxonomic information of the existing and unidentified bee species makes their conservation haphazard.
Chapter VI: General discussion
In general, findings obtained in these studies suggest that livestock grazing and agriculture intensification affects bee assemblages and floral resources used by bee pollinators. Results have shown that moderate livestock grazing intensity may be important in preserving bee diversity. However, high level of livestock grazing intensity may result in a strong decline in bee species richness and abundance. Moreover, findings indicate that agriculture intensification with seasonal fallow lands supports high floral resource richness promoting high bee diversity in Afrotropical drylands. Nonetheless, natural savannahs were found to contain unique bee species. Therefore, agriculture intensification with seasonal fallow should go in hand with conserving remnant savannah in the landscapes to increase bee diversity and ensure pollination services. Likewise, findings suggest that increasing urbanization and agriculture cover at the landscape level reduce plant and pollinator biodiversity with negative impacts on their complex interactions with plants. Conversely, local scale availability of floral resources has shown the positive effects in buffering pollinators decline and mitigating all detrimental effects induced by land-use intensification. Moreover, findings suggest that the impact of human land use (livestock grazing and agriculture) do not act in isolation but synergistically interacts with climatic factors such as mean annual temperature, MAT. The impact of MAT on bee species richness in grazing gradient showed to be more detrimental than in agriculture habitats. This could probably be explained by the remaining vegetation cover following anthropogenic disturbance. Meaning that the remaining vegetation cover in the agricultural gradient probably absorbs the solar radiations hence reducing detrimental effect of mean annual temperature on bee species richness. This one is not the case in grazing gradient since the impact of livestock grazing is severe, leaving the bare land with no vegetation cover. Finally, our findings conclude that understanding the interplay of multiple anthropogenic activities and their interaction with MAT as a consequence of ongoing climate change is necessary for mitigating their potential consequences on bee assemblages and the provision of ecosystem services. Morever, future increases in livestock grazing and agriculture intensification (including year-round crop irrigated monocultures and excessive use of agrochemicals) may lead to undesirable consequences such as species loss and impair provision of pollination services.
In this Doctoral Thesis we investigated the consequences of perturbed mitochondrial calcium handling in the context of a rare human disease, Barth syndrome, in which the altered phospholipid composition of the inner mitochondrial membrane affects the structural organization of several protein complexes, including the mitochondrial calcium uniporter. We discovered that loss of the mitochondrial calcium uniporter in cardiac, but not skeletal muscle mitochondria hinders the calcium-induced adaptation of mitochondrial oxidative metabolism during workload transitions. This mechano-energetic uncoupling impairs the physiological increase in contractile force during physical exercise and might predispose Barth syndrome patients to the development of arrhythmias.
New insights into the histone variant H2A.Z incorporation pathway in \(Trypanosoma\) \(brucei\)
(2022)
The histone variant H2A.Z is a key player in transcription regulation in eukaryotes. Histone acetylations by the NuA4/TIP60 complex are required to enable proper incorporation of the histone variant and to promote the recruitment of other complexes and proteins required for transcription initiation. The second key player in H2A.Z-mediated transcription is the chromatin remodelling complex SWR1, which replaces the canonical histone H2A with its variant. By the time this project started little was known about H2A.Z in the unicellular parasite Trypanosoma brucei. Like in other eukaryotes H2A.Z was exclusively found in the transcription start sites of the polycistronic transcription units where it keeps the chromatin in an open conformation to enable RNA-polymerase II-mediated transcription. Previous studies showed the variant colocalizing with an acetylation of lysine on histone H4 and a methylation of lysine 4 on histone H3. Data indicated that HAT2 is linked to H2A.Z since it is required for acetylation of lyinse 10 on histone H4. A SWR1-like complex and a complex homologous to the NuA4/TIP60 could not be identified yet. This study aimed at identifying a SWR1-like remodelling complex in T. brucei and at identifying a protein complex orthologous to NuA4/TIP60 as well as at answering the question whether HAT2 is part of this complex or not. To this end, I performed multiple mass spectrometry-coupled co-Immunoprecipitation assays with potential subunits of a SWR1 complex, HAT2 and a putative homolog of a NuA4/TIP60 subunit. In the course of these experiments, I was able to identify the TbSWR1 complex. Subsequent cell fractionation and chromatin immunoprecipitation-coupled sequencing analysis experiments confirmed, that this complex is responsible for the incorporation of the histone variant H2A.Z in T. brucei. In addition to this chromatin remodelling complex, I was also able to identify two histone acetyltransferase complexes assembled around HAT1 and HAT2. In the course of my study data were published by the research group of Nicolai Siegel that identified the histone acetyltransferase HAT2 as being responsible for histone H4 acetylation, in preparation to promote H2A.Z incorporation. The data also indicated that HAT1 is responsible for acetylation of H2A.Z. According to the literature, this acetylation is required for proper transcription initiation. Experimental data generated in this study indicated, that H2A.Z and therefore TbSWR1 is involved in the DNA double strand break response of T. brucei. The identification of the specific complex composition of all three complexes provided some hints about how they could interact with each other in the course of transcription regulation and the DNA double strand break response. A proximity labelling approach performed with one of the subunits of the TbSWR1 complex identified multiple transcription factors, PTM writers and proteins potentially involved in chromatin maintenance. Overall, this work will provide some interesting insights about the composition of the complexes involved in H2A.Z incorporation in T. brucei. Furthermore, it is providing valuable information to set up experiments that could shed some light on RNA-polymerase II-mediated transcription and chromatin remodelling in T. brucei in particular and Kinetoplastids in general.
This work investigates the correlations between spin states and the light emission properties of organic light-emitting diodes (OLEDs), which are based on the principle of thermally activated delayed fluorescence. The spin-spin interactions responsible for this mechanism are investigated in this work using methods based on spin-sensitive electron paramagnetic resonance (EPR). In particular, this method has been applied to electrically driven OLEDs. The magnetic resonance has been detected by electroluminescence, giving this method its name: electroluminescence detected magnetic resonance (ELDMR).
Initial investigations on a novel deep blue TADF emitter were performed. Furthermore, the ELDMR method was used in this work to directly detect the spin states in the OLED. These measurements were further underlined by time-resolved experiments such as transient electro- and photoluminescence.
Alkylboronates play an important role in synthetic chemistry, materials science and drug discovery. They are easy to handle due to their good air and moisture stability, and can be readily employed to form carbon–carbon and carbon–heteroatom bonds and can be converted to various functional groups under mild reaction conditions. Compared with conventional groups, such as aryl (pseudo)halides or alcohols, organosulfur compounds represent an alternative and complimentary substitute in coupling reactions. The construction of C–B bond from C–SO bond of aryl sulfoxide is presented in Chapter 2. The selective cleavage of either alkyl(C)-sulfonyl or aryl(C)-sulfonyl bonds of an aryl alkyl sulfone via Cu-free or Cu-mediated processes generates the corresponding boronate esters, which are presented in Chapter 3 and Chapter 4. 1,2-Bis(boronate esters) are emerging as important synthetic intermediates for preparing 1,2-difunctional compounds. In addition, the boryl moieties in different environments in a 1,2-bis(boronate ester) can be differentiated and converted selectively, allowing the synthesis of a wide variety of complex molecules. A direct and selective diboration of C–X and C–O bonds for the preparation of 1,2-bis(boronate esters) is presented in Chapter 5.
Objective
Antinuclear antibody (ANA)–positive juvenile idiopathic arthritis (JIA) is characterized by synovial B cell hyperactivity, but the precise role of CD4+ T cells in promoting local B cell activation is unknown. This study was undertaken to determine the phenotype and function of synovial CD4+ T cells that promote aberrant B cell activation in JIA.
Methods
Flow cytometry was performed to compare the phenotype and cytokine patterns of PD-1\(^h\)\(^i\)\(^g\)\(^h\)CD4+ T cells in the synovial fluid (SF) of patients with JIA and T follicular helper cells in the tonsils of control individuals. TCRVB next-generation sequencing was used to analyze T cell subsets for signs of clonal expansion. The functional impact of these T cell subsets on B cells was examined in cocultures in vitro.
Results
Multidimensional flow cytometry revealed the expansion of interleukin-21 (IL-21) and interferon-γ (IFNγ)–coexpressing PD-1\(^h\)\(^i\)\(^g\)\(^h\)CXCR5–HLA–DR+CD4+ T cells that accumulate in the joints of ANA-positive JIA patients. These T cells exhibited signs of clonal expansion with restricted T cell receptor clonotypes. The phenotype resembled peripheral T helper (Tph) cells with an extrafollicular chemokine receptor pattern and high T-bet and B lymphocyte–induced maturation protein 1 expression, but low B cell lymphoma 6 expression. SF Tph cells, by provision of IL-21 and IFNy, skewed B cell differentiation toward a CD21\(^l\)\(^o\)\(^w\)\(^/\)\(^-\)CD11c+ phenotype in vitro. Additionally, SF Tph cell frequencies correlated with the appearance of SF CD21\(^l\)\(^o\)\(^w\)\(^/\)\(^-\)CD11c+CD27–IgM– double-negative (DN) B cells in situ.
Many dyes suffer from fast non-radiative decay pathways, thereby showing only short-lived excited states and weak photoluminescence. Here we show a pronounced fluorescence enhancement for a weakly fluorescent merocyanine (MC) dye by being co-facially stacked to other dyes in hetero-folda-trimer architectures. By means of fluorescence spectroscopy (lifetime, quantum yield) the fluorescence enhancement was explained by the rigidification of the emitting chromophore in the defined foldamer architecture and the presence of a non-forbidden lowest exciton state in H-coupled hetero-aggregates. This folding-induced fluorescence enhancement (FIFE) for specific sequences of π-stacked dyes points at a viable strategy toward improved fluorophores that relates to the approach used by nature in the green fluorescent protein (GFP).
A one-pot synthesis of a CAAC-stabilized, unsymmetrical, cyclic diborene was achieved via consecutive two-electron reduction steps from an adduct of CAAC and B\(_2\)Br\(_4\)(SMe\(_2\))\(_2\). Theoretical studies revealed that this diborene has a considerably smaller HOMO–LUMO gap than those of reported NHC- and phosphine-supported diborenes. Complexation of the diborene with [AuCl(PCy\(_3\))] afforded two diborene–Au\(^I\) π complexes, while reaction with DurBH\(_2\), P\(_4\) and a terminal acetylene led to the cleavage of B−H, P−P, and C−C π bonds, respectively. Thermal rearrangement of the diborene gave an electron-rich cyclic alkylideneborane, which readily coordinated to Ag\(^I\) via its B=C double bond.
Two macrocyclic architectures comprising oligothiophene strands that connect the imide positions of a perylene bisimide (PBI) dye have been synthesized via a platinum-mediated cross-coupling strategy. The crystal structure of the double bridged PBI reveals all syn-arranged thiophene units that completely enclose the planar PBI chromophore via a 12-membered macrocycle. The target structures were characterized by steady-state UV/Vis absorption, fluorescence and transient absorption spectroscopy, as well as cyclic and differential pulse voltammetry. Both donor–acceptor dyads show ultrafast Förster Resonance Energy Transfer and photoinduced electron transfer, thereby leading to extremely low fluorescence quantum yields even in the lowest polarity cyclohexane solvent.
This work investigated phenotypes of complex regional pain syndrome (CRPS) with special interest in sensory abnormalities. Quantitative sensory testing (QST) was used to assess sensory function. In addition, clinical and sensory differences of fracture and CRPS patients were addressed. Finally, the longitudinal outcome of CRPS patients was part of this thesis.
Analysis of the Frequency of Kidney Toxicity in Preclinical Safety Studies using the eTOX Database
(2022)
This research aimed to obtain reliable data on the frequency of different
types of renal toxicity findings in 28-day oral gavage studies in Wistar rats, their
consistency across species and study duration, as well as the correlation between histopathological endpoints and routinely used clinical chemistry parameters indicative of kidney injury. Analysis of renal histopathological findings was
carried out through extraction of information from the IMI eTOX database.
Spontaneous renal histopathological findings in 28-day oral gavage studies in control Wistar rats and beagle dogs confirmed tubular basophilia and renal
dilation as the most frequent incidental findings in controls, whereas necrosis
and glomerulosclerosis were not identified at all or only rarely as a background
lesion.
Histopathological evidence of necrosis and glomerulosclerosis was associated with changes in clinical chemistry parameters in 28-day oral gavage
Wistar rat studies. Necrosis was frequently accompanied by a statistically significant rise in serum creatinine and serum urea, whereas serum albumin was
frequently found to decrease statistically significantly in treatment groups in
which necrosis was recorded. In contrast to necrosis, glomerulosclerosis was
not associated with statistically significant changes in serum creatinine and urea
in any of the 28-day oral gavage Wistar rat treatment groups, but appears to be
best reflected by a pattern of statistically significantly lowered serum albumin
and serum protein together with a statistically significant increase in serum cholesterol. As might have been expected based on the high background incidences
of tubular basophilia and dilation, no consistent changes in any of the clinical
chemistry parameters were evident in animals in which renal lesions were confined to renal tubular basophilia or dilation. In summary, the routinely provided
clinical chemistry parameters are rather insensitive - novel kidney biomarkers
such as Cystatin C, β-trace protein and Kidney injury molecule 1 should further
be evaluated and integrated into routine preclinical and clinical practice. However, evaluation of clinical chemistry data was limited by the lack of individual
animal data. Even though an extensive amount of preclinical studies is accessible
through the eTOX database, comparison of consistency across time was limited
by the limited number of shorter- and longer term studies conducted with the
compounds identified as causing renal histopathological changes within a 28-
day study in rats. A high consistency across time for both treatment-related tubular basophilia and treatment-related dilation cannot be confirmed for either of
the two effects as these two findings were both induced only rarely in studies
over a different treatment-duration other than 28 days after administration of the
compounds which provoked the respective effect in a 28-day study. For the
finding of necrosis consistency across time was low with the exception of
“AZ_GGA_200002321”, in which renal papillary necrosis was identified consistently throughout different treatment durations (2, 4, 26, 104 weeks). No shorter and longer-term studies were available for the compounds identified as causing
glomerulosclerosis within a 28-day study in rats.
No consistent findings of the selected histopathological endpoints were
identified in any of the corresponding 28-day oral gavage beagle dog studies
after treatment with the identical compounds, which caused the respective effect after 28-day treatment in rats. However, in the overwhelming majority of
cases, beagle dogs were administered lower doses in these studies in comparison to the corresponding 28-day Wistar rat studies.
Searching the eTOX database yielded no 28-day oral gavage studies in
Wistar and Wistar Han rats in which accumulation of hyaline droplets, tubular
atrophy or hyperplasia was recorded. Only one 28-day oral gavage Wistar rat
study was identified with the histopathological result of neutrophilic inflammation. Consequently, evaluation of these four renal findings in relation to clinical
chemistry parameters and consistency across time and species cannot be
made.
In summary, this work contributes knowledge through mining and evaluating the eTOX database on a variety of specific renal endpoints that frequently
occur after administration of trial substances in 28-day oral gavage studies in
Wistar rats in the field of preclinical toxicity with specific focus on their frequency relation to background findings, as well as consistency across time and species. Targeted statistical evaluation of in vivo data within joint research ventures
such as the eTOX project, presents an enormous opportunity for an innovative
future way of aiding preclinical research towards a more efficient research in the
preclinical stage of drug development. This could be achieved through the augmentation of methodological strategies and possibly novel software tools in order to predict in vivo toxicology of new molecular entities by means of information that is already available before early stages of the drug development
pipeline begin.
Anxiety disorders are the most prevalent group of neuropsychiatric disorders and go along with high personal suffering. They often arise during childhood and show a progression across the life span, thus making this age a specific vulnerable period during development. Still most research about these disorders is done in adults. In light of this, it seems of utmost importance to identify predictive factors of anxiety disorders in children and adolescents. Temperament or personality traits have been proclaimed as risk markers for the development of subsequent anxiety disorders, but their exact interplay is not clear. In this dissertation an effort is made to contribute to the understanding of how risk markers of early temperamental traits, in this case Trait Anxiety, Anxiety Sensitivity and Separation Anxiety are interplaying. While Trait Anxiety is regarded as a more general tendency to react anxiously to threatening situations or stimuli (Unnewehr, Joormann, Schneider, & Margraf, 1992), Anxiety Sensitivity is the tendency to react with fear to one’s own anxious sensations (Allan et al., 2014; S. Reiss, Peterson, Gursky, & McNally, 1986), and Separation Anxiety is referring to the extent to which the child is avoiding certain situations because of the fear of being separated from primary care givers (In-Albon & Schneider, 2011). In addition, it will be addressed how these measurements are associated with negative life events, as well as brain functioning and if they are malleable by a prevention program in children and adolescents. In study 1 the aim was to extend the knowledge about the interrelations of this anxiety dimensions and negative life events. Results indicated positive correlations of all three anxiety traits as well as with negative life events. Thus, a close connection of all three anxiety measures as well as with negative life events could be indicated. The closest association was found between Anxiety Sensitivity and Trait Anxiety and between Separation Anxiety and Anxiety Sensitivity. Furthermore, negative life events functioned as mediator between Anxiety Sensitivity and Trait Anxiety, indicating that a part of the association was explained by negative life events. In study 2 we extended the findings from study 1 with neurobiological parameters and examined the influence of anxiety traits on emotional brain activation by administering the “emotional face matching task”. This task activated bilateral prefrontal regions as well as both hippocampi and the right amygdala. Further analyses indicated dimension-specific brain activations: Trait Anxiety was associated with a hyperactivation of the left inferior frontal gyrus (IFG) and Separation Anxiety with a lower activation bilaterally in the IFG and the right middle frontal gyrus (MFG). Furthermore, the association between Separation Anxiety and Anxiety Sensitivity was moderated by bi-hemispheric Separation-Anxiety-related IFG activation. Thus, we could identify distinct brain activation patterns for the anxiety dimensions (Trait Anxiety and Separation Anxiety) and their associations (Separation Anxiety and Anxiety Sensitivity). The aim of study 3 was to probe the selective malleability of the anxiety dimensions via a prevention program in an at-risk population. We could identify a reduction of all three anxiety traits from pre- to post-prevention-assessment and that this effect was significant in Anxiety Sensitivity and Trait Anxiety scores. Furthermore, we found that pre-intervention Separation Anxiety and Anxiety Sensitivity post-intervention were associated. In addition, pre-interventive scores were correlated with the intervention-induced change within the measure (i.e., the higher the score before the intervention the higher the prevention-induced change) and pre-intervention Anxiety Sensitivity correlated with the change in Separation Anxiety scores. All relations, seemed to be direct, as mediation/moderation analyses with negative life events did not reveal any significant effect. These results are very promising, because research about anxiety prevention in children and adolescents is still rare and our results are indicating that cognitive-behavioural-therapy based prevention is gilding significant results in an indicated sample even when samples sizes are small like in our study.
In sum the present findings hint towards distinct mechanisms underlying the three different anxiety dimensions on a phenomenological and neurobiological level, though they are highly overlapping (Higa-McMillan, Francis, Rith-Najarian, & Chorpita, 2016; Taylor, 1998). Furthermore, the closest associations were found between Anxiety Sensitivity and Trait Anxiety, as well as between Separation Anxiety and Anxiety Sensitivity. Specifically, we were able to find a neuronal manifestation of the association between Separation Anxiety and Anxiety Sensitivity (Separation Anxiety-specific IFG activation) and a predictive potential on prevention influence. The results of these studies lead to a better understanding of the etiology of anxiety disorders and the interplay between different anxiety-related temperamental traits and could lead to further valuable knowledge about the intervention as well as further prevention strategies.
Background
Systemic sclerosis (SSc) patients often need immunosuppressive medication (IS) for disease control. If SSc is progressive despite IS, autologous hematopoietic stem cell transplantation (aHSCT) is a treatment option for selected SSc patients. aHSCT is effective with good available evidence, but not all patients achieve a treatment-free remission after aHSCT. Thus far, data about the need of IS after aHSCT in SSc is not published. The aim of this study was to investigate the use of IS after aHSCT, its efficacy, and the occurrence of severe adverse events (SAEs).
Methods
Twenty-seven patients with SSc who had undergone aHSCT were included in this single-center retrospective cohort study. Clinical data, including IS, SAEs, and lung function data, were collected.
Results
Sixteen of 27 (59.3%) patients received IS after aHSCT. Methotrexate, rituximab, mycophenolate, cyclophosphamide, and hydroxychloroquine were most commonly used. The main reason for starting IS was SSc progress. Nine patients received rituximab after aHSCT and showed an improvement in modified Rodnan skin score and a stabilization of lung function 2 years after rituximab. SAEs in patients with IS after aHSCT (50.0%) were not more common than in patients without IS (54.6%). SAEs were mostly due to SSc progress, secondary autoimmune diseases, or infections. Two deaths after aHSCT were transplantation related and three during long-term follow-up due to pulmonary arterial hypertension.
Conclusion
Disease progression and secondary autoimmune diseases may necessitate IS after aHSCT in SSc. Rituximab seems to be an efficacious treatment option in this setting. Long-term data on the safety of aHSCT is reassuring.
In mammals, a major fraction of the genome is transcribed as non-coding RNAs. An increasing amount of evidence has accumulated showing that non-coding RNAs play important roles both for normal cell function and in disease processes such as cancer or neurodegeneration. Interpreting the functions of non-coding RNAs and the molecular mechanisms through which they act is one of the most important challenges facing RNA biology today.
In my Ph.D. thesis, I have been investigating the role of 7SK, one of the most abundant non-coding RNAs, in the development and function of motoneurons. 7SK is a highly structured 331 nt RNA transcribed by RNA polymerase III. It forms four stem-loop (SL) structures that serve as binding sites for different proteins. Larp7 binds to SL4 and protects the 3' end from exonucleolytic degradation. SL1 serves as a binding site for HEXIM1, which recruits the pTEFb complex composed of CDK9 and cyclin T1. pTEFb has a stimulatory role for transcription and is regulated through sequestration by 7SK. More recently, a number of heterogeneous nuclear ribonucleoproteins (hnRNPs) have been identified as 7SK interactors. One of these is hnRNP R, which has been shown to have a role in motoneuron development by regulating axon growth. Taken together, 7SK’s function involves interactions with RNA binding proteins, and different RNA binding proteins interact with different regions of 7SK, such that 7SK can be considered as a hub for recruitment and release of different proteins. The questions I have addressed during my Ph.D. are as follows: 1) which region of 7SK interacts with hnRNP R, a main interactor of 7SK? 2) What effects occur in motoneurons after the protein binding sites of 7SK are abolished? 3) Are there additional 7SK binding proteins that regulate the functions of the 7SK RNP?
Using in vitro and in vivo experiments, I found that hnRNP R binds both the SL1 and SL3 region of 7SK, and also that pTEFb cannot be recruited after deleting the SL1 region but is able to bind to a 7SK mutant with deletion of SL3. In order to answer the question of how the 7SK mutations affect axon outgrowth and elongation in mouse primary motoneurons, we proceeded to conduct rescue experiments in motoneurons by using lentiviral vectors. The constructs were designed to express 7SK deletion mutants under the mouse U6 promoter and at the same time to drive expression of a 7SK shRNA from an H1 promoter for the depletion of endogenous 7SK. Using this system we found that 7SK mutants harboring deletions of either SL1 or SL3 could not rescue the axon growth defect of 7SK-depleted motoneurons suggesting that 7SK/hnRNP R complexes are integral for this process.
In order to identify novel 7SK binding proteins and investigate their functions, I proceeded to conduct pull-down experiments by using a biotinylated RNA antisense oligonucleotide that targets the U17-C33 region of 7SK thereby purifying endogenous 7SK complexes. Following mass spectrometry of purified 7SK complexes, we identified a number of novel 7SK interactors. Among these is the Smn complex. Deficiency of the Smn complex causes the motoneuron disease spinal muscular atrophy (SMA) characterized by loss of lower motoneurons in the spinal cord. Smn has previously been shown to interact with hnRNP R. Accordingly, we found Smn as part of 7SK/hnRNP R complexes. These proteomics data suggest that 7SK potentially plays important roles in different signaling pathways in addition to transcription.
Background
Tobacco smoking is accountable for more than one in ten deaths in patients with cardiovascular disease. Thus, smoking cessation has a high priority in secondary prevention of coronary heart disease (CHD). The present study meant to assess smoking cessation patterns, identify parameters associated with smoking cessation and investigate personal reasons to change or maintain smoking habits in patients with established CHD.
Methods
Quality of CHD care was surveyed in 24 European countries in 2012/13 by the fourth European Survey of Cardiovascular Disease Prevention and Diabetes. Patients 18 to 79 years of age at the date of the CHD index event hospitalized due to first or recurrent diagnosis of coronary artery bypass graft, percutaneous coronary intervention, acute myocardial infarction or acute myocardial ischemia without infarction (troponin negative) were included. Smoking status and clinical parameters were iteratively obtained a) at the cardiovascular disease index event by medical record abstraction, b) during a face-to-face interview 6 to 36 months after the index event (i.e. baseline visit) and c) by telephone-based follow-up interview two years after the baseline visit. Parameters associated with smoking status at the time of follow-up interview were identified by logistic regression analysis. Personal reasons to change or maintain smoking habits were assessed in a qualitative interview and analyzed by qualitative content analysis.
Results
One hundred and four of 469 (22.2%) participants had been classified current smokers at the index event and were available for follow-up interview. After a median observation period of 3.5 years (quartiles 3.0, 4.1), 65 of 104 participants (62.5%) were classified quitters at the time of follow-up interview. There was a tendency of diabetes being more prevalent in quitters vs non-quitters (37.5% vs 20.5%, p=0.07). Higher education level (15.4% vs 33.3%, p=0.03) and depressed mood (17.2% vs 35.9%, p=0.03) were less frequent in quitters vs non-quitters. Quitters more frequently participated in cardiac rehabilitation programs (83.1% vs 48.7%, p<0.001). Cardiac rehabilitation appeared as factor associated with smoking cessation in multivariable logistic regression analysis (OR 5.19, 95%CI 1.87 to 14.46, p=0.002). Persistent smokers at telephone-based follow-up interview reported on addiction as wells as relaxation and pleasure as reasons to continue their habit. Those current and former smokers who relapsed at least once after a quitting attempt, stated future health hazards as their main reason to undertake quitting attempts. Prevalent factors leading to relapse were influence by their social network and stress. Successful quitters at follow-up interview referred to smoking-related harm done to their health having had been their major reason to quit.
Interpretation
Participating in a cardiac rehabilitation program was strongly associated with smoking cessation after a cardiovascular disease index event. Smoking cessation counseling and relapse prophylaxis may include alternatives for the pleasant aspects of smoking and incorporate effective strategies to resist relapse.
Experimental investigation of the effect of distal stress induction on threat conditioning in humans
(2022)
Stress constitutes a major risk factor for the development of psychiatric disorders, such as PTSD and anxiety disorders, by shifting the brain into a state of sensitization and makes it more vulnerable when being exposed to further aversive events. This was experimentally in-vestigated in rodents by examining the effect of a distal stress induction on threat conditioning, where stress impaired extinction learning and caused spontaneous recovery. However, this effect has never been experimentally investigated in humans, so far. Thus, the aim of this dissertation was to investigate the effect of distal stress on threat conditioning in humans.
Therefore, two subsequent studies were conducted. For both studies, the threat conditioning paradigm comprised threat acquisition, extinction learning, and re-extinction. In the threat acquisition phase, two geometrical shapes were used as conditioned stimulus (CS), from which one (CS+) was paired with a painful electric stimulus (unconditioned stimulus, US), but not the other one (CS-). During extinction learning 24 h later and re-extinction seventeen days later, CSs were again presented but without any US delivery.
In Study 1, 69 participants underwent either a stress (socially evaluated cold pressor test; SECPT) or sham protocol 10 days prior to threat conditioning. Furthermore, context effects were examined by placing the stress protocol in the same context (context-A stress, and sham group) or a different context (context-B stress group) than conditioning. Results revealed that the context-A, but not context-B, stress group displayed impaired safety learning (i.e. potenti-ation towards CS-) for startle response during threat acquisition. Moreover, the same stress group showed impaired threat extinction, evident in sustained CS discrimination in valence and arousal ratings during extinction learning, and memory recall. In sum, distal stress on the one hand impaired safety learning during threat conditioning on a level of startle response. On the other hand, stress impaired threat extinction on a level of ratings. Noteworthy, the effect of distal stress was only found when the stressor was placed in the same context as later threat learning. Hence, suggesting that the combination of stressor and stressor-associated context exerted the effect on threat extinction.
In Study 2, it was examined if distal stress induction could also have an impact on threat and extinction processes without the necessity of context association. Therefore, the same stress (n = 45) or sham protocol (n = 44) as in Study 1 was conducted in a different context than and 24 h prior to a threat conditioning paradigm. Similar to Study 1, weakened extinction learning was found in fear ratings for the stress (vs. sham) group, which was indicated by persistent CS+/CS- differentiation after the first block of extinction trials. Alterations in safety learning towards the CS- during threat acquisition were only supported by significant correlations between stress measures on the stress day and conditioned startle response of the CS- during acquisition.
Taken together, in two subsequent studies this dissertation provided first evidence of impaired threat extinction after distal stress induction in humans. Furthermore, impairments in safety learning, as can be observed in PTSD, were additionally demonstrated. Interestingly, the effects were boosted and more profound when associating the stressor to the later learning context. These results have clinical implications as they can be translated to the notion that prior stress exposure makes an individual more vulnerable for later aversive events.
The importance of proactive and timely prediction of critical events is steadily increasing, whether in the manufacturing industry or in private life. In the past, machines in the manufacturing industry were often maintained based on a regular schedule or threshold violations, which is no longer competitive as it causes unnecessary costs and downtime. In contrast, the predictions of critical events in everyday life are often much more concealed and hardly noticeable to the private individual, unless the critical event occurs. For instance, our electricity provider has to ensure that we, as end users, are always supplied with sufficient electricity, or our favorite streaming service has to guarantee that we can watch our favorite series without interruptions. For this purpose, they have to constantly analyze what the current situation is, how it will develop in the near future, and how they have to react in order to cope with future conditions without causing power outages or video stalling.
In order to analyze the performance of a system, monitoring mechanisms are often integrated to observe characteristics that describe the workload and the state of the system and its environment. Reactive systems typically employ thresholds, utility functions, or models to determine the current state of the system. However, such reactive systems cannot proactively estimate future events, but only as they occur. In the case of critical events, reactive determination of the current system state is futile, whereas a proactive system could have predicted this event in advance and enabled timely countermeasures. To achieve proactivity, the system requires estimates of future system states. Given the gap between design time and runtime, it is typically not possible to use expert knowledge to a priori model all situations a system might encounter at runtime. Therefore, prediction methods must be integrated into the system. Depending on the available monitoring data and the complexity of the prediction task, either time series forecasting in combination with thresholding or more sophisticated machine and deep learning models have to be trained.
Although numerous forecasting methods have been proposed in the literature, these methods have their advantages and disadvantages depending on the characteristics of the time series under consideration. Therefore, expert knowledge is required to decide which forecasting method to choose. However, since the time series observed at runtime cannot be known at design time, such expert knowledge cannot be implemented in the system. In addition to selecting an appropriate forecasting method, several time series preprocessing steps are required to achieve satisfactory forecasting accuracy. In the literature, this preprocessing is often done manually, which is not practical for autonomous computing systems, such as Self-Aware Computing Systems. Several approaches have also been presented in the literature for predicting critical events based on multivariate monitoring data using machine and deep learning. However, these approaches are typically highly domain-specific, such as financial failures, bearing failures, or product failures. Therefore, they require in-depth expert knowledge. For this reason, these approaches cannot be fully automated and are not transferable to other use cases. Thus, the literature lacks generalizable end-to-end workflows for modeling, detecting, and predicting failures that require only little expert knowledge.
To overcome these shortcomings, this thesis presents a system model for meta-self-aware prediction of critical events based on the LRA-M loop of Self-Aware Computing Systems. Building upon this system model, this thesis provides six further contributions to critical event prediction. While the first two contributions address critical event prediction based on univariate data via time series forecasting, the three subsequent contributions address critical event prediction for multivariate monitoring data using machine and deep learning algorithms. Finally, the last contribution addresses the update procedure of the system model. Specifically, the seven main contributions of this thesis can be summarized as follows:
First, we present a system model for meta self-aware prediction of critical events. To handle both univariate and multivariate monitoring data, it offers univariate time series forecasting for use cases where a single observed variable is representative of the state of the system, and machine learning algorithms combined with various preprocessing techniques for use cases where a large number of variables are observed to characterize the system’s state. However, the two different modeling alternatives are not disjoint, as univariate time series forecasts can also be included to estimate future monitoring data as additional input to the machine learning models. Finally, a feedback loop is incorporated to monitor the achieved prediction quality and trigger model updates.
We propose a novel hybrid time series forecasting method for univariate, seasonal time series, called Telescope. To this end, Telescope automatically preprocesses the time series, performs a kind of divide-and-conquer technique to split the time series into multiple components, and derives additional categorical information. It then forecasts the components and categorical information separately using a specific state-of-the-art method for each component. Finally, Telescope recombines the individual predictions. As Telescope performs both preprocessing and forecasting automatically, it represents a complete end-to-end approach to univariate seasonal time series forecasting. Experimental results show that Telescope achieves enhanced forecast accuracy, more reliable forecasts, and a substantial speedup. Furthermore, we apply Telescope to the scenario of predicting critical events for virtual machine auto-scaling. Here, results show that Telescope considerably reduces the average response time and significantly reduces the number of service level objective violations.
For the automatic selection of a suitable forecasting method, we introduce two frameworks for recommending forecasting methods. The first framework extracts various time series characteristics to learn the relationship between them and forecast accuracy. In contrast, the other framework divides the historical observations into internal training and validation parts to estimate the most appropriate forecasting method. Moreover, this framework also includes time series preprocessing steps. Comparisons between the proposed forecasting method recommendation frameworks and the individual state-of-the-art forecasting methods and the state-of-the-art forecasting method recommendation approach show that the proposed frameworks considerably improve the forecast accuracy.
With regard to multivariate monitoring data, we first present an end-to-end workflow to detect critical events in technical systems in the form of anomalous machine states. The end-to-end design includes raw data processing, phase segmentation, data resampling, feature extraction, and machine tool anomaly detection. In addition, the workflow does not rely on profound domain knowledge or specific monitoring variables, but merely assumes standard machine monitoring data. We evaluate the end-to-end workflow using data from a real CNC machine. The results indicate that conventional frequency analysis does not detect the critical machine conditions well, while our workflow detects the critical events very well with an F1-score of almost 91%.
To predict critical events rather than merely detecting them, we compare different modeling alternatives for critical event prediction in the use case of time-to-failure prediction of hard disk drives. Given that failure records are typically significantly less frequent than instances representing the normal state, we employ different oversampling strategies. Next, we compare the prediction quality of binary class modeling with downscaled multi-class modeling. Furthermore, we integrate univariate time series forecasting into the feature generation process to estimate future monitoring data. Finally, we model the time-to-failure using not only classification models but also regression models. The results suggest that multi-class modeling provides the overall best prediction quality with respect to practical requirements. In addition, we prove that forecasting the features of the prediction model significantly improves the critical event prediction quality.
We propose an end-to-end workflow for predicting critical events of industrial machines. Again, this approach does not rely on expert knowledge except for the definition of monitoring data, and therefore represents a generalizable workflow for predicting critical events of industrial machines. The workflow includes feature extraction, feature handling, target class mapping, and model learning with integrated hyperparameter tuning via a grid-search technique. Drawing on the result of the previous contribution, the workflow models the time-to-failure prediction in terms of multiple classes, where we compare different labeling strategies for multi-class classification. The evaluation using real-world production data of an industrial press demonstrates that the workflow is capable of predicting six different time-to-failure windows with a macro F1-score of 90%. When scaling the time-to-failure classes down to a binary prediction of critical events, the F1-score increases to above 98%.
Finally, we present four update triggers to assess when critical event prediction models should be re-trained during on-line application. Such re-training is required, for instance, due to concept drift. The update triggers introduced in this thesis take into account the elapsed time since the last update, the prediction quality achieved on the current test data, and the prediction quality achieved on the preceding test data. We compare the different update strategies with each other and with the static baseline model. The results demonstrate the necessity of model updates during on-line application and suggest that the update triggers that consider both the prediction quality of the current and preceding test data achieve the best trade-off between prediction quality and number of updates required.
We are convinced that the contributions of this thesis constitute significant impulses for the academic research community as well as for practitioners. First of all, to the best of our knowledge, we are the first to propose a fully automated, end-to-end, hybrid, component-based forecasting method for seasonal time series that also includes time series preprocessing. Due to the combination of reliably high forecast accuracy and reliably low time-to-result, it offers many new opportunities in applications requiring accurate forecasts within a fixed time period in order to take timely countermeasures. In addition, the promising results of the forecasting method recommendation systems provide new opportunities to enhance forecasting performance for all types of time series, not just seasonal ones. Furthermore, we are the first to expose the deficiencies of the prior state-of-the-art forecasting method recommendation system.
Concerning the contributions to critical event prediction based on multivariate monitoring data, we have already collaborated closely with industrial partners, which supports the practical relevance of the contributions of this thesis. The automated end-to-end design of the proposed workflows that do not demand profound domain or expert knowledge represents a milestone in bridging the gap between academic theory and industrial application. Finally, the workflow for predicting critical events in industrial machines is currently being operationalized in a real production system, underscoring the practical impact of this thesis.
Ongoing research to fight cancer, one of the dominant diseases of the 21st century has led to big progress especially when it comes to understanding the tumor growth and metastasis. This includes the discovery of the molecular mechanisms of tumor vascularization, which is critically required for establishment of tumor metastasis.
Formation of new blood vessels is the first step in tumor vascularization. Therefore, understanding the molecular and cellular basis of tumor vascularization attracted a significant effort studying in biomedical research. The blood vessels for supplying tumor can be formed by sprouting from pre-existing vessels, a process called angiogenesis, or by vasculogenesis, that is de novo formation of blood vessels from not fully differentiated progenitor cell populations. Vasculogenic endothelial progenitor cells (EPCs) can either be activated from populations in the bone marrow reaching the pathological region via the circulation or they can be recruited from local reservoirs. Neovessel formation influences tumor progression, hence therapeutic response model systems of angiogenesis/vasculogenesis are necessary to study the underlying mechanisms. Although, initially the research in this area focused more on angiogenesis, it is now well understood that both angiogenesis and postnatal vasculogenesis contribute to neovessel formation in adult under both most pathological as well as physiological conditions. Studies in the last two decades demonstrate that in addition to the intimal layer of fully differentiated mature endothelial cells (ECs) and various smaller supplying vessels (vasa vasorum) that can serve as a source for new vessels by angiogenesis, especially the adventitia of large and medium size blood vessels harbors various vascular wall-resident stem and progenitor cells (VW-SPCs) populations that serve as a source for new vessels by postnatal vasculogenesis. However, little is known about the potential role of VW-SPCs in tumor vascularization.
To this end, the present work started first to establish a modified aortic ring assay (ARA) using mouse aorta in order to study the contribution of vascular adventitia-resident VW-SPCs to neovascularization in general and in presence of tumor cells. ARA is already established an ex vivo model for neovascularization allows to study the morphogenetic events of complex new vessel formation that includes all layers of mature blood vessels, a significant advantage over the assays that employ monolayer endothelial cell cultures. Moreover, in contrast to assays employing endothelial cells monocultures, both angiogenic and vasculogenic events take place during new vessel formation in ARA although the exact contribution of these two processes to new vessel formation cannot be easily distinguished in conventional ARA. Thus, in this study, a modified protocol for the ARA (mdARA) was established by either removing or keeping the aortic adventitia in place. The mdARA allows to distinguish the role of VW-SPCs from those of other aortic layers. The present data show that angiogenic sprouting from mature aortic endothelium was markedly delayed when the adventitial layer was removed. Furthermore, the network between the capillary-like sprouts was significantly reduced in absence of aortic adventitia. Moreover, the stabilization of new sprouts by assembling the NG2+ pericyte-like cells that enwrapped the endothelial sprouts from the outside was improved when the adventitial layer remained in place.
Next, mimicking the tumor-vessel adventitia-interaction, multicellular tumor spheroids (MCTS) and aortic rings (ARs) with or without adventitia of C57BL/6-Tg (UBC-GFP) mice were confronted within the collagen gel and cultured ex vivo. This 3D model enabled analysis of the mobilization, migration and capillary-like sprouts formation by VW-SPCs within tumor-vessel wall-interface in comparison to tumor-free side of the ARs. Interestingly, while MCTS preferred the uptake of single vascular adventitia-derived cells, neural spheroids were directly penetrated by capillary-like structures that were sprouted from the aortic adventitia. In summary, the model established in this work allows to study new vessel formation by both postnatal vasculogenesis and angiogenesis under same conditions. It can be applied in various mouse models including reporter mouse models, e.g. Cxcr1 CreER+/mTmG+/- mice, in which GFP-marked macrophages of the vessel wall were directly observed as they mobilized from their niche and migrated into collagen gel. Another benefit of the model is that it can be used for testing different factors such as small molecules, growth factors, cytokines, and drugs with both pro- and anti-angiogenic/vasculogenic effects.
The interaction of bacterial pathogens and the human host is a complex process that has shaped both organisms on a molecular, cellular and population level. When pathogenic bacteria infect the human body, a battle ensues between the host immune system and the pathogen. In order to escape an immune response and to colonize the host, pathogenic bacteria have developed diverse virulence strategies and some pathogens even replicate within host cells. For survival and propagation within the dynamic environment of a host cell, these bacteria interfere with the regulation of host pathways, such as the cell cycle, for their own benefit.
The intracellular pathogen Salmonella Typhimurium invades eukaryotic cells and resides and replicates in a modified vacuolar compartment in which it is protected from the innate immune response. To this end, it employs a set of virulence factors that help to invade cells (SPI-1 effectors) and to hijack and modify the host endolysosomal system, in order to stabilize and mature its vacuolar niche (SPI-2 effectors). Previous studies have shown that Salmonella arrests host cells in G2/M phase and that Salmonella infected cells progress faster from G1 into S phase, suggesting that the G1 phase is disadvantageous for Salmonella infection. In fact, it has already been observed that Salmonella replication is impaired in G1 arrested cells. However, the reason for this impairment remained unclear.
The current study addressed this question for the first time and revealed that the highly adapted, intracellular lifestyle of Salmonella is drastically altered upon G1 arrest of the host cell. It is shown that proteasomal degradation in G1 arrested cells is delayed and endolysosomal and autophagosomal trafficking is compromised. Accordingly, processing of lysosomal proteins is insufficient and lysosomal activity is decreased; resulting in uneven distribution and accumulation of endolysosomes and autophagosomes, containing undegraded cargo. The deregulation of these cellular signaling pathways affects maturation of the Salmonella containing vacuole (SCV). For the first time it is shown that acidification of SCVs is impaired upon G1 arrest. Thus, an important environmental factor for the switch from SPI-1 to SPI-2 gene expression is
missing and the SPI-2 system is not activated. Consequently, targeting and modification of host cell structures by SPI-2 effectors e.g. recruitment of endolysosomal membrane proteins, like LAMP1, or exchange of endosomal cargo, is compromised.
In addition, degradation of Salmonella SPI-1 effectors by the host proteasome is delayed. Their prolonged presence sustained the recruitment of early endosomes and contributed to the SCV remaining in an early, vulnerable maturation stage. Finally, it was shown that SCV membrane integrity is compromised; the early SCV ruptures and bacteria are released into the cytoplasm. Depending on the host cell type, SPI-2 independent, cytoplasmic replication is promoted. This might favor bacterial spreading, dissemination into the tissue and provide an advantage in host colonization.
Overall, the present study establishes a link between host cell cycle regulation and the outcome of Salmonella infection. It fills the gap of knowledge as to why the host cell cycle stage is of critical importance for Salmonella infection and sheds light on a key aspect of host-pathogen interaction.
Agrochemicals like systemic active ingredients (AI) need to penetrate the outermost barrier of the plant, known as the plant cuticle, to reach its right target site. Therefore, adjuvants are added to provide precise and efficient biodelivery by i.a. modifying the cuticular barrier and increasing the AI diffusion. This modification process is depicted as plasticization of the cuticular wax which mainly consists of very long-chain aliphatic (VLCA) and cyclic compounds. Plasticization of cuticular waxes is pictured as an increase of amorphous domains and/or a decrease of crystalline fractions, but comprehensive, experimental proof is lacking to date. Hence, the objective of this thesis was to i) elucidate the permeation barrier of the plant cuticle to AIs in terms of the different wax fractions and ii) holistically investigate the modification of this barrier using selected oil and surface active adjuvants, an aliphatic leaf wax and an artificial model wax. Therefore, the oil adjuvant methyl oleate (MeO) and other oil derivatives like methyl linolenate (MeLin), methyl stearate (MeSt) and oleic acid (OA) were selected. Three monodisperse, non-ionic alcohol ethoxylates with increasing ethylene oxide monomer (EO) number (C10E2, C10E5, C10E8) were chosen as representatives of the group of surface active agents (surfactants). Both adjuvant classes are commonly used as formulation aids for agrochemicals which are known for its penetration enhancing effect. The aliphatic leaf wax of Schefflera elegantissima was selected, as well as a model wax comprising the four most abundant cuticular wax compounds of this species. Permeation, transpiration and penetration studies were conducted using enzymatically isolated cuticles of Prunus laurocerasus and Garcinia xanthochymus.
Cuticular permeability to the three organic solutes theobromine, caffeine and azoxystrobin differing in lipophilicity was measured using a steady-state two-chamber system separated by the isolated leaf cuticles of the evergreen species P. laurocerasus and G. xanthochymus. Treating the isolated cuticles with methanol selectively removed the cyclic fraction, and membrane permeability to the organic compounds was not altered. In contrast, fully dewaxing the membranes using chloroform resulted in a statistically significant increase in permeance for all compounds and species, except caffeine with cuticles of G. xanthochymus due to a matrix-specific influence on the semi-hydrophilic compound. Crystalline regions may reduce the accessibility to the lipophilic pathway across the waxes and also block hydrophilic domains in the cuticle.
Knowing that the aliphatic wax fraction builds the cuticular diffusion barrier, the influence of the adjuvants on the phase behaviour of an aliphatic cuticular wax as well as the influence on the cuticular penetration of AIs were investigated. Differential scanning calorimetry (DSC) and Fourier-transform infrared spectroscopy (FTIR) were selected to investigate the phase behaviour and thus possible plasticization of pure Schefflera elegantissima leaf wax, its artificial model wax comprising the four most abundant compounds (n-nonacosane, n-hentriacontane, 1-triacontanol and 1-dotriacontanol) and wax adjuvant mixtures. DSC thermograms showed a shift of the melting ranges to lower temperatures and decreased absolute values of the total enthalpy of transition (EOT) for all adjuvant leaf wax blends at 50 % (w/w) adjuvant proportion. The highest decrease was found for C10E2 followed by MeO > OA and C10E8 > MeLin > MeSt. The aliphatic crystallinity determined by FTIR yielded declined values for the leaf and the artificial wax with 50 % MeO. All other adjuvant leaf wax blends did not show a significant decrease of crystallinity. As it is assumed that the cuticular wax is formed by crystalline domains which consist of aliphatic hydrocarbon chains and an amorphous fraction comprising aliphatic chain ends and functional groups, the plasticizers are depicted as wax disruptors influencing amorphization and/or crystallization. The adjuvants can increase crystalline domains using the aliphatic tail whereas their more hydrophilic head is embedded in the amorphous wax fraction. DSC and FTIR showed similar trends using the leaf wax and the model wax in combination with the adjuvants.
In general, cuticular transpiration increased after adding the pure adjuvants to the surface of isolated cuticles or leaf envelopes. As waxes build the cuticular permeation barrier not only to AIs but also to water, the adjuvant wax interaction might affect the cuticular barrier properties leading to increased transpiration. Direct evidence for increased AI penetration with the adjuvants was given using isolated cuticles of P. laurocerasus in combination with the non-steady-state setup simulation of foliar penetration (SOFP) and caffeine at relative humidity levels (RH) of 30, 50 and 80 %. The increase in caffeine penetration was much more pronounced using C10E5 and C10E8 than MeO but always independent of RH. Only C10E2 exhibited an increased penetration enhancing effect positively related to RH. The role of the molecular structure of adjuvants in terms of humectant and plasticizer properties are discussed.
Hence, the current work shows for the first time that the cuticular permeation barrier is associated with the VLCAs rather than the cyclic fraction and that adjuvants structurally influence this barrier resulting in penetration enhancing effects. Additionally, this work demonstrates that an artificial model wax is feasible to mimic the wax adjuvant interaction in conformity with a leaf wax, making it feasible for in-vitro experiments on a larger scale (e.g. screenings). This provides valuable knowledge about the cuticular barrier modification to enhance AI penetration which is a crucial factor concerning the optimization of AI formulations in agrochemistry.
A graph is an abstract network that represents a set of objects, called vertices, and relations between these objects, called edges. Graphs can model various networks. For example, a social network where the vertices correspond to users of the network and the edges represent relations between the users. To better see the structure of a graph it is helpful to visualize it. A standard visualization is a node-link diagram in the Euclidean plane. In such a representation the vertices are drawn as points in the plane and edges are drawn as Jordan curves between every two vertices connected by an edge. Edge crossings decrease the readability of a drawing, therefore, Crossing Optimization is a fundamental problem in Computer Science. This book explores the research frontiers and introduces novel approaches in Crossing Optimization.
Modified nucleotides in tRNAs are important determinants of folding, structure and function. Here we identify METTL8 as a mitochondrial matrix protein and active RNA methyltransferase responsible for installing m\(^3\)C\(_{32}\) in the human mitochondrial (mt-)tRNA\(^{Thr}\) and mt-tRNA\(^{Ser(UCN)}\). METTL8 crosslinks to the anticodon stem loop (ASL) of many mt-tRNAs in cells, raising the question of how methylation target specificity is achieved. Dissection of mttRNA recognition elements revealed U\(_{34}\)G\(_{35}\) and t\(^6\)A\(_{37}\)/(ms\(^2\))i\(^6\)A\(_{37}\), present concomitantly only in the ASLs of the two substrate mt-tRNAs, as key determinants for METTL8-mediated methylation of C\(_{32}\). Several lines of evidence demonstrate the influence of U\(_{34}\), G\(_{35}\), and the m\(^3\)C\(_{32}\) and t\(^6\)A\(_{37}\)/(ms\(^2\))i\(^6\)A\(_{37}\) modifications in mt-tRNA\(^{Thr/Ser(UCN)}\) on the structure of these mt-tRNAs. Although mt-tRNA\(^{Thr/Ser(UCN)}\) lacking METTL8-mediated m\(^3\)C\(_{32}\) are efficiently aminoacylated and associate with mitochondrial ribosomes, mitochondrial translation is mildly impaired by lack of METTL8. Together these results define the cellular targets of METTL8 and shed new light on the role of m\(^3\)C\(_{32}\) within mt-tRNAs.
Exciton coupling between two or more chromophores in a specific environment is a key mechanism associated with color tuning and modulation of absorption energies. This concept is well exemplified by natural photosynthetic proteins, and can also be achieved in synthetic nucleic acid nanostructures. Here we report the coupling of barbituric acid merocyanine (BAM) nucleoside analogues and show that exciton coupling can be tuned by the double helix conformation. BAM is a nucleobase mimic that was incorporated in the phosphodiester backbone of RNA, DNA and GNA oligonucleotides. Duplexes with different backbone constitutions and geometries afforded different mutual dye arrangements, leading to distinct optical signatures due to competing modes of chromophore organization via electrostatic, dipolar, - stacking and hydrogen-bonding interactions. The realized supramolecular motifs include hydrogenbonded BAM–adenine base pairs and antiparallel as well as rotationally stacked BAM dimer aggregates with distinct absorption, CD and fluorescence properties.
The defense against invading pathogens is, amongst other things, mediated via the action of antibodies. Class-switched antibodies and antibodies of high affinity are produced by plasma cells descending from germinal center B (GCB) cells. GCB cells develop in the germinal center (GC), a specialized microstructure found in the B-cell follicle of secondary lymphoid organs. GCB-cell maturation and proliferation are supported by follicular T- helper (Tfh) cells. On the other hand, follicular regulatory T (Tfr) cells control this process in quantity and quality preventing, for instance, the formation of autoantibodies directed against endogenous structures. The development of GCB, Tfh and Tfr cells essentially depends on the migration into the GC, which is mediated via the expression of the chemokine receptor CXCR5.
One transcription factor highly expressed in follicular T cells, comprising Tfh and Tfr cells, is NFATc1. Tfr cells additionally express the transcriptional repressor Blimp-1, which is not expressed in Tfh cells. We found that NFATc1 is transactivating Cxcr5 via response elements in the promoter and enhancer in vitro. Blimp-1 binds to the same elements, transactivating Cxcr5 expression in cooperation with NFATc1, whilst mediating Cxcr5- repression on its own. In Tfr cells Blimp-1 suppresses CXCR5 expression in the absence of NFATc1. Blimp-1 itself is necessary to restrict Tfr-cell frequencies and to mediate Tfr- cell function as in mice with Blimp-1-ablated Tregs high frequencies of Tfr cells do not reduce GCB- or Tfh cell frequencies. NFATc1 and Blimp-1 double deficient Tfr cells show additional loss of function, which becomes visible in clearly expanded antibody titers.
To evaluate the function of NFATc1 in Tfr cells, we not only deleted it, but also overexpressed a constitutive active form of NFATc1/aA (caNFATc1/aA) in regulatory T cells (Tregs). The latter is leading to an upregulation of CXCR5 per cell, without changing Tfh or Tfr-cell frequencies. However, the high density of surface CXCR5 enhances the migration of Tfr cells deep into the GC, which results in a tighter control of the antigen- specific humoral immune response. Additionally, caNFATc1/aA increases the expression of genes coding for Tfr effector molecules like Il1rn, Il10, Tigit and Ctla4. Interestingly, this part of the transcriptional change is dependent on the presence of Blimp-1. Furthermore, Blimp-1 regulates the expression of multiple chemokine receptor genes on the background of caNFATc1/aA.
In contrast, when caNFATc1/aA is overexpressed in all T cells, the frequencies of Tfh- and GCB cells are dominantly reduced. This effect seems to stem from the conventional T- cell (Tcon) side, most probably originating from increased secretion of interleukin-2 (IL- 2) via the caNFATc1/aA overexpressing Tcons. IL-2 is known to hinder the germinal center reaction (GCR) and it might in its abundance not be neutralizable by Tfr cells.
Taken together, NFATc1 and Blimp-1 cooperate to control the migration of Tfr cells into the GC. Tfr cells in the GC depend on NFATc1 and Blimp-1 to perform their proper function. Overexpression of caNFATc1 in Tregs strengthens Tfr function in a Blimp-1-dependent manner, whilst overexpression of caNFATc1 in all T cells dominantly diminishes the GCR.
In this work, accelerated non-Cartesian Magnetic Resonance Imaging (MRI) methods were established and applied to cardiovascular imaging (CMR) at different magnetic field strengths (3T and 7T).
To enable rapid data acquisition, highly efficient spiral k-space trajectories were created. In addition, hybrid sampling patterns such as the twisting radial lines (TWIRL) k-space trajectory were studied.
Imperfections of the dynamic gradient system of a MR scanner result in k-space sampling errors. Ultimately, these errors can lead to image artifacts in non-Cartesian acquisitions.
Among other reasons such as an increased reconstruction complexity, they cause the lack of spiral sequences in clinical routine compared to standard Cartesian imaging.
Therefore, the Gradient System Transfer Functions (GSTFs) of both scanners were determined and used for k-space trajectory correction in post-correction as well as in terms of a pre-emphasis.
The GSTF pre-emphasis was implemented as a fully automatic procedure, which enabled a precise correction of arbitrary gradient waveforms for double-oblique slice orientations.
Consequently, artifacts due to trajectory errors could be mitigated, which resulted in high image quality in non-Cartesian MRI.
Additionally, the GSTF correction was validated by measuring pre-emphasized spiral gradient outputs, which showed high agreement with the theoretical gradient waveforms.
Furthermore, it could be demonstrated that the performance of the GSTF correction is superior to a simple delay compensation approach.
The developed pulse sequences were applied to gated as well as real-time CMR. Special focus lied on the implementation of a spiral imaging protocol to resolve the beating heart of animals and humans in real time and free breathing.
In order to achieve real-time CMR with high spatiotemporal resolution, k-space undersampling was performed. For this reason, efficient sampling strategies were developed with the aim to facilitate compressed sensing (CS) during image reconstruction.
The applied CS approach successfully removed aliasing artifacts and yielded high-resolution cardiac image series. Image reconstruction was performed offline in all cases such that the images were not available immediately after acquisition at the scanner.
Spiral real-time CMR could be performed in free breathing, which led to an acquisition time of less than 1 minute for a whole short-axis stack.
At 3T, the results were compared to the gold standard of electrocardiogram-gated Cartesian CMR in breath hold, which revealed similar values for important cardiovascular functional and volumetric parameters.
This paves the way to an application of the developed framework in clinical routine of CMR.
In addition, the spiral real-time protocol was transferred to swallowing and speech imaging at 3T, and first images were presented.
The results were of high quality and confirm the straightforward utilization of the spiral sequence in other fields of MRI.
In general, the GSTF correction yielded high-quality images at both field strengths, 3T and 7T.
Off-resonance related blurring was mitigated by applying non-Cartesian readout gradients of short duration. At 7T, however, B1-inhomogeneity led to image artifacts in some cases.
All in all, this work demonstrated great advances in accelerating the MRI process by combining efficient, undersampled non-Cartesian k-space coverage with CS reconstruction.
Trajectory correction using the GSTF can be implemented at any scanner model and enables non-Cartesian imaging with high image quality.
Especially MRI of dynamic processes greatly benefits from the presented rapid imaging approaches.
The motivation for this work has been contributing a step to the advancement of technology. A next leap in technology would be the realization of a scalable quantum computer. One potential route is via topological quantum computing. A profound understanding of topological materials is thus essential. My work contributes by the investigation of the exemplary topological material HgTe. The focus lies on the understanding of the topological surface states (TSS) and new possibilities to manipulate them appropriately. Traditionally top gate electrodes are used to adjust the carrier density in such semi-conductor materials. We found that the electric field of the top gate can further alter the properties of the HgTe layer. The formation of additional massive Volkov-Pankratov states limits the accessibility of the TSS. The understanding of these states and their interplay with the TSS is necessary to appropriately design devices and to ensure their desired properties. Similarly, I observed the existence and stability of TSSs even without a bandgap in the bulk band structure in the inversion induced Dirac semi-metal phase of compressively strained HgTe. The finding of topological surface states in inversion-induced Dirac semi-metals provides a consistent and simple explanation for the observation reported for \(\text{Cd}_3\text{As}_2\).
These observations have only been possible due to the high quality of the MBE grown HgTe layers and the access of different phases of HgTe via strain engineering. As a starting point I performed Magneto-transport measurements on 67 nm thick tensilely strained HgTe layers grown on a CdTe substrate. We observed multiple transport channels in this three-dimensional topological insulator and successfully identified them. Not only do the expected topological surface states exist, but also additional massive surface states have been observed. These additional massive surface states are formed due to the electrical field applied at the top gate, which is routinely used to vary the carrier density in the HgTe layer. The additional massive surface states are called Volkov-Pankratov states after B. A. Volkov and O. A. Pankratov. They predicted the existence of similar massive surface states at the interface of materials with mutually inverted bands. We first found indications for such massive Volkov-Pankratov states in high-frequency compressibility measurements for very high electron densities in a fruitful collaboration with LPA in Paris. Magneto-transport measurements and \(k \cdot p\) calculations revealed that such Volkov-Pankratov states are also responsible for the observed whole transport. We also found indications for similar massive VPS in the electron regime, which coexist with the topological surface states. The topological surface states exist over the full investigated gate range including a regime of pure topological insulator transport. To increase the variability of the topological surface states we introduced a modulation doping layer in the buffer layer. This modulation doping layer also enabled us to separate and identify the top and bottom topological surface states.
We used the variability of the bulk band structure of HgTe with strain to engineer the band structure of choice using virtual substrates. The virtual substrates enable us to grow compressively strained HgTe layers that do not possess a bandgap, but instead linear crossing points. These layers are predicted to beDirac semi-metals. Indeed I observed also topological surface states and massive Volkov-Pankratov states in the compressively strained Dirac semi-metal phase. The observation of topological surfaces states also in the Dirac semi-metal phase has two consequences: First, it highlights that no bulk bandgap is necessary to observe topological surface states. Second, the observation of TSS also in the Dirac semi-metal phase emphasizes the importance of the underlying band inversion in this phase. I could not find any clear signatures of the predicted disjoint topological surface states, which are typically called Fermi-arcs. The presence of topological surface states and massive Volkov-Pankratov states offer a simple explanation for the observed quantum Hall effect and other two-dimensional transport phenomena in the class of inversion induced Dirac semi-metals, as \(\text{Cd}_3\text{As}_2\). This emphasizes the importance of the inherent bulk band inversion of different topological materials and provides a consistent and elegant explanation for the observed phenomena in these materials. Additionally, it offers a route to design further experiments, devices, and thus the foundation for the induction of superconductivity and thus topological quantum computing.
Another possible path towards quantum computing has been proposed based on the chiral anomaly. The chiral anomaly is an apparent transport anomaly that manifests itself as an additional magnetic field-driven current in three-dimensional topological semimetals with a linear crossing point in their bulk band structure. I observed the chiral anomaly in compressively strained HgTe samples and performed multiple control experiments to identify the observed reduction of the magnetoresistance with the chiral anomaly. First, the dependence of the so-called negative magnetoresistance on the angle and strength of the magnetic field has been shown to fit the expectation for the chiral anomaly. Second, extrinsic effects as scattering could be excluded as a source for the observed negative MR using samples with different mobilities and thus impurity concentrations. Third, the necessity of the linear crossing point has been shown by shifting the electrochemical potential away from the linear crossing points, which diminished the negative magnetoresistance. Fourth, I could not observe a negative magnetoresistance in the three-dimensional topological insulator phase of HgTe. These observations together prove the existence of the chiral anomaly and verify compressively strained HgTe as Dirac semi-metal. Surprisingly, the chiral anomaly is also present in unstrained HgTe samples, which constitute a semi-metal with a quadratic band touching point. This observation reveals the relevance of the Zeeman effect for the chiral anomaly due to the lifting of the spin-degeneracy in these samples. Additionally to the chiral anomaly, the Dirac semi-metal phase of compressively strained HgTe showed other interesting effects. For low magnetic fields, a strong weak-antilocalization has been observed. Such a strong weak-anti-localization correction in a three-dimensional layer is surprising and interesting. Additionally, non-trivial magnetic field strength and direction dependencies have been observed. These include a strong positive magnetoresistance for high magnetic fields, which could indicate a metal-insulator transition. On a more device-oriented note, the semi-metal phase of unstrained HgTe constitutes the lower limit of the by strain engineering adjustable minimal carrier density of the topological surface states and thus of very high mobility.
To sum up, topological surface states have been observed in the three-dimensional topological insulator phase and the Dirac semi-metal phase of HgTe. The existence and accessibility of topological surface states are thus independent of the existence of a bandgap in the bulk band structure. The topological surface states can be accompanied by massive Volkov-Pankratov states. These VPS are created by electric fields, which are routinely applied to adjust the carrier density in semiconductor devices. The theoretical predicted chiral anomaly has been observed in the Dirac semi-metal phase of HgTe. In contrast to theoretical predictions, no indications for the Fermi-arc called disjoint surface states have been observed, but instead the topological and massive Volkov-Pankratov surface states have been found. These states are thus expected for all inversion-induced topological materials.
In my thesis, I characterized aGPCRs Adgrl1 and Adgrl3, tight junction proteins and the blood-DRG-barrier in rats’ lumbar dorsal root ganglions after traumatic neuropathy. In contrast to the otherwise tightly sealed barriers shielding neural tissues, the dorsal root ganglion’s neuron rich region is highly permeable in its healthy state. Furthermore, the DRG is a source of ectopic signal generation during neuropathy; the exact origin of which is still unclear. I documented expression of Adgrl1 and Adgrl3 in NF200 + , CGRP + and IB4 + neurons. One week after CCI, I observed transient downregulation of Adgrl1 in non-peptidergic nociceptors (IB4+). In the context of previous data, dCirl deletion causing an allodynia-like state in Drosophila, our research hints to a possible role of Adgrl1 nociceptive signal processing and pain resolution in neuropathy. Furthermore, I demonstrated similar claudin-1, claudin-12, claudin-19, and ZO-1 expression of the dorsal root ganglion’s neuron rich and fibre rich region. Claudin-5 expression in vessels of the neuron rich region was lower compared to the fibre rich region. Claudin-5 expression was decreased one week after nerve injury in vessels of the neuron rich region while permeability for small and large injected molecules remained unchanged. Nevertheless, we detected more CD68+ cells in the neuron rich region one week after CCI. As clinically relevant conclusion, we verified the high permeability of the neuron rich regions barrier as well as a vessel specific claudin-5 downregulation after CCI. We observed increased macrophage invasion into the neuron rich region after CCI. Furthermore, we identified aGPCR as potential target for further research and possible treatments for neuropathy, which should be easily accessible due to the blood-DRG-barriers leaky nature. Its precise function in peripheral tissues, its mechanisms of activation, and its role in pain resolution should be evaluated further.
Cellular proteome profiling revealed that most biomolecules do not exist in isolation, but rather are incorporated into modular complexes. These assembled complexes are usually very large, consisting of 10 subunits on an average and include either proteins alone, or proteins and nucleic acids. Consequently, such macromolecular assemblies rather than individual biopolymers perform the vast majority of cellular activities. The faithful assembly of such molecular assemblies is often aided by trans-acting factors in vivo, to preclude aggregation of complex components and/or non-cognate interactions. A paradigm for an assisted assembly of a macromolecular machine is the formation of the common Sm/LSm core of spliceosomal and histone-mRNA processing U snRNPs. The key assembly factors united in the Protein Arginine Methyltransferase 5 (PRMT5) and the Survival Motor Neuron (SMN) complexes orchestrate the assembly of the Sm/LSm core on the U snRNAs. Assembly is initiated by the PRMT5-complex subunit pICln, which pre-arranges the Sm/LSm proteins into spatial positions occupied in the mature U snRNPs. The SMN complex subsequently binds these Sm/LSm units, displaces pICln and catalyses the Sm ring closure on the Sm-site of the U snRNA.
The SMN complex consists of the eponoymous SMN protein linked in a modular network of interactions with eight other proteins, termed Gemins 2-8 and Unrip. Despite functional and structural characterisation of individual protein components and/or sub-complexes of this assembly machinery, coherent understanding of the structural framework of the core SMN complex remained elusive. The current work, employing a combined approach of biochemical and structural studies, aimed to contribute to the understanding of how distinct modules within the SMN complex coalecse to form the macromolecular SMN complex.
A novel atomic resolution (1.5 Å) structure of the human Gemin8:7:6 sub-complex, illustrates how the peripheral Gemin7:6 module is tethered to the SMN complex via Gemin8’s C-terminus. In this model, Gemin7 engages with both Gemin6 and Gemin8 via the N- and C-termini of its Sm-fold like domain. This highly conserved interaction mode is reflected in the pronounced sequence conservation and identical biochemical behaviour of similar sub-complexes from divergent species, namely S. pombe and C. elegans.
Despite lacking significant sequence similarity to the Sm proteins, the dimeric Gemin7:6 complex share structural resemblance to the Sm heteromers. The hypothesis that the dimeric Gemin7:6 functions as a Sm-surrogate during Sm core assembly could not be confirmed in this work. The functional relevance of the structural mimicry of the dimeric Gemin7:6 sub-complex with the Sm heterodimers therefore still remains unclear.
Reduced levels of functional SMN protein is the cause of the devastating neurodegenerative disease, Spinal Muscular Atrophy (SMA). The C-terminal YG-zipper motif of SMN is a major hot-spot for most SMA patient mutations. In this work, adding to the existing inventory of the human and fission yeast YG-box models, a novel 2.2 Å crystal structure of the nematode SMN’s YG-box domain adopting the glycine zipper motif has been reported. Furthermore, it could be assessed that SMA patient mutations mapping to this YG-box domain greatly influences SMN’s self-association competency, a property reflected in both the human and nematode YG-box biochemical handles. The shared molecular architecture and biochemical behaviour of the nematode SMN YG-box domain with its human and fission yeast counterparts, reiterates the pronounced conservation of this oligomerisation motif across divergent organisms.
Apart from serving as a multimerization domain, SMN’s YG-box also acts as interaction platform for Gemin8. A systematic investigation of SMA causing missense mutations uncovered that Gemin8’s incorporation into the SMN complex is influenced by the presence of certain SMA patient mutations, albeit independent of SMN’s oligomerisation status. Consequently, loss of Gemin8 association in the presence of SMA patient mutations would also affect the incorporation of Gemin7:6 sub-complex. Gemin8, therefore sculpts the heteromeric SMN complex by bridging the Gemin7:6 and SMN:Gemin2 sub-units, a modular feature shared in both the human and nematode SMN complexes.
These findings provide an important foundation and a prospective structural framework for elucidating the core architecture of the SMN complex in the ongoing Cryo-EM studies.
The dissertation investigates the wide class of Epstein zeta-functions in terms of uniform distribution modulo one of the ordinates of their nontrivial zeros. Main results are a proof of a Landau type theorem for all Epstein zeta-functions as well as uniform distribution modulo one for the zero ordinates of all Epstein zeta-functions asscoiated with binary quadratic forms.
In the central nervous system, excitatory and inhibitory signal transduction processes are mediated by presynaptic release of neurotransmitters, which bind to postsynaptic receptors. Glycine receptors (GlyRs) and GABAA receptors (GABAARs) are ligand-gated ion channels that enable synaptic inhibition. One part of the present thesis elucidated the role of the GlyRα1 β8 β9 loop in receptor expression, localization, and function by means of amino acid substitutions at residue Q177. This residue is underlying a startle disease phenotype in the spontaneous mouse model shaky and affected homozygous animals are dying 4-6 weeks after birth. The residue is located in the β8 β9 loop and thus part of the signal transduction unit essential for proper ion channel function. Moreover, residue Q177 is involved in a hydrogen network important for ligand binding. We observed no difference in ion channel trafficking to the cellular membrane for GlyRα1Q177 variants. However, electrophysiological measurements demonstrated reduced glycine, taurine, and β alanine potency in comparison to the wildtype protein. Modeling revealed that some GlyRα1Q177 variants disrupt the hydrogen network around residue Q177. The largest alterations were observed for the Q177R variant, which displayed similar effects as the Q177K mutation present in shaky mice. Exchange with structurally related amino acids to the original glutamine preserved the hydrogen bond network. Our results underlined the importance of the GlyR β8 β9 loop for proper ion channel gating.
GlyRs as well as GABAARs can be modulated by numerous allosteric substances. Recently, we focused on monoterpenes from plant extracts and showed positive allosteric modulation of GABAARs. Here, we focused on the effect of 11 sesquiterpenes and sesquiterpenoids (SQTs) on GABAARs. SQTs are compounds naturally occurring in plants. We tested SQTs of the volatile fractions of hop and chamomile, including their secondary metabolites generated during digestion. Using the patch-clamp technique on transfected cells and neurons, we were able to observe significant GABAAR modulation by some of the compounds analyzed. Furthermore, a possible binding mechanism of SQTs to the neurosteroid binding site of the GABAAR was revealed by modeling and docking studies. We successfully demonstrated GABAAR modulation by SQTs and their secondary metabolites.
The second part of the thesis investigated three-dimensional (3D) in vitro cell culture models which are becoming more and more important in different part of natural sciences. The third dimension allows developing of complex models closer to the natural environment of cells, but also requires materials with mechanical and biological properties comparable to the native tissue of the encapsulated cells. This is especially challenging for 3D in vitro cultures of primary neurons and astrocytes as the brain is one of the softest tissues found in the body. Ultra-soft matrices that mimic the neuronal in vivo environment are difficult to handle. We have overcome these challenges using fiber scaffolds created by melt electrowriting to reinforce ultra-soft matrigel. Hence, the scaffolds enabled proper handling of the whole composites and thus structural and functional characterizations requiring movement of the composites to different experimental setups. Using these scaffold-matrigel composites, we successfully established methods necessary for the characterization of neuronal network formation. Before starting with neurons, a mouse fibroblast cell line was seeded in scaffold-matrigel composites and transfected with the GlyR. 3D cultured cells displayed high viability, could be immunocytochemically stained, and electrophysiologically analyzed.
In a follow-up study, primary mouse cortical neurons in fiber-reinforced matrigel were grown for up to 21 days in vitro. Neurons displayed high viability, and quantification of neurite lengths and synapse density revealed a fully formed neuronal network already after 7 days in 3D culture. Calcium imaging and patch clamp experiments demonstrated spontaneous network activity, functional voltage-gated sodium channels as well as action potential firing. By combining ultra-soft hydrogels with fiber scaffolds, we successfully created a cell culture model suitable for future work in the context of cell-cell interactions between primary cells of the brain and tumor cells, which will help to elucidate the molecular pathology of aggressive brain tumors and possibly other disease mechanisms.
Since the first CubeSat launch in 2003, the hardware and software complexity of the nanosatellites was continuosly increasing.
To keep up with the continuously increasing mission complexity and to retain the primary advantages of a CubeSat mission, a new approach for the overall space and ground software architecture and protocol configuration is elaborated in this work.
The aim of this thesis is to propose a uniform software and protocol architecture as a basis for software development, test, simulation and operation of multiple pico-/nanosatellites based on ultra-low power components.
In contrast to single-CubeSat missions, current and upcoming nanosatellite formation missions require faster and more straightforward development, pre-flight testing and calibration procedures as well as simultaneous operation of multiple satellites.
A dynamic and decentral Compass mission network was established in multiple active CubeSat missions, consisting of uniformly accessible nodes.
Compass middleware was elaborated to unify the communication and functional interfaces between all involved mission-related software and hardware components.
All systems can access each other via dynamic routes to perform service-based M2M communication.
With the proposed model-based communication approach, all states, abilities and functionalities of a system are accessed in a uniform way.
The Tiny scripting language was designed to allow dynamic code execution on ultra-low power components as a basis for constraint-based in-orbit scheduler and experiment execution.
The implemented Compass Operations front-end enables far-reaching monitoring and control capabilities of all ground and space systems.
Its integrated constraint-based operations task scheduler allows the recording of complex satellite operations, which are conducted automatically during the overpasses.
The outcome of this thesis became an enabling technology for UWE-3, UWE-4 and NetSat CubeSat missions.
One third of all market approved drugs target G protein coupled receptors (GPCRs), covering a highly diverse spectrum of indications reaching from acute anti-allergic treatment over bloodpressure regulation, Parkinson's disease, schizophrenia up to the treatment of severe pain. GPCRs are key signaling proteins that mostly function as monomers, but for several receptors constitutive dimer formation has been described and in some cases is essential for function. I have investigated this problem using the μ-opioid receptor (µOR) as a model system - based both on its pharmacological importance and on specific biochemical data suggesting that it may present a particularly intriguing case of mono- vs- dimerization. The µOR is the prime target for the treatment of severe pain. In its inactive conformation it crystallizes as homodimer when bound to the antagonist β- funaltrexamine (β-FNA), whereas the active, agonist-bound receptor crystallizes as a monomer. Using single-molecule microscopy combined with superresolution techniques on intact cells, I describe here a dynamic monomer-dimer equilibrium of µORs where dimer formation is driven by specific agonists. The agonist DAMGO, but not morphine, induces dimer formation in a process that correlates temporally and, in its agonist, and phosphorylation dependence with β-arrestin2 binding to the receptors. This dimerization is independent from but may precede µOR internalization. Furthermore, the results show that the μOR tends to stay, on the cell surface, within compartments defined by actin fibers and its mobility is modulated by receptor activation. These data suggest a new level of GPCR regulation that links receptor compartmentalization and dimer formation to specific agonists and their downstream signals.
Neurons are specialized cells dedicated to transmit the nerve impulses throughout the human body across specialized structures called synapses. At the synaptic terminals, a crosstalk between multiple macromolecules regulates the structure and function of the presynaptic nerve endings and the postsynaptic recipient sites.
Gephyrin is the central organizer at inhibitory postsynaptic specializations and plays a crucial role in the organization of these structures by anchoring GABAA receptors (GABAAR) and glycine receptors (GlyR) to the postsynaptic membrane. This 93 kDa protein features an N-terminal G domain and a C-terminal E domain and the latter interacts directly with the intracellular loop between transmembrane helices 3 and 4 of certain subunits of the GlyRs and GABAARs. Biochemical and structural analyses have already provided valuable insights into the gephyrin-GlyR interaction. Interestingly, biochemical studies on the gephyrin-GABAAR interaction demonstrated that the GABAARs also depend on the same binding site as the GlyRs for the interaction with the gephyrin, but the molecular basis for this receptor specific interaction of gephyrin was still unknown. Co-crystal structures of GephE-GABAAR α3- derived peptides with supporting biochemical data presented in this study deciphered the receptor-specific interactions of gephyrin in atomic detail.
In its moonlighting function, gephyrin also catalyzes the terminal step of the evolutionarily conserved molybdenum cofactor biosynthesis. Molybdenum, an essential transition element has to be complexed with a pterin-based cofactor resulting in the formation of the molybdenum cofactor (Moco). Moco is an essential component at the active site of all molybdenum-containing enzymes with the exception of nitrogenase. Mutations in enzymes involved in this pathway lead to a rare yet severe disease called Moco deficiency, which manifest itself in severe neurodevelopmental abnormalities and early childhood death. Moco biosynthesis follows a complex multistep pathway, where in the penultimate step, the N-terminal G domain of gephyrin activates the molybdopterin to form an adenylated molybdopterin intermediate. In the terminal step, this intermediate is then transferred to the C-terminal E domain of gephyrin, which catalyzes the metal insertion and deadenylation reaction to form active Moco. Previous biochemical and structural studies provided valuable insights into the penultimate step of the Moco biosynthesis but the terminal step remained elusive. Through the course of my dissertation, I crystallized the C-terminal E domain in the apo-form as well as in complex with ADP and AMP. These structures shed lightonto the deadenylation reaction and the formation of a ternary E-domain-ADP-Mo/W complex and thus provide structural insight into the metal insertion mechanism. Moreover, the structures also provided molecular insights into a mutation leading to Moco deficiency. Finally, ternary
complexes of GephE, ADP and receptor-derived peptides provided first clues regarding the integration of gephyrin’s dual functionality.
In summary, during the course of the dissertation I was able to derive high resolution structural insights into the interactions between gephyrin and GABAARs, which explain the receptor-specific interaction of gephyrin and, furthermore, these studies can be extended in the future to understand GABAAR subunit-specific interactions of gephyrin. Finally, the understanding of Moco biosynthesis shed light on the molecular basis of the fatal Moco deficiency.