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It is generally agreed upon the fact that the Standard Model of particle physics can only be viewed as an effective theory that needs to be extended as it leaves some essential questions unanswered. The exact realization of the necessary extension is subject to discussion. Supersymmetry is among the most promising approaches to physics beyond the Standard Model as it can simultaneously solve the hierarchy problem and provide an explanation for the dark matter abundance in the universe. Despite further virtues like gauge coupling unification and radiative electroweak symmetry breaking, minimal supersymmetric models cannot be the ultimate answer to the open questions of the Standard Model as they still do not incorporate neutrino masses and are besides heavily constrained by LHC data. This does, however, not derogate the beauty of the concept of supersymmetry. It is therefore time to explore non-minimal supersymmetric models which are able to close these gaps, review their consistency, test them against experimental data and provide prospects for future experiments.
The goal of this thesis is to contribute to this process by exploring an extraordinarily well motivated class of models which bases upon a left-right symmetric gauge group. While relaxing the tension with LHC data, those models automatically include the ingredients for neutrino masses.
We start with a left-right supersymmetric model at the TeV scale in which scalar \(SU(2)_R\) triplets are responsible for the breaking of left-right symmetry as well as for the generation of neutrino masses. Although a tachyonic doubly-charged scalar is present at tree-level in this kind of models, we show by performing the first complete one-loop evaluation that it gains a real mass at the loop level. The constraints on the predicted additional charged gauge bosons are then evaluated using LHC data, and we find that we can explain small excesses in the data of which the current LHC run will reveal if they are actual new physics signals or just background fluctuations. In a careful evaluation of the loop-corrected scalar potential we then identify parameter regions in which the vacuum with the phenomenologically correct symmetry-breaking properties is stable. Conveniently, those regions favour low left-right symmetry breaking scales which are accessible at the LHC.
In a slightly modified version of this model where a \(U(1)_R × U(1)_{B−L}\) gauge symmetry survives down to the TeV scale, we implement a minimal gauge-mediated supersymmetry breaking mechanism for which we calculate the boundary conditions in the presence of gauge kinetic mixing. We show how the presence of the extended gauge group raises the tree-level Higgs mass considerably so that the need for heavy supersymmetric spectra is relaxed. Taking the constraints from the Higgs sector into account, we then explore the LHC phenomenology of this model and point out where the expected collider signatures can be distinguished from standard scenarios.
In particular if neutrino masses are explained by low-scale seesaw mechanisms as is done throughout this work, there are potentially spectacular signals at low-energy experiments which search for charged lepton flavour violation. The last part of this thesis is dedicated to the detailed exploration of processes like μ → e γ, μ → 3 e or μ−e conversion in nuclei in a supersymmetric framework with an inverse seesaw mechanism. In particular, we disprove claims about a non-decoupling effect in Z-mediated three-body decays and study the prospects for discovering and distinguishing signals at near-future experiments. In this context we identify the possibility to deduce from ratios like BR(\(τ → 3 μ\))/BR(\(τ → μ e^+ e^−\)) whether the contributions from ν − W loops dominate over supersymmetric contributions or vice versa.
Although many researchers refer to organizational culture as the key to explain employees' organizational corruption (= corruption on behalf of the organization), literature lacks systematic empirical evidence. Through a mixed-method approach this research tries to shed some first lights on this issue with the questions: what characteristics describe an organizational culture that promotes employees' corruption? Does a certain type of organizational culture shape a positive attitude towards organizational corruption? Does organizational culture differ in its impact on different types of corruption? Does organizational culture interact with employees’ sex to promote employees’ corruption? And, is there a main effect of sex on corruption?
A qualitative study investigates the characteristics of a corrupt organizational culture in both general and in particular for managers and employees (Study 1). 14 experts of different occupations were asked about underlying assumptions, values, and norms of a corrupt organizational culture coding the frequency and relationship of their answers. The results showed specific underlying assumptions, values, and norms that were shared by the interviewees and provide first insights into their interrelatedness.
In addition, the quantitative field survey (Study 2) analyzed if a corrupt organizational culture shapes a positive attitude towards organizational corruption and if both tangible rewards and lax control mechanism mediate this impact. 131 participants answered questionnaires about their perceived competition in their industry, tangible rewards, lax control mechanism, and their attitude towards both gifting and bribery. Results showed that lax control mechanism (and for gifting also tangible rewards) mediated the positive impact of a corrupt organizational culture on organizational corruption. In addition, men and women did not differ in their attitude towards organizational corruption in a corrupt organizational culture.
Finally a web-based experiment investigates if organizational culture shapes employees' corruption (Study 3). In addition this approach also covers if the impact of organizational culture on corruption depends on the type of corruption (organizational corruption vs. counterproductive), and if employees’ sex influence corruption and if there is an interaction of organizational culture and sex on employees’ corruption. 563 participants had to decide whether they engage in corruption. Although a corrupt organizational culture raises both types of corruption, there was neither a notable main effect of sex nor a high impact interaction effect of both on both types of corruption. Thus, aspects of a corrupt organizational culture seem to influence employees' corruption.
The main objective of this thesis was the design and synthesis of perylene bisimide dyes with sufficient water-solubility for the construction of self-assembled architectures in aqueous solutions. Beside these tasks another goal of this project was the control over the self-assembly process in terms of aggregate size and helicity, respectively. Within this thesis an appropriate synthesis for spermine-functionalized perylene bisimide dyes was developed and conducted successfully. The characterization of these building blocks and their course of self-assembly were investigated by NMR, UV/Vis and fluorescence spectroscopy as well as by atomic force and transmission electron microscopy. For the better understanding of the experimental results theoretical calculations were performed.
Environmental interlinked problems such as human-induced land cover change, water scarcity, loss in soil fertility, and anthropogenic climate change are expected to affect the viability of agriculture and increase food insecurity in many developing countries. Climate change is certainly the most serious of these challenges for the twenty-first century. The poorest regions of the world – tropical West Africa included – are the most vulnerable due to their high dependence on climate and weather sensitive activities such as agriculture, and the widespread poverty that limits the institutional and economic capacities to adapt to the new stresses brought about by climate change. Climate change is already acting negatively on the poor smallholders of tropical West Africa whose livelihoods dependent mainly on rain-fed agriculture that remains the cornerstone of the economy in the region. Adaptation of the agricultural systems to climate change effects is, therefore, crucial to secure the livelihoods of these rural communities. Since information is a key for decision-making, it is important to provide well-founded information on the magnitude of the impacts in order to design appropriate and sustainable adaptation strategies.
Considering the case of agricultural production in the Republic of Benin, this study aims at using large-scale climatic predictors to assess the potential impacts of past and future climate change on agricultural productivity at a country scale in West Africa. Climate signals from large-scale circulation were used because state-of-the art regional climate models (RCM) still do not perfectly resolve synoptic and mesoscale convective processes. It was hypothesised that in rain-fed systems with low investments in agricultural inputs, yield variations are widely governed by climatic factors. Starting with pineapple, a perennial fruit crops, the study further considered some annual crops such as cotton in the group of fibre crops, maize, sorghum and rice in the group of cereals, cowpeas and groundnuts belonging to the legume crops, and cassava and yams which are root and tuber crops. Thus the selected crops represented the three known groups of photosynthetic pathways (i.e. CAM, C3, and C4 plants).
In the study, use was made of the historical agricultural yield statistics for the Republic of Benin, observed precipitation and mean near-surface air temperature data from the Climatic Research Unit (CRU TS 3.1) and the corresponding variables simulated by the regional climate model (RCM) REMO. REMO RCM was driven at its boundaries by the global climate model ECHAM 5. Simulations with different greenhouse gas concentrations (SRES-A1B and B1 emission scenarios) and transient land cover change scenarios for present-day and future conditions were considered. The CRU data were submitted to empirical orthogonal functions analysis over the north hemispheric part of Africa to obtain large-scale observed climate predictors and associated consistent variability modes. REMO RCM data for the same region were projected on the derived climate patterns to get simulated climate predictors. By means of cross-validated Model Output Statistics (MOS) approach combined with Bayesian model averaging (BMA) techniques, the observed climate predictors and the crop predictand were further on used to derive robust statistical relationships. The robust statistical crop models perform well with high goodness-of-fit coefficients (e.g. for all combined crop models: 0.49 ≤ R2 ≤ 0.99; 0.28 ≤ Brier-Skill-Score ≤ 0.90).
Provided that REMO RCM captures the main features of the real African climate system and thus is able to reproduce its inter-annual variability, the time-independent statistical transfer functions were then used to translate future climate change signal from the simulated climate predictors into attainable crop yields/crop yield changes. The results confirm that precipitation and air temperature governed agricultural production in Benin in general, and particularly, pineapple yield variations are mainly influenced by temperature. Furthermore, the projected yield changes under future anthropogenic climate change during the first-half of the 21st century amount up to -12.5% for both maize and groundnuts, and -11%, -29%, -33% for pineapple, cassava, and cowpeas respectively. Meanwhile yield gain of up to +10% for sorghum and yams, +24% for cotton, and +39% for rice are expected. Over the time period 2001 – 2050, on average the future yield changes range between -3% and -13% under REMO SRES–B1 (GHG)+LCC, -2% and -11% under REMO SRES–A1B (GHG only),and -3% and -14% under REMO SRES–A1B (GHG)+LCC for pineapple, maize, sorghum, groundnuts, cowpeas and cassava. In the meantime for yams, cotton and rice, the average yield gains lie in interval of about +2% to +7% under REMO SRES–B1 (GHG)+LCC, +0.1% and +12% under REMO SRES–A1B (GHG only), and +3% and +10% under REMO SRES–A1B (GHG)+LCC. For sorghum, although the long-term average future yield depicts a reduction there are tendencies towards increasing yields in the future. The results also reveal that the increases in mean air temperature more than the changes in precipitation patterns are responsible for the projected yield changes. As well the results suggest that the reductions in pineapple yields cannot be attributed to the land cover/land use changes across sub-Saharan Africa. The production of groundnuts and in particular yams and cotton will profit from the on-going land use/land cover changes while the other crops will face detrimental effects.
Henceforth, policymakers should take effective measures to limit the on-going land degradation processes and all other anthropogenic actions responsible for temperature increase. Biotechnological improvement of the cultivated crop varieties towards development of set of seed varieties adapted to hotter and dry conditions should be included in the breeding pipeline programs. Amongst other solutions, application of appropriate climate-smart agricultural practices and conservation agriculture are also required to offset the negative impacts of climate change in agriculture.
Kinetic assessment by in vitro approaches - A contribution to reduce animals in toxicity testing
(2015)
The adoption of directives and regulations by the EU requires the development of alternative testing strategies as opposed to animal testing for risk assessment of xenobiotics. Additionally, high attrition rates of drugs late in the discovery phase demand improvement of current test batteries applied in the preclinical phase within the pharmaceutical area. These issues were taken up by the EU founded 7th Framework Program “Predict-IV”; with the overall goal to improve the predictability of safety of an investigational product, after repeated exposure, by integration of “omics” technologies applied on well established in vitro approaches. Three major target organs for drug-induced toxicity were in focus: liver, kidney and central nervous system. To relate obtained dynamic data with the in vivo situation, kinetics of the test compounds have to be evaluated and extrapolated by physiologically based pharmacokinetic modeling.
This thesis assessed in vitro kinetics of the selected test compounds (cyclosporine A, adefovir dipivoxil and cisplatinum) regarding their reliability and relevance to respective in vivo pharmacokinetics. Cells were exposed daily or every other day to the test compounds at two concentration levels (toxic and non-toxic) for up to 14 days. Concentrations of the test compounds or their major biotransformation products were determined by LC-MS/MS or ICP-MS in vehicle, media, cells and plastic adsorption samples generated at five different time-points on the first and the last treatment day.
Cyclosporine A bioaccumulation was evident in primary rat hepatocytes (PRH) at the high concentration, while efficient biotransformation mediated by CYP3A4 and CYP3A5 was determined in primary human hepatocytes (PHH) and HepaRG cells. The lower biotransformation in PRH is in accordance with observation made in vivo with the rat being a poor model for CYP3A biotransformation. Further, inter-assay variability was noticed in PHH caused by biological variability in CYP3A4 and CYP3A5 activity in human donors. The inter-assay variability observed for PRH and HepaRG cells was a result of differences between vehicles regarding their cyclosporine A content. Cyclosporine A biotransformation was more prominent in HepaRG cells due to stable and high CYP3A4 and CYP3A5 activity. In addition, in vitro clearances were calculated and scaled to in vivo. All scaled in vitro clearances were overestimated (PRH: 10-fold, PHH: 2-fold, HepaRG cells: 2-fold). These results should be proven by physiologically-based pharmacokinetic modeling and additional experiments, in order to verify that these overestimations are constant for each system and subsequently can be diminished by implementation of further scaling factors.
Brain cell cultures, primary neuronal culture of mouse cortex cells and primary aggregating rat brain cells, revealed fast achieved steady state levels of cyclosporine A. This indicates a chemical distribution of cyclosporine A between the aqueous and organic phases and only minor involvement of biological processes such as active transport and biotransformation. Hence, cyclosporine A uptake into cells is presumably transport mediated, supported by findings of transporter experiments performed on a parallel artificial membrane and Caco-2 cells. Plastic adsorption of cyclosporine A was significant, but different for each model, and should be considered by physiologically based pharmacokinetic modeling.
Kinetics of adefovir dipivoxil highlights the limits of in vitro approaches. Active transporters are required for adefovir uptake, but were not functional in RPTECT/TERT1. Therefore, adefovir uptake was limited to passive diffusion of adefovir dipivoxil, which itself degrades time-dependently under culture conditions.
Cisplatinum kinetics, studied in RPTEC/TERT1 cells, indicated intracellular enrichment of platinum, while significant bioaccumulation was not noted. This could be due to cisplatinum not reaching steady state levels within 14 days repeated exposure. As shown in vivo, active transport occurred from the basolateral to apical side, but with lower velocity. Hence, obtained data need to be modeled to estimate cellular processes, which can be scaled and compared to in vivo.
Repeated daily exposure to two different drug concentrations makes it possible to account for bioaccumulation at toxic concentrations or biotransformation/extrusion at non-toxic concentrations. Potential errors leading to misinterpretation of data were reduced by analyses of the vehicles as the applied drug concentrations do not necessarily correspond to the nominal concentrations. Finally, analyses of separate compartments (medium, cells, plastic) give insights into a compound’s distribution, reduce misprediction of cellular processes, e.g. biotransformation, and help to interpret kinetic data. On the other hand, the limits of in vitro approaches have also been pointed out. For correct extrapolation to in vivo, it is essential that the studied in vitro system exhibits the functionality of proteins, which play a key role in the specific drug induced toxicity. Considering the benefits and limitations, it is worth to validate this long-term treatment experimental set-up and expand it on co-culture systems and on organs-on-chips with regard to alternative toxicity testing strategies for repeated dose toxicity studies.
The subject of this thesis is the rigorous passage from discrete systems to continuum models via variational methods.
The first part of this work studies a discrete model describing a one-dimensional chain of atoms with finite range interactions of Lennard-Jones type. We derive an expansion of the ground state energy using \(\Gamma\)-convergence. In particular, we show that a variant of the Cauchy-Born rule holds true for the model under consideration. We exploit this observation to derive boundary layer energies due to asymmetries of the lattice at the boundary or at cracks of the specimen. Hereby we extend several results obtained previously for models involving only nearest and next-to-nearest neighbour interactions by Braides and Cicalese and Scardia, Schlömerkemper and Zanini.
The second part of this thesis is devoted to the analysis of a quasi-continuum (QC) method. To this end, we consider the discrete model studied in the first part of this thesis as the fully atomistic model problem and construct an approximation based on a QC method. We show that in an elastic setting the expansion by \(\Gamma\)-convergence of the fully atomistic energy and its QC approximation coincide. In the case of fracture, we show that this is not true in general. In the case of only nearest and next-to-nearest neighbour interactions, we give sufficient conditions on the QC approximation such that, also in case of fracture, the minimal energies of the fully atomistic energy and its approximation coincide in the limit.
Genome wide association studies (GWAS) have identified Clec16a as disease suscepti-bility gene for numerous auto-immune disorders in particular type 1 diabetes. In spite of this strong genetic link, the role of Clec16a for immune regulation continues to be largely unknown. To study the function of Clec16a in an environment susceptible to autoimmune diseases a Clec16a deficient non obese diabetic (NOD) mouse strain was generated by means of lentiviral RNA interference. Clec16a knock down (KD) mice prove to be strongly protected against developing type 1 diabetes, an effect that is mediated by hyporeactive T effector cells. T cell hyporeactivity seems to result from an impairment of proximal TCR signalling and its cause is likely to be external to T cells. Given evidence on the involvement of the Clec16a Drosophila ortholog ema in endo- and autophagosomal processes, alterations in peripheral and/or central antigen presenting cells appeared to be potential reasons for the observed T cell hyporeactivity. While we are not able to identify any changes in quantity and quality of peripheral antigen presenting cells due to Clec16a silencing activation status of thymic epithelial cells in Clec16a KD mice deviates from NOD WT. The findings presented here suggest that thymic T cell development is affected by Clec16a variation. Such a relationship could explain the genetic association between Clec16a variations in humans and susceptibility to immune-mediated diseases, yet further investigations are needed to confirm this notion.
Women are a key to development, and gender is crucial to development policies. However, Western development organisations often promote gender equality as something valued in the West, or even as a new idea altogether, rather than taking the time to research how it was rooted in African societies. The same holds true for many Africans who frequently argue that gender equality is a Western idea. This paper intents to show that gender equality or complementarity is not an altogether new phenomenon to African societies, but that it existed in pre-colonial Africa. Raising awareness on this within African societies can help to put in place strategies for gender equality and facilitate change from within.
Exploring the transport properties of the three-dimensional topological insulator material HgTe
(2015)
In the present thesis the transport properties of strained bulk HgTe devices are investigated. Strained HgTe forms a 3D TI and is of special interest for studying topological surface states, since it can be grown by MBE in high crystal quality. The low defect density leads to considerable mobility values, well above the mobilities of other TI materials. However, strained HgTe has a small band gap of ca. 20 meV. With respect to possible applications the question is important, under which conditions the surface transport occurs. To answer this question, the HgTe devices are investigated at dilution refrigerator temperatures (T<100 mK) in high magnetic fields of different orientation. The influence of top and back gate electrodes as well as surface protecting layers is discussed.
On the basis of an analysis of the quantum Hall behaviour it is shown that transport is dominated by the topological surface states in a surprisingly large parameter range. A dependence on the applied top gate voltage is presented for the topological surface states. It enables the first demonstration of an odd integer QHE sequence from the surfaces perpendicular to the magnetic field. Furthermore, the p-type QHE from the surface states is observed for the first time in any 3D TI. This is achieved in samples of high surface quality. It is concluded from the gate response that the screening behaviour in 3D TI devices is non-trivial. The transport data are qualitatively analysed by means of intuitive theoretical models.
The pathogenic role of endogenous antibodies in a mouse model for Charcot-Marie-Tooth 1B neuropathy
(2015)
Charcot-Marie-Tooth (CMT) type 1 neuropathies are a genetically heterogeneous group of non-treatable inherited disorders affecting the peripheral nervous system that lead to sensory and motor dysfunction. Secondary low grade inflammation, implicating the innate and adaptive immune system, could previously be identified as a substantial disease modifier in two mouse models for CMT1, CMT1B and 1X, respectively. However, the exact mechanism how the adaptive immune system contributes to disease pathogenesis is not completely understood. Based on observations that the accumulation of endogenous antibodies to myelin components is important for rapid myelin clearance after nerve injury during Wallerian degeneration, a possibly similar mechanism was considered for endogenous antibodies as disease amplifier in mice heterozygously deficient for P0 (P0het), mimicking some typical features of CMT1B.
In this study an increased antibody deposition was detected in the affected peripheral nerves of P0het myelin mutant mice. By crossbreeding P0het mutants with mice specifically lacking B-lymphocytes, and therefore antibodies (JHD-/-), a decline of endoneurial macrophages together with a substantially ameliorated demyelination could be demonstrated in 6-month-old mutant mice. Moreover, reconstitution with murine IgGs reverted the neuropathic phenotype, substantiating that endogenous antibodies are potentially pathogenic at this early stage of disease. Unexpectedly, in 12-months-old P0het mutants, JHD deficiency resulted in disease aggravation accompanied by an increased inflammatory reaction and M2-polarized macrophage response.
These observations suggest that in a mouse model for CMT1B, the lack of endogenous antibodies has a dichotomous effect: ameliorating early macrophage-mediated demyelination, as opposed to increasing inflammatory reactions leading to disease aggravation at older ages.
The present work comprises four studies dealing with the investigation of the auditory event-related potentials (ERP) Mismatch Negativity (MMN), P300, and N400 under different attentional instructions, and with their application in patients with disorders of consciousness (DOC) to assess residual cognitive functioning. In guided interviews (study 1), practitioners working with DOC patients stated their general interest in and an objective need for the complementation of current diagnostic procedures by reliable and valid ERP-based methods. Subsequently, in study 2, simple oddball and semantic paradigms were applied to 19 behaviorally non-responsive DOC patients revealing the presence of at least one ERP in eight patients investigated. In the third and fourth study, specific attentional effects on ERPs were investigated in healthy participants to define optimal instructions and stimulus parameters. In study 3, MMN and N400 amplitudes were assessed in 18 participants, and in study 4, MMN and P300 amplitudes were assessed in 32 participants. Both studies included an ignore task (attention on simultaneous visual stimuli), a passive task, and a focused task and revealed distinct attentional effects on P300 and N400 with largest amplitudes in the focused task, smaller ones in the passive task and no ERP in the ignore task. An MMN was elicited in all tasks, but still, amplitudes differed as a function of task. In addition, study 4 included oddball paradigms comprising several deviants in different dimensions. Higher amplitudes were found in this multifeature paradigm compared to traditional oddball paradigms and larger amplitudes were elicited by deviants highly different from standards. It is concluded that ERPs represent a promising tool to complement clinical assessment of DOC patients. Application of ERP paradigms should include focused instructions, especially when using semantic material. Furthermore, multifeature paradigms have been proven especially useful eliciting large amplitudes and allowing for the investigation of several dimensions of deviants at the same time.
The International Symposium on Phytochemicals in Medicine and Food (ISPMF2015), organized by the Phytochemical Society of Europe (PSE) and the Phytochemical Society of Asia (PSA), was held June 26-29, 2015, in Shanghai of China. This was the first time that a PSE meeting has been held in Asia and a PSE-PSA joint symposium provided an opportunity for communication between scientists from Europe and Asia and other continents. ISPMF2015 has been jointly sponsored by Fujian Agriculture and Forestry University, Guizhou Medical University, Shanghai Normal University, Yancheng Institute of Technology, Beijing Normal University, and Fudan University. More than 270 scientists from 48 countries attended this meeting and presented their research and opinions on phytochemistry, phytomedicine and phytoneering. The international organizing committee and scientific advisory board of ISPMF 2015 comprised of outstanding scientists from around the globe. Dr. Jianbo Xiao was the chairman of the International Organizing Committee of ISPMF2015 and moderated the open address on June 26.
The organizing committee of ISPMF2015 assembled an exciting and diverse program, featuring 16 sessions including 12 plenary lectures, 20 invited talks, 55 short oral presentations, and more than 130 posters, which were dedicated to creating a podium for exchanging the latest research results in the phytochemicals for food and human health.
The results of two analyses searching for supersymmetry (SUSY) in data of the ATLAS experiment are presented in this thesis. The data were recorded in proton-proton collisions at the Large Hadron Collider in 2012 at a centre of mass energy of \(\sqrt{s}\)=8 TeV and correspond to an integrated luminosity of 20.3 fb\(^{−1}\). The first search is performed in signatures containing an opposite-sign electron or muon pair, which is compatible with originating from a Z boson decay, in addition to jets and large missing transverse momentum. The analysis targets the production of squarks and gluinos in R-parity conserving (RPC) models with SUSY breaking via General Gauge Mediation (GGM). The main Standard Model (SM) backgrounds are \(t\overline t\), WW, W+t and Z to \(\tau \tau\) processes which are entirely estimated from data using different-flavour events. Besides that, the SM production of Z bosons in association with jets and large fake missing momentum from mismeasurements plays a role and is predicted with the data-driven jet smearing method. Backgrounds from events with fake leptons are estimated with the data-driven matrix method. WZ/ZZ production as well as smaller background contributions are determined from Monte-Carlo simulations. The search observes an excess of data over the SM prediction with a local significance of 3.0 \(\sigma\) in the electron channel, 1.7 \(\sigma\) in the muon channel and 3.0 \(\sigma\) when the two channels are added together. The results are used to constrain the parameters of the GGM model. The second analysis uses the already published results of an ATLAS search for SUSY in events with one isolated electron or muon, jets and missing transverse momentum to reinterpret them in the context of squark and gluino production in SUSY models with R-parity violating (RPV) \(LQ\overline D\)-operators. In contrast to RPC models, the lightest SUSY particle (LSP) is not stable but decays into SM particles. "Standard" analyses often do not consider SUSY models with RPV although they are in principle sensitive to them. The exclusion limits on the squark and gluino mass obtained from the reinterpretation extend up to 1200 GeV. These are the first results by any ATLAS SUSY search which systematically cover a wide range of RPV couplings in the case of prompt LSP decays. However, the analysis is not sensitive to the full parameter space of the \(LQ\overline D\)-model and reveals gaps in the ATLAS SUSY program which have to be closed by dedicated search strategies in the future.
The investigation of interacting multi-agent models is a new field of mathematical research with application to the study of behavior in groups of animals or community of people. One interesting feature of multi-agent systems is collective behavior. From the mathematical point of view, one of the challenging issues considering with these dynamical models is development of control mechanisms that are able to influence the time evolution of these systems.
In this thesis, we focus on the study of controllability, stabilization and optimal control problems for multi-agent systems considering three models as follows: The first one is the Hegselmann Krause opinion formation (HK) model. The HK dynamics describes how individuals' opinions are changed by the interaction with others taking place in a bounded domain of confidence. The study of this model focuses on determining feedback controls in order to drive the agents' opinions to reach a desired agreement. The second model is the Heider social balance (HB) model. The HB dynamics explains the evolution of relationships in a social network. One purpose of studying this system is the construction of control function in oder to steer the relationship to reach a friendship state. The third model that we discuss is a flocking model describing collective motion observed in biological systems. The flocking model under consideration includes self-propelling, friction, attraction, repulsion, and alignment features. We investigate a control for steering the flocking system to track a desired trajectory. Common to all these systems is our strategy to add a leader agent that interacts with all other members of the system and includes the control mechanism.
Our control through leadership approach is developed using classical theoretical control methods and a model predictive control (MPC) scheme. To apply the former method, for each model the stability of the corresponding linearized system near consensus is investigated. Further, local controllability is examined. However, only in the
Hegselmann-Krause opinion formation model, the feedback control is determined in order to steer agents' opinions to globally converge to a desired agreement. The MPC approach is an optimal control strategy based on numerical optimization. To apply the MPC scheme, optimal control problems for each model are formulated where the objective functions are different depending on the desired objective of the problem. The first-oder necessary optimality conditions for each problem are presented. Moreover for the numerical treatment, a sequence of open-loop discrete optimality systems is solved by accurate Runge-Kutta schemes, and in the optimization procedure, a nonlinear conjugate gradient solver is implemented. Finally, numerical experiments are performed to investigate the properties of the multi-agent models and demonstrate the ability of the proposed control strategies to drive multi-agent systems to attain a desired consensus and to track a given trajectory.
The mold Aspergillus fumigatus causes life-threatening infections in immunocompromised patients. Over the past decade new findings in research have improved our understanding of A. fumigatus-host interactions. One of them was the detection of localized areas of tissue hypoxia in the lungs of mice infected with A. fumigatus. The transcription factor hypoxia-inducible factor 1α (HIF 1α) is known as the central regulator of cellular responses to hypoxia. Under normoxia, this constitutively expressed protein is degraded by oxygen-dependent mechanisms in most mammalian cell types. Interaction with pathogens can induce HIF 1α stabilization under normoxic conditions in innate immune cells. Bacterial infection models revealed that hypoxic microenvironments and signaling via HIF 1α modulate functions of host immune cells. Moreover, it was recently described that in murine phagocytes, HIF 1α expression is essential to overcome an A. fumigatus infection. However, the influence of hypoxia and the role of HIF 1α signaling for anti-A. fumigatus immunity is still poorly understood, especially regarding dendritic cells (DCs), which are important regulators of anti-fungal immunity. In this study, the functional relevance of hypoxia and HIF 1α signaling in the response of human DCs against A. fumigatus has been investigated.
Hypoxia attenuated the pro-inflammatory response of DCs against A. fumigatus during the initial infection as shown by genome-wide microarray expression analyses and cytokine quantification. The up-regulation of maturation-associated molecules on DCs stimulated with A. fumigatus under hypoxia was reduced; however, these DCs possessed an enhanced capacity to stimulate T cells. This study thereby revealed divergent influence of hypoxia on anti-A. fumigatus DC functions that included both, inhibiting and enhancing effects.
HIF-1α was stabilized in DCs following stimulation with A. fumigatus under normoxic and hypoxic conditions. This stabilization was partially dependent on Dectin-1, the major receptor for A. fumigatus on human DCs. Using siRNA-based HIF 1α silencing combined with gene expression microarrays, a modulatory effect of HIF-1α on the anti-fungal immune response of human DCs was identified. Specifically, the transcriptomes of HIF-1α silenced DCs indicated that HIF-1α enhanced DC metabolism and cytokine release in response to A. fumigatus under normoxic and hypoxic conditions. This was confirmed by further down-stream analyses that included quantification of glycolytic activity and cytokine profiling of DCs. By that, this study demonstrated functional relevance of HIF 1α expression in DCs responding to A. fumigatus. The data give novel insight into the cellular functions of HIF 1α in human DCs that include regulation of the anti-fungal immune response under normoxia and hypoxia. The comprehensive transcriptome datasets in combination with the down-stream protein analyses from this study will promote further investigations to further characterize the complex interplay between hypoxia, activation of Dectin-1 and HIF-1α signaling in host responses against A. fumigatus.
Social interactions as introduced by Web 2.0 applications during the last decade have changed the way the Internet is used. Today, it is part of our daily lives to maintain contacts through social networks, to comment on the latest developments in microblogging services or to save and share information snippets such as photos or bookmarks online.
Social bookmarking systems are part of this development. Users can share links to interesting web pages by publishing bookmarks and providing descriptive keywords for them. The structure which evolves from the collection of annotated bookmarks is called a folksonomy. The sharing of interesting and relevant posts enables new ways of retrieving information from the Web. Users
can search or browse the folksonomy looking at resources related to specific tags or users. Ranking methods known from search engines have been adjusted to facilitate retrieval in social bookmarking systems. Hence, social bookmarking systems have become an alternative or addendum to search engines.
In order to better understand the commonalities and differences of social bookmarking systems and search engines, this thesis compares several aspects of the two systems' structure, usage behaviour and content. This includes the use of tags and query terms, the composition of the document collections and the rankings of bookmarks and search engine URLs. Searchers (recorded via session ids), their search terms and the clicked on URLs can be extracted from a search
engine query logfile. They form similar links as can be found in folksonomies where a user annotates a resource with tags. We use this analogy to build a tripartite hypergraph from query logfiles (a logsonomy), and compare structural and semantic properties of log- and folksonomies. Overall, we have found similar behavioural, structural and semantic characteristics in both systems. Driven by this insight, we investigate, if folksonomy data can be of use in web
information retrieval in a similar way to query log data: we construct training data from query logs and a folksonomy to build models for a learning-to-rank algorithm. First experiments show a positive correlation of ranking results generated from the ranking models of both systems. The research is based on various data collections from the social bookmarking systems BibSonomy and Delicious, Microsoft's search engine MSN (now Bing) and Google data.
To maintain social bookmarking systems as a good source for information retrieval, providers need to fight spam. This thesis introduces and analyses different features derived from the specific characteristics of social bookmarking systems to be used in spam detection classification algorithms. Best results can be derived from a combination of profile, activity, semantic and location-based features. Based on the experiments, a spam detection framework which identifies and eliminates spam activities for the social bookmarking system BibSonomy has been developed.
The storing and publication of user-related bookmarks and profile information raises questions about user data privacy. What kinds of personal information is collected and how do systems handle user-related items? In order to answer these questions, the thesis looks into the handling of data privacy in the social bookmarking system BibSonomy. Legal guidelines about how to deal with the private data collected and processed in social bookmarking systems are also presented. Experiments will show that the consideration of user data privacy in the process
of feature design can be a first step towards strengthening data privacy.
Since its discovery as a small signaling molecule in the human body, researchers have tried to utilize the beneficial cytoprotective properties of carbon monoxide in therapeutic applications. Initial work focused on the controlled direct application of CO gas. However, to circumvent the disadvantages of this method such as requirement for special equipment, hospitalization of the patient and the risk of overdosing, metal-carbonyl complexes were developed as CO-releasing molecules (CORMs) which are able to deliver CO in a tissue-specific manner. However, upon the release of CO from the metal coordination sphere, complex fragments termed inactivated CORMs (iCORMs) with free coordination sites remain which can undergo nonspecific follow-up reactions under physiological conditions.
Thus, the first aim of the present thesis was the coordination of tetradentate ligands such as tris(2-pyridylmethyl)amine (tpa), bis(2-pyridylmethyl)(2-quinolylmethyl)amine (bpqa), bis(2-quinolylmethyl)(2-pyridylmethyl)amine (bqpa) and tris(2-quinolylmethyl) amine (tmqa) in a tridentate facial manner to a fac-Mn(CO)3 moiety previously established as a photoactivatable CO-releasing molecule (PhotoCORM). The desired coordination of the pedant donor group upon photolytic CO release at 365 nm was demonstrated by UV/Vis-, IR- und 1H NMR experiments and verified by DFT calculations. All complexes of the series showed long-term dark stability in phosphate-buffered saline (PBS), but released between two and three equivalents of carbon monoxide with half-lives of around 5-10 minutes upon illumination at 365 nm. Although the photolytic properties of the complexes were quite similar besides the differences in type of hetereoaromatic ligands, the determination of the logP values showed an increase of lipophilicity with the number of quinoline groups, which might enable tissue-specific uptake. A significant cellular manganese uptake as well as the binding of CO released upon photolysis to the cytochrome c oxidases in E. coli cells was demonstrated for [Mn(CO)3(tpa)]+. Furthermore, this complex exhibited photoinduced bactericidal activity when the cells were grown in succinate-containing medium and thus unable to change their metabolism to mixed acid fermentation.
In the second part of the project, the hexadentate ligand 1,4,7-tris(2-pyridylmethyl)-1,4,7-triazacyclononane (py3tacn) was coordinated to a facial Mn(CO)3 moiety. The resulting [Mn(CO)3(py3tacn-3N)]+ complex has one pedant donor group per labile carbonyl ligand and thus is a significant improvement over the 1st generation tpa-complexes. The metal-coligand inactivated CORM (iCORM) fragment expected to be generated upon complete photolytic CO release, [Mn(py3tacn-6N)]2+, was synthesized independently and will serve as a well-defined negative control in upcoming biological tests. The corresponding CORM has long-term dark stability in pure dimethylsulfoxide or phosphate-buffered myoglobin solution, with three equivalents of CO released with a half-life of 22 minutes upon illumination at 412 nm. The photolysis was also followed by IR spectroscopy and the intermediates, in line with a stepwise release of carbon monoxide, and occupation of vacated sites by the pedant pyridine group were verified by DFT calculations.
Due to possible tissue damage by energy-rich light and the inverse correlation of tissue penetration depth and illumination wavelength, the absorption maxima of PhotoCORMs should ideally be in the phototherapeutic window between 600 and 1200 nm. Thus, in the third part of this work, a series of heterobinuclear Mn(CO)3/Ru(bpy)2 PhotoCORMs was prepared to shift the absorption of these compounds into the red region of the UV/Vis spectrum. For the synthesis of such Mn(I)/Ru(II) complexes, the bridging ligands 2,3-di(2-pyridyl)quinoxaline (dpx) and 3-(pyridin-2-yl)-1,2,4-triazine[5,6-f]-1,10-phenanthroline (pytp) were prepared and the two binding pockets subsequently filled with a Ru(bpy)2 and a fac-Mn(CO)3 moiety. The resulting two heterobinuclear metal complexes [Ru(bpy)2(dpx)MnBr(CO)3]2+ and [Ru(bpy)2(pytp)MnBr(CO)3]2+ as well as [Ru(etx)(tbx)MnBr(CO)3]2+ with etx = ethyl(2,2':6',2''-terpyridine)-4'-carboxylate and tbx = N-((2,2’:6’,2’’-terpyridin)-4’-yl)2,2’-bipyridine-5-carboxamide which was prepared by a metal precursor provided by the group of Prof. Dr. Katja Heinze showed a significant shift of the main absorption bands to higher wavelengths as well as two times higher extinction coefficients than the analogous mononuclear Mn(I) compounds. However, both the Mn(I)/Ru(II) and Mn(I) complexes had a reduced stability in phosphate-buffered myoglobin solution even in the absence of light. The efficiency of the CO-release from [Ru(etx)(tbx)MnBr(CO)3]2+ and [Ru(bpy)2(dpx)MnBr(CO)3]2+ could be controlled by proper choice of the excitation wavelength. A change from 468 to 525 nm or even 660 nm led to a decrease of the number of CO equivalents released from two to one and an elongation of the half-lives.
Finally, since nitric oxide also serves as a small messenger molecule in the human body with its signaling pathways interacting with those of CO, a mixed-ligand CO/NO metal complex was sought. [Mo(CO)2(NO)(iPr3tacn)]+ with iPr3tacn = 1,4,7-triisopropyl-1,4,7-triazacyclonane was selected from the literature and its molecular structure determined by single crystal diffraction, demonstrating the presence of an NO+ ligand in the coordination sphere as indicated by a MO-N-O angle close to 180°. Photolysis of [Mo(CO)2(NO)(iPr3tacn)]+ required high-energy UV light, which prevented a quantification of the CO release due to photolytic decomposition of the myoglobin. However, solution IR experiments showed that the complex lost the two carbon monoxide ligands upon illumination at 254 nm while the NO remained tightly bound to the metal. The structures observed of the intermediates were also verified by DFT calculations.
In conclusion, in this project, four different classes of novel transition metal-based photoactivatable CO-releasing molecules (PhotoCORMs) were prepared and studied. The first group incorporated one additional free donor group per LMn(CO)3 moiety but varied in the number of coordinated pyridyl and quinolinyl groups which allows the control of the lipophilicity of these compounds. As an extension of this concept, the second series incorporated one free donor group per labile carbonyl ligand which gives rise to well-defined photolysis products that can be independently prepared and assayed. The third class was based on a Ru(II) photosensitizer unit connected to a MnBr(CO)3 PhotoCORM moiety. This shifts the absorption maximum from 500 nm to about 585 nm in [Ru(bpy)2(dpx)MnBr(CO)3]2+. Finally, a first mixed-ligand CO/NO carrier molecule was evaluated for its photolytic behavior. However, while the carbonyl ligands were photolabile at low excitation wavelengths, release of the NO ligand was not observed under the conditions studied.
In a next step, detailed studies on the bioactivity of the different classes of PhotoCORMs need to be carried out with partner groups from biochemistry to fully explore their biomedical potential.
India's economic rise since the 1990s has been followed by a more prominent global role for the country. Despite economic setbacks in recent years and huge domestic challenges like poverty, caste issues, and gender inequality, India today is almost universally characterised as an “emerging power”. At the same time, the country continues to show an enormous diversity. Thus, exploring emerging India can surely not be confined to economic analysis only. Instead, it is vital to take current developments in domestic and international politics, society, culture, religion, and political thinking into consideration as well. Following an interdisciplinary approach, contributions from Political Science, International Relations, Indology, Political Theory, and Economics are fundamental in order to grasp the country's diversity. This collection assembles eight essays which, individually, serve as working papers reflecting the authors' various research focuses, while collectively composing a multifaceted and multidis-ciplinary picture of emerging India. It thereby reflects the approach the University of Würz-burg’s Centre for Modern India and the Institute for Political Science and Sociology’s India Forum are committed to: bringing together different academic disciplines in order to generate nuanced insights into India’s manifold diversity.
Utility is perhaps the most central concept in modern economic theorizing. However, the behaviorist reduction to Revealed Preference not only removed the psychological content of utility but experimental investigations also exposed numerous anomalies in this theory.
This program of research focused on the psychological processes by which utility judgments are generated. For this purpose, the standard assumption of a homogeneous concept is substituted by the Utilitarian Duality Hypothesis.
In particular, judgments concerning categorical utility (uCat) infer an object's category based on its attributes which may subsequently allow the transfer of evaluative information like feelings or attitudes. In contrast, comparative utility (uCom) depends on the distance to a reference value on a specific dimension of comparison. Importantly, dimensions of comparison are manifold and context dependent.
In a series of experiments, we show that the resulting Dual Utility Model is able to explain several known anomalies in a parsimonious fashion. Moreover, we identify central factors determining the relative weight assigned to both utility components.
Finally, we discuss the implications of the Utilitarian Duality for both, the experimental practice in economics as well as the consequences for economic theorizing. In sum, we propose that the Dual Utility Model can serve as an integrative framework for both the rational model and its anomalies.
An efficient and accurate computational framework for solving control problems governed by quantum spin systems is presented. Spin systems are extremely important in modern quantum technologies such as nuclear magnetic resonance spectroscopy, quantum imaging and quantum computing. In these applications, two classes of quantum control problems arise: optimal control problems and exact-controllability problems, with a bilinear con- trol structure. These models correspond to the Schrödinger-Pauli equation, describing the time evolution of a spinor, and the Liouville-von Neumann master equation, describing the time evolution of a spinor and a density operator. This thesis focuses on quantum control problems governed by these models. An appropriate definition of the optimiza- tion objectives and of the admissible set of control functions allows to construct controls with specific properties. These properties are in general required by the physics and the technologies involved in quantum control applications. A main purpose of this work is to address non-differentiable quantum control problems. For this reason, a computational framework is developed to address optimal-control prob- lems, with possibly L1 -penalization term in the cost-functional, and exact-controllability problems. In both cases the set of admissible control functions is a subset of a Hilbert space. The bilinear control structure of the quantum model, the L1 -penalization term and the control constraints generate high non-linearities that make difficult to solve and analyse the corresponding control problems. The first part of this thesis focuses on the physical description of the spin of particles and of the magnetic resonance phenomenon. Afterwards, the controlled Schrödinger- Pauli equation and the Liouville-von Neumann master equation are discussed. These equations, like many other controlled quantum models, can be represented by dynamical systems with a bilinear control structure. In the second part of this thesis, theoretical investigations of optimal control problems, with a possible L1 -penalization term in the objective and control constraints, are consid- ered. In particular, existence of solutions, optimality conditions, and regularity properties of the optimal controls are discussed. In order to solve these optimal control problems, semi-smooth Newton methods are developed and proved to be superlinear convergent. The main difficulty in the implementation of a Newton method for optimal control prob- lems comes from the dimension of the Jacobian operator. In a discrete form, the Jacobian is a very large matrix, and this fact makes its construction infeasible from a practical point of view. For this reason, the focus of this work is on inexact Krylov-Newton methods, that combine the Newton method with Krylov iterative solvers for linear systems, and allows to avoid the construction of the discrete Jacobian. In the third part of this thesis, two methodologies for the exact-controllability of quan- tum spin systems are presented. The first method consists of a continuation technique, while the second method is based on a particular reformulation of the exact-control prob- lem. Both these methodologies address minimum L2 -norm exact-controllability problems. In the fourth part, the thesis focuses on the numerical analysis of quantum con- trol problems. In particular, the modified Crank-Nicolson scheme as an adequate time discretization of the Schrödinger equation is discussed, the first-discretize-then-optimize strategy is used to obtain a discrete reduced gradient formula for the differentiable part of the optimization objective, and implementation details and globalization strategies to guarantee an adequate numerical behaviour of semi-smooth Newton methods are treated. In the last part of this work, several numerical experiments are performed to vali- date the theoretical results and demonstrate the ability of the proposed computational framework to solve quantum spin control problems.
SUMMARY
Insulin-like growth factor I (IGF-I) is a polypeptide with a molecular weight of 7.649 kDa and an anabolic potential. Thereby, IGF-I has a promising therapeutic value e.g. in muscle wasting diseases such as sarcopenia. IGF-I is mainly secreted by the liver in response to growth hormone (GH) stimulation and is rather ubiquitously found within all tissues. The effects of IGF-I are mediated by its respective IGF-I transmembrane tyrosine kinase receptor triggering the stimulation of protein synthesis, glucose uptake and the regulation of cell growth. The actions of IGF-I are modulated by six IGF binding proteins binding and transporting IGF-I in a binary or ternary complex to tissues and receptors and modulating the binding of IGF-I to its receptor. The nature of the formed complexes impacts IGF-I`s half-life, modulating the half-life between 10 minutes (free IGF-I) to 12 - 15 hours when presented in a ternary complex with IGF binding protein 3 and an acid labile subunit (ALS). Therefore, sustained drug delivery systems of free IGF-I are superficially seen as interesting for the development of controlled release profiles, as the rate of absorption is apparently and easily set slower by simple formulation as compared to the rapid rate of elimination. Thereby, one would conclude, the formulation scientist can rapidly develop systems for which the pharmacokinetics of IGF-I are dominated by the formulation release kinetics. However, the in vivo situation is more complex and as mentioned (vide supra), the half-life may easily be prolonged up to hours providing proper IGF-I complexation takes place upon systemic uptake. These and other aspects are reviewed in Chapter I, within which we introduce IGF-I as a promising therapeutic agent detailing its structure and involved receptors along with the resulting signaling pathways. We summarize the control of IGF-I pharmacokinetics in nature within the context of its complex system of 6 binding proteins to control half-life and tissue distribution. Furthermore, we describe IGF-I variants with modulated properties in vivo and originated from alternative splicing. These insights were translated into sophisticated IGF-I delivery systems for therapeutic use. Aside from safety aspects, the challenges and requirements of an effective IGF-I therapy are discussed. Localized and systemic IGF-I delivery strategies, different routes of administration as well as liquid and solid IGF-I formulations are reviewed. Effective targeting of IGF-I by protein decoration is outlined and consequently this chapter provides an interesting guidance for successful IGF-I-delivery. In Chapter II, we firstly outline the stability of IGF-I in liquid formulations with the intention to deliver the biologic through the lung and the impact of buffer type, sodium chloride concentration and pH value on IGF-I stability is presented. IGF-I integrity was preserved in histidine buffer over 4 months at room temperature, but methionine 59 oxidation (Met(o)) along with reducible dimer and trimer formation was observed in an acidic environment (pH 4.5) and using acetate buffer. Strong aggregation resulted in a complete loss of IGF-I bioactivity, whereas the potency was partly maintained in samples showing a slight aggregation and complete IGF-I oxidation. Atomization by air-jet or vibrating-mesh nebulizers yielded in limited Met(o) formation and no aggregation. The results of IGF-I nebulization experiments regarding aerosol output rate, mass median aerodynamic diameter and fine particle fraction were comparable with 0.9% sodium chloride reference, approving the applicability of liquid IGF-I formulations for pulmonary delivery. In Chapter III we escalated the development to solid delivery systems designed for alveolar landing upon inhalation and by deploying trehalose and the newly introduced for pulmonary application silk-fibroin as carriers. Microparticles were produced using nano spray drying following analyses including IGF-I integrity, IGF-I release profiles and aerodynamic properties. In vitro transport kinetics of IGF-I across pulmonary Calu-3 epithelia were suggesting similar permeability as compared to IGF-I’s cognate protein, insulin that has already been successfully administered pulmonary in clinical settings. These in vivo results were translated to an ex vivo human lung lobe model. This work showed the feasibility of pulmonary IGF-I delivery and the advantageous diversification of excipients for pulmonary formulations using silk-fibroin. Chapter IV focuses on an innovative strategy for safe and controllable IGF-I delivery. In that chapter we escalated the development to novel IGF-I analogues. The intention was to provide a versatile biologic into which galenical properties can be engineered through chemical synthesis, e.g. by site directed coupling of polymers to IGF-I. For this purpose we genetically engineered two IGF-I variants containing an unnatural amino acid at two positions, respectively, thereby integrating alkyne functions into the primary sequence of the protein. These allowed linking IGF-I with other molecules in a site specific manner, i.e. via a copper catalyzed azide-alkyne Huisgen cycloaddition (click reaction). In this chapter we mainly introduce the two IGF-I variants, detail the delivery concept and describe the optimization of the expression conditions of the IGF-I variants.
In conclusion, we span from simple liquid formulations for aerolization through solid systems for tailored for maximal alveolar landing to novel engineered IGF-I analogues. Thereby, three strategies for advanced IGF-I delivery were addressed and opportunities and limitations of each were outlined. Evidence was provided that sufficiently stable and easy to manufacture formulations can be developed as typically required for first in man studies. Interestingly, solid systems – typically introduced in later stages of pharmaceutical development – were quite promising. By use of silk-fibroin as a new IGF-I carrier for pulmonary administration, a new application was established for this excipient. The demonstrated success using the ex vivo human lung lobe model provided substantial confidence that pulmonary IGF-I delivery is possible in man. Finally, this work describes the expression of two IGF-I variants containing two unnatural amino acids to implement an innovative strategy for IGF-I delivery. This genetic engineering approach was providing the fundament for novel IGF-I analogues. Ideally, the biologic is structurally modified by covalently linked moieties for the control of pharmacokinetics or for targeted delivery, e.g. into sarcopenic muscles. One future scenario is dicussed in the ‘conclusion and outlook’ section for which IGF-I is tagged to a protease sensitive linker peptide and this linker peptide in return is coupled to a polyethylenglykole (PEG) polymer (required to prolong the half-life). Some proteases may serve as proxy for sarcopenia such that protease upregulation in compromised muscle tissues drives cleavage of IGF-I from the PEG. Thereby, IGF-I is released at the seat of the disease while systemic side effects are minimized.
Aim of this thesis was to combine the versatility of sulfur-chemistry, regarding redox-sensitivity as well as chemo- and site-specific conjugation, with multifunctionality of poly(glycidol)s as an alternative to poly(ethylene glycol).
First the homo- and copolymerizations of EEGE and AGE were performed with respect to molar-mass distribution and reaction kinetics. A detailed study was given, varying the polymerization parameters such as DP, counter ion, solvent and monomer influence. It can be concluded that in general the rates for all polymerizations are higher using K+, in contrast to Cs+, as counter ion for the active alkoxide species. Unfortunately, K+ as counter ion commonly leads to a reduced control over polymer dispersity. In this thesis it was shown that the broad molar-mass distributions might be reduced by adding the monomer in a step-wise manner. In experiments with a syringe pump, for continuously adding the monomer, a significant reduction of the dispersities could be found using K+ as counter ion.
In analogy to the oxyanionic polymerization of epoxides, the polymerization of episulfides via a thioanionic mechanism with various DPs was successful with thiols/DBU as initiator. In most experiments bimodality could be observed due to the dimerization, caused by oxidation processes by introduced oxygen during synthesis. Reducing this was successful by modifying the degassing procedure, e.g. repeated degassing cycles after each step, i.e. initiation, monomer addition and quenching. Unfortunately, it was not always possible to completely avoid the dimerization due to oxidation. Thiophenol, butanethiol, mercaptoethanol and dithiothreitol were used as thiol initiators, all being capable to initiate the polymerization. With the prediction and the narrow molar-mass distributions, the living character of the polymerization is therefore indicated.
Homo- and copolymers of poly(glycidol) were used to functionalize these polymers with side-chains bearing amines, thiols, carboxylic acids and cysteines. The cysteine side-chains were obtained using a newly synthesized thiol-functional thiazolidine. For this, cysteine was protected using a condensation reaction with acetone yielding a dimethyl-substituted thiazolidine. Protection of the ring-amine was obtained via a mixed-anhydride route using formic acid and acetic anhydride. The carboxylic acid of 2,2-dimethylthiazolidine-4-carboxylic acid was activated with CDI and cysteamine attached. The obtained crystalline mercaptothiazolidine was subjected to thiol-ene click chemistry with allyl-functional poly(glycidol). A systematic comparison of thermal- versus photo-initiation showed a much higher yield and reaction rate for the UV-light mediated thiol-ene synthesis with DMPA as photo-initiator. Hydrolysis of the protected thiazolidine-functionalities was obtained upon heating the samples for 5 d at 70 °C in 0.1 M HCl. Dialysis against acetic acid lead to cysteine-functional poly(glycidol)s, storable as the acetate salt even under non-inert atmosphere. An oxidative TNBSA assay was developed to quantify the cysteine-content without the influence of the thiol-functionality. A cooperation partner coupled C-terminal thioester peptides with the cysteine-functional poly(glycidol)s and showed the good accessibility and reactivity of the cysteines along the backbone. SDS-PAGE, HPLC and MALDI-ToF measurements confirmed the successful coupling.
The combination of a topological insulator (TI) and a superconductor (S), which together
form a TI/S interface, is expected to influence the possible surface states in the
TI. It is of special interest, if the theoretical prediction of zero energy Majorana states
in this system is verifiable. This thesis presents the experimental realization of such
an interface between the TI strained bulk HgTe and the S Nb and studies if the afore
mentioned expectations are met.
As these types of interfaces were produced for the first time the initial step was
to develop a new lithographic process. Optimization of the S deposition technique as
well as the application of cleaning processes allowed for reproducible fabrication of
structures. In parallel the measurement setup was upgraded to be able to execute the
sensitive measurements at low energy. Furthermore several filters have been implemented
into the system to reduce high frequency noise and the magnetic field control
unit was additionally replaced to achieve the needed resolution in the μT range.
Two kinds of basic geometries have been studied: Josephson junctions (JJs) and
superconducting quantum interference devices (SQUIDs). A JJ consists of two Nb contacts
with a small separation on a HgTe layer. These S/TI/S junctions are one of the
most basic structures possible and are studied via transport measurements. The transport
through this geometry is strongly influenced by the behavior at the two S/TI
interfaces. In voltage dependent differential resistance measurements it was possible
to detect multiple Andreev reflections in the JJ, indicating that electrons and holes are
able to traverse the HgTe gap between both interfaces multiple times while keeping
phase coherence. Additionally using BTK theory it was possible to extract the interface
transparency of several junctions. This allowed iterative optimization for the highest
transparency via lithographic improvements at these interfaces. The increased transparency
and thus the increased coupling of the Nb’s superconductivity to the HgTe
results in a deeper penetration of the induced superconductivity into the HgTe. Due
to this strong coupling it was possible to enter the regime, where a supercurrent is
carried through the complete HgTe layer. For the first time the passing of an induced
supercurrent through strained bulk HgTe was achieved and thus opened the area for
detailed studies. The magnetic dependence of the supercurrent in the JJ was recorded,
which is also known as a Fraunhofer pattern. The periodicity of this pattern in magnetic
field compared to the JJ geometry allowed to conclude how the junction depends
on the phase difference between both superconducting contacts. Theoretical calculations
predicted a phase periodicity of 4p instead of 2p, if a TI is used as weak link
material between the contacts, due to the presence of Majorana modes. It could clearly
be shown that despite the usage of a TI the phase still was 2p periodic. By varying
further influencing factors, like number of modes and phase coherence length in the
junction, it might still be possible to reach the 4p regime with bound Majorana states
in the future. A good candidate for further experiments was found in capped HgTe
samples, but here the fabrication process still has to be developed to the same quality
as for the uncapped HgTe samples.
The second type of geometry studied in this thesis was a DC-SQUID, which consists
of two parallel JJs and can also be described as an interference device between two JJs.
The DC-SQUID devices were produced in two configurations: The symmetric SQUID,
where both JJs were identical, and the asymmetric SQUID, where one JJ was not linear,
but instead has a 90° bent. These configurations allow to test, if the predicted
uniformity of the superconducting band gap for induced superconductivity in a TI
is valid. While the phase of the symmetric SQUID is not influenced by the shape of
the band gap, the asymmetric SQUID would be in phase with the symmetric SQUID
in case of an uniform band gap and out of phase if p- or d-wave superconductivity
is dominating the transport, due to the 90° junction. As both devices are measured
one after another, the problem of drift in the coil used to create the magnetic field has
to be overcome in order to decide if the oscillations of both types of SQUIDs are in
phase. With an oscillation period of 0.5 mT and a drift rate in the range of 5.5 μT/h
the measurements on both configurations have to be conducted in a few hours. Only
then the total shift is small enough to compare them with each other. For this to be
possible a novel measurement system based on a real time micro controller was programmed,
which allows a much faster extraction of the critical current of a device. The
measurement times were reduced from days to hours, circumventing the drift problems
and enabling the wanted comparison. After the final system optimizations it has
been shown that the comparison should now be possible. Initial measurements with
the old system hinted that both types of SQUIDs are in phase and thus the expected
uniform band gap is more likely. With all needed optimizations in place it is now up
to the successors of this project to conclusively prove this last point.
This thesis has proven that it is possible to induce superconductivity in strained
bulk HgTe. It has thus realized the most basic sample geometry proposed by Fu and
Kane in 2008 for the appearance of Majorana bound states. Based on this work it is
now possible to further explore induced superconductivity in strained bulk HgTe to
finally reach a regime, where the Majorana states are both stable and detectable.
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease of the brain, which is characterized by a progressive loss of memory and spatial orientation. Only less than 5-10% of AD sufferers are familial cases due to genetic mutations in the amyloid precursor protein (APP) gene or presenilin (PS) 1 and 2 genes. The cause of sporadic AD (sAD) which covers > 95% of AD patients is still unknown. Current research found interactions between aging, diabetes and cognitive decline including dementia in general and in AD in particular. Disturbances of brain glucose uptake, glucose tolerance and utilization and impairment of the insulin/insulin receptor (IR) signaling cascade are thought to be key targets for the development of sAD.
In the brain of AD patients, neural plasticity is impaired indicated by synaptic and neuronal loss. Adult neurogenesis (AN), the generation of functional neurons in the adult brain, may be able to restore neurological function deficits through the integration of newborn neurons into existing neural networks. The dentate gyrus of the hippocampus is one out of few brain regions where life-long AN exists. However, there is a big controversy in literature regarding the involvement of AN in AD pathology. Most animal studies used transgenic mice based on the Amyloid ß (Aß) hypothesis which primarily act as models for the familial form of AD. Findings from human post mortem AN studies were also inconstistent. In this thesis, we focused on the possible involvement of AN in the pathogenesis of the sporadic form of AD. Streptozotocin intracerebroventricularily (STZ icv) treated rats, which develop an insulin-resistant brain state and learning and memory deficits preceding Aß pathology act as an appropriate animal model for sAD. We used STZ treatment for both parts of my work, for the in vivo and in vitro study.
In the first part of my thesis, my coworkers and I investigated STZ icv treatment effects on different stages of AN in an in vivo approach. Even if STZ icv treatment does not seem to considerably influence stem cell proliferation over a short-term (1 month after STZ icv treatment) as well as in a long-term (3 months after STZ icv treatment) period, it results in significantly less immature and newborn mature neurons 3 months after STZ icv treatment. This reduction detected after 3 months was specific for the septal hippocampus, discussed to be important for spatial learning. Subsequently we performed co-localization studies with antibodies detecting BrdU (applied appr. 27 days before sacrifice) and cell-type specific markers such as NeuN, and GFAP, we found that STZ treatment does not affect the differentiation fate of newly generated cells. Phenotype analysis of BrdU-positive cells in the hilus and molecular layer revealed that some of the BrdU-positive cells are newborn oligodendrocytes but not newborn microglia.
In the second part of my thesis I worked with cultured neural stem cells (NSCs) isolated from the adult rat hippocampus to reveal STZ effects on the proliferation of of NSCs, and on the survival and differentiation of their progeny. Furthermore, this in vitro approach enabled me to study cellular mechanisms underlying the observed impaired neurogenesis in the hippocampus of STZ-treated rats. In contrast to our findings of the STZ icv in vivo study we revealed that STZ supplied with the cell culture medium inhibits the proliferation of NSCs in a dose-dependent and time-dependent manner. Moreover, performing immunofluorescence studies with antibodies detecting cell-type specific markers after triggering NSCs to differentiate, we could show that STZ treatment affects the number of newly generated neurons but not of astrocytes. Analyzing newborn cells starting to differentiate and migrate I was able to demonstrate that STZ has no effect on the migration of newborn cells. Trying to reveal cellular mechanisms underlying the negative influence of STZ on hippocampal AN, we performed qRT-PCR and immunofluorescence staining and thus could show that in NSCs the expression of glucose transporter (GLUT)3 mRNA as well as IR and GLUT3 protein levels are reduced after STZ treatment. Therefore, the inhibition of the proliferation of NSCs may be (at least partially) caused by these two molecules. Interestingly, the effect of STZ on differentiating cells was shown to be different, as IR protein expression was not significantly changed but GLUT3 protein levels were decreased in consequence of STZ treatment.
In summary, this project delivered further insights into the interrelation between AN the sporadic form of sAD and thus provides a basis of new therapeutic approaches in sAD treatment through intervening AN. Discrepancies between the results of the two parts of my thesis, the in vivo and in vitro part, were certainly caused to a certain extent by the missing microenvironment in the in vitro approach with cultured NSCs. Future studies e.g. using co-culture systems could at least minimize the effect of a missing natural microenvironment of cultured NSCs, so that the use of an in vitro approach for the investigation of STZ treatment underlying cellular mechanisms can be improved.
This thesis deals with quantum Monte Carlo simulations of correlated low dimensional electron systems. The correlation that we have in mind is always given by the Hubbard type electron electron interaction in various settings. To facilitate this task, we develop the necessary methods in the first part. We develop the continuous time interaction expansion quantum algorithm in a manner suitable for the treatment of effective and non-equilibrium problems. In the second part of this thesis we consider various applications of the algorithms. First we examine a correlated one-dimensional chain of electrons that is subject to some form of quench dynamics where we suddenly switch off the Hubbard interaction. We find the light-cone-like Lieb-Robinson bounds and forms of restricted equilibration subject to the conserved quantities. Then we consider a Hubbard chain subject to Rashba spin-orbit coupling in thermal equilibrium. This system could very well be realized on a surface with the help of metallic adatoms. We find that we can analytically connect the given model to a model without spin-orbit coupling. This link enabled us to interpret various results for the standard Hubbard model, such as the single-particle spectra, now in the context of the Hubbard model with Rashba spin-orbit interaction. And finally we have considered a magnetic impurity in a host consisting of a topological insulator. We find that the impurity still exhibits the same features as known from the single impurity Anderson model. Additionally we study the effects of the impurity in the bath and we find that in the parameter regime where the Kondo singlet is formed the edge state of the topological insulator is rerouted around the impurity.
Photoinduced processes are nowadays studied with a huge variety of spectroscopic methods. In the liquid phase, transient absorption spectroscopy is probably the most versatile pump–probe technique used to study light-induced molecular phenomena. Optical time-resolved spectroscopy is established in a large number of laboratories and is still further being developed with respect to many technical aspects. Nevertheless, the full potential of shortening the data-acquisition time—necessary for the investigation of rapidly photodegrading samples and observation of macroscopically fast processes—achievable with high-repetition-rate laser systems and shot-to-shot detection was not fully exploited. Especially, shot-to-shot detection is highly beneficial due to the high correlation of subsequent laser pulses.
The development and implementation of 100 kHz broadband shot-to-shot data acquisition was presented in Chapter 3. For an established laser dye as a benchmark system, ultrafast excited-state dynamics were measured for the first time with broadband shot-to-shot detection at 100 kHz. An analysis of both the noise characteristics of the employed laser and the correlation of subsequent pulses quantified the advantage of shot-to-shot data acquisition. In the utilized software environment, the time for measuring a complete data set could be sped up by a factor of three or even higher compared to a laser system working at 1 kHz. So far, the limiting factor is the data processing and the movement of the mechanical delay stage. Nevertheless, the new shot-to-shot detection has the potential to shorten the measurement time up to a factor of 100. The data quality is improved by a factor of three when the hitherto conventional averaging scheme is compared to shot-to-shot acquisition for the same number of laser pulses. The expansion of shot-to-shot data acquisition for high repetition rates will allow studies on sensitive samples as exposure times can strongly be reduced to achieve the same signal-to-noise ratio. In addition, multidimensional spectroscopy can also be extended to high-repetition shot-to-shot readout allowing an efficient recording of data. Therefore, in future experiments, dynamics and couplings in sensitive samples and kinetic processes could be studied in more detail.
Complex photophysical and photochemical phenomena are subject of many fields of research. Many of these multifaceted processes are not yet fully understood. Therefore, a possible approach is the elucidation of single reaction steps with the combination of transient absorption spectroscopy and a suitable, less complex model system. The systematic variation of the model system’s properties and environments, e.g., by chemical substitution or adequate choice of the solvent allows the determination of essential entities and reactivities thereof. Proper knowledge of an individual intermediate step and its determining factors can enhance the understanding of the complete photoreaction process.
The application of transient absorption spectroscopy was shown for the optically-induced electron transfer in a series of donor–acceptor oligomers in Chapter 4. In general, the solvent relaxation times were isolated from the back-electron-transfer dynamics by a global lifetime analysis. For the smallest oligomeric structure where complete charge separation is possible, an ultrafast equilibration leads to charge recombination from the configuration showing the lowest barrier for recombination. The back-electron transfer strongly depends on the utilized solvent. Whereas in dichloromethane the back-electron transfer occurs with the maximum rate in the barrierless optimal region, the dynamics in toluene are governed by a Marcus inverted-region effect. The experimentally observed rates were also estimated by theoretical calculations of the respective barriers. The study did not only successfully unravel charge transfer in the oligomeric systems but also improved the understanding of the electron-transfer properties of larger polymers from an earlier study. Therefore, the combination of length variation and time-resolved spectroscopy is an important step towards the correct prediction of charge-carrier dynamics in macroscopic devices, e.g., for photovoltaics.
The bond dissociation of a carbon-monoxide-releasing molecule in aqueous solution was studied in Chapter 5 as a prototype reaction for the photo-triggered breaking of a bond. It was shown that upon excitation only one carbon-monoxide ligand of the tricarbonyl complex is dissociated. A fraction of the photolyzed molecules restore the intact initial complex by geminate recombination within the temporal resolution of the experiment. However, the recombination could be detected by the hot ground-state infrared absorption of the complex. The detectable dicarbonyl formed upon CO release distributes excess energy from the absorbed photon into low-frequency modes which result in broadened absorption bands like for the recombined tricarbonyl. The free coordination site in the ligand sphere is filled with a solvent water molecule. Despite numerous studies of metal carbonyls studied in alkaneous solutions, the elucidation of the dynamics of a CORM in aqueous solution added another important detail to the photochemistry of this class of compounds. Experiments employing a second ultraviolet pump pulse did not trigger further CO dissociation and hence no formation of a monocarbonyl species; this might either be due to a different release mechanism without a further photochemical step or a strong spectral shift of the dicarbonyl’s absorption. Both reasons could explain why degenerate pump–repump–probe spectroscopy is inefficient. However, further experiments with ultraviolet probe pulses could substantiate whether the intermediate dicarbonyl reacts further photochemically or not. Apart from the model-system character of the CORM for bond dissociation, the study could determine exactly how many CO ligands are initially photolyzed off. Detailed knowledge of the release mechanism will affect the previous use and application as well as the further development of CORMs as therapeutic prodrugs to deliver high local concentrations of CO in cancerous or pathological tissue. Hence, the study of two-photon absorption properties which are important for in vivo applications of CORMs should be the main focus in further spectroscopic experiments.
In Chapter 6, both abovementioned molecular phenomena—electron transfer and bond dissociation—were studied in combination. The photochemistry of a tetrazolium salt was studied in detail in a variety of different solvents. Being a relatively small molecule, the studied tetrazolium cation shows a multifaceted photochemistry and is therefore a textbook example for the combination of ultrafast molecular phenomena studied in different environments. Within femtoseconds, the tetrazolium ring is opened. The biradicalic species is then reduced via uptake of an electron from the solvent. The formation of the ring-open formazan photoproduct from this point of the reaction sequence on was excluded by experiments with acidic pH value of the solution. The ring-open radical is stabilized by ring-closure. The resulting tetrazolinyl radical was already observed in experiments with microsecond time resolution. However, its formation was observed in real time for the first time in this study. Irradiation of a tetrazoliumsalt solution yields different photoproduct distributions depending on the solvent. However, it was shown that all photoproducts have a tetrazolinyl radical as a common precursor on an ultrafast time scale. In combination with studies from the literature, the complete photochemical conversion of a tetrazolium salt was clarified in this study. Apart from the prototype character of the reaction sequence, the reaction mechanism will have impact on research associated with life science where tetrazolium assays are used on a daily basis without taking into account of photochemical conversion of the indicating tetrazolium ion and its photochemically formed reactive intermediates. On the basis of the tetrazolium-ion photochemistry, the rich photochemistry of the formazan photoproduct, including structural rearrangements and subsequent reformation of the tetrazolium ion, might be the subject of future studies.
This thesis shows a method advancement and application of transient absorption spectroscopy to exemplary molecular model systems. The insights into each respective field did not only enlighten singular aspects, but have to be seen in a much larger context. Understanding complex photoinduced processes bottom-up by learning about their constituting steps—microscopically and on an ultrafast time scale—is an ideal method to approach understanding and prediction of phenomena in large molecular systems like biological or artificial architectures as for example used in photosynthetic light-harvesting and photovoltaics.
To unravel the role of single genes underlying certain biological processes, scientists often use amorphic or hypomorphic alleles. In the past, such mutants were often created by chance. Enormous approaches with many animals and massive screening effort for striking phenotypes were necessary to find a needle in the haystack. Therefore at the beginning chemical mutagens or radiation were used to induce mutations in the genome. Later P-element insertions and inaccurate jump-outs enabled the advantage of potential larger deletions or inversions. The mutations were characterized and subsequently kept in smaller populations in the laboratories. Thus additional mutations with unknown background effects could accumulate.
The precision of the knockout through homologous recombination and the additional advantage of being able to generate many useful rescue constructs that can be easily reintegrated into the target locus made us trying an ends-out targeting procedure of the two core clock genes period and timeless in Drosophila melanogaster. Instead of the endogenous region, a small fragment of approximately 100 base pairs remains including an attP-site that can be used as integration site for in vitro created rescue constructs. After a successful ends-out targeting procedure, the locus will be restored with e.g. flies expressing the endogenous gene under the native promoter at the original locus coupled to a fluorescence tag or expressing luciferase.
We also linked this project to other research interests of our work group, like the epigenetic related ADAR-editing project of the Timeless protein, a promising newly discovered feature of time point specific timeless mRNA modification after transcription with yet unexplored consequences. The editing position within the Timeless protein is likewise interesting and not only noticed for the first time. This will render new insights into the otherwise not-satisfying investigation and quest for functional important sequences of the Timeless protein, which anyway shows less homology to other yet characterized proteins.
Last but not least, we bothered with the question of the role of Shaggy on the circadian clock. The impact of an overexpression or downregulation of Shaggy on the pace of the clock is obvious and often described. The influence of Shaggy on Period and Timeless was also shown, but for the latter it is still controversially discussed. Some are talking of a Cryptochrome stabilization effect and rhythmic animals in constant light due to Shaggy overexpression, others show a decrease of Cryptochrome levels under these conditions. Also the constant light rhythmicity of the flies, as it was published, could not be repeated so far. We were able to expose the conditions behind the Cryptochrome stabilization and discuss possibilities for the phenomenon of rhythmicity under constant light due to Shaggy overexpression.
Names of, for instance, children or companies are often chosen very carefully. They should sound and feel good. Therefore, many companies try to choose artificially created names that can easily be pronounced in various languages. A wide range of psychological research has demonstrated that easy processing (high processing fluency) is intrinsically experienced as positive. Due to this positive feeling, easy processing can have profound influences on preferences for names.
Topolinski, Maschmann, Pecher, and Winkielman (2014) have introduced a different mechanism that influences the perception of words. Across several experiments they found that words featuring consonantal inward wanderings (inward words) were preferred over words featuring consonantal outward wanderings (outward words). They argued that this was due to the fact that approach and avoidance motivations are activated by articulating inward and outward words, because the pronunciation resembles approach and avoidance behaviors of swallowing and spitting, respectively. They suggested this close link as an underlying mechanism for the so-called in-out effect, but did not test this assumption directly.
In the current work, I tested an alternative fluency account of the in-out effect. Specifically, I hypothesized that processing fluency might play a critical role instead of motivational states of approach and avoidance being necessarily activated.
In Chapter 1, I introduce the general topic of my dissertation, followed by a detailed introduction of the research area of approach and avoidance motivations in Chapter 2. In Chapter 3, I narrow the topic down to orally induced approach and avoidance motivations, which is the main topic of my dissertation. In Chapter 4, I introduce the research area of ecological influences on psychological processes. This chapter builds the base for the idea that human language might serve as a source of processing fluency in the in-out effect. In the following Chapter 5, I elaborate the research area of processing fluency, for which I examined whether it plays a role in the in-out effect.
After an overview of my empirical work in Chapter 6, the empirical part starts with Study 1a and Study 1b (Chapter 7) that aimed to show that two languages (Eng. & Ger.) in which the in-out effect has originally been found might feature a source of higher processing fluency for inward over outward words. The results showed that higher frequencies of inward dynamics compared to outward dynamics were found in both languages. This can lead to higher pronunciation fluency for inward compared to outward words which might in turn lay the ground for higher preferences found for inward over outward words.
In Chapter 8, the assumption that inward compared to outward dynamics might be more efficient to process was tested directly in experiments that examined objective as well as subjective processing fluency of artificially constructed non-words featuring pure inward or outward dynamics. Studies 2a-4b found an objective as well as subjective processing advantage for inward over outward words.
In Chapter 9, the causal role of objective and subjective pronunciation fluency in the in-out effect was examined. In Study 5 mediational analyses on item-level and across studies were conducted using objective and subjective fluency as possible mediating variables. In Study 6 mediation analyses were conducted with data on subject- and trial-level from a within-subject design. Overall, the data of the item-based, subject-based and trial-based mediation analyses provide rather mixed results. Therefore, an experimental manipulation of fluency was implemented in the last two studies.
In Chapter 10, Study 7 and Study 8 demonstrate that manipulating fluency experimentally does indeed modulate the attitudinal impact of consonantal articulation direction. Articulation ease was induced by letting participants train inward or outward kinematics before the actual evaluation phase. Additionally, the simulation training was intensified in Study 8 in order to examine whether a stronger modulation of the in-out effect could be found. Training outward words led to an attenuation and, after more extensive training, even to a reversal of the in-out effect, whereas training inward words led to an enhancement of the in-out effect. This hints at my overall hypothesis that the explicit preferences of inward and outward words are, at least partially, driven by processing fluency.
Almost all studies of my dissertation, except for one analysis of the item-based mediation study, speak in favor of the hypothesis that inward words compared to outward words are objectively and subjectively easier to articulate. This possibly contributes partially to a higher preference of inward over outward words. The results are discussed in Chapter 11 with respect to processing fluency and to the role of language as an ecological factor. Finally, future research ideas are elaborated.
The successful synthesis of a family of donor-iridium complex-acceptor triads (T1–T6, pMV1 and mMV1) and their electrochemical and photophysical properties were presented in this work. Triarylamines (TAA) were used as donors and naphthalene diimide (NDI) as acceptor. A bis-cyclometalated phenylpyrazole iridium dipyrrin complex acts as a photosensitiser. In addition, a molecular structure of T1 was obtained by single crystal X-ray diffraction.
Transient absorption spectroscopy experiments of these triads resembled that upon excitation a photoinduced electron transfer efficiently generates long-lived, charge-separated (CS) states. Thereby, the electron-transfer mechanism depends on the excitation energy.
The presence of singlet and triplet CS states was clarified by magnetic-field dependent transient-absorption spectroscopy in the nanosecond time regime. It was demonstrated that the magnetic field effect of charge-recombination kinetics showed for the first time a transition from the coherent to the incoherent spin-flip regime.
The lifetime of the CS states could be drastically prolonged by varying the spacer between the iridium complex and the NDI unit by using a biphenyl instead of a phenylene unit in T4.
A mixed-valence (MV) state of two TAA donors linked to an iridium metal centre were generated upon photoexcitation of triad pMV1 and mMV1. The mixed-valence character in these triads was proven by the analysis of an intervalence charge-transfer (IV-CT) band in the (near-infrared) NIR spectral region by femtosecond pump-probe experiments. These findings were supported by TD-DFT calculations.
The synthesis of dyads (D1–D4) was performed. Thereby the dipyrrin ligand was substituted with electron withdrawing groups. The electrochemical and photophysical characterisation revealed that in one case (D4) it was possible to generate a CS state upon photoexcitation.
In the thesis discrete moments of the Riemann zeta-function and allied Dirichlet series are studied.
In the first part the asymptotic value-distribution of zeta-functions is studied where the samples are taken from a Cauchy random walk on a vertical line inside the critical strip. Building on techniques by Lifshits and Weber analogous results for the Hurwitz zeta-function are derived. Using Atkinson’s dissection this is even generalized to Dirichlet L-functions associated with a primitive character. Both results indicate that the expectation value equals one which shows that the values of these
zeta-function are small on average.
The second part deals with the logarithmic derivative of the Riemann zeta-function on vertical lines and here the samples are with respect to an explicit ergodic transformation. Extending work of Steuding, discrete moments are evaluated and an equivalent formulation for the Riemann Hypothesis in terms of ergodic theory is obtained.
In the third and last part of the thesis, the phenomenon of universality with respect
to stochastic processes is studied. It is shown that certain random shifts of the zeta-function can approximate non-vanishing analytic target functions as good as we please. This result relies on Voronin's universality theorem.
Accurate information transfer between neurons governs proper brain function. At chemical synapses, communication is mediated via neurotransmitter release from specialized presynaptic intercellular contact sites, so called active zones. Their molecular composition constitutes a precisely arranged framework that sets the stage for synaptic communication.
Active zones contain a variety of proteins that deliver the speed, accuracy and plasticity inherent to neurotransmission. Though, how the molecular arrangement of these proteins influences active zone output is still ambiguous. Elucidating the nanoscopic organization of AZs has been hindered by the diffraction-limited resolution of conventional light microscopy, which is insufficient to resolve the active zone architecture on the nanometer scale. Recently, super-resolution techniques entered the field of neuroscience, which yield the capacity to bridge the gap in resolution between light and electron microscopy without losing molecular specificity. Here, localization microscopy methods are of special interest, as they can potentially deliver quantitative information about molecular distributions, even giving absolute numbers of proteins present within cellular nanodomains.
This thesis puts forward an approach based on conventional immunohistochemistry to quantify endogenous protein organizations in situ by employing direct stochastic optical reconstruction microscopy (dSTORM). Focussing on Bruchpilot (Brp) as a major component of Drosophila active zones, the results show that the cytomatrix at the active zone is composed of units, which comprise on average ~137 Brp molecules, most of which are arranged in approximately 15 heptameric clusters. To test for a quantitative relationship between active zone ultrastructure and synaptic output, Drosophila mutants and electrophysiology were employed. The findings indicate that the precise spatial arrangement of Brp reflects properties of short-term plasticity and distinguishes distinct mechanistic causes of synaptic depression. Moreover, functional diversification could be connected to a heretofore unrecognized ultrastructural gradient along a Drosophila motor neuron.
The increasing importance of environmental friendly and efficient transportation guides the interest of researchers and car manufacturers towards the development of technologies that support an efficient driving style.
This thesis presents the development of a traffic light assistance system with the focus on human factors. The system aims on supporting drivers in approaching traffic light intersections efficiently. In three driving simulator studies, the content related research covered the investigation of the unassisted driving task, the influence of the system on the driver’s perception of the interaction with other road users and the information strategy of the human machine interface. When the traffic light phase changes or when visibility is limited, drivers prepare driving behaviour that is not appropriate for the traffic light phase at arrival at the intersection. These situations offer the greatest potential for the assistance system. The traffic light assistant is able to change driving behaviour. However, the expectation of other road user’s emotional reactions influences driver compliance. In situations in which drivers expected to bother others with their driving behaviour, compliance to the traffic light assistant was low. Further, the deviations of driver behaviour from the target strategy of the traffic light assistant are lowest when the HMI includes the two information units target speed and action recommendations. Traffic light phase information in the HMI is a subjectively important information for drivers. The results point towards the presentation of all three information units.
The method related research covered the development of a method for measuring drivers’ information demand for dynamic stimuli. While driving, specific stimuli are action relevant for drivers, i.e. they need to be processed in order to decide on the appropriate driving behaviour. Eye tracking has been the standard method for measuring information demand while driving. The novel MARS (Masking Action Relevant Stimuli) method measures information demand by masking the dynamic action relevant stimulus in the driving environment or in the vehicle. To unmask the stimulus for a fixed interval, drivers press a button at the steering wheel. In the present thesis, two driving simulator studies evaluated the MARS method. They included measuring information demand for the traffic light phasing and the in-vehicle display of the traffic light assistant. The analyses demonstrate that variations in the experimental conditions influence the information demand measured with the MARS method qualitatively similar to the influences on fixations measured by eye tracking. Due to its simple application, the MARS method represents a promising tool for transportation research.
Protein-protein interactions play a crucial role in the development of drug delivery devices for the increasingly important biologicals, including antibodies, growth factors and cytokines. The understanding thereof might offer opportunities for tailoring carriers or drug proteins specifically for this purpose and thereby allow controlled delivery to a chosen target. The possible applications range from trigger-dependent release to sustained drug delivery and possibly permanently present stimuli, depending on the anticipated mechanism.
Silk fibroin (SF) is a biomaterial that is suitable as a carrier for protein drug delivery devices. It combines processability under mild conditions, good biocompatibility and stabilizing effects on incorporated proteins.
As SF is naturally produced by spiders and silkworms, the understanding of this process and its major factors might offer a blueprint for formulation scientists, interested in working with this biopolymer. The natural process of silk spinning covers a fascinating versatility of aggregate states, ranging from colloidal solutions through hydrogels to solid systems. The transition among these states is controlled by a carefully orchestrated process in vivo. Major players within the natural process include the control of spatial pH throughout passage of the silk dope, the composition and type of ions, and fluid flow mechanics within the duct, respectively. The function of these input parameters on the spinning process is reviewed before detailing their impact on the design and manufacture of silk based drug delivery systems (DDS). Examples are reported including the control of hydrogel formation during storage or significant parameters controlling precipitation in the presence of appropriate salts, respectively. The review details the use of silk fibroin to develop liquid, semiliquid or solid DDS with a focus on the control of SF crystallization, particle formation, and drug-SF interaction for tailored drug load.
Although we were able to show many examples for SF drug delivery applications and there are many publications about the loading of biologics to SF systems, the mechanism of interaction between both in solution was not yet extensively explored. This is why we made this the subject of our work, as it might allow for direct influence on pharmaceutical parameters, like aggregation and drug load.
In order to understand the underlying mechanism for the interaction between SF and positively charged model proteins, we used isothermal titration calorimetry for thermodynamic characterization. This was supported by hydrophobicity analysis and by colloidal characterization methods including static light scattering, nanoparticle tracking analysis and zeta potential measurements. We studied the effects of three Hofmeister salts – NaCl (neutral), NaSCN (chaotropic) and Na2SO4 (cosmotropic) – and the pH on the interaction of SF with the model proteins in dependence of the ratio from one to another. The salts impacted the SF structure by stabilizing (cosmotropic) or destabilizing (chaotropic) the SF micelles, resulting in completely abolished (cosmotropic) or strongly enhanced (chaotropic) interaction. These effects were responsible for different levels of loading and coacervation when varying type of salt and its concentration. Additionally, NaCl and NaSCN were able to prolong the stability of aqueous SF solution during storage at 25°C in a preliminary study.
Another approach to influence protein-protein interactions was followed by covalent modification. Interleukin-4 (IL-4) is a cytokine driving macrophages to M2 macrophages, which are known to provide anti-inflammatory effects. The possibility to regulate the polarization of macrophages to this state might be attractive for a variety of diseases, like atherosclerosis, in which macrophages are involved. As these cases demand a long-term treatment, this polarization was supposed to be maintained over time and we were planning to achieve this by keeping IL-4 permanently present in an immobilized way. In order to immobilize it, we genetically introduced an alkyne-carrying, artificial amino acid in the IL-4 sequence. This allowed access to a site-specific click reaction (Cu(I)-catalyzed Huisgen azide-alkyne cycloaddition) with an azide partner. This study was able to set the basis for the project by successful expression and purification of the IL-4 analogue and by proving the availability for the click reaction and maintained bioactivity. The other side of this project was the isolation of human monocytes and the polarization and characterization of human macrophages. The challenge here was that the majority of related research was based on murine macrophages which was not applicable to human cells and the successful work was so far limited to establishing the necessary methods.
In conclusion, we were able to show two different methods that allow the influence of protein-protein interactions and thereby the possible tailoring of drug loading. Although the results were very promising for both systems, their applicability in the development of drug delivery devices needs to be shown by further studies.
A series of combustion relevant species like radicals, carbenes and polycyclic aromatic hydrocarbons were characterized in the gas phase by vacuum UV synchrotron radiation and their ionization energies (IE) and further spectroscopic details of the respective cations were retrieved from threshold photoelectron spectra. The reactive intermediates were generated by flash vacuum pyrolysis from stable precursor molecules. Furthermore three polycyclic aromatic hydrocarbons were investigated by threshold photoelectron spectroscopy, too. The experiment was performed at the VUV beamline of the Swiss Light Source in Villigen/Switzerland and the iPEPICO (imaging photoelectron photoion coincidence) setup was applied to correlate ions and electrons from the same ionization event. From the threshold photoelectron spectra and from quantum chemical computations the vibrational structure of the molecule cations and the geometry changes upon ionization were assigned. The ionization energies of the two C4H5 isomers 2-butyn-1-yl and 1-butyn-3-yl were assigned to 7.94±0.02 eV and 7.97±0.02 eV, respectively. The isomerization between the two isomers was computed to have a barrier of 2.20 eV, so a rearrangement between the two radicals cannot be excluded. From the threshold photoelectron spectra of the two constitutional C4H7 isomers 1-methylallyl and 2-methylallyl the ionization energies were assigned to 7.48±0.02 eV and to 7.59±0.02 eV for 1-E-methylallyl and 1-Z-methylallyl, as well as to 7.88±0.01 eV for 2-methylallyl. The two radicals 9-fluorenyl, C13H9, and benzhydryl, C13H11, were observed to ionize at 7.01±0.02 eV and 6.7 eV. The threshold photoelectron spectrum of benzhydryl also incorporated the signal of the diphenylmethyl carbene, C13H10, which has an IE at 6.8 eV. In addition, the head-to-head dimers of 9-fluorenyl and benzhydryl were observed as products in the pyrolysis. C26H18 has an IE at 7.69±0.04 eV and C26H22 has an IE at 8.13±0.04 eV. The three polycyclic aromatic hydrocarbon DHP (C14H16) 1-PEN (C18H22) and THCT (C22H16) were investigated in an effusive beam. The ionization energies were determined to IE(DHP)= 7.38±0.02 eV, IE(1-PEN)=7.58±0.05 eV and IE(THCT)=6.40±0.02 eV. Furthermore the thermal decomposition and the dissociative photoionization of diazomeldrum’s acid was investigated. The pyrolysis products yielded beside several other products the two not yet (by photoelectron spectroscopy) characterized molecules E-formylketene, C3O2H2 and 2-diazoethenone, N2C2O. The dissociative photoionization showed the Wolff rearrangement to occur at higher internal energies.
Molecular and cellular cross talk between angiogenic, immune and DNA mismatch repair pathways
(2015)
VEGF is a main driver of tumor angiogenesis, playing an important role not only in the formation of new blood vessels, but also acts as a factor for cell migration, proliferation, survival and apoptosis. Angiogenesis is a universal function shared by most solid tumors and its inhibition was thought to have the potential to work across a broad patient population. Clinical evidence has shown that inhibiting pathological angiogenesis only works in a subset of patients and the identification of those patients is an important step towards personalized cancer care. The first approved antiangiogenic therapy was bevacizumab (Avastin®), a monoclonal antibody targeting VEGF in solid tumors including CRC, BC, NSCLC, RCC and others.
In addition to endothelial cells, VEGF receptors are present on a number of different cell types including tumor cells, monocytes and macrophages. The work presented in this thesis looked at the in vitro cellular changes in tumor cells and leukocytes in response to the inhibition of VEGF signaling with the use of bevacizumab. In the initial experiments, VEGF was induced by hypoxia in tumor cells to evaluate changes in survival, proliferation, migration and changes in gene or protein expression. There was a minimal direct response of VEGF inhibition in tumor cells that could be attributed to bevacizumab treatment, with minor variations in some of the cell lines screened but no uniform or specific response noted.
MMR deficiency often results in microsatellite instability (MSI) in tumors, as opposed to microsatellite stable (MSS) tumors, and accounts for up to 15% of colorectal carcinomas (CRCs). It has been suggested in clinical data that MMR deficient tumors responded better to bevacizumab regimens, therefore further research used isogenic paired CRC tumor cell lines (MMR deficient and proficient). Furthermore, a DNA damaging agent was added to the treatment regimen, the topoisomerase inhibitor SN-38 (the active metabolite of irinotecan). Inhibiting VEGF using bevacizumab significantly inhibited the ability of MMR deficient tumor cells to form anchor dependent colonies, however conversely, bevacizumab treatment before damaging cells with SN-38, showed a significant increase in colony numbers. Moreover, VEGF inhibition by bevacizumab pretreatment also significantly increased the mutation fraction in MMR deficient cells as measured by transiently transfecting a dinucleotide repeat construct, suggesting VEGF signaling may have an intrinsic role in MMR deficient cells. A number of pathways were analyzed in addition to changes in gene expression profiles resulting in the identification of JNK as a possible VEGF targeted pathway. JUN expression was also reduced in these conditions reinforcing this hypothesis, however the intricate molecular mechanisms remain to be elucidated.
In order to remain focused on the clinical application of the findings, it was noted that some cytokines were differentially regulated by bevacizumab between MMR proficient and deficient cells. Treatment regimens employed in vitro attempted to mimic the clinical setting by inducing DNA damage, then allowing cells to recover with or without VEGF using bevacizumab treatment. Inflammatory cytokines, CCL7 and CCL8, were found to have higher expression in the MMR deficient cell line with bevacizumab after DNA damage, therefore the cross talk via tumor derived factors to myeloid cells was analyzed. Gene expression changes in monocytes induced by tumor conditioned media showed CCL18 to be a bevacizumab regulated gene by MMR deficient cells and less so in MMR proficient cells. CCL18 has been described as a prognostic marker in gastric, colorectal and ovarian cancers, however the significance is dependent on tumor type. CCL18 primarily exerts its function on the adaptive immune system to trigger a TH2 response in T cells, but is also described to increase non-specific phagocytosis. The results of this study did show an increase in the phagocytic activity of macrophages in the presence of bevacizumab that was significantly more apparent in MMR deficient cells. Furthermore, after DNA damage MMR deficient cells treated with bevacizumab released a cytokine mix that induced monocyte migration in a bevacizumab dependent manner, showing a functional response with the combination of MMR deficiency and bevacizumab. In summary, the work in this thesis has shown evidence of immune cell modulation that is specific to MMR deficient tumor cells that may translate into a marker for the administration of bevacizumab in a clinical setting.
VEGF ist ein zentraler Regulator der Tumor-Angiogenese, und spielt eine wichtige Rolle nicht nur in der Bildung von neuen Blutgefäßen, sondern ist auch für die Migration, Proliferation, das Überleben und Apoptose von Tumorzellen essentiell. Angiogenese ist eine der universellen Funktionen, welche das Wachstum der meisten soliden Tumoren charakterisiert. Eine der klassischen therapeutischen Ideen wurde auf der Basis entwickelt, dass die spezifische Hemmung der Angiogenese das Potenzial hat in einer breiten Patientenpopulation einen klinischen Effekt zu zeigen. Die klinische Erfahrung und Anwendung hat jedoch gezeigt, dass die Hemmung der pathologischen Angiogenese nur in einem Teil der Patienten einen therapeutischen Nutzen aufweist. Somit stellt die Identifikation derjenigen Patienten, welche von der anti-angiogenen Therapie profitieren, einen wichtiger Schritt zur personalisierten Krebsbehandlung dar. Die erste zugelassene antiangiogene Therapie war Bevacizumab (Avastin®), ein monoklonaler Antikörper gegen VEGF, welcher unter anderem in soliden Tumoren wie CRC, BC, nicht-kleinzelligem Lungenkrebs (NSCLC) und dem Nierenzellkarzinom angewandt wird.
VEGF-Rezeptoren befinden sich nicht nur auf Endothelzellen, sondern sind auch auf einer Anzahl von verschiedenen Zelltypen, einschließlich Tumorzellen, Monozyten und Makrophagen nachweisbar. Die in dieser Arbeit vorgestellten Ergebnisse befassen sich mit den zellulären Veränderungen an Tumorzellen und Leukozyten als Reaktion auf die Hemmung der VEGF-Signalkaskade durch Bevacizumab in-vitro. In den Initialen Experimenten wurde VEGF durch Hypoxie in Tumorzellen induziert und Veränderungen der Überlebensrate, der Proliferation, Migration als auch in der Gen- oder Protein-Expression gemessen. Es konnte eine minimale direkte Reaktion der VEGF-Hemmung auf Tumorzellen beobachtet werden, welche auf die Bevacizumab Behandlung zurückgeführt werden könnte. Es zeigten sich aber auch geringfügige Abweichungen in einigen der verwendeten Zellinien, die keine einheitliche Interpretation erlauben oder auf eine uniformelle Reaktion hinweisen würden.
Das phänotypische Korrelat einer „Mismatch“ Reparatur (MMR)-Defizienz ist die Mikrosatelliteninstabilität im Gegensatz zu mikrosatellitenstabilen Tumoren und findet sich bei bis zu 15% der kolorektalen Karzinomen (CRC) wieder. Klinischen Daten deuten daraufhin, dass Bevacizumab besser in MMR-defizienten Tumoren wirkt. Daher wurden die weiteren Untersuchungen in gepaarten MMR stabilen und MMR instabilen CRC-Tumorzelllinien (MMR defizient und kompetent) durchgeführt. Weiterhin wurde ein DNA-schädigendes Agens, SN-38, ein Topoisomerase-Inhibitor (der aktive Metabolit von Irinotecan) dem Behandlungsschema zugefügt. Es zeigte sich, dass die Hemmung von VEGF mittels Bevacizumab die Fähigkeit der MMR defizienten Tumorzellen Kolonien zu bilden signifikant inhibiert. Im Gegensatz dazu, hatte die Behandlung von Bevacizumab vor der Zugabe des DNA schädigenden Agens zu einer vermehrten Kolonienzahl geführt. Außerdem erhöhte die Vorbehandlung mit Bevacizumab deutlich die Mutationsrate in MMR-defizienten Zellen, was durch die transiente Transfektion eines Dinukleotid-Repeat-Konstrukts nachgewiesen werden konnte. Dies deutete darauf hin, dass VEGF eine intrinsische Rolle in der Signalkaskade des MMR-Systems haben könnte. Deshalb wurde eine Anzahl von Signalalkaskaden zusätzlich zu Veränderungen von Genexpressionsprofilen untersucht und JNK als mögliche Verbindungsstelle der beiden Signalkaskaden, VEGF und MMR, identifiziert. Diese Hypothese wurde zusätzlich unterstützt durch die Tatsache, dass die JUN Expression unter diesen experimentellen Bedingungen reduziert war. Die Aufklärung der komplexen molekularen Mechanismen der potentiellen Interaktion bleibt zukünftigen Untersuchungen vorbehalten.
In Hinblick auf die klinische Konsequenz der erhaltenen Ergebnisse war es auffällig, dass einige Zytokine durch Bevacizumab in den MMR defizienten Zellen im Gegensatz zu den MMR kompetenten Zellen unterschiedlich reguliert wurden. Die in-vitro verwendeten Behandlungsschemata waren den klinisch zur Anwendung kommenden Protokollen nachempfunden. Zuerst wurde ein DNA-Schaden gesetzt, und den Zellen ermöglicht, sich mit oder ohne Bevacizumab zu erholen. Es konnte gezeigt werden, dass die inflammatorischen Zytokine CCL7 und CCL8 eine höhere Expression in der MMR-defiziente Zelllinie in Kombination mit Bevacizumab aufweisen. Daher wurde ein möglicher Crosstalk zwischen von Tumorzellen sezernierten Faktoren und myeloischen Zellen weiter verfolgt. Veränderungen der Genexpression in Monozyten durch Tumorzell- konditionierte Medien zeigte CCL18 als ein Bevacizumab reguliertes Gen in MMR-defizienten Zellen, aber nicht in MMR kompetenten Zellen. CCL18 übt seine Funktion primär im adaptiven Immunsystems aus um eine TH2-Antwort in T-Zellen auszulösen Ausserdem wird eine Erhöhung der nicht-spezifische Phagozytose als weitere Funktion beschrieben. CCL18 wurde bereits als prognostischer Marker in Magen-, Dickdarm- und Eierstockkrebsarten beschrieben; die klinische Bedeutung ist jedoch abhängig von Tumortyp.
Die Ergebnisse dieser Arbeit zeigen, dass eine Erhöhung der phagozytischen Aktivität von Makrophagen in Gegenwart von Bevacizumab wesentlich deutlicher in MMR-defizienten Zellen ausgeprägt war. Weiterhin wurde gefunden, dass nach DNA-Schädigung in Bevacizumab behandelten MMR-defizienten Zellen Zytokine freigesetzt werden, welche eine Monozytenmigration in einer Bevacizumab-abhängigen Weise induzieren. Dies weist auf eine funktionelle Interaktion von MMR-Defizienz und Bevacizumab hin. Zusätzlich zeigen die Ergebnisse dieser Arbeit eine Immunzellmodulation, die spezifisch für Mismatch-Reparatur defiziente Tumorzellen ist und in der klinischen Praxis als Marker für die Verabreichung von Bevacizumab verwendet werden könnte.
This work brings forward successful implementations of ultrafast chirality-sensitive spectroscopic techniques by probing circular dichroism (CD) or optical rotation dispersion (ORD). Furthermore, also first steps towards chiral quantum control, i.e., the selective variation of the chiral properties of molecules with the help of coherent light, are presented.
In the case of CD probing, a setup capable of mirroring an arbitrary polarization state of an ultrashort laser pulse was developed. Hence, by passing a left-circularly polarized laser pulse through this setup a right-circularly polarized laser pulse is generated. These two pulse enantiomers can be utilized as probe pulses in a pump--probe CD experiment. Besides CD spectroscopy, it can be utilized for anisotropy or ellipsometry spectroscopy also. Within this thesis, the approach is used to elucidate the photochemistry of hemoglobin, the oxygen transporting protein in mammalian blood. The oxygen loss can be triggered with laser pulses as well, and the results of the time-resolved CD experiment suggest a cascade-like relaxation, probably through different spin states, of the metallo-porphyrins in hemoglobin.
The ORD probing was realized via the combination of common-path optical heterodyne interferometric polarimetry and accumulative femtosecond spectroscopy. Within this setup, on the one hand the applicability of this approach for ultrafast studies was demonstrated explicitly. On the other hand, the discrimination between an achiral and a racemic solution without prior spatial separation was realized. This was achieved by inducing an enantiomeric excess via polarized femtosecond laser pulses and following its evolution with the developed polarimeter. Hence, chiral selectivity was already achieved with this method which can be turned into chiral control if the polarized laser pulses are optimized to steer an enhancement of the enantiomeric excess.
Furthermore, within this thesis, theoretical prerequisites for anisotropy-free pump--probe experiments with arbitrary polarized laser pulses were derived. Due to the small magnitude of optical chirality-sensitve signals, these results are important for any pump--probe chiral spectroscopy, like the CD probing presented in this thesis. Moreover, since for chiral quantum control the variation of the molecular structure is necessary, the knowledge about rearrangement reactions triggered by photons is necessary. Hence, within this thesis the ultrafast Wolff rearrangement of an α-diazocarbonyl was investigated via ultrafast photofragment ion spectroscopy in the gas phase. Though the compound is not chiral, the knowledge about the exact reaction mechanism is beneficial for future studies of chiral compounds.
Within this thesis a new philosophy in monitoring spacecrafts is presented: the
unification of the various kinds of monitoring techniques used during the
different lifecylce phases of a spacecraft.
The challenging requirements being set for this monitoring framework are:
- "separation of concerns" as a design principle (dividing the steps of logging
from registered sources, sending to connected sinks and displaying of
information),
- usage during all mission phases,
- usage by all actors (EGSE engineers, groundstation operators, etc.),
- configurable at runtime, especially regarding the level of detail of logging
information, and
- very low resource consumption.
First a prototype of the monitoring framework was developed as a support library
for the real-time operating system
RODOS. This prototype was tested on dedicated hardware platforms relevant for
space, and also on a satellite demonstrator used for educational purposes.
As a second step, the results and lessons learned from the development and usage
of this prototype were transfered to a real space mission: the first satellite
of the DLR compact satellite series - a space based platform for DLR's own
research activities. Within this project, the software of the avionic subsystem
was supplemented by a powerful logging component, which enhances the traditional
housekeeping capabilities and offers extensive filtering and debugging
techniques for monitoring and FDIR needs. This logging component is the major
part of the flight version of the monitoring framework. It is completed by
counterparts running on the development computers and as well as the EGSE
hardware in the integration room, making it most valuable already in the
earliest stages of traditional spacecraft development.
Future plans in terms of adding support from the groundstation as well will lead
to a seamless integration of the monitoring framework not only into to the
spacecraft itself, but into the whole space system.
LIM and SH3 protein 1 (LASP1) is a nucleocytoplasmic scaffolding protein. LASP1 interacts with various cytoskeletal proteins via its domain structure and is known to participate in physiological processes of cells. In the present study, a detailed investigation of the expression pattern of LASP1 protein in normal skin, melanocytic nevi and melanoma was carried out and the melanocyte–specific function of LASP1 was analyzed. LASP1 protein was identified in stratum basale of skin epidermis and a very high level was detected in nevi, the benign tumor of melanocyte. In the highly proliferative basal cells, an additional distinct nuclear localization of the protein was noted. In different tumor entities, an elevated LASP1 expression and nuclear localization, correlated positively with malignancy and tumor grade. However, LASP1 level was determined to be very low in melanoma and even reduced in metastases. Melanoma is distinguished as the first tumor tested to date – that displayed an absence of elevated LASP1 expression. In addition no significant relation was observed between LASP1 protein expression and clinicopathological parameters in melanoma.
The epidermal melanin unit of skin comprises of melanocytes and keratinocytes. Melanocytes are specialized cells that synthesize the photo protective coloring pigment, melanin inside unique organelles called melanosomes. The presence of LASP1 in melanocytes is reported for the first time through this study and the existence was confirmed by immunoblotting analysis in cultured normal human epidermal melanocyte (NHEM) and in melanoma cell lines, along with the immunohistostaining imaging in normal skin and in melanocytic nevi. LASP1 depletion in MaMel2 cells revealed a moderate increase in the intracellular melanin level independently of de novo melanogenesis, pointing to a partial hindrance in melanin release. Immunofluorescence images of NHEM and MaMel2 cells visualized co-localization of LASP1 with dynamin and tyrosinase concomitant with melanosomes at the dendrite tips of the cells. Melanosome isolation experiments by sucrose density gradient centrifugation clearly demonstrated the presence of LASP1 and the melanosome specific markers tyrosinase and TRP1 in late stage melanosomes.
The study identified LASP1 and dynamin as novel binding partners in melanocytes and provides first evidence for the existence of LASP1 and dynamin (a protein well–known for its involvement in vesicle formation and budding) in melanosomes. Co-localization of LASP1 and dynamin along the dendrites and at the tips of the melanocytes indicates a potential participation of the two proteins in the membrane vesicle fission at the plasma membrane.
In summary, a possible involvement of LASP1 in the actin–dynamin mediated membrane fission and exocytosis of melanin laden melanosome vesicles into the extracellular matrix is suggested.
In the course of the growth of the Internet and due to increasing availability of data, over the last two decades, the field of network science has established itself as an own area of research. With quantitative scientists from computer science, mathematics, and physics working on datasets from biology, economics, sociology, political sciences, and many others, network science serves as a paradigm for interdisciplinary research.
One of the major goals in network science is to unravel the relationship between topological graph structure and a network’s function. As evidence suggests, systems from the same fields, i.e. with similar function, tend to exhibit similar structure. However, it is still vague whether a similar graph structure automatically implies likewise function. This dissertation aims at helping to bridge this gap, while particularly focusing on the role of triadic structures.
After a general introduction to the main concepts of network science, existing work devoted to the relevance of triadic substructures is reviewed. A major challenge in modeling triadic structure is the fact that not all three-node subgraphs can be specified independently
of each other, as pairs of nodes may participate in multiple of those triadic subgraphs.
In order to overcome this obstacle, we suggest a novel class of generative network models based on so called Steiner triple systems. The latter are partitions of a graph’s vertices into pair-disjoint triples (Steiner triples). Thus, the configurations on Steiner triples can be specified independently of each other without overdetermining the network’s link
structure.
Subsequently, we investigate the most basic realization of this new class of models. We call it the triadic random graph model (TRGM). The TRGM is parametrized by a probability distribution over all possible triadic subgraph patterns. In order to generate a network instantiation of the model, for all Steiner triples in the system, a pattern is drawn from the distribution and adjusted randomly on the Steiner triple. We calculate the degree distribution of the TRGM analytically and find it to be similar to a Poissonian distribution. Furthermore, it is shown that TRGMs possess non-trivial triadic structure. We discover inevitable correlations in the abundance of certain triadic subgraph
patterns which should be taken into account when attributing functional relevance to particular motifs – patterns which occur significantly more frequently than expected at random. Beyond, the strong impact of the probability distributions on the Steiner triples on the occurrence of triadic subgraphs over the whole network is demonstrated. This interdependence allows us to design ensembles of networks with predefined triadic substructure. Hence, TRGMs help to overcome the lack of generative models needed for assessing the relevance of triadic structure.
We further investigate whether motifs occur homogeneously or heterogeneously distributed over a graph. Therefore, we study triadic subgraph structures in each node’s neighborhood individually. In order to quantitatively measure structure from an individual node’s perspective, we introduce an algorithm for node-specific pattern mining for both directed unsigned, and undirected signed networks. Analyzing real-world datasets, we find that there are networks in which motifs are distributed highly heterogeneously, bound to the proximity of only very few nodes. Moreover, we observe indication for the potential sensitivity of biological systems to a targeted removal of these critical vertices. In addition, we study whole graphs with respect to the homogeneity and homophily of their node-specific triadic structure. The former describes the similarity of subgraph distributions in the neighborhoods of individual vertices. The latter quantifies whether connected vertices
are structurally more similar than non-connected ones. We discover these features to be characteristic for the networks’ origins. Moreover, clustering the vertices of graphs regarding their triadic structure, we investigate structural groups in the neural network of C. elegans, the international airport-connection network, and the global network of diplomatic sentiments between countries. For the latter we find evidence for the instability of triangles considered socially unbalanced according to sociological theories.
Finally, we utilize our TRGM to explore ensembles of networks with similar triadic substructure in terms of the evolution of dynamical processes acting on their nodes. Focusing on oscillators, coupled along the graphs’ edges, we observe that certain triad motifs impose a clear signature on the systems’ dynamics, even when embedded in a larger
network structure.
The ecosystem of the high northern latitudes is affected by the recently changing environmental conditions. The Arctic has undergone a significant climatic change over the last decades. The land coverage is changing and a phenological response to the warming is apparent. Remotely sensed data can assist the monitoring and quantification of these changes. The remote sensing of the Arctic was predominantly carried out by the usage of optical sensors but these encounter problems in the Arctic environment, e.g. the frequent cloud cover or the solar geometry. In contrast, the imaging of Synthetic Aperture Radar is not affected by the cloud cover and the acquisition of radar imagery is independent of the solar illumination. The objective of this work was to explore how polarimetric Synthetic Aperture Radar (PolSAR) data of TerraSAR-X, TanDEM-X, Radarsat-2 and ALOS PALSAR and interferometric-derived digital elevation model data of the TanDEM-X Mission can contribute to collect meaningful information on the actual state of the Arctic Environment. The study was conducted for Canadian sites of the Mackenzie Delta Region and Banks Island and in situ reference data were available for the assessment. The up-to-date analysis of the PolSAR data made the application of the Non-Local Means filtering and of the decomposition of co-polarized data necessary.
The Non-Local Means filter showed a high capability to preserve the image values, to keep the edges and to reduce the speckle. This supported not only the suitability for the interpretation but also for the classification. The classification accuracies of Non-Local Means filtered data were in average +10% higher compared to unfiltered images. The correlation of the co- and quad-polarized decomposition features was high for classes with distinct surface or double bounce scattering and a usage of the co-polarized data is beneficial for regions of natural land coverage and for low vegetation formations with little volume scattering. The evaluation further revealed that the X- and C-Band were most sensitive to the generalized land cover classes. It was found that the X-Band data were sensitive to low vegetation formations with low shrub density, the C-Band data were sensitive to the shrub density and the shrub dominated tundra. In contrast, the L-Band data were less sensitive to the land cover. Among the different dual-polarized data the HH/VV-polarized data were identified to be most meaningful for the characterization and classification, followed by the HH/HV-polarized and the VV/VH-polarized data. The quad-polarized data showed highest sensitivity to the land cover but differences to the co-polarized data were small. The accuracy assessment showed that spectral information was required for accurate land cover classification. The best results were obtained when spectral and radar information was combined. The benefit of including radar data in the classification was up to +15% accuracy and most significant for the classes wetland and sparse vegetated tundra. The best classifications were realized with quad-polarized C-Band and multispectral data and with co-polarized X-Band and multispectral data. The overall accuracy was up to 80% for unsupervised and up to 90% for supervised classifications. The results indicated that the shortwave co-polarized data show promise for the classification of tundra land cover since the polarimetric information is sensitive to low vegetation and the wetlands. Furthermore, co-polarized data provide a higher spatial resolution than the quad-polarized data.
The analysis of the intermediate digital elevation model data of the TanDEM-X showed a high potential for the characterization of the surface morphology. The basic and relative topographic features were shown to be of high relevance for the quantification of the surface morphology and an area-wide application is feasible. In addition, these data were of value for the classification and delineation of landforms. Such classifications will assist the delineation of geomorphological units and have potential to identify locations of actual and future morphologic activity.
The general map-labeling problem is as follows: given a set of geometric objects to be labeled, or features, in the plane, and for each feature a set of label positions, maximize the number of placed labels such that there is at most one label per feature and no two labels overlap. There are three types of features in a map: point, line, and area features. Unfortunately, one cannot expect to find efficient algorithms that solve the labeling problem optimally.
Interactive maps are digital maps that only show a small part of the entire map whereas the user can manipulate the shown part, the view, by continuously panning, zooming, rotating, and tilting (that is, changing the perspective between a top and a bird view). An example for the application of interactive maps is in navigational devices. Interactive maps are challenging in that the labeling must be updated whenever labels leave the view and, while zooming, the label size must be constant on the screen (which either makes space for further labels or makes labels overlap when zooming in or out, respectively). These updates must be computed in real time, that is, the computation must be so fast that the user does not notice that we spend time on the computation. Additionally, labels must not jump or flicker, that is, labels must not suddenly change their positions or, while zooming out, a vanished label must not appear again.
In this thesis, we present efficient algorithms that dynamically label point and line features in interactive maps. We try to label as many features as possible while we prohibit labels that overlap, jump, and flicker. We have implemented all our approaches and tested them on real-world data. We conclude that our algorithms are indeed real-time capable.
As organic semiconductors gain more importance for application, research into their properties has become necessary. This work investigated the exciton and charge transport properties of organic semiconducting crystals. Based on a hopping approach, protocols have been developed for the calculation of Charge mobilities and singlet exciton diffusion coefficients. The protocols do not require any input from experimental data except for the x-ray crystal structure, since all needed quantities can be taken from high-level quantum chemical calculations. Hence, they allow to predict the transport properties of yet unknown compounds for given packings, which is important for a rational design of new materials. Different thermally activated hopping models based on time-dependent perturbation theory were studied for the charge and exciton transport; i. e. the spectral overlap approach, the Marcus theory, and the Levich-Jortner theory. Their derivations were presented coherently in order to emphasize the different levels of approximations and their respective prerequisites. A short reference was made to the empirical Miller-Abrahams hopping rate. Rate equation approaches to calculate the stationary charge carrier mobilities and exciton diffusion coefficients have been developed, which are based on the master equation. The rate equation approach is faster and more efficient than the frequently used Monte Carlo method and, therefore, provides the possibility to study the anisotropy of the transport parameters and their three-dimensional representation in the crystal. The Marcus theory, originally derived for outer sphere electron transfer in solvents, had already been well established for charge transport in organic solids. It was shown that this theory fits even better for excitons than for charges compared with the experiment. The Levich-Jortner theory strongly overestimates the charge carrier mobilities and the results deviate even stronger from the experiment than those obtained with the Marcus theory. The latter contains larger approximations by treating all vibrational modes classically. The spectral overlap approach in combination with the developed rate equations leads to even quantitatively very good results for exciton diffusion lengths compared to experiment. This approach and the appendant rate equations have also been adapted to charge transport. The Einstein relation, which relates the diffusion coefficient with the mobility, is important for the rate equations, which have been developed here for transport in organic crystals. It has been argued that this relation does not hold in disordered organic materials. This was analyzed within the Framework of the Gaussian disorder model and the Miller-Abrahams hopping rate.
The role of human Ephrin receptor tyrosine kinase A2 (EphA2) in Chlamydia trachomatis infection
(2015)
Chlamydia trachomatis (Ctr), an obligate intracellular gram negative human pathogen, causes sexually transmitted diseases and acquired blindness in developing countries. The infectious elementary bodies (EB) of Ctr involved in adherence and invasion processes are critical for chlamydial infectivity and subsequent pathogenesis which requires cooperative interaction of several host cell factors. Few receptors have been known for this early event, yet the molecular mechanism of these receptors involvement throughout Ctr infection is not known. Chlamydial inclusion membrane serves as a signaling platform that coordinates Chlamydia-host cell interaction which encouraged me to look for host cell factors that associates with the inclusion membrane, using proteome analysis. The role of these factors in chlamydial replication was analyzed by RNA interference (RNAi) (in collaboration with AG Thomas Meyer). Interestingly, EphrinA2 receptor (EphA2), a cell surface tyrosine kinase receptor, implicated in many cancers, was identified as one of the potential candidates. Due to the presence of EphA2 in the Ctr inclusion proteome data, I investigated the role of EphA2 in Ctr infection. EphA2 was identified as a direct interacting receptor for adherence and entry of C. trachomatis. Pre-incubation of Ctr-EB with recombinant human EphA2, knockdown of EphA2 by siRNA, pretreatment of cells with anti-EphA2 antibodies or the tyrosine kinase inhibitor dasatinib significantly reduced Ctr infection. This marked reduction of Ctr infection was seen with both epithelial and endothelial cells used in this study. Ctr activates EphA2 upon infection and invades the cell together with the activated EphA2 receptor that interacts and activates PI3K survival signal, promoting chlamydial replication. EphA2 upregulation during infection is associated with Ctr inclusion membrane inside the cell and are prevented being translocated to the cell surface. Ephrins are natural ligands for Ephrin receptors that repress the activation of the PI3K/Akt pathway in a process called reverse signaling. Purified Ephrin-A1, a ligand of EphA2, strongly interferes with chlamydial infection and normal development, supporting the central role of these receptors in Chlamydia infection. Overexpression of full length EphA2, but not the mutant form lacking the intracellular cytoplasmic domain, enhanced PI3K activation and Ctr infection. Ctr infection induces EphA2 upregulation and is mediated by activation of ERK signaling pathway. Interfering with EphA2 upregulation sensitizes Ctr-infected cells to apoptosis induced by tumor necrosis factor-alpha (TNF-α) suggesting the importance of intracellular EphA2 signaling.
Collectively, these results revealed the first Ephrin receptor “EphA2” that functions in promoting chlamydial infection. In addition, the engagement of a cell surface receptor at the inclusion membrane is a new mechanism how Chlamydia subverts the host cell and induces apoptosis resistance. By applying the natural ligand Ephrin-A1 and targeting EphA2 offers a promising new approach to interfere with Chlamydia infection. Thus, the work provides the evidence for a host cell surface tyrosine kinase receptor that is exploited for invasion as well as for receptor-mediated intracellular signaling to facilitate the chlamydial replication.
Knowledge-based systems (KBS) face an ever-increasing interest in various disciplines and contexts. Yet, the former aim to construct the ’perfect intelligent software’ continuously shifts to user-centered, participative solutions. Such systems enable users to contribute their personal knowledge to the problem solving process for increased efficiency and an ameliorated user experience. More precisely, we define non-functional key requirements of participative KBS as: Transparency (encompassing KBS status mediation), configurability (user adaptability, degree of user control/exploration), quality of the KB and UI, and evolvability (enabling the KBS to grow mature with their users). Many of those requirements depend on the respective target users, thus calling for a more user-centered development. Often, also highly expertise domains are targeted — inducing highly complex KBs — which requires a more careful and considerate UI/interaction design. Still, current KBS engineering (KBSE) approaches mostly focus on knowledge acquisition (KA) This often leads to non-optimal, little reusable, and non/little evaluated KBS front-end solutions.
In this thesis we propose a more encompassing KBSE approach. Due to the strong mutual influences between KB and UI, we suggest a novel form of intertwined UI and KB development. We base the approach on three core components for encompassing KBSE:
(1) Extensible prototyping, a tailored form of evolutionary prototyping; this builds on mature UI prototypes and offers two extension steps for the anytime creation of core KBS prototypes (KB + core UI) and fully productive KBS (core KBS prototype + common framing functionality). (2) KBS UI patterns, that define reusable solutions for the core KBS UI/interaction; we provide a basic collection of such patterns in this work. (3) Suitable usability instruments for the assessment of the KBS artifacts. Therewith, we do not strive for ’yet another’ self-contained KBS engineering methodology. Rather, we motivate to extend existing approaches by the proposed key components. We demonstrate this based on an agile KBSE model.
For practical support, we introduce the tailored KBSE tool ProKEt. ProKEt offers a basic selection of KBS core UI patterns and corresponding configuration options out of the box; their further adaption/extension is possible on various levels of expertise. For practical usability support, ProKEt offers facilities for quantitative and qualitative data collection. ProKEt explicitly fosters the suggested, intertwined development of UI and KB. For seamlessly integrating KA activities, it provides extension points for two selected external KA tools: For KnowOF, a standard office based KA environment. And for KnowWE, a semantic wiki for collaborative KA. Therewith, ProKEt offers powerful support for encompassing, user-centered KBSE.
Finally, based on the approach and the tool, we also developed a novel KBS type: Clarification KBS as a mashup of consultation and justification KBS modules. Those denote a specifically suitable realization for participative KBS in highly expertise contexts and consequently require a specific design. In this thesis, apart from more common UI solutions, we particularly also introduce KBS UI patterns especially tailored towards Clarification KBS.
At the center of the Internet’s protocol stack stands the Internet Protocol (IP) as a common denominator that enables all communication. To make routing efficient, resilient, and scalable, several aspects must be considered. Care must be taken that traffic is well balanced to make efficient use of the existing network resources, both in failure free operation and in failure scenarios.
Finding the optimal routing in a network is an NP-complete problem. Therefore, routing optimization is usually performed using heuristics. This dissertation shows that a routing optimized with one objective function is often not good when looking at other objective functions. It can even be worse than unoptimized routing with respect to that objective function. After looking at failure-free routing and traffic distribution in different failure scenarios, the analysis is extended to include the loop-free alternate (LFA) IP fast reroute mechanism. Different application scenarios of LFAs are examined and a special focus is set on the fact that LFAs usually cannot protect all traffic in a network even against single link failures. Thus, the routing optimization for LFAs is targeted on both link utilization and failure coverage. Finally, the pre-congestion notification mechanism PCN for network admission control and overload protection is analyzed and optimized. Different design options for implementing the protocol are compared, before algorithms are developed for the calculation and optimization of protocol parameters and PCN-based routing.
The second part of the thesis tackles a routing problem that can only be resolved on a global scale. The scalability of the Internet is at risk since a major and intensifying growth of the interdomain routing tables has been observed. Several protocols and architectures are analyzed that can be used to make interdomain routing more scalable. The most promising approach is the locator/identifier (Loc/ID) split architecture which separates routing from host identification. This way, changes in connectivity, mobility of end hosts, or traffic-engineering activities are hidden from the routing in the core of the Internet and the routing tables can be kept much smaller. All of the currently proposed Loc/ID split approaches have their downsides. In particular, the fact that most architectures use the ID for routing outside the Internet’s core is a poor design, which inhibits many of the possible features of a new routing architecture. To better understand the problems and to provide a solution for a scalable routing design that implements a true Loc/ID split, the new GLI-Split protocol is developed in this thesis, which provides separation of global and local routing and uses an ID that is independent from any routing decisions.
Besides GLI-Split, several other new routing architectures implementing Loc/ID split have been proposed for the Internet. Most of them assume that a mapping system is queried for EID-to-RLOC mappings by an intermediate node at the border of an edge network. When the mapping system is queried by an intermediate node, packets are already on their way towards their destination, and therefore, the mapping system must be fast, scalable, secure, resilient, and should be able to relay packets without locators to nodes that can forward them to the correct destination. The dissertation develops a classification for all proposed mapping system architectures and shows their similarities and differences. Finally, the fast two-level mapping system FIRMS is developed. It includes security and resilience features as well as a relay service for initial packets of a flow when intermediate nodes encounter a cache miss for the EID-to-RLOC mapping.
A simple test setup has been developed at Institute of Aerospace Information Technology, University of Würzburg, Germany to realize basic functionalities for formation flight of quadrocopters. The test environment is planned to be utilized for developing and validating the algorithms for formation flying capability in real environment as well as for education purpose. An already existing test bed for single quadrocopter was extended with necessary inter-communication and distributed control mechanism to test the algorithms for formation flights in 2 degrees of freedom (roll / pitch). This study encompasses the domain of communication, control engineering and embedded systems programming. Bluetooth protocol has been used for inter-communication between two quadrocopters. A simple approach of PID control in combination with Kalman filter has been exploited. MATLAB Instrument Control Toolbox has been used for data display, plotting and analysis. Plots can be drawn in real-time and received information can also be stored in the form of files for later use and analysis. The test setup has been developed indigenously and at considerably low cost. Emphasis has been placed on simplicity to facilitate students learning process. Several lessons have been learnt during the course of development of this setup. Proposed setup is quite flexible that can be modified as per changing requirements.
Microbial species (bacteria and archaea) in the gut are important for human health in various ways. Not only does the species composition vary considerably within the human population, but each individual also appears to have its own strains of a given species. While it is known from studies of bacterial pan-genomes, that genetic variation between strains can differ considerably, such as in Escherichia coli, the extent of genetic variation of strains for abundant gut species has not been surveyed in a natural habitat. This is mainly due to the fact that most of these species cannot be cultured in the laboratory. Genetic variation can range from microscale genomic rearrangements such as small nucleotide polymorphism (SNP) to macroscale large genomic rearrangements like structural variations. Metagenomics offers an alternative solution to study genetic variation in prokaryotes, as it involves DNA sequencing of the whole community directly from the environment. However, most metagenomic studies to date only focus on variation in gene abundance and hence are not able to characterize genetic variation (in terms of presence or absence of SNPs and genes) of gut microbial strains of individuals.
The aim of my doctorate studies was therefore to study the extent of genetic variation in the genomic sequence of gut prokaryotic species and its phenotypic effects based on: (1) the impact of SNP variation in gut bacterial species, by focusing on genes under selective pressure and (2) the gene content variation (as a proxy for structural variation) and their effect on microbial species and the phenotypic traits of their human host.
In the first part of my doctorate studies, I was involved in a project in which we created a catalogue of 10.3 million SNPs in gut prokaryotic species, based on metagenomes. I used this to perform the first SNP-based comparative study of prokaryotic species evolution in a natural habitat. Here, I found that strains of gut microbial species in different individuals evolve at more similar rates than the strains within an individual. In addition, I found that gene evolution can be uncoupled from the evolution of its originating species, and that this could be related to selective pressure such as diet, exemplified by galactokinase gene (galK). Despite the individuality (i.e. uniqueness of each individual within the studied metagenomic dataset) in the SNP profile of the gut microbiota that we found, for most cases it is not possible to link SNPs with phenotypic differences. For this reason I also used gene content as a proxy to study structural variation in metagenomes.
In the second part of my doctorate studies, I developed a methodology to characterize the variability of gene content in gut bacterial species, using metagenomes. My approach is based on gene deletions, and was applied to abundant species (demonstrated using a set of 11 species). The method is sufficiently robust as it captures a similar range of gene content variability as has been detected in completely sequenced genomes. Using this procedure I found individuals differ by an average of 13% in their gene content of gut bacterial strains within the same species. Interestingly no two individuals shared the same gene content across bacterial species. However, this variation corresponds to a lower limit, as it is only accounts for gene deletion and not insertions. This large variation in the gene content of gut strain was found to affect important functions, such as polysaccharide utilization loci (PULs) and capsular polysaccharide synthesis (CPS), which are related with digestion of dietary fibers.
In summary, I have shown that metagenomics based approaches can be robust in characterizing genetic variation in gut bacterial species. I also illustrated, using examples both for SNPs and gene content (galK, PULs and CPS), that this genetic variation can be used to predict the phenotypic characteristics of the microbial species, as well as predicting the phenotype of their human host (for example, their capacity to digest different food components). Overall, the results of my thesis highlight the importance of characterizing the strains in the gut microbiome analogous to the emerging variability and importance of human genomics.
Protein kinases as targets for the development of novel drugs against alveolar echinococcosis
(2015)
The metacestode larval stage of the fox tapeworm Echinococcus multilocularis is the causative agent of alveolar echinococcosis (AE), one of the most lethal zoonosis of the northern hemisphere. The development of metacestode vesicles by asexual multiplication and the almost unrestricted infiltrative growth within the host organs is ensured from a population of undifferentiated, proliferative cells, so-called germinative cells. AE treatment options include surgery, if possible, as well as Benzimidazole-based chemotherapy (BZ). Given that the cellular targets of BZs, the -tubulins, are highly conserved between cestodes and humans, the chemotherapy is associated with considerable side-effects. Therefore, BZ can only be applied in parasitostatic doses and has to be given lifelong. Furthermore, the current anti-AE chemotherapy is ineffective in eliminating the germinative cell population of the parasite, which leads to remission of parasite growth as soon as therapy is discontinued.
This work focuses on protein kinases involved in the proliferation and development of the parasite with the intention of developing novel anti-AE therapies. Polo-like kinases (Plks) are important regulators of the eukaryotic cell cycle and are involved in the regulation and formation of the mitotic spindles during the M-phase of the cell cycle. Plks have already been shown to be associated with deregulated cellular growth in human cancers and have been investigated as novel drug targets in the flatworm parasite Schistosoma mansoni. In the first part of this work, the characterisation of a novel and druggable parasite enzyme, EmPlk1, which is homologous to the polo-like kinase 1 (Plk1) of humans and S. mansoni (SmPlk1), is presented. Through in situ hybridisation, it could be demonstrated that emplk1 is specifically expressed in the Echinococcus germinative cells. Upon heterologous expression in the Xenopus oocyte system, EmPlk1 induced germinal vesicle breakdown, thus indicating that it is an active kinase. Furthermore, BI 2536, a compound originally designed to inhibit the human ortholog of EmPlk1, inhibited the EmPlk1 activity at a concentration of 25 nM. In vitro treatment of parasite vesicles with similar concentrations of BI 2536 led to the elimination of the germinative cells from Echinococcus larvae, thus preventing the growth and further development of the parasite. In in vitro cultivation systems for parasite primary cells, BI 2536 effectively inhibited the formation of new metacestode vesicles from germinative cells. Thus, BI 2536 has profound anti-parasitic activities in vitro at concentrations well within the range of plasma levels measured after the administration of safe dosages to patients (50 nM after 24 h). This implies that EmPlk1 is a promising new drug target for the development of novel anti-AE drugs that would specifically affect the parasite’s stem cell population, namely the only parasite cells capable of proliferation. In addition to the chemotherapeutic aspects of this work, the inhibitor BI 2536 could be further used to study the function of stem cells in this model organism, utilising a method of injection of parasite stem cells into metacestode vesicles, for instance, as has been developed in this work.
In the second part of this work, a novel receptor tyrosine kinase, the Venus flytrap kinase receptor (EmVKR) of E. multilocularis has been characterised. Members of this class of single-pass transmembrane receptors have recently been discovered in the related trematode S. mansoni and are associated with the growth and differentiation of sporocyst germinal cells and ovocytes. The ortholog receptor in EmVKR is characterised by an unusual domain composition of an extracellular Venus flytrap module (VFT), which shows significant similarity to GABA receptors, such as the GABAB receptor (γ-amino butyric acid type B) and is linked through a single transmembrane domain to an intracellular tyrosine kinase domain with similarities to the kinase domains of human insulin receptors. Based upon the size (5112bp) of emvkr and nucleotide sequence specificities, efforts have been made to isolate the gene from cell culture samples to study the ligand for the activation of this receptor type in Xenopus oocytes. To date, this type of receptor has only been described in invertebrates, thus making it an attractive target for drug screening. In a first trial, the ATP competitive inhibitor AG 1024 was tested in our in vitro cell culture.
In conclusion, the EmVKR represents a novel receptor tyrosine kinase in E. multilocularis. Further efforts have to be made to identify the activating ligand of the receptor and its cellular function, which might strengthen the case for EmVKR as a potential drug target. The successful depletion of stem cells in the metacestode vesicle by the Plk1 inhibitor BI 2536 gives rise to optimising the chemical component for EmPlk1 as a new potential drug target. Furthermore, this inhibitor opens a new cell culture technique with high potential to study the cellular behaviour and influencing factors of stem cells in vitro.
Several aspects of the stability analysis of large-scale discrete-time systems are considered. An important feature is that the right-hand side does not have have to be continuous.
In particular, constructive approaches to compute Lyapunov functions are derived and applied to several system classes.
For large-scale systems, which are considered as an interconnection of smaller subsystems, we derive a new class of small-gain results, which do not require the subsystems to be robust in some sense. Moreover, we do not only study sufficiency of the conditions, but rather state an assumption under which these conditions are also necessary.
Moreover, gain construction methods are derived for several types of aggregation, quantifying how large a prescribed set of interconnection gains can be in order that a small-gain condition holds.
One of the most popular extensions of the SM is Supersymmetry (SUSY). It is a symmetry relating fermions and bosons and also the only feasible extension to the symmetries of spacetime. With SUSY it is then possible to explain some of the open questions left by the SM while at the same time opening the possibility of gauge unification at a high scale. SUSY theories require the addition of new particles, in particular an extra Higgs doublet and at least as many new scalars as fermions in the SM. Much in the same way that the Higgs boson breaks SU (2)L symmetry, these new scalars can break any symmetry for which they carry a charge through spontaneous symmetry breaking.
Let us assume there is a local minimum of the potential that reproduces the correct phenomenol- ogy for a parameter point of a given model. By exploring whether there are other deeper minima with VEVs that break symmetries we want to conserve, like SU (3)C or U (1)EM , it is possible to exclude regions of parameter space where that happens. The local minimum with the correct phenomenology might still be metastable, so it is also necessary to calculate the probability of tunneling between minima.
In this work we propose and apply a framework to constrain the parameter space of models with many scalars through the minimization of the one-loop eff e potential and the calculation of tunneling times at zero and non zero temperature.After a brief discussion about the shortcomings of the SM and an introduction of the basics of SUSY, we introduce the theory and numerical methods needed for a successful vacuum stability analysis. We then present Vevacious, a public code where we have implemented our proposed framework. Afterwards we go on to analyze three interesting examples.
For the constrained MSSM (CMSSM) we explore the existence of charge- and color- breaking (CCB) minima and see how it constraints the phenomenological relevant region of its parameter space at T = 0. We show that the regions reproducing the correct Higgs mass and the correct relic density for dark matter all overlap with regions suffering from deeper CCB minima.
Inspired by the results for the CMSSM, we then consider the natural MSSM and check the region of parameter space consistent with the correct Higgs mass against CCB minima at T /= 0. We find that regions of parameter space with CCB minima overlap significantly with that reproducing the correct Higgs mass. When thermal eff are considered the majority of such points are then found to have a desired symmetry breaking minimum with very low survival probability. In both these studies we find that analytical conditions presented in the literature fail in dis- criminating regions of parameter space with CCB minima. We also present a way of adapting our framework so that it runs quickly enough for use with parameter fit studies.
Lastly we show a different example of using vacuum stability in a phenomenological study. For the BLSSM we investigate the violation of R-parity through sneutrino VEVs and where in parameter space does this happen. We find that previous analyses in literature fail to identify regions with R-parity conservation by comparing their results to our full numerical analysis.