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The abilities to comprehend and critically evaluate scientific texts and the various arguments stated in these texts are an important aspect of scientific literacy, but these competences are usually not formally taught to students. Previous research indicates that, although undergraduate students evaluate the claims and evidence they find in scientific
documents to some extent, these evaluations usually fail to meet normative standards. In addition, students’ use of source information for evaluation is often insufficient. The rise of the internet and the increased accessibility of information have yielded some additional challenges that highlight the importance of adequate training and instruction.The aim of the present work was to further examine introductory students’ competences to systematically and heuristically evaluate scientific information, to identify relevant strategies that are involved in a successful evaluation, and to use this knowledge to design appropriate interventions for fostering epistemic competences in university students.To this end, a number of computer-based studies, including both quantitative and qualitative data as well as experimental designs, were developed. The first two studies were designed to specify educational needs and to reveal helpful processing strategies that are required in different tasks and situations. Two expert-novice comparisons were developed, whereby the performance of German students of psychology (novices) was compared to the performance of scientists from the domain of psychology (experts) in a number of different tasks, such as systematic plausibility evaluations of informal arguments (Study 1) or heuristic evaluations of the credibility of multiple scientific documents (Study 2). A think-aloud procedure was used
to identify specific strategies that were applied in both groups during task completion, and that possibly mediated performance differences between students and scientists. In addition, relationships between different strategies and between strategy use and relevant conceptual knowledge was examined. Based on the results of the expert-novice comparisons, an intervention study, consisting of two training experiments, was constructed to foster some
competences that proved to be particularly deficient in the comparisons (Study 3). Study 1 examined introductory students’ abilities to accurately judge the plausibility of informal arguments according to normative standards, to recognise common argumentation fallacies, and to identify different structural components of arguments. The results from Study 1 indicate that many students, compared to scientists, lack relevant knowledge about the structure of arguments, and that normatively accurate evaluations of their plausibility seem to be challenging in this group. Often, common argumentation fallacies were not identified correctly. Importantly, these deficits were partly mediated by differences in strategy use: It was especially difficult for students to pay sufficient attention to the relationship between argument components when forming their judgements. Moreover, they frequently relied on their intuition or opinion as a criterion for evaluation, whereas scientists predominantly determined quality of arguments based on their internal consistency.
In addition to students’ evaluation of the plausibility of informal arguments, Study 2 examined introductory students’ competences to evaluate the credibility of multiple scientific texts, and to use source characteristics for evaluation. The results show that students struggled not only to judge the plausibility of arguments correctly, but also to heuristically judge the credibility of science texts, and these deficits were fully mediated by their insufficient use of source information. In contrast, scientists were able to apply different strategies in a flexible manner. When the conditions for evaluation did not allow systematic processing (i.e. time limit), they primarily used source characteristics for their evaluations. However, when
systematic evaluations were possible (i.e. no time limit), they used more sophisticated normative criteria for their evaluations, such as paying attention to the internal consistency of arguments (cf. Study 1). Results also showed that students, in contrast to experts, lacked relevant knowledge about different publication types, and this was related to their ability to correctly determine document credibility. The results from the expert-novice comparisons also suggest that the competences assessed in both tasks might develop as a result of a more fundamental form of scientific literacy and discipline expertise. Performances in all tasks were positively related. On the basis of these results, two training experiments were developed that aimed at fostering university students’ competences to understand and evaluate informal arguments (Study 3). Experiment 1 describes an intervention approach in which students were familiarised with the formal structure of arguments based on Toulmin’s (1958) argumentation model. The performance of the experimental group to identify the structural components of this model was compared to the performance of a control group in which speed reading skills were practiced, using a pre-post-follow-up design. Results show that the training was successful for improving the comprehension of more complex arguments and relational aspects between key components in the posttest, compared to the control group. Moreover, an interaction effect was found with study performance. High achieving students with above average grades profited the most from the training intervention. Experiment 2 showed that
training in plausibility, normative criteria of argument evaluation, and argumentation fallacies improved students’ abilities to evaluate the plausibility of arguments and, in addition, their competences to recognise structural components of arguments, compared to a speed-reading control group. These results have important implications for education and practice, which will be discussed in detail in this dissertation.
The present thesis comprises synthesis and stoichiometric model reactions of well-defined NHC-stabilized copper(I) complexes (NHC = N-heterocyclic carbene) in order to understand their basic reactivity in borylation and cross-coupling reactions. This also includes the investigations of the reactivity of the ligands used (NHCs and CaaCs = cyclic alkyl(amino)carbenes) with the substrates, i.e. diboron(4) esters and arylboronates, which are addressed in the second part of the thesis.
The plant cuticle is a continuous extracellular protective layer covering the outermost surfaces of higher plants that are in contact with the surrounding atmosphere. The primary function of the cuticular lipid membrane, which is mainly composed of biopolymer cutin and cuticular waxes, is to protect the plant organs against uncontrolled water loss. The chemical composition and the biophysical properties of cuticular waxes affect the rate of water diffusion across the cuticle. Fruit transpiration plays an important role in the development and the maintenance of fruit quality. The fruit has been suggested to present better dehydration stress tolerance than the leaf. However, the differences in transpiration and the chemical composition of cuticular waxes between fruit and leaf have yet to be comprehensively investigated.
The present study aims to investigate the water permeability and cuticular wax composition of fruit and leaf cuticles of a wide range of plant species and to elucidate the different roles of the cuticular wax components in the transpiration barrier. To address these objectives, fruit and leaf samples from 17 species were investigated. The cuticular transpiration of intact fruits and astomatous adaxial leaf surfaces and the minimum leaf conductance obtained by leaf drying curves for intact leaves were gravimetrically determined for a variety of plant species. The chemical composition of cuticular waxes of fruits and leaves was thoroughly analysed by gas chromatography with flame ionization and mass spectrometry.
The water permeability of fruits ranged from 3.7 x 10-5 m s-1 (Prunus domestica subsp. syriaca) to 37.4 x 10-5 m s-1 (Coffea arabica), whereas permeability for leaves varied between 1.6 x 10-5 m s-1 (Cornus officinalis) and 4.5 x 10-5 m s-1 (Prunus domestica subsp. syriaca (L.)). The interspecies range of water permeability of fruits was significantly higher than that of leaves. Chemical analyses of the cuticular waxes demonstrated that fatty acids, primary alcohols, n-alkanes, aldehydes and alkyl esters were the predominant very-long-chain aliphatic compound classes of fruit and leaf surfaces. Sterols, such as β-sitosterol and campesterol, and triterpenoids, such as oleanolic acid, ursolic acid, α-amyrin and ß-amyrin, were the major cyclic compound classes in the cuticular wax membrane.
The amount and composition of cuticular waxes of both fruits and leaves varied at an intraspecific level. There were no significant correlations between the total cuticular wax load or the individual cuticular wax composition and the water permeability of fruits or leaves independently or together. After combining the fruit and leaf data set, a significant correlation between the average chain length of very-long-chain aliphatic compounds and permeabilities was detected, i.e. the longer the average chain length, the lower the water permeability.
Interestingly, n-Nonacosane (C29) was abundantly detected in fruit waxes of Rosaceae species. These fruits exhibited a relatively low transpiration level, which was very close to their leaf cuticular permeability. The present study suggests that the lower cuticular permeability of leaves, in comparison to that of fruits, may be attributed to the longer average chain length of aliphatic compounds. The accumulation of total wax, triterpenoids and aliphatic compounds may not contribute to the transpiration barrier directly. The present results are highly consistent with the previous model assumptions for the cuticular structure and transport barrier. Furthermore, this comparative study on leaf and fruit cuticles provides further insights linking the cuticular wax chemistry to the physiological properties of the plant cuticle.
This dissertation is concerned with the empirical investigation of the link between globalization and labor market outcomes as well as the determinants of governmental redistribution, with a special focus on the effects of culture and diversity on the welfare state. In recent years, globalization has been criticized for adverse structural effects, e.g. increasing employment volatility and higher inequality.
Following the introduction, the second chapter investigates the relationship between growing import penetration and manufacturing employment growth in 12 OECD countries between 1995 and 2011, accounting for various model specifications, different measures of import penetration, and alternative estimation strategies. The application of the latest version of the World Input-Output Database (WIOD), which has only recently become available, enables measurement of the effect of increases in imported intermediates according to their country of origin. The findings emphasize a weak positive overall impact of growing trade on manufacturing employment. However, while intermediate inputs from China and the new EU members are substitutes for manufacturing employment in highly developed countries, imports from the EU-27 complement domestic manufacturing production. The three-level mixed model utilized implies that the hierarchical structure of the data plays only a minor role, and controlling for endogeneity leaves the results unchanged.
The findings point to ambiguous effects of globalization on labor market outcomes which increase the demand for equalizing public policies. Accordingly, the following chapter examines the relationship between income inequality and redistribution, accounting for the shape of the income distribution, different development levels, and subjective perceptions. Cross-national inequality datasets that have become available only recently allow for the assessment of the link for various sample compositions and several model specifications. The empirical results confirm the Meltzer-Richard hypothesis, but suggest that the relationship between market inequality and redistribution is even stronger when using perceived inequality measures. The findings emphasize a decisive role of the middle class, while also identifying a negative impact of top incomes. The Meltzer-Richard effect is less pronounced in developing economies with less sophisticated political rights, illustrating that it is the political channel through which higher inequality translates into more redistribution.
Chapter (4) extends the framework developed in the preceding chapter by studying the effects of culture and diversity on governmental redistribution for a large sample of countries. To disentangle culture from institutions, the analysis employs regional instruments as well as data on linguistic differences, the frequency of blood types, and the prevalence of the pathogen Toxoplasma Gondii. Redistribution is higher in countries with (1) loose family ties and individualistic attitudes, (2) a high prevalence of trust and tolerance, (3) low acceptance of unequally distributed power and obedience, and (4) a prevalent belief that success is the result of luck and connections. Apart from their direct effects, these traits also exert an indirect impact by influencing the transmission of inequality to redistribution. Finally, the findings indicate that redistribution and diversity in terms of culture, ethnic groups, and religion stand in a non-linear relationship, where moderate levels of diversity impede redistribution and higher levels offset the generally negative effect.
Purpose: Early identification of aggressive disease could improve decision-support in pancreatic neuroendocrine tumor (pNET) patients prior to peptide receptor radionuclide therapy (PRRT). The prognostic value of intratumoral textural features (TF) determined by baseline somatostatin receptor (SSTR)-PET before PRRT was analyzed.
Procedures: 31 patients with G1/G2 pNET were enrolled (G2, n=23/31). Prior to PRRT with [\(^{177}\)Lu]DOTATATE (mean, 3.6 cycles), baseline SSTR-PET/CT was performed. By segmentation of 162 (median per patient, 5) metastases, intratumoral TF were computed. The impact of conventional PET parameters (SUV\(_{mean/max}\)), imaging-based TF as well as clinical parameters (Ki67, CgA) for prediction of both progression-free (PFS) and overall survival (OS) after PRRT was evaluated.
Results: Within a median follow-up of 3.7y, tumor progression was detected in 21 patients (median, 1.5y) and 13/31 deceased (median, 1.9y). In ROC analysis, the TF Entropy, reflecting derangement on a voxel-by-voxel level, demonstrated predictive capability for OS (cutoff=6.7, AUC=0.71, p=0.02). Of note, increasing Entropy could predict a longer survival (>6.7, OS=2.5y, 17/31), whereas less voxel-based derangement portended inferior outcome (<6.7, OS=1.9y, 14/31). These findings were supported in a G2 subanalysis (>6.9, OS=2.8y, 9/23 vs. <6.9, OS=1.9y, 14/23). Kaplan-Meier analysis revealed a significant distinction between high- and low-risk groups using Entropy (n=31, p<0.05). For those patients below the ROC-derived threshold, the relative risk of death after PRRT was 2.73 (n=31, p=0.04). Ki67 was negatively associated with PFS (p=0.002); however, SUVmean/max failed in prognostication (n.s.).
Conclusions: In contrast to conventional PET parameters, assessment of intratumoral heterogeneity demonstrated superior prognostic performance in pNET patients undergoing PRRT. This novel PET-based strategy of outcome prediction prior to PRRT might be useful for patient risk stratification.
Both prostate-specific membrane antigen (PSMA)- and somatostatin receptor (SSTR)-targeted positron emission tomography (PET) imaging agents for staging and restaging of prostate carcinoma or neuroendocrine tumors, respectively, are seeing rapidly expanding use. In addition to diagnostic applications, both classes of radiotracers can be used to triage patients for theranostic endoradiotherapy. While interpreting PSMA- or SSTR-targeted PET/computed tomography (CT) scans, the reader has to be aware of certain pitfalls. Adding to the complexity of the interpretation of those imaging agents, both normal biodistribution, and also false-positive and -negative findings differ between PSMA- and SSTR-targeted PET radiotracers. Herein summarized under the umbrella term molecular imaging reporting and data systems (MI-RADS), two novel RADS classifications for PSMA- and SSTR-targeted PET imaging are described (PSMA- and SSTR-RADS). Both framework systems may contribute to increase the level of a reader’s confidence and to navigate the imaging interpreter through indeterminate lesions, so that appropriate workup for equivocal findings can be pursued. Notably, PSMA- and SSTR-RADS are structured in a reciprocal fashion, i.e. if the reader is familiar with one system, the other system can readily be applied as well. In the present review we will discuss the most common pitfalls on PSMA- and SSTR-targeted PET/CT, briefly introduce PSMA- and SSTR-RADS, and define a future role of the umbrella framework MI-RADS compared to other harmonization systems.
Background: \(^{18}\)F-N-[3-bromo-4-(3-fluoro-propoxy)-benzyl]-guanidine (\(^{18}\)F-LMI1195) is a new class of PET tracer designed for sympathetic nervous imaging of the heart. The favorable image quality with high and specific neural uptake has been previously demonstrated in animals and humans, but intracellular behavior is not yet fully understood. The aim of the present study is to verify whether it is taken up in storage vesicles and released in company with vesicle turnover.
Results: Both vesicle-rich (PC12) and vesicle-poor (SK-N-SH) norepinephrine-expressing cell lines were used for in vitro tracer uptake studies. After 2 h of \(^{18}\)F-LMI1195 preloading into both cell lines, effects of stimulants for storage vesicle turnover (high concentration KCl (100 mM) or reserpine treatment) were measured at 10, 20, and 30 min. \(^{131}\)I-meta-iodobenzylguanidine (\(^{131}\)I-MIBG) served as a reference. Both high concentration KCl and reserpine enhanced \(^{18}\)F-LMI1195 washout from PC12 cells, while tracer retention remained stable in the SK-N-SH cells. After 30 min of treatment, 18F-LMI1195 releasing index (percentage of tracer released from cells) from vesicle-rich PC12 cells achieved significant differences compared to cells without treatment condition. In contrast, such effect could not be observed using vesicle-poor SK-N-SH cell lines. Similar tracer kinetics after KCl or reserpine treatment were also observed using 131I-MIBG. In case of KCl exposure, Ca\(^{2+}\)-free buffer with the calcium chelator, ethylenediaminetetracetic acid (EDTA), could suppress the tracer washout from PC12 cells. This finding is consistent with the tracer release being mediated by Ca\(^{2+}\) influx resulting from membrane depolarization.
Conclusions: Analogous to \(^{131}\)I-MIBG, the current in vitro tracer uptake study confirmed that \(^{131}\)F-LMI1195 is also stored in vesicles in PC12 cells and released along with vesicle turnover. Understanding the basic kinetics of \(^{18}\)FLMI1195 at a subcellular level is important for the design of clinical imaging protocols and imaging interpretation.
Aims: Although mortality rate is very high, diagnosis of acute myocarditis remains challenging with conventional tests. We aimed to elucidate the potential role of longitudinal 2-Deoxy-2-\(^{18}\)F-fluoro-D-glucose (\(^{18}\)F-FDG) positron emission tomography (PET) inflammation monitoring in a rat model of experimental autoimmune myocarditis.
Methods and results: Autoimmune myocarditis was induced in Lewis rats by immunizing with porcine cardiac myosin emulsified in complete Freund’s adjuvant. Time course of disease was assessed by longitudinal \(^{18}\)F-FDG PET imaging. A correlative analysis between in- and ex vivo \(^{18}\)F-FDG signalling and macrophage infiltration using CD68 staining was conducted. Finally, immunohistochemistry analysis of the cell-adhesion markers CD34 and CD44 was performed at different disease stages determined by longitudinal \(^{18}\)F-FDG PET imaging. After immunization, myocarditis rats revealed a temporal increase in 18F-FDG uptake (peaked at week 3), which was followed by a rapid decline thereafter. Localization of CD68 positive cells was well correlated with in vivo \(^{18}\)F-FDG PET signalling (R\(^2\) = 0.92) as well as with ex vivo 18F-FDG autoradiography (R\(^2\) = 0.9, P < 0.001, respectively). CD44 positivity was primarily observed at tissue samples obtained at acute phase (i.e. at peak 18F-FDG uptake), while CD34-positive staining areas were predominantly identified in samples harvested at both sub-acute and chronic phases (i.e. at \(^{18}\)F-FDG decrease).
Conclusion: \(^{18}\)F-FDG PET imaging can provide non-invasive serial monitoring of cardiac inflammation in a rat model of acute myocarditis.
Platelet activation and aggregation at sites of vascular injury is critical to prevent excessive blood loss, but may also lead to life-threatening ischemic diseases, such as myocardial infarction and stroke. Extracellular agonists induce platelet activation by stimulation of platelet membrane receptors. Signal transduction results in reorganization of the cytoskeleton, shape change, platelet adhesion and aggregation, cumulating in thrombus formation. Several Rho GTPases, including Rac1, Cdc42 and RhoA, are essential mediators of subsequent intracellular transduction of ITAM- and GPCR-signaling. Therefore, inhibition or knockout can result in severely defective platelet signaling.
Mice with platelet specific Rac1-deficiency are protected from arterial thrombosis. This benefit highlights further investigation of Rac1-specific functions and its potential as a new pharmacological target for prevention of cardiovascular diseases. Two newly developed synthetic compounds, NSC23766 and EHT1864, were proposed to provide highly specific inhibition of Rac1 activity, but both drugs have never been tested in Rac1-deficient cell systems to rule out potential Rac1-independent effects.
This study revealed significant off-target effects of NSC23766 and EHT1864 that occurred in a dose-dependent fashion in both wild-type and Rac1-deficient platelets. Both inhibitors individually affected resting platelets after treatment, either by altering membrane protein expression (NSC23766) or by a marked decrease of platelet viability (EHT1864). Platelet apoptosis could be confirmed by enhanced levels of phosphatidylserine exposure and decreased mitochondrial membrane potential. Phosphorylation studies of the major effector proteins of Rac1 revealed that NSC23766 and EHT1864 abolish PAK1/PAK2 activation independently of Rac1 in wild-type and knockout platelets, which may contribute to the observed off-target effects.
Additionally, this study demonstrated the involvement of Rac1 in G protein-coupled receptor-mediated platelet activation and GPIb-induced signaling. Furthermore, the data revealed that Rac1 is dispensable in the process of integrin IIb 3-mediated clot retraction.
This study unveiled that new pharmacological approaches in antithrombotic therapy with Rac1 as molecular target have to be designed carefully in order to obtain high specificity and minimize potential off-target effects.
In this work, functional plasmonic nanocircuitry is examined as a key of revolutionizing state-of-the-art electronic and photonic circuitry in terms of integration density and transmission bandwidth. In this context, numerical simulations enable the design of dedicated devices, which allow fundamental control of photon flow at the nanometer scale via single or multiple plasmonic eigenmodes. The deterministic synthesis and in situ analysis of these eigenmodes is demonstrated and constitutes an indispensable requirement for the practical use of any device. By exploiting the existence of multiple eigenmodes and coherence - both not accessible in classical electronics - a nanoscale directional coupler for the ultrafast spatial and spatiotemporal coherent control of plasmon propagation is conceived. Future widespread application of plasmonic nanocircuitry in quantum technologies is boosted by the promising demonstrations of spin-optical and quantum plasmonic nanocircuitry.
In this work the energy transfer and excitonic coupling in different chromophore arrangements were investigated. A difference in the coupling strength was introduced by varring the connecting unit and the spacial orientation relative to each other.
The synthesis of the 2,7-substituted pyrene compounds could be optimised and good yields of HAB 1 and HAB 2 and small amounts of HAB 2 could be achieved by cobalt-catalysed trimerisation or Diels Alder reaction in the end. Absorption and fluorescence spectra reveal strong intramolecular interactions between the pyrene molecules in the HAB 1. Excitation spectra recorded at the high and low energy fluorescence suggest the contribution of two components to the spectra. One being similar to the ground state aggregate and a second species similar to undisturbed pyrene. All these feature can be accounted to two different fluorescent states which are due to electronical decoupling in the excited state. Due to the strong intramolecular coupling already in the ground state of the molecule, no energy transfer could be studied, as the six pyrene units cannot be seen as separate spectroscopic entities between which energy could be transferred.
In the second part of this thesis dye conjugates of different size and alignment were synthesised to study the interaction of the transition-dipole moments. Therefore a systematic investigation of Sonogashira conditions was performed in order to obtain good yields of the desired compounds and keep dehalogenation at a minimum level. Nevertheless only the symmetrical triads could be purified as the asymmeric triads and pentades proved to decompose during purification.
The pyrene containing triads Py2B and Py2SQB show small interactions already in the ground state represented by red shifts of the spectra and a broadening of the bands. Nevertheless, these interactions are in the weak coupling regime and energy transfer between the constituents is possible. On the contrary in the TA spectra it is obvious that always the whole triad, at least to some extend is excited. To question if the excitation of the high energy state is deactivated by energy transfer or rather IC in a superchromophore could not be distinguished in the course of this work. At present additional time-dependent calculations of the dynamics are in progress to get a deeper understanding of the photophysical processes taking place in the triads.
The dye conjugates B2SQB-3 and (SQB)2B-4 can be assigned to the strong interaction range and hence are describable by exciton theory. The transition-dipole moments proved to be more than additive and increase for both compounds from absorption to fluorescence. This can be explained by an enhancement of the coupling in the relaxed excited state compared to the absorption into the Franck-Condon state due to a more steep potential energy surface in the excited state and hence smaller fluctuations.
In the last part of this thesis the influence of disrupting electronical communication by implementing a rigid non-conjugated bridge in a bichromophoric trans-squaraine system was tested. While the flexible linked squaraines show complex spectra due to different conformers the SQA2Anth compound is rigified and no rotation is possible. This change in flexibility is represented in the steady-state spectra where just one main absorption and fluorescence band is present due to a single allowed excitonic state. The system proves to own an excited state that is completely delocalised over the whole molecule.
The present work investigates the influence of environmental stimuli on the building behavior of workers of the leaf-cutting ant Atta vollenweideri. It focuses on cues related to the airflow-driven ventilation of their giant underground nests, i.e., air movements and their direction, carbon dioxide concentrations and humidity levels of the nest air. First, it is shown that workers are able to use airflow and its direction as learned orientation cue by performing learning experiments with individual foragers using a classical conditioning paradigm. This ability is expected to allow workers to also navigate inside the nest tunnels using the prevailing airflow directions for orientation, for example during tasks related to nest construction and climate control.
Furthermore, the influence of carbon dioxide on the digging behavior of workers is investigated. While elevated CO2 levels hardly affect the digging rate of the ants, workers prefer to excavate at locations with lower concentrations and avoid higher CO2 levels when given a choice. Under natural conditions, shifting their digging activity to soil layers containing lower carbon dioxide levels might help colonies to excavate new or to broaden existing nest openings, if the CO2 concentration in the underground rises.
It is also shown that workers preferably transport excavated soil along tunnels containing high CO2 concentrations, when carbon dioxide levels in the underground are elevated as well. In addition, workers prefer to carry soil pellets along outflow tunnels instead of inflow tunnels, at least for high humidity levels of the air. The material transported along tunnels providing outflow of CO2-rich air might be used by workers for the construction of ventilation turrets on top of the nest mound, which is expected to promote the wind-induced ventilation and the removal of carbon dioxide from the underground.
The climatic conditions inside the nest tunnels also influence the structural features of the turrets constructed by workers on top the nest. While airflow and humidity have no effect on turret structure, outflow of CO2-rich air from the nest causes workers to construct turrets with additional openings and increased aperture, potentially enhancing the airflow-driven gas exchanges within the nest.
Finally, the effect of airflow and ventilation turrets on the gas exchanges in Atta vollenweideri nests is tested experimentally on a physical model of a small nest consisting of a single chamber and two nest tunnels. The carbon dioxide clearance rate from the underground was measured depending on both the presence of airflow in the nest and the structural features of the built turrets. Carbon dioxide is removed faster from the physical nest model when air moves through the nest, confirming the contribution of wind-induced flow inside the nest tunnels to the ventilation of Atta vollenweideri nests. In addition, turrets placed on top of one of the tunnel openings of the nest further enhance the CO2 clearance rate and the effect is positively correlated with turret aperture.
Taken together, climatic variables like airflow, carbon dioxide and humidity levels strongly affect the building responses of Atta vollenweideri leaf-cutting ants. Workers use these environmental stimuli as orientation cue in the nest during tasks related to excavation, soil transport and turret construction. Although the effects of these building responses on the microclimatic conditions inside the nest remain elusive so far, the described behaviors are expected to allow ant colonies to restore and maintain a proper nest climate in the underground.
RNA sequencing (RNA-seq) has in recent years become the preferred method for gene expression analysis and whole transcriptome annotation. While initial RNA-seq experiments focused on eukaryotic messenger RNAs (mRNAs), which can be purified from the cellular ribonucleic acid (RNA) pool with relative ease, more advanced protocols had to be developed for sequencing of microbial transcriptomes. The resulting RNA-seq data revealed an unexpected complexity of bacterial transcriptomes and the requirement for specific analysis methods, which in many cases is not covered by tools developed for processing of eukaryotic data.
The aim of this thesis was the development and application of specific data analysis methods for different RNA-seq-based approaches used to gain insights into transcription and gene regulatory processes in prokaryotes.
The differential RNA sequencing (dRNA-seq) approach allows for transcriptional start site (TSS) annotation by differentiating between primary transcripts with a 5’-triphosphate (5’-PPP) and processed transcripts with a 5’-monophosphate (5’-P). This method was applied in combination with an automated TSS annotation tool to generate global trancriptome maps for Escherichia coli (E. coli) and Helicobacter pylori (H. pylori).
In the E. coli study we conducted different downstream analyses to gain a deeper understanding of the nature and properties of transcripts in our TSS map. Here, we focused especially on putative antisense RNAs (asRNAs), an RNA class transcribed from the opposite strand of known protein-coding genes with the potential to regulate corresponding sense transcripts. Besides providing a set of putative asRNAs and experimental validation of candidates via Northern analysis, we analyzed and discussed different sources of variation in RNA-seq data.
The aim of the H. pylori study was to provide a detailed description of the dRNA-seq approach and its application to a bacterial model organism. It includes information on experimental protocols and requirements for data analysis to generate a genome-wide TSS map. We show how the included TSS can be used to identify and analyze transcriptome and regulatory features and discuss challenges in terms oflibrary preparation protocols, sequencing platforms, and data analysis including manual and automated TSS annotation.
The TSS maps and associated transcriptome data from both H. pylori and E. coli were made available for visualization in an easily accessible online browser.
Furthermore, a modified version of dRNA-seq was used to identify transcriptome targets of the RNA pyrophosphohydrolase (RppH) in H. pylori. RppH initiates 5’-end-dependent degradation of transcripts by converting the 5’-PPP of primary transcripts to a 5’-P. I developed an analysis method, which uses data from complementary DNA (cDNA) libraries specific for transcripts carrying a 5’-PPP, 5’-P or both, to specifically identify transcripts modified by RppH. For this, the method assessed the 5’-phosphorylation state and cellular concentration of transcripts in rppH deletion in comparison to strains with the intact gene. Several of the identified potential RppH targets were further validated via half-life measurements and quantification of their 5’-phosphorylation state in wild-type and mutant cells. Our findings suggest an important role for RppH in post-transcriptional gene regulationin H. pylori and related organisms.
In addition, we applied two RNA-seq -based approaches, RNA immunoprecipitation followed by sequencing (RIP-seq) and cross-linking immunoprecipitation followed by sequencing (CLIP-seq), to identify transcripts bound by Hfq and CsrA, two RNA-binding proteins (RBPs) with an important role in post-transcriptional regulation.
For RIP-seq -based identification of CsrA binding regions in Campylobacter jejuni(C. jejuni), we used annotation-based analysis and, in addition, a self-developed peak calling method based on a sliding window approach. Both methods revealed flaA mRNA, encoding the major flagellin, as the main target and functional analysis of identified targets showed a significant enrichment of genes involved in flagella biosynthesis. Further experimental analysis revealed the role of flaA mRNA in post-transcriptional regulation. In comparison to RIP-seq, CLIP-seq allows mapping of RBP binding sites with a higher resolution. To identify these sites an approach called “block-based peak calling” was developed and resulting peaks were used to identify sequence and structural constraints required for interaction of Hfq and CsrA with Salmonella transcripts.
Overall, the different RNA-seq-based approaches described in this thesis together with their associated analyis pipelines extended our knowledge on the transcriptional repertoire and modes of post-transcriptional regulation in bacteria. The global TSS maps, including further characterized asRNA candidates, putative RppH targets, and identified RBP interactomes will likely trigger similar global studies in the same or different organisms or will be used as a resource for closer examination of these features.
Bacterial functional membrane microdomains (FMMs) are membrane platforms that resemble lipid rafts of eukaryotic cells in certain functional and structural aspects. Lipid rafts are nanometer-sized, dynamic clusters of proteins and lipids in eukaryotic cell membranes that serve as signaling hubs and assembling platforms. Yet, studying these structures can often be hampered by the complexity of a eukaryotic cell. Thus, the analogous structures of prokaryotes are an attractive model to study molecular traits of this type of membrane organization.
Similar to eukaryotic lipid rafts, the bacterial FMMs are comprised of polyisoprenoid lipids, scaffold proteins and a distinct set of membrane proteins, involved in signaling or secretion. Investigating bacterial FMMs not only contributes to the understanding of the physiological importance of FMMs in bacteria, but also helps to elucidate general principles of rafts beyond prokaryotes.
In this work, a bacterial model organism was used to investigate effects of synthetic overproduction of the raft scaffolding proteins on bacterial physiology. This overexpression causes an unusual stabilization of the FMM-harbored protease FtsH and therefore the proteolytic targets of FtsH are not correctly regulated. Developmental defects and aberrances in shape are the consequence, which in turn negatively affects cell physiology. These findings may be adapted to better understand lipid raft processes in humans, where flotillin upregulation is detected along with development of neurological diseases.
Moreover, it was aimed at understanding the FMM-proteome of the human pathogen Staphylococcus aureus. An in-depth quantitative mass-spectrometry analysis reveals adaption of the protein cargo during different conditions, while maintaining a distinct set of core FMM proteins. As a case study, the assembly of the type VII secretion system was shown to be dependent on FMM integrity and more specifically on the activity of the FMM-scaffold flotillin. This secretion system is important for the virulence of this pathogen and its secretion efficiency can be targeted by small molecules that inhibit flotillin activity. This opens new venues for non-conventional antimicrobial compounds to treat staphylococcal infections.
Anxiety and depressive disorders result from a complex interplay of genetic and environmental factors and are common mutual comorbidities. On the level of cellular signaling, regulator of G protein signaling 2 (Rgs2) has been implicated in human and rodent anxiety as well as rodent depression. Rgs2 negatively regulates G protein-coupled receptor (GPCR) signaling by acting as a GTPase accelerating protein towards the Gα subunit.
The present study investigates, whether mice with a homozygous Rgs2 deletion (Rgs2-/-) show behavioral alterations as well as an increased susceptibility to stressful life events related to human anxiety and depressive disorders and tries to elucidate molecular underlying’s of these changes.
To this end, Rgs2-/- mice were characterized in an aversive-associative learning paradigm to evaluate learned fear as a model for the etiology of human anxiety disorders. Spatial learning and reward motivated spatial learning were evaluated to control for learning in non-aversive paradigms. Rgs2 deletion enhanced learning in all three paradigms, rendering increased learning upon deletion of Rgs2 not specific for aversive learning. These data support reports indicating increased long-term potentiation in Rgs2-/- mice and may predict treatment response to conditioning based behavior therapy in patients with polymorphisms associated with reduced RGS2 expression. Previous reports of increased innate anxiety were corroborated in three tests based on the approach-avoidance conflict. Interestingly, Rgs2-/- mice showed novelty-induced hypo-locomotion suggesting neophobia, which may translate to the clinical picture of agoraphobia in humans and reduced RGS2 expression in humans was associated with a higher incidence of panic disorder with agoraphobia. Depression-like behavior was more distinctive in female Rgs2-/- mice. Stress resilience, tested in an acute and a chronic stress paradigm, was also more distinctive in female Rgs2-/- mice, suggesting Rgs2 to contribute to sex specific effects of anxiety disorders and depression.
Rgs2 deletion was associated with GPCR expression changes of the adrenergic, serotonergic, dopaminergic and neuropeptide Y systems in the brain and heart as well as reduced monoaminergic neurotransmitter levels. Furthermore, the expression of two stress-related microRNAs was increased upon Rgs2 deletion. The aversive-associative learning paradigm induced a dynamic Rgs2 expression change. The observed molecular changes may contribute to the anxious and depressed phenotype as well as promote altered stress reactivity, while reflecting an alter basal stress level and a disrupted sympathetic tone. Dynamic Rgs2 expression may mediate changes in GPCR signaling duration during memory formation.
Taken together, Rgs2 deletion promotes increased anxiety-like and depression-like behavior, altered stress reactivity as well as increased cognitive function.
BACKGROUND. Prostate cancer (PCa) remains a major health concern in men of the Western World. However, we still lack effective diagnostic tools a) for an effective screening with both high sensitivity and specificity, b) to guide biopsies and avoid histology sampling errors and c) to predict tumor aggressiveness in order to avoid overtreatment. Therefore, a more reliable, highly cancer-specific and ideally in vivo approach is needed. The present study has been designed in order to further develop and test the method of "metabolomic imaging" using magnetic resonance spectroscopy (MRS) at 7T to address those challenges.
METHODS. Thirty whole prostates with biopsy-proven PCa were in vitro analyzed with a 7T human MR scanner. A voxel grid containing the spectral information was overlaid with the MR image of the middle transverse cross-sectional plane of each case. Subsequent histopathological evaluation of the prostate specimen followed. After the spectral output was processed, all voxels were compared with a metabolomic PCa profile, which had been established within a preliminary study, in order to create a metabolomic map indicating MRS cancer-suspicious regions. Those regions were compared with the histologically identified tumor lesions regarding location.
RESULTS. Sixty-one percent of the histological cancer lesions were detected by metabolomic imaging. Among the cases with PCa on the examined slice, 75% were identified as cancerous. None of the tested features significantly differed between detected and undetected cancer lesions. A defined "Malignancy Index" (MI) significantly differentiated between MRS-suspicious lesions corresponding with a histological cancer lesion and benign lesions (p = 0.006) with an overall accuracy of 70%. The MI furthermore showed a positive correlation with the Gleason grade (p = 0.021).
CONCLUSION. A new approach within PCa diagnostics was developed with spectral analysis including the whole measureable metabolome - referred to as "metabolomics" - rather than focusing on single metabolites. The MI facilitates precise tumor detection and may additionally serve as a marker for tumor aggressiveness. Metabolomic imaging might contribute to a highly cancer-specific in vivo diagnostic protocol for PCa.
Neurobiology is widely supported by bioinformatics. Due to the big amount of data generated from the biological side a computational approach is required. This thesis presents four different cases of bioinformatic tools applied to the service of Neurobiology.
The first two tools presented belong to the field of image processing. In the first case, we make use of an algorithm based on the wavelet transformation to assess calcium activity events in cultured neurons. We designed an open source tool to assist neurobiology researchers in the analysis of calcium imaging videos. Such analysis is usually done manually which is time consuming and highly subjective. Our tool speeds up the work and offers the possibility of an unbiased detection of the calcium events. Even more important is that our algorithm not only detects the neuron spiking activity but also local spontaneous activity which is normally discarded because it is considered irrelevant. We showed that this activity is determinant in the calcium dynamics in neurons and it is involved in important functions like signal modulation and memory and learning.
The second project is a segmentation task. In our case we are interested in segmenting the neuron nuclei in electron microscopy images of c.elegans. Marking these structures is necessary in order to reconstruct the connectome of the organism. C.elegans is a great study case due to the simplicity of its nervous system (only 502 neurons). This worm, despite its simplicity has taught us a lot about neuronal mechanisms. There is still a lot of information we can extract from the c.elegans, therein lies the importance of reconstructing its connectome. There is a current version of the c.elegans connectome but it was done by hand and on a single subject which leaves a big room for errors. By automatizing the segmentation of the electron microscopy images we guarantee an unbiased approach and we will be able to verify the connectome on several subjects.
For the third project we moved from image processing applications to biological modeling. Because of the high complexity of even small biological systems it is necessary to analyze them with the help of computational tools. The term in silico was coined to refer to such computational models of biological systems. We designed an in silico model of the TNF (Tumor necrosis factor) ligand and its two principal receptors. This biological system is of high relevance because it is involved in the inflammation process. Inflammation is of most importance as protection mechanism but it can also lead to complicated diseases (e.g. cancer). Chronic inflammation processes can be particularly dangerous in the brain. In order to better understand the dynamics that govern the TNF system we created a model using the BioNetGen language. This is a rule based language that allows one to simulate systems where multiple agents are governed by a single rule. Using our model we characterized the TNF system and hypothesized about the relation of the ligand with each of the two receptors. Our hypotheses can be later used to define drug targets in the system or possible treatments for chronic inflammation or lack of the inflammatory response.
The final project deals with the protein folding problem. In our organism proteins are folded all the time, because only in their folded conformation are proteins capable of doing their job (with some very few exceptions). This folding process presents a great challenge for science because it has been shown to be an NP problem. NP means non deterministic Polynomial time problem. This basically means that this kind of problems cannot be efficiently solved. Nevertheless, somehow the body is capable of folding a protein in just milliseconds. This phenomenon puzzles not only biologists but also mathematicians. In mathematics NP problems have been studied for a long time and it is known that given the solution to one NP problem we could solve many of them (i.e. NP-complete problems). If we manage to understand how nature solves the protein folding problem then we might be able to apply this solution to many other problems. Our research intends to contribute to this discussion. Unfortunately, not to explain how nature solves the protein folding problem, but to explain that it does not solve the problem at all. This seems contradictory since I just mentioned that the body folds proteins all the time, but our hypothesis is that the organisms have learned to solve a simplified version of the NP problem. Nature does not solve the protein folding problem in its full complexity. It simply solves a small instance of the problem. An instance which is as simple as a convex optimization problem. We formulate the protein folding problem as an optimization problem to illustrate our claim and present some toy examples to illustrate the formulation. If our hypothesis is true, it means that protein folding is a simple problem. So we just need to understand and model the conditions of the vicinity inside the cell at the moment the folding process occurs. Once we understand this starting conformation and its influence in the folding process we will be able to design treatments for amyloid diseases such as Alzheimer's and Parkinson's.
In summary this thesis project contributes to the neurobiology research field from four different fronts. Two are practical contributions with immediate benefits, such as the calcium imaging video analysis tool and the TNF in silico model. The neuron nuclei segmentation is a contribution for the near future. A step towards the full annotation of the c.elegans connectome and later for the reconstruction of the connectome of other species. And finally, the protein folding project is a first impulse to change the way we conceive the protein folding process in nature. We try to point future research in a novel direction, where the amino code is not the most relevant characteristic of the process but the conditions within the cell.
B≡N and B≡B triple bonds induce C-H activation of acetone to yield a (2-propenyloxy)aminoborane and an unsymmetrical 1-(2- propenyloxy)-2-hydrodiborene, respectively. DFT calculations showed that, despite their stark electronic differences, both the B≡N and B≡B triple bonds activate acetone via a similar coordination-deprotonation mechansim. In contrast, the reaction of acetone with a cAAC-supported diboracumulene yielded a unique 1,2,3-oxadiborole, which according to DFT calculations also proceeds via an unsymmetrical diborene, followed by intramolecular hydride migration and a second C-H activation of the enolate ligand.
CO\(_2\) is found to undergo room-temperature, ambient- pressure reactions with two species containing boron-boron multiple bonds, leading to incorporation of either one or two CO\(_2\) molecules. In one case, a thermally-unstable intermediate was structurally characterized, indicating the operation of an initial 2+2 cycloaddition mechanism in the reaction.
Reaction of bis-catecholatodiboron-NHC adducts, B\(_2\)Cat\(_2\)(NHC), (NHC = IMe (tetramethylimidazol-2-ylidene), IMes (1,3-dimesitylimidazol-2-ylidene) or IDIPP (1,3-bis(2,6-diisopropylphenyl)imidazol-2-ylidene)) with BCl3 results in the replacement of the catecholato group bound to the four coordinate boron with two chlorides to yield diboron(5) Lewis acid-base adducts of formula CatB-BCl\(_2\)(NHC). These compounds are precursors to diboron(5) monocations, accessed by adding AlCl\(_3\) or K[B(C\(_6\)F\(_5\))\(_4\)] as halide abstraction agents in the presence of a Lewis base. The substitution of the chlorides of CatB-BCl\(_2\)(NHC) for hydrides is achieved using Bu\(_3\)SnH and a halide abstracting agent to form 1,1-dihydrodiboron(5) compounds, CatB-BH\(_2\)(NHC). Attempts to generate diboron(4) monocations of formula [CatB-B(Y)(NHC)]\(^+\) (Y = Cl or H) led to the rapid formation of CatBY.
The two-fold reduction of (cAAC)BHX\(_2\) (cAAC = 1-(2,6-diisopropylphenyl)-3,3,5,5-tetramethylpyrrolidin-2-ylidene; X = Cl, Br) provides a facile, high-yielding route to the dihydrodiborene (cAAC)\(_2\)B\(_2\)H\(_2\). The (chloro)hydroboryl anion reduction intermediate was successfully isolated using a crown ether. Overreduction of the diborene to its dianion [(cAAC)\(_2\)B\(_2\)H\(_2\)]\(^{2−}\) causes a decrease in the B–B bond order whereas the B–C bond orders increase.
We aimed to explore the impact of ageing on 11C-Hydroxyephedrine (11C-HED) uptake in the healthy rat heart in a longitudinal setting. To investigate a potential cold mass effect, the influence of specific activity on cardiac 11C-HED uptake was evaluated: 11C-HED was synthesized by N-methylation of (−)-metaraminol as the free base (radiochemical purity >95%) and a wide range of specific activities (0.2–141.9 GBq/μmol) were prepared. \(^{11}\)C-HED (48.7±9.7MBq, ranged 0.2–60.4μg/kg cold mass) was injected in healthy Wistar Rats. Dynamic 23-frame PET images were obtained over 30 min. Time activity curves were generated for the blood input function and myocardial tissue. Cardiac 11C-HED retention index (%/min) was calculated as myocardial tissue activity at 20-30 min divided by the integral of the blood activity curves. Additionally, the impact of ageing on myocardial 11CHED uptake was investigated longitudinally by PET studies at different ages of healthy Wistar Rats. A dose-dependent reduction of cardiac 11C-HED uptake was observed: The estimated retention index as a marker of norepinephrine function decreased at a lower specific activity (higher amount of cold mass). This observed high affinity of 11C-HED to the neural norepinephrine transporter triggered a subsequent study: In a longitudinal setting, the 11C-HED retention index decreased with increasing age. An age-related decline of cardiac sympathetic innervation could be demonstrated. The herein observed cold mass effect might increase in succeeding scans and therefore, 11C-HED microPET studies should be planned with extreme caution if one single radiosynthesis is scheduled for multiple animals.
A key functionality of cloud systems are automated resource management mechanisms at the infrastructure level. As part of this, elastic scaling of allocated resources is realized by so-called auto-scalers that are supposed to match the current demand in a way that the performance remains stable while resources are efficiently used.
The process of rating cloud infrastructure offerings in terms of the quality of their achieved elastic scaling remains undefined. Clear guidance for the selection and configuration of an auto-scaler for a given context is not available. Thus, existing operating solutions are optimized in a highly application specific way and usually kept undisclosed.
The common state of practice is the use of simplistic threshold-based approaches. Due to their reactive nature they incur performance degradation during the minutes of provisioning delays. In the literature, a high-number of auto-scalers has been proposed trying to overcome the limitations of reactive mechanisms by employing proactive prediction methods.
In this thesis, we identify potentials in automated cloud system resource management and its evaluation methodology. Specifically, we make the following contributions:
We propose a descriptive load profile modeling framework together with automated model extraction from recorded traces to enable reproducible workload generation with realistic load intensity variations. The proposed Descartes Load Intensity Model (DLIM) with its Limbo framework provides key functionality to stress and benchmark resource management approaches in a representative and fair manner.
We propose a set of intuitive metrics for quantifying timing, stability and accuracy aspects of elasticity. Based on these metrics, we propose a novel approach for benchmarking the elasticity of Infrastructure-as-a-Service (IaaS) cloud platforms independent of the performance exhibited by the provisioned underlying resources.
We tackle the challenge of reducing the risk of relying on a single proactive auto-scaler by proposing a new self-aware auto-scaling mechanism, called Chameleon, combining multiple different proactive methods coupled with a reactive fallback mechanism.
Chameleon employs on-demand, automated time series-based forecasting methods to predict the arriving load intensity in combination with run-time service demand estimation techniques to calculate the required resource consumption per work unit without the need for a detailed application instrumentation. It can also leverage application knowledge by solving product-form queueing networks used to derive optimized scaling actions. The Chameleon approach is first in resolving conflicts between reactive and proactive scaling decisions in an intelligent way.
We are confident that the contributions of this thesis will have a long-term impact on the way cloud resource management approaches are assessed. While this could result in an improved quality of autonomic management algorithms, we see and discuss arising challenges for future research in cloud resource management and its assessment methods: The adoption of containerization on top of virtual machine instances introduces another level of indirection. As a result, the nesting of virtual resources increases resource fragmentation and causes unreliable provisioning delays. Furthermore, virtualized compute resources tend to become more and more inhomogeneous associated with various priorities and trade-offs. Due to DevOps practices, cloud hosted service updates are released with a higher frequency which impacts the dynamics in user behavior.
Platelet aggregation at sites of vascular injury is essential to limit posttraumatic blood loss, but may also cause acute ischemic disease states such as myocardial infarction or stroke. Stable thrombus formation requires a series of molecular events involving platelet receptors and intracellular signal transduction, which contribute to adhesion, activation and aggregation of platelets. In this thesis, the cellular regulation of platelet surface receptors and their involvement in thrombus formation was investigated using genetically modified mice.
In the first part of the study, the functional relevance of the immunoreceptor tyrosine-based activation motif (ITAM)-coupled collagen receptor GPVI and of the recently identified hemITAM-bearing C-type lectin-like receptor 2 (CLEC-2) for in vivo thrombus formation was analyzed. Megakaryocyte/ platelet-specific CLEC-2 knock out mice displayed a defective lymphatic development and were protected from occlusive arterial thrombus formation. These phenotypes were more pronounced in mice with a GPVI/CLEC-2 double deficiency. Hemostasis was not compromised in CLEC-2 or GPVI single-deficient animals, as they showed only mildly prolonged tail bleeding times. Combined depletion of both receptors resulted in markedly prolonged bleeding times revealing an unexpected redundant function of the two receptors in hemostasis as well as thrombosis. These findings might have important implications for the development of anti-CLEC-2/ anti-GPVI agents as therapeutics.
In the second part, mechanisms underlying the cellular regulation of CLEC-2 were studied. Previous studies have shown that injection of the anti-CLEC-2 antibody INU1 results in complete immunodepletion of platelet CLEC-2 in mice, which is preceded by a severe transient thrombocytopenia thereby limiting its potential therapeutic use. It is demonstrated that INU1-induced CLEC-2 immunodepletion occurs through Src family kinase (SFK)-dependent receptor internalization in vitro and in vivo, presumably followed by intracellular degradation. In mice with spleen tyrosine kinase (Syk) deficiency, INU1-induced CLEC-2 internalization/ degradation was fully preserved, whereas the associated thrombocytopenia was largely prevented. These results show that CLEC-2 can be downregulated from the platelet surface through internalization in vitro and in vivo and that this can be mechanistically uncoupled from the associated antibody-induced thrombocytopenia.
Since INU1 IgG induced a pronounced thrombocytopenia, the in vivo effects of monovalent INU1 F(ab) fragments were analyzed. Very unexpectedly, injection of the F(ab) fragments resulted in widespread thrombus formation leading to persistent neurological deficits of the animals. This intravascular thrombus formation is the result of CLEC-2-dependent platelet activation and aggregation. The mechanism underlying the thrombus formation is still unknown and depends potentially on binding of a yet unidentified ligand to F(ab)-opsonized CLEC-2 on platelets.
The first part of the present work provides an insight into the chemistry of iridium complexes bearing the bis(phosphinite) pincer ligand tBuPOCOP (k3-C6H3-1,3-(OPtBu2)2) towards primary boranes and phosphines as well as phosphine-borane Lewis adducts. It furthermore encloses some more detailed studies on their application as catalyst for the dehydrogenative coupling of the latter compounds. The results presented herein can be divided into three sections:
I. synthesis and characterization of aryl dihydroborate ligated iridium(III) complexes
II. and aryl phosphine coordinated iridium(I) and dihydrido iridium(III) complexes,
III. as well as studies on the reactivity of the parent iridium pincer complexes towards BH3 adducts of primary phosphines, which led to first results in the homogeneous catalytic dehydrocoupling of P-aryl substituted phosphine boranes mediated by such iridium pincer complexes.
The second part of the present work provides an insight into the chemistry of cyclic (alkyl)(amino) carbene-stabilized nickel complexes as well as it encloses some more detailed studies on the properties and reactivity of the free carbenes itself. The results presented herein can be divided into four sections:
I. synthesis and characterization of cyclic (alkyl)(amino) carbene-stabilized nickel carbonyl complexes,
II. which allow the evaluation and quantification of the steric and electronic properties of these cyclic (alkyl)(amino) carbenes,
III. first studies on the reactivity of these novel nickel complexes, and
IV. investigations on C–F and C–H bond activation at the carbene center of cyclic (alkyl)(amino) carbenes.
West Africa is one of the fastest growing regions in the world with annual population growth rates of more than three percent for several countries. Since the 1950s, West Africa experienced a fivefold increase of inhabitants, from 71 to 353 million people in 2015 and it is expected that the region’s population will continue to grow to almost 800 million people by the year 2050. This strong trend has and will have serious consequences for food security since agricultural productivity is still on a comparatively low level in most countries of West Africa. In order to compensate for this low productivity, an expansion of agricultural areas is rapidly progressing. The mapping and monitoring of agricultural areas in West Africa is a difficult task even on the basis of remote sensing. The small scale extensive farming practices with a low level of agricultural inputs and mechanization make the delineation of cultivated land from other land cover and land use (LULC) types highly challenging. In addition, the frequent cloud coverage in the region considerably decreases the availability of earth observation datasets. For the accurate mapping of agricultural area in West Africa, high temporal as well as spatial resolution is necessary to delineate the small-sized fields and to obtain data from periods where different LULC types are distinguishable. However, such consistent time series are currently not available for West Africa. Thus, a spatio-temporal data fusion framework was developed in this thesis for the generation of high spatial and temporal resolution time series.
Data fusion algorithms such as the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) enjoyed increasing popularity during recent years but they have hardly been used for the application on larger scales. In order to make it applicable for this purpose and to increase the input data availability, especially in cloud-prone areas such as West Africa, the ESTARFM framework was developed in this thesis introducing several enhancements. An automatic filling of cloud gaps was included in the framework in order to use even partly cloud-covered Landsat images for the fusion without producing gaps on the output images. In addition, the ESTARFM algorithm was improved to automatically account for regional differences in the heterogeneity of the study region. Further improvements comprise the automation of the time series generation as well as the significant acceleration of the processing speed through parallelization. The performance of the developed ESTARFM framework was tested by fusing an 8-day NDVI time series from Landsat and MODIS data for a focus area of 98,000 km² in the border region between Burkina Faso and Ghana. The results of this test show the capability of the ESTARFM framework to accurately produce high temporal resolution time series while maintaining the spatial detail, even in such a heterogeneous and cloud-prone region.
The successfully tested framework was subsequently applied to generate consistent time series as the basis for the mapping of agricultural area in Burkina Faso for the years 2001, 2007, and 2014. In a first step, high temporal (8-day) and high spatial (30 m) resolution NDVI time series for the entire country and the three years were derived with the ESTARFM framework. More than 500 Landsat scenes and 3000 MODIS scenes were automatically processed for this purpose. From the fused ESTARFM NDVI time series, phenological metrics were extracted and together with the single time steps of NDVI served as input for the delineation of rainfed agricultural areas, irrigated agricultural areas and plantations. The classification was conducted with the random forest algorithm at a 30 m spatial resolution for entire Burkina Faso and the three years 2001, 2007, and 2014. For the training and validation of the classifier, a randomly sampled reference dataset was generated from Google Earth images based on expert knowledge of the region. The overall classification accuracies of 92% (2001), 91% (2007), and 91% (2014) indicate the well-functioning of the developed methodology. The resulting maps show an expansion of agricultural area of 91% from about 61,000 km² in 2001 to 116,900 km² in 2014. While rainfed agricultural areas account for the major part of this increase, irrigated areas and plantations also spread considerably. Especially the expansion of irrigation systems and plantation area can be explained by the promotion through various national and international development projects. The increase of agricultural areas goes in line with the rapid population growth in most of Burkina Faso’s provinces which still had available land resources for an expansion of agricultural area. An analysis of the development of agricultural areas in the vicinity of protected areas highlighted the increased human pressure on these reserves. The protection of the remnant habitats for flora and fauna while at the same time improving food security for a rapidly growing population, are the major challenges for the region in the future.
The developed ESTARFM framework showed great potential beyond its utilization for the mapping of agricultural area. Other large-scale research that requires a sufficiently high temporal and spatial resolution such as the monitoring of land degradation or the investigation of land surface phenology could greatly benefit from the application of this framework.
The present thesis considers the modelling of gas mixtures via a kinetic description. Fundamentals about the Boltzmann equation for gas mixtures and the BGK approximation are presented. Especially, issues in extending these models to gas mixtures are discussed. A non-reactive two component gas mixture is considered. The two species mixture is modelled by a system of kinetic BGK equations featuring two interaction terms to account for momentum and energy transfer between the two species. The model presented here contains several models from physicists and engineers as special cases. Consistency of this model is proven: conservation properties, positivity of all temperatures and the H-theorem. The form in global equilibrium as Maxwell distributions is specified. Moreover, the usual macroscopic conservation laws can be derived.
In the literature, there is another type of BGK model for gas mixtures developed by Andries, Aoki and Perthame, which contains only one interaction term. In this thesis, the advantages of these two types of models are discussed and the usefulness of the model presented here is shown by using this model to determine an unknown function in the energy exchange of the macroscopic equations for gas mixtures described in the literature by Dellacherie. In addition, for each of the two models existence and uniqueness of mild solutions is shown. Moreover, positivity of classical solutions is proven.
Then, the model presented here is applied to three physical applications: a plasma consisting of ions and electrons, a gas mixture which deviates from equilibrium and a gas mixture consisting of polyatomic molecules.
First, the model is extended to a model for charged particles. Then, the equations of magnetohydrodynamics are derived from this model. Next, we want to apply this extended model to a mixture of ions and electrons in a special physical constellation which can be found for example in a Tokamak. The mixture is partly in equilibrium in some regions, in some regions it deviates from equilibrium. The model presented in this thesis is taken for this purpose, since it has the advantage to separate the intra and interspecies interactions. Then, a new model based on a micro-macro decomposition is proposed in order to capture the physical regime of being partly in equilibrium, partly not. Theoretical results are presented, convergence rates to equilibrium in the space-homogeneous case and the Landau damping for mixtures, in order to compare it with numerical results.
Second, the model presented here is applied to a gas mixture which deviates from equilibrium such that it is described by Navier-Stokes equations on the macroscopic level. In this macroscopic description it is expected that four physical coefficients will show up, characterizing the physical behaviour of the gases, namely the diffusion coefficient, the viscosity coefficient, the heat conductivity and the thermal diffusion parameter. A Chapman-Enskog expansion of the model presented here is performed in order to capture three of these four physical coefficients. In addition, several possible extensions to an ellipsoidal statistical model for gas mixtures are proposed in order to capture the fourth coefficient. Three extensions are proposed: An extension which is as simple as possible, an intuitive extension copying the one species case and an extension which takes into account the physical motivation of the physicist Holway who invented the ellipsoidal statistical model for one species. Consistency of the extended models like conservation properties, positivity of all temperatures and the H-theorem are proven. The shape of global Maxwell distributions in equilibrium are specified.
Third, the model presented here is applied to polyatomic molecules. A multi component gas mixture with translational and internal energy degrees of freedom is considered. The two species are allowed to have different degrees of freedom in internal energy and are modelled by a system of kinetic ellipsoidal statistical equations. Consistency of this model is shown: conservation properties, positivity of the temperature, H-theorem and the form of Maxwell distributions in equilibrium. For numerical purposes the Chu reduction is applied to the developed model for polyatomic gases to reduce the complexity of the model and an application for a gas consisting of a mono-atomic and a diatomic gas is given.
Last, the limit from the model presented here to the dissipative Euler equations for gas mixtures is proven.
Purpose: Early identification of aggressive disease could improve decision-support in pancreatic neuroendocrine tumor (pNET) patients prior to peptide receptor radionuclide therapy (PRRT). The prognostic value of intratumoral textural features (TF) determined by baseline somatostatin receptor (SSTR)-PET before PRRT was analyzed.
Procedures: 31 patients with G1/G2 pNET were enrolled (G2, n=23/31). Prior to PRRT with [\(^{177}\)Lu]DOTATATE (mean, 3.6 cycles), baseline SSTR-PET/CT was performed. By segmentation of 162 (median per patient, 5) metastases, intratumoral TF were computed. The impact of conventional PET parameters (SUV\(_{mean/max}\)), imaging-based TF as well as clinical parameters (Ki67, CgA) for prediction of both progression-free (PFS) and overall survival (OS) after PRRT was evaluated.
Results: Within a median follow-up of 3.7y, tumor progression was detected in 21 patients (median, 1.5y) and 13/31 deceased (median, 1.9y). In ROC analysis, the TF Entropy, reflecting derangement on a voxel-by-voxel level, demonstrated predictive capability for OS (cutoff=6.7, AUC=0.71, p=0.02). Of note, increasing Entropy could predict a longer survival (>6.7, OS=2.5y, 17/31), whereas less voxel-based derangement portended inferior outcome (<6.7, OS=1.9y, 14/31). These findings were supported in a G2 subanalysis (>6.9, OS=2.8y, 9/23 vs. <6.9, OS=1.9y, 14/23). Kaplan-Meier analysis revealed a significant distinction between high- and low-risk groups using Entropy (n=31, p<0.05). For those patients below the ROC-derived threshold, the relative risk of death after PRRT was 2.73 (n=31, p=0.04). Ki67 was negatively associated with PFS (p=0.002); however, SUVmean/max failed in prognostication (n.s.).
Conclusions: In contrast to conventional PET parameters, assessment of intratumoral heterogeneity demonstrated superior prognostic performance in pNET patients undergoing PRRT. This novel PET-based strategy of outcome prediction prior to PRRT might be useful for patient risk stratification.
The aim of the book is to ground the logical origins of consciousness in what I have previously called the ‘minimal self’. The idea is that elementary forms of consciousness are logically dependent not, as is commonly assumed, on ownership of an anatomical brain or nervous system, but on the intrinsic reflexivity that defines minimal selfhood. The book seeks to trace the logical pathway by which minimal selfhood gives rise to the possible appearance of consciousness. It is argued that in specific circumstances it thus makes sense to ascribe elementary consciousness to certain predatory single-celled organisms such as amoebae and dinoflagellates as well as to some of the simpler animals. Such an argument involves establishing exactly what those specific circumstances are and determining how elementary consciousness differs in nature and scope from its more complex manifestations.
The control of energy homeostasis is of pivotal importance for all living organisms. In the last years emerged the idea that many stress responses that are apparently unrelated, are actually united by a common increase of the cellular energy demand. Therefore, the so called energy signaling is activated by many kind of stresses and is responsible for the activation of the general stress response. In Arabidopsis thaliana the protein family SnF1- related protein kinases (SnRK1) is involved in the regulation of many physiological processes but is more known for its involvement in the regulation of the energy homeostasis in response to various stresses. To the SnRK1 protein family belong SnRK1.1 (also known as KIN10), SnRK1.2 (KIN11), and SnRK1.3 (KIN12). SnRK1 exerts its function regulating directly the activity of metabolic enzymes or those of key transcription factors (TFs). The only TFs regulated by SnRK1 identified so far is the basic leucine zipper (bZIP) 63. bZIP63 belongs to the C group of bZIPs (C-bZIPs) protein family together with bZIP9, bZIP10, and bZIP25. SnRK1.1 phosphorylates bZIP63 on three amino acids residues, serine (S) 29, S294, and S300. The phosphorylation of tbZIP63 is strongly related to the energy status of the plant, shifting from almost absent during the normal growth to strongly phosphorylated when the plant is exposed to extended dark. bZIPs normally bind the DNA as dimer in order to regulate the expression of their target genes. C-bZIPs preferentially form dimers with S1-bZIPs, constituting the so called C/S1- bZIPs network. The SnRk1 dependent phosphorylation of bZIP63 regulates its activation potential and its dimerization properties. In particular bZIP63 shift its dimerization preferences according to its phosphorylation status. The non-phosphorylated form of bZIP63 dimerize bZIP1, the phosphorylates ones, instead, forms dimer with bZIP1, bZIP11, and bZIP63 its self. Together with bZIP63, S1-bZIPs are important mediator of part of the huge transcriptional reprogramming induced by SnRK1 in response to extended dark. S1-bZIPs regulate, indeed, the expression of 4'000 of the 10'000 SnRK1-regulated genes in response to energy deprivation. In particular S1-bZIPs are very important for the regulation of many genes encoding for enzymes involved in the amino acid metabolism and for their use as alternative energy source. After the exposition for some hours to extended dark, indeed, the plant make use of every energy substrate and amino acids are considered an important energy source together with lipids and proteins. Interestingly, S1- bZIPs regulate the expression of ETFQO. ETFQO is a unique protein that convoglia the electrons provenienti from the branch chain amino acids catabolism into the mitochondrial electron transport chain. The dimer formed between bZIP63 and bZIP2 recruits SnRK1.1 directly on the chromatin of ETFQO promoter. The recruitment of SnRK1 on ETFQO promoter is associated with its acetylation on the lysine 14 of the histone protein 3 (K14H3). This chromatin modification is normally asociated with an euchromatic status of the DNA and therefore with its transcriptional activation. Beside the particular case of the regulation of ETFQO gene, S1-bZIPs are involved in the regulation of many other genes activated in response of different stresses. bZIP1 is for example an important mediator of the salt stress response. In particular bZIP1 regulates the primary C- and N-metabolism. The expression of bZIP1, in response of both salt ans energy stress seems to be regulated by SnRK1, as it is the expression of bZIP53 and bZIP63.
Beside its involvement in the regulation of the energy stress response and salt response, SnRK1 is the primary activators of the lipids metabolism during see germination. SnRK1, indeed, controls the expression of CALEOSINs and OLEOSINs. Those proteins are very important for lipids remobilization from oil droplets. Without their expression seed germination and subsequent establishment do not take place because of the absence of fuel to sustain these highly energy costly processes, which entirely depend on the catabolism of seed storages.
Plant-associated fungi can affect the plants‘ interaction with herbivores and
other microorganisms. For example, many common forage grasses are infected
with Epichloë endophytes. The endophytes systemically colonize the aerial
parts of the plants. They produce bioprotective alkaloids that can negatively
affect insects and livestock feeding on the grasses, and interact with other
fungal species which living from the plants‘ nutrients. Environmental conditions
strongly influence Epichloë endophytes. Endophyte-mediated effects
on herbivores are more pronounced under increased temperatures and the
endophytes may benefit from land use in managed grasslands. Under the
framework of the large-scale German project “Biodiversity Exploratories”, I
investigated whether infection rates and alkaloid concentrations of Epichloë
festucae var. lolii in Lolium perenne (Chapter I) and Epichloë endophytes (E.
uncinata, E. siegelii) in Festuca pratensis (Chapter II) depend on land use and
season. Further I analysed, whether foliar fungal assemblages of L. perenne
are affected by the presence of Epichloë endophytes (Chapter IV).
Almost once a week broadcasts about earthquakes, hurricanes, tsunamis, or forest fires are filling the news. While oneself feels it is hard to watch such news, it is even harder for rescue troops to enter such areas. They need some skills to get a quick overview of the devastated area and find victims. Time is ticking, since the chance for survival shrinks the longer it takes till help is available. To coordinate the teams efficiently, all information needs to be collected at the command center. Therefore, teams investigate the destroyed houses and hollow spaces for victims. Doing so, they never can be sure that the building will not fully collapse while they
are inside. Here, rescue robots are welcome helpers, as they are replaceable and make work more secure. Unfortunately, rescue robots are not usable off-the-shelf, yet.
There is no doubt, that such a robot has to fulfil essential requirements to successfully accomplish a rescue mission. Apart from the mechanical requirements it has to be able to build
a 3D map of the environment. This is essential to navigate through rough terrain and fulfil manipulation tasks (e.g. open doors). To build a map and gather environmental information, robots are equipped with multiple sensors. Since laser scanners produce precise measurements and support a wide scanning range, they are common visual sensors utilized for mapping.
Unfortunately, they produce erroneous measurements when scanning transparent (e.g. glass, transparent plastic) or specular reflective objects (e.g. mirror, shiny metal). It is understood that such objects can be everywhere and a pre-manipulation to prevent their influences is impossible. Using additional sensors also bear risks.
The problem is that these objects are occasionally visible, based on the incident angle of the laser beam, the surface, and the type of object. Hence, for transparent objects, measurements might result from the object surface or objects behind it. For specular reflective objects, measurements might result from the object surface or a mirrored object. These mirrored objects are illustrated behind the surface which is wrong. To obtain a precise map, the surfaces need to
be recognised and mapped reliably. Otherwise, the robot navigates into it and crashes. Further, points behind the surface should be identified and treated based on the object type. Points behind a transparent surface should remain as they represent real objects. In contrast, Points behind a specular reflective surface should be erased. To do so, the object type needs to be classified. Unfortunately, none of the current approaches is capable to fulfil these requirements.
Therefore, the following thesis addresses this problem to detect transparent and specular reflective objects and to identify their influences. To give the reader a start up, the first chapters
describe: the theoretical background concerning propagation of light; sensor systems applied for range measurements; mapping approaches used in this work; and the state-of-the-art concerning detection and identification of transparent and specular reflective objects. Afterwards, the Reflection-Identification-Approach, which is the core of subject thesis is presented. It describes 2D and a 3D implementation to detect and classify such objects. Both are available as ROS-nodes. In the next chapter, various experiments demonstrate the applicability and reliability of these nodes. It proves that transparent and specular reflective objects can be detected and classified. Therefore, a Pre- and Post-Filter module is required in 2D. In 3D, classification is possible solely with the Pre-Filter. This is due to the higher amount of measurements. An
example shows that an updatable mapping module allows the robot navigation to rely on refined maps. Otherwise, two individual maps are build which require a fusion afterwards. Finally, the
last chapter summarizes the results and proposes suggestions for future work.
The Dual Olfactory Pathway in the Honeybee Brain: Sensory Supply and Electrophysiological Properties
(2018)
The olfactory sense is of utmost importance for honeybees, Apis mellifera. Honeybees use olfaction for communication within the hive, for the identification of nest mates and non-nest mates, the localization of food sources, and in case of drones (males), for the detection of the queen and mating. Honeybees, therefore, can serve as excellent model systems for an integrative analysis of an elaborated olfactory system.
To efficiently filter odorants out of the air with their antennae, honeybees possess a multitude of sensilla that contain the olfactory sensory neurons (OSN). Three types of olfactory sensilla are known from honeybee worker antennae: Sensilla trichoidea, Sensilla basiconica and Sensilla placodea. In the sensilla, odorant receptors that are located in the dendritic arborizations of the OSNs transduce the odorant information into electrical information. Approximately 60.000 OSN axons project in two parallel bundles along the antenna into the brain. Before they enter the primary olfactory brain center, the antennal lobe (AL), they diverge into four distinct tracts (T1-T4). OSNs relay onto ~3.000-4.000 local interneurons (LN) and ~900 projection neurons (PN), the output neurons of the AL. The axons of the OSNs together with neurites from LNs and PNs form spheroidal neuropil units, the so-called glomeruli. OSN axons from the four AL input tracts (T1-T4) project into four glomerular clusters. LNs interconnect the AL glomeruli, whereas PNs relay the information to the next brain centers, the mushroom body (MB) - associated with sensory integration, learning and memory - and the lateral horn (LH). In honeybees, PNs project to the MBs and the LH via two separate tracts, the medial and the lateral antennal-lobe tract (m/lALT) which run in parallel in opposing directions. The mALT runs first to the MB and then to the LH, the lALT runs first to the LH and then to the MB. This dual olfactory pathway represents a feature unique to Hymenoptera. Interestingly, both tracts were shown to process information about similar sets of odorants by extracting different features. Individual mALT PNs are more odor specific than lALT PNs. On the other hand, lALT PNs have higher spontaneous and higher odor response action potential (AP) frequencies than mALT PNs. In the MBs, PNs form synapses with ~184.000 Kenyon cells (KC), which are the MB intrinsic neurons. KCs, in contrast to PNs, show almost no spontaneous activity and employ a spatially and temporally sparse code for odor coding.
In manuscript I of my thesis, I investigated whether the differences in specificity of odor responses between m- and lALT are due to differences in the synaptic input. Therefore, I investigated the axonal projection patterns of OSNs housed in S. basiconica in honeybee workers and compared them with S. trichoidea and S. placodea using selective anterograde labeling with fluorescent tracers and confocal- microscopy analyses of axonal projections in AL glomeruli. Axons of S. basiconica-associated OSNs preferentially projected into the T3 input-tract cluster in the AL, whereas the two other types of sensilla did not show a preference for a specific glomerular cluster. T3- associated glomeruli had previously been shown to be innervated by mALT PNs. Interestingly, S. basiconica as well as a number of T3 glomeruli lack in drones. Therefore I set out to determine whether this was associated with the reduction of glomeruli innervated by mALT PNs. Retrograde tracing of mALT PNs in drones and counting of innervated glomeruli showed that the number of mALT-associated glomeruli was strongly reduced in drones compared to workers. The preferential projections of S. basiconica-associated OSNs into T3 glomeruli in female workers together with the reduction of mALT-associated glomeruli in drones support the presence of a female-specific olfactory subsystem that is partly innervated by OSNs from S. basiconica and is associated with mALT projection neurons. As mALT PNs were shown to be more odor specific, I suppose that already the OSNs in this subsystem are more odor specific than lALT associated OSNs. I conclude that this female-specific subsystem allows the worker honeybees to respond adequately to the enormous variety of odorants they experience during their lifetime.
In manuscript II, I investigated the ion channel composition of mALT and lALT PNs and KCs in situ. This approach represents the first study dealing with the honeybee PN and KC ion channel composition under standard conditions in an intact brain preparation. With these recordings I set out to investigate the potential impact of intrinsic neuronal properties on the differences between m- and lALT PNs and on the sparse odor coding properties of KCs. In PNs, I identified a set of Na+ currents and diverse K+ currents depending on voltage and Na+ or Ca2+ that support relatively high spontaneous and odor response AP frequencies. This set of currents did not significantly differ between mALT and lALT PNs, but targets for potential modulation of currents leading to differences in AP frequencies were found between both types of PNs. In contrast to PNs, KCs have very prominent K+ currents, which are likely to contribute to the sparse response fashion observed in KCs. Furthermore, Ca2+ dependent K+ currents were found, which may be of importance for coincidence detection, learning and memory formation.
Finally, I conclude that the differences in odor specificity between m- and lALT PNs are due to their synaptic input from different sets of OSNs and potential processing by LNs. The differences in spontaneous activity between the two tracts may be caused by different neuronal modulation or, in addition, also by interaction with LNs. The temporally sparse representation of odors in KCs is very likely based on the intrinsic KC properties, whereas general excitability and spatial sparseness are likely to be regulated through GABAergic feedback neurons.
Previous work of our group has established a role of sphingomyelinases in the regulation
of T cell responses to TCR or pathogen stimulation, and this became particularly
evident at the level of actin cytoskeletal dynamics. The formation of lipid membrane
microdomains is crucial for receptor clustering and signal induction, and therefore,
ceramide accumulation by membrane sphingomyelin breakdown is needed for signalling-
complex-assembly. Pathogen-induced overshooting of SMase activation substantially
impacted the formation of membrane protrusions, with T cell spreading as well as
a front/rear polarisation upon CD3/CD28 co-stimulation [103]. On the other hand, NSM
activation is part of the physiological TCR signal [67], indicating that a spatiotemporally
balanced NSM activation is crucial for its physiological function. It involves actin cytoskeletal
reorganisation and T cell polarisation. These two functions are also of central
importance in directional T cell migration and motility in tissues.
This thesis aims on defining the role of NSM in compartmentalisation of the T cell
membrane in polarisation and migration. Therefore, functional studies on the impact of
NSM activity in these processes had to be complemented by the development of tools
to study ceramide compartmentalisation in living T cells.
Purpose: We aim to provide an overview of the conventional single photon emission computed tomography (SPECT) and emerging positron emission tomography (PET) catecholamine analogue tracers for assessing myocardial nerve integrity, in particular focusing on \(^{18}\)F-labeled tracers.
Results: Increasingly, the cardiac sympathetic nervous system (SNS) is being studied by non-invasive molecular imaging approaches. Forming the backbone of myocardial SNS imaging, the norepinephrine (NE) transporter at the sympathetic nerve terminal plays a crucial role for visualizing denervated myocardium: in particular, the single-photon-emitting NE analogue \(^{123}\)I-meta-Iodobenzylguanidine (\(^{123}\)I-mIBG) has demonstrated favorable results in the identification of patients at a high risk for cardiac death. However, cardiac neuronal PET agents offer several advantages inlcuding improved spatio-temporal resolution and intrinsic quantifiability. Compared to their \(^{11}\)C-labeled counterparts with a short half-life (20.4 min), novel \(^{18}\)F-labeled PET imaging agents to assess myocardial nerve integrity have the potential to revolutionize the field of SNS molecular imaging: The longer half-life of \(^{18}\)F (109.8 min) allows for more flexibility in the study design and delivery from central cyclotron facilities to smaller hospitals may lead to further cost reduction. A great deal of progress has been made by the first in-human studies of such \(^{18}\)F-labeled SNS imaging agents. Moreover, dedicated animal platforms open avenues for further insights into the handling of radiolabeled catecholamine analogues at the sympathetic nerve terminal. Conclusions: \(^{18}\)F-labeled imaging agents demonstrate key properties for mapping cardiac sympathetic nerve integrity and might outperform current SPECT-based or \(^{11}\)C-labeled tracers in the long run.
Shiga toxin producing E. coli strains (STEC) are a great concern to human health. Upon an infection with as few as 100 bacteria, humans can develop disease symptoms ranging from watery to bloody diarrhea or even develop the hemolytic uremic syndrome (HUS). The major factor contributing to the disease symptoms is Shiga toxin (Stx) which can bind to the eukaryotic cells in the intestine of the human and induce cell death via apoptosis. Based, among other things, on the microbiota composition, the impact of STEC can vary. Some bacteria of the microbiota can interfere with the colonization of STEC strains in the first place. Others cannot impair the colonization but interfere with the toxin production and there are still others which are even infected by stx encoding phages, being released from STEC strains. Those previously harmless bacteria subsequently contribute to the toxin increase and worsen the disease progression. Since the genetic information of Stx is encoded on a prophage, antibiotic treatment of patients can lead to an increased toxin and stx-phage release and is therefore not recommended. Several STEC epidemics in different countries, which even resulted in the death of some patients, demonstrated that there is an urgent need for alternative treatment strategies.
The E. coli strain Nissle 1917 (EcN) has been used as a probiotic to treat gastrointestinal infections for more than 100 years. It harbors several fitness factors which contribute to the establishment of an intact intestinal barrier in the human gut. Moreover, studies with EcN unraveled that the probiotic E. coli can interfere with the colonization of STEC strains and their toxin production. This study aimed to investigate if EcN could be a possible alternative or supplementary treatment strategy for STEC infected patients, or a preventive treatment for the patient’s close contact persons.
Therefore, EcN was firstly investigated for a possible stx-prophage integration into its’s genome which would eliminate it from being a potential treatment due to the possibility of disease worsening. Despite the presence of the stx-phage surface receptor YaeT, EcN demonstrated a complete resistance towards the lysis and the lysogeny by stx-phages, which was proven by PCR, phage-plaque assays and phage enrichment approaches. Transcriptome data could unravel that a lambdoid prophage in the genome of EcN is involved in the resistance towards the phage infection. Other commensal E. coli tested presented a stx-phage resistance as well and in silico analysis revealed that all of them harbor a complete lambdoid prophage besides the stx-phage susceptible K-12 strain MG1655. We assume that the resistance of EcN towards a stx-phage infection is connected to the presence of an intact lambdoid prophage which interferes with superinfection.
Further experiments regarding the impact of the microcin negative EcN mutant SK22D towards STEC strains depicted that SK22D did not only interfere with the toxin production but also negatively regulated the transcription of the entire stx-prophage in coculture with all STEC strains tested (O157:H7, O26:H11, O145:H25, O103:H2, O111:H- and two O104:H4 isolates from the 2011 outbreak in Germany). This influence on the pathogenic factor production was evinced to be cell contact independent as SK22D could even interfere with the pathogenic factor production when being separated from the STEC strain EDL933 by a Transwell membrane with the pore size of 0.4 µm. From this data we concluded, that factor(s) released by SK22D interfere with the lysis of STEC strains by stabilizing the lysogenic state.
Another positive aspect of EcN towards the pathogenicity of STEC strains was encountered when EcN was incubated with isolated stx-phages. The probiotic strain could reduce the infectivity of the phages towards a MG1655 lysis from ~ 1e7 pfus/ml to 0 after 44 h of incubation. Various approaches to determine the characteristics of the factor(s) of EcN which are involved in the phage inactivation depicted it to be a heat resistant stationary phase protein on the surface of EcN, which could be a component of its biofilm.
Regarding the protective role of EcN we could further evince that SK22D was capable of interfering with the lysogenic K 12 mediated increase of Stx and stx phages. Lysogenic K-12 strains were characterized by a huge increase of Stx and stx-phage production. The presence of SK22D anyhow, could interfere with this K-12 mediated pathogenic factor increase. Transwell and stx phage infection kinetics led to the proposal that SK22D interfered with the stx-phage infection of K-12 strains in the first place rather than disturbing the lysis of lysogenic K 12. The protection from the phage infection could be due to the growth of K 12 strains within the SK22D culture, whereby the phage susceptible strains are masked from phage detection.
Summarizing, this work could underline the beneficial attributes of EcN towards the STEC pathogenicity in vitro. These results should be considered as pioneers for future in vivo studies to enable EcN medication as a supportive STEC infection treatment strategy.
Marine sponge-associated actinomycetes are reservoirs of diverse natural products with novel biological activities. Their antibiotic potential has been well explored against a range of Gram positive and negative bacteria. However, not much is known about their anti-infective or anti-virulence potential against human pathogens. This Ph.D. project aimed to investigate the anti-infective (anti-Shiga toxin and anti-biofilm) potential of sponge-derived actinobacteria through identification and isolation of their bioactive metabolites produced and characterizing their mechanism of action by transcriptomics. This thesis is divided into three studies with the overall objective of exploring the anti-infective efficacy of actinomycetes-derived extracts and compound(s) that could possibly be used as future therapeutics.
The first study deals with investigation on the anti-Shiga toxin effects of sponge-associated actinomycetes. Diarrheal infections pose a huge burden in several developing and developed countries. Diarrheal outbreaks caused by Enterohemorrhagic Escherichia coli (EHEC) could lead to life-threatening complications like gastroenteritis and haemolytic uremic syndrome (HUS) if left untreated. Shiga toxin (Stx) produced by EHEC is a major virulence factor that negatively affects the human cells, leading them to death via apoptosis. Antibiotics are not prescribed against EHEC infections since they may enhance the risk of development of HUS by inducing the production and release of Stx from disintegrating bacteria and thereby, worsening the complications. Therefore, an effective drug that blocks the Stx production without affecting the growth needs to be urgently developed. In this study, the inhibitory effects of 194 extracts and several compounds originating from a collection of marine sponge-derived actinomycetes were evaluated against the Stx production in EHEC strain EDL933 with the aid of Ridascreen® Verotoxin ELISA assay kit. It was found that treatment with the extracts did not lead to significant reduction in Stx production. However, strepthonium A isolated from the culture of Streptomyces sp. SBT345 (previously cultivated from the Mediterranean sponge Agelas oroides) reduced the Stx production (at 80 μM concentration) in EHEC strain EDL933 without affecting the bacterial growth. The structure of strepthonium A was resolved by spectroscopic analyses including 1D and 2D-NMR, as well as ESI-HRMS and ESI-HRMS2 experiments. This demonstrated the possible application of strepthonium A in restraining EHEC infections.
VI
In the second study, the effect of marine sponge-associated actinomycetes on biofilm formation of staphylococci was assessed. Medical devices such as contact lenses, metallic implants, catheters, pacemakers etc. are ideal ecological niches for formation of bacterial biofilms, which thereby lead to device-related infections. Bacteria in biofilms are multiple fold more tolerant to the host immune responses and conventional antibiotics, and hence are hard-to-treat. Here, the anti-biofilm potential of an organic extract derived from liquid fermentation of Streptomyces sp. SBT343 (previously cultivated from the Mediterranean sponge Petrosia ficiformis) was reported. Results obtained in vitro demonstrated its anti-biofilm (against staphylococci) and non-toxic nature (against mouse macrophage (J774.1), fibroblast (NIH/3T3) and human corneal epithelial cell lines). Interestingly, SBT343 extract could inhibit staphylococcal biofilm formation on polystyrene, glass and contact lens surfaces without affecting the bacterial growth. High Resolution Fourier Transform Mass Spectrometry (HR-MS) analysis indicated the complexity and the chemical diversity of components present in the extract. Preliminary physio-chemical characterization unmasked the heat stable and non-proteinaceous nature of the active component(s) in the extract. Finally, fractionation experiments revealed that the biological activity was due to synergistic effects of multiple components present in the extract.
In the third study, anti-biofilm screening of 50 organic extracts generated from solid and liquid fermentation of 25 different previously characterized sponge-derived actinomycetes was carried out. This led to identification of the anti-biofilm organic extract derived from the solid culture of Streptomyces sp. SBT348 (previously cultivated from the Mediterranean sponge Petrosia ficiformis). Bioassay-guided fractionation was employed to identify the active fraction Fr 7 in the SBT348 crude extract. Further purification with semi-preparative HPLC led to isolation of the bioactive SKC1, SKC2, SKC3, SKC4 and SKC5 sub-fractions. The most active sub-fraction SKC3 was found to be a pure compound having BIC90 and MIC values of 3.95 μg/ml and 31.25 μg/ml against S. epidermidis RP62A. SKC3 had no apparent toxicity in vitro on cell lines and in vivo on the greater wax moth Galleria melonella larvae. SKC3 was stable to heat and enzymatic treatments indicating its non-proteinaceous nature. HR-MS analysis revealed the mass of SKC3 to be 1258.3 Da. Structure elucidation of SKC3 with the aid of 1D and 2D-NMR data is currently under investigation. Further, to obtain insights into the mode of action of SKC3 on S. epidermidis RP62A, RNA sequencing was done. Transcriptome data revealed that SKC3 was recognized by RP62A at 20 min and SKC3 negatively interfered with the central metabolism of staphylococci at 3 h. Taken
VII
together, these findings suggest that SKC3 could be a lead structure for development of new anti-staphylococcal drugs.
Overall, the results obtained from this work underscore the anti-infective attributes of actinomycetes consortia associated with marine sponges, and their applications in natural product drug discovery programs.
Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience.
In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk “short distances” before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly".
For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain:
i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies.
In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data.
Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.
African trypanosomes are the causative agents of fatal diseases in humans and livestock. Trypanosomes show a complex lifecycle and shuttle between the transmitting vector, the tsetse (Glossina spec.), and the mammalian host. As a result of this the parasite undergoes tremendous changes in morphology and metabolism to adapt to the different living environments.
The two best-studied lifecycle stages are the procyclic forms (PCF) that live in the tsetse fly and the proliferative bloodstream form (BSF) that resides in the mammalian blood. The most conspicuous weapon that trypanosomes use to evade the host immune attack is a dense layer of a single protein type, the variant surface glycoprotein (VSG), which shields the entire cell surface. Immune evasion required high rates of surface membrane turnover and surface coat recycling.
Trypanosomes show highly polarised cell architecture with all major eukaryotic organelles (endoplasmic reticulum, Golgi apparatus, endosomal apparatus, lysosome, mitochondrion and peroxisome-like glycosomes) generally present in single copy. Furthermore, trypanosomes possess a single flagellum, which is important not only for cellular motility but also for cell division.
How the duplication of all these cellular components is coordinated in order to progresss through the cell division cycle is poorly understood.
We used trypanosomes as a model organism due to the relative simplicity and the polarised nature of their cell architecture and determined the duplication of all their compartments. This was only possible due to a new synchronisation approach developed during this project.
In the first part of the thesis a precise temporal map of the cell division cycle of the BSF T. brucei cell division cycle was generated. By the use of well-described morphological markers (K/N status, new flagellum outgrowth and DNA synthesis) the position of individual cells was determined with high temporal resolution; this allowed us for the first time to synchronise a cell population in silico without affecting the naturally asynchronous growth.
In the second part of the thesis we used this tool to follow duplication events of the Major organelles during progression through the cell division cycle. We precisely determined the time points of organelle duplication and found that it is ordered in trypanosomes. Furthermore we found that BSF T. brucei cells do not grow continuously, cell size start to increase rapidly, during a short period of time, late in the cell division cycle. We speculate that the initiation of cell volume increase is temporally separated from the formation of all secretory organelles in order to ensure maintenance of the protective coat, which must remain intact at all times in order for BSF trypanosomes to be able to evade the host immune response.
Reliable standards and criteria for somatostatin receptor (SSTR) positron emission tomography (PET) are still lacking. We herein propose a structured reporting system on a 5-point scale for SSTR-PET imaging, titled SSTR-RADS version 1.0, which might serve as a standardized assessment for both diagnosis and treatment planning in neuroendocrine tumors (NET). SSTR-RADS could guide the imaging specialist in interpreting SSTR-PET scans, facilitate communication with the referring clinician so that appropriate work-up for equivocal findings is pursued, and serve as a reliable tool for patient selection for planned Peptide Receptor Radionuclide Therapy.
Characterization of motility and erythrocyte adherence as virulence factors in African trypanosomes
(2018)
Pathogens causing African animal trypanosomiasis (AAT), the major livestock disease in sub-Saharan Africa, belong to the salivarian group of the African trypanosomes, which are transmitted by the bite of the tsetse fly (Glossina spec.). T. vivax, T. congolense and T. brucei brucei are major pathogens of cattle in particular, causing nagana, with dramatic socio-economic consequences for the affected regions. The parasites additionally have a huge reservoir of other livestock and wild animal hosts. T. brucei, the species which also includes the subspecies pathogenic to humans causing sleeping sickness, has been extensively studied as the cultivatable model trypanosome. But less is known about the other salivarian species, which are not routinely held in culture, if at all possible. A hallmark of trypanosomal lifestyle is the protozoan flagellates incessant motility, which enables them to populate an enormous range of habitats in very diverse hosts. We were now able to characterize, for the first time with high spatiotemporal resolution microscopy, the swimming behaviour and mechanism of the most relevant salivarian species isolated directly from blood. We show the influence of viscosity on the motility of bloodstream form (BSF) cells and simulate their movement between erythrocytes, giving a clear picture of how all analyzed species move under varying environmental conditions. We show that although the basic mechanism of flagellar motility applies to all analyzed species, there are clear morphological differences that produce different reactions to the physical environment. We could define specific conditions for highly increased swimming persistence and speed for compared to the behaviour in standard culture. These results have important implications for the parasites survival strategies in the host, e.g. regarding the capacity for antibody clearance. Although we show all species to effectively remove antibodies from the cell surface, T. congolense differed markedly in its motility behaviour, which gives rise to interesting questions about this species behaviour in the bloodstream. Most of the T. congolense parasites (and to a lesser extent T. vivax) adhere to sheep erythrocytes. Further in vitro studies showed that T. congolense and T. vivax adhered to rabbit, goat, pig and cattle erythrocytes- but binding behaviour was absent in murine blood. Notably, both T. brucei and T. evansi lacked adherence to all studied host erythrocytes. Generally, attachment to blood cells caused reduction of swimming velocities. Judging from its cell architecture, as well as the motility studies in higher media viscosity and in micropillar arrays, T. congolense is not adapted to swim at high speeds in the mammalian bloodstream. Low swimming speeds could allow these purely intravascular parasites to remain bound to the host erythrocytes.
Background: \(^{123}\)I-metaiodobenzylguanidine (mIBG) provides independent prognostic value for risk stratification among heart failure patients, but the use of concomitant medication should not impact its quantitative information. We aimed to evaluate the four most-prescribed antidepressants currently used as a first‑line treatment for patients with major depressive disorder (MDD) and their potential on altering mIBG imaging results.
Methods: The inhibition effect of four different types of antidepressants (desipramine, escitalopram, venlafaxine and bupropion) for MDD treatment on \(^{131}\)I-mIBG uptake was assessed by in-vitro cell uptake assays using human neuroblastoma SK-N-SH cells. The half maximal inhibitory concentration (IC50) of tracer uptake was determined from dose-response curves. To evaluate the effects of IV pretreatment with desipramine (1.5 mg/kg) and escitalopram (2.5, 15 mg/kg) on mIBG cardiac uptake, in-vivo planar 123I-mIBG scans in healthy New Zealand White Rabbits were conducted. Results: The IC50 values of desipramine, escitalopram, venlafaxine and bupropion on \(^{131}\)I-mIBG cellular uptake were 11.9 nM, 7.5 μM, 4.92 μM, and 12.9 μM, respectively. At the maximum serum concentration (Cmax, as derived by previous clinical trials), the inhibition rates of 131I-mIBG uptake were 90.6 % for desipramine, 25.5 % for venlafaxine, 11.7 % for bupropion and 0.72 % for escitalopram. A low inhibition rate for escitalopram in the cell uptake study triggered investigation of an in-vivo rabbit model: with dosage considerably higher than clinical practice, the non-inhibitory effect of escitalopram was confirmed. Furthermore, pretreatment with desipramine led to a marked reduction of cardiac 123I-mIBG uptake.
Conclusions: In the present in-vitro binding assay and in-vivo rabbit study, the selective-serotonin reuptake inhibitor escitalopram had no major impact on neuronal cardiac mIBG uptake within therapeutic dose ranges, while other types of first-line antidepressants for MDD treatment led to a significant decrease. These preliminary results warrant further confirmatory clinical trials regarding the reliability of cardiac mIBG imaging, in particular, if the patient’s neuropsychiatric status would not tolerate withdrawal of a potentially norepinephrine interfering antidepressant.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.
Urban areas are population, culture and infrastructure concentration points. Electricity blackouts or interruptions of water supply severely affect people when happening unexpected and at large scale. Interruptions of such infrastructure supply services alone have the potential to trigger crises. But when happening in concert with or as a secondary effect of an earthquake, for example, the crisis situation is often aggravated. This is the case for any country, but it has been observed that even highly industrialised
countries face severe risks when their degree of acquired dependency on services of what is termed Critical Infrastructure results in even bigger losses when occurring unexpectedly in a setting that usually has high reliability of services.
Involvement of neuronal nitric oxide synthase (NOS-I) PDZ interactions in neuropsychiatric disorders
(2018)
Neuronal nitric oxide (NO) synthase (NOS-I) and its adaptor protein (NOS1AP) have been repeatedly and consistently associated with neuropsychiatric disorders in several genetic association and linkage studies, as well as functional studies. NOS-I has an extended PDZ domain which enables it to interact with postsynaptic density protein 95 (PSD-95) bringing NOS-I in close proximity to NMDA receptors. This interaction allows NMDA receptor activity dependent calcium-influx to activate NOS-I, linking NO synthesis to regulation of glutamatergic signaling pathways. NOS1AP is a PDZ-domain ligand of NOS-I and has been proposed to compete with PSD-95 for NOS-I interaction. Studies performed on post-mortem brain tissues have shown increased expression of NOS1AP in patients with schizophrenia and bipolar disorder, suggesting that increased NOS-I/NOS1AP interactions might be involved in neuropsychiatric disorders possibly through disruption of NOS-I PDZ interactions. Therefore, I have investigated the involvement of NOS-I in different endophenotypes of neuropsychiatric disorders by targeting its specific PDZ interactions in vitro and in vivo. To this end, I used recombinant adeno-associated virus (rAAV) vectors expressing NOS1AP isoforms/domains (NOS1AP-L: full length NOS1AP; NOS1AP-LC20: the last 20 amino acids of NOS1AP-L, containing the PDZ interaction motif suggested to stabilize interaction with NOS-I; NOS1AP-LΔC20: NOS1AP-L lacking the last 20 amino acids; NOS1AP-S: the short isoform of NOS1AP), residues 396-503 of NOS1AP-L (NOS1AP396-503) encoding the full NOS-I interaction domain, and N-terminal 133 amino acids of NOS-I (NOS-I1-133) encoding for the extended PDZ-domain.
Neuropsychiatric disorders involve morphological brain changes including altered dendritic
development and spine plasticity. Hence, I have examined dendritic morphology in primary cultured hippocampal and cortical neurons upon overexpression of constructed rAAV vectors. Sholl analysis revealed that overexpression of NOS1AP-L and NOS1AP-LΔC20 mildly reduced dendritic length/branching. Moreover, overexpression of all NOS1AP isoforms/domains resulted in highly altered spine plasticity including significant reduction in the number of mature spines and increased growth of filopodia. These findings suggest that NOS1AP affects dendritic growth
and development of dendritic spines, which may involve both, increased NOS-I/NOS1AP interaction as well as interaction of NOS1AP with proteins other than NOS-I. Interestingly, the observed alterations in dendritic morphology were reminiscent of those observed in post-mortem brains of patients with neuropsychiatric disorders.
Given the dendritic alterations in vitro, I have examined, whether disruption of NOS-I PDZ interaction would also result in behavioral deficits associated with neuropsychiatric disorders. To this end, rAAV vectors expressing NOS1AP-L, NOS1AP396-503, NOS-I1-133, and mCherry were stereotaxically delivered to the dorsal hippocampus of 6-week-old male C57Bl/6J mice. One week after surgery, mice were randomly separated into two groups. One of those groups underwent three weeks of chronic mild stress (CMS). Afterwards all mice were subjected to a comprehensive behavioral analysis. The findings revealed that overexpression of the constructs did not result in phenotypes related to anxiety or depression, though CMS had an anxiolytic effect independent of the injected construct. Mice overexpressing NOS-I1-133, previously shown to disrupt NOS-I/PSD-95 interaction, showed impaired spatial memory, sensorimotor gating, social interaction, and increased locomotor activity. NOS1AP overexpressing mice showed mild impairments in sensorimotor gating and spatial working memory and severely impaired social interaction. NOS1AP396-503 overexpressing mice also showed impaired social interaction but enhanced sensorimotor gating and reduced locomotor activity. Taken together, these behavioral findings indicate an involvement of NOS-I PDZ interactions in phenotypes associated with positive symptoms and cognitive deficits of psychotic disorders.
In summary, this study revealed an important contribution of NOS-I protein interactions in the development of endophenotypic traits of neuropsychiatric disorders, in particular schizophrenia,
at morphological and behavioral levels. These findings might eventually aid to a better
understanding of NOS-I-dependent psychopathogenesis, and to develop pharmacologically relevant treatment strategies.
Influence of interleukin-6-type cytokine oncostatin M on murine aortic vascular smooth muscle cells
(2018)
Oncostatin M (OSM) is a cytokine of the interleukin-6 family and released in the early
phase of inflammation by neutrophils, activated macrophages, dendritic cells, and T
lymphocytes. Its roles in physiology and disease are not entirely understood yet. It
has been shown recently that substantial amounts of OSM are found in atherosclerotic
plaques.
The first part of this thesis addresses the effects of OSM on vascular smooth muscle
cells (VSMCs). This cell type is known to contribute to atherogenesis and expresses
the type I and type II OSM receptor complexes. This study revealed that OSM is a
strong inducer of an array of genes which have recently been shown to play important
roles in atherosclerosis. Investigation of VSMCs isolated from OSMRbeta-deficient
(Osmr-/-) mice proved that the regulation of these target genes is entirely dependent
on the activation of the type II OSMR complex. In addition to OSM, other cytokines
expressed by T lymphocytes were found to contribute to plaque development. According
to earlier publications, the influence of IL-4, IL-13, and IL-17 on the progression of
plaques were discussed controversially. Nevertheless, for the regulation of investigated
atherosclerotic target genes and receptor complexes in VSMCs, they seemed to play a
minor role compared to OSM. Only the expression of the decoy receptor IL-13Ralpha2 - a
negative feedback mechanism for IL-13-mediated signalling - was strongly induced after
treatment with all mentioned cytokines, especially when VSMCs were primed with OSM
before stimulation.
The second part of this thesis focuses on the role of OSM during the progression of
atherosclerosis in vivo. Therefore, Ldlr-/-Osmr-/- mice were generated by crossing Ldlr-/-
mice - a typical mouse model for atherosclerosis - with Osmr-/- mice. These double-deficient
mice together with Ldlr-/-Osmr+/+ mice were set on cholesterol rich diet (Western
diet, WD) for 12 weeks before they were sacrificed. Determination of body and
organ weight, staining of aortas and aortic roots as well as gene expression profiling
strongly suggested that Ldlr-/-Osmr-/- mice are less susceptible for plaque development
and weight gain compared to Ldlr-/-Osmr+/+ mice. However, further experiments and
additional controls (C57Bl/6 and Osmr-/- mice) on WD are necessary to clarify the
underlying molecular mechanisms.
Taken together, the interleukin-6-type cytokine OSM is a strong inducer of an array of
target genes involved in de-differentiation and proliferation of VSMCs, a process known
to contribute substantially to atherogenesis. Further in vivo studies will help to clarify
the role of OSM in atherosclerosis.
The advances in genetic engineering have enabled us to confer T cells new desired functions or delete their specific undesired endogenous properties for improving their antitumor function. Due to their efficient gene delivery, viral vectors have been successfully used in T-cell engineering to provide gene transfer medicinal products for the treatment of human disease. One example is adoptive cell therapy with T cells that were genetically modified with gamma-retroviral and lentiviral (LV) delivery vectors to express a CD19-specific chimeric antigen receptor (CAR) for cancer treatment. This therapeutic approach has shown remarkable results against B-cell malignancies in pilot clinical trials. Consequently, there is a strong desire to make CAR T cell therapy scalable and globally available to patients. However, there are persistent concerns and limitations with the use of viral vectors for CAR T cell generation with regard to safety, cost and scale of vector production. In order to address these concerns, we aimed to improve non-viral gene transfer and genome editing tools as an effective, safe and broadly applicable alternative to viral delivery methods for T-cell engineering.
In the first part of the study, we engineered CAR T cells through non-viral Sleeping Beauty (SB) transposition of CAR genes from minimalistic DNA vectors called minicircles rather than conventional SB plasmids. This novel approach dramatically increased stable gene transfer rate and cell viability and resulted in higher yield of CAR+ T cells without the need of long ex vivo expansion to generate therapeutic doses of CAR+ T cells. Importantly, CD19-CAR T cells modified by MC-based SB transposition were equally effective as LV transduced CD19-CAR T cells in vitro and in a murine xenograft model (NSG/Raji-ffLuc), where a single administration of CD8+ and CD4+ CAR T cells led to complete eradication of lymphoma and memory formation of CAR T cells after lymphoma clearance.
To characterize the biosafety profile of the CAR T cell products, we did the most comprehensive genomic insertion site analysis performed so far in T cells modified with SB. The data showed a close-to-random integration profile of the SB transposon with a higher number of insertions in genomic safe harbors compared to LV integrants. We developed a droplet digital PCR assay that enables rapid determination of CAR copy numbers for clinical applications.
In the second part of the study, we ablated expression of PD-1, a checkpoint and negative regulator of T cell function to improve the therapeutic index of CAR T cells. This was accomplished using non-viral CRISPR/Cas9 via pre-assemble Cas9 protein and in vitro-transcribed sgRNA (Cas9 RNP). Finally, we combined our developed Cas9 RNP tool with CAR transposition from MC vectors into a single-step protocol and successfully generated PD-1 knockout CAR+ T cells. Based on the promising results achieved from antibody-mediated PD-1 blockade in the treatment of hematological and solid tumors, we are confident that PD-1 knockout CAR T cells enhance the potency of CAR T cell therapies for treatment of cancers without the side effects of antibody-based therapies.
In conclusion, we provide a novel platform for virus-free genetic engineering of CAR T cells that can be broadly applied in T-cell cancer therapy. The high level of gene transfer rate and efficient genome editing, superior safety profile as well as ease-of-handling and production of non-viral MC vectors and Cas9 RNP position our developed non-viral strategies to become preferred approaches in advanced cellular and gene-therapy.
Background: Recent developments in cellular reprogramming technology enable the production of virtually unlimited numbers of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM). Although hiPSC-CM share various characteristic hallmarks with endogenous cardiomyocytes, it remains a question as to what extent metabolic characteristics are equivalent to mature mammalian cardiomyocytes. Here we set out to functionally characterize the metabolic status of hiPSC-CM in vitro by employing a radionuclide tracer uptake assay. Material and Methods: Cardiac differentiation of hiPSC was induced using a combination of well-orchestrated extrinsic stimuli such as WNT activation (by CHIR99021) and BMP signalling followed by WNT inhibition and lactate based cardiomyocyte enrichment. For characterization of metabolic substrates, dual tracer uptake studies were performed with \(^{18}\)F-2-fluoro-2-deoxy-D-glucose (\(^{18}\)F-FDG) and \(^{125}\)I-β-methyl-iodophenyl-pentadecanoic acid (\(^{125}\)I-BMIPP) as transport markers of glucose and fatty acids, respectively. Results: After cardiac differentiation of hiPSC, in vitro tracer uptake assays confirmed metabolic substrate shift from glucose to fatty acids that was comparable to those observed in native isolated human cardiomyocytes. Immunostaining further confirmed expression of fatty acid transport and binding proteins on hiPSC-CM. Conclusions: During in vitro cardiac maturation, we observed a metabolic shift to fatty acids, which are known as a main energy source of mammalian hearts, suggesting hi-PSC-CM as a potential functional phenotype to investigate alteration of cardiac metabolism in cardiac diseases. Results also highlight the use of available clinical nuclear medicine tracers as functional assays in stem cell research for improved generation of autologous differentiated cells for numerous biomedical applications.
While life expectancy increases worldwide, treatment of neurodegenerative diseases such as AD becomes a major task for industrial and academic research. Currently, a treatment of AD is only symptomatical and limited to an early stage of the disease by inhibiting AChE. A cure for AD might even seem far away. A rethinking of other possible targets is therefore necessary. Addressing targets that can influence AD even at later stages might be the key. Even if it is not possible to find a cure for AD, it is of great value for AD patients by providing an effective medication. The suffering of patients and their families might be relieved and remaining years may be spent with less symptoms and restrictions.
It was shown that a combination of hCB2R agonist and BChE inhibitor might exactly be a promising approach to combat AD. In the previous chapters, a first investigation of dual-acting compounds that address both hCB2R and BChE was illustrated (figure 6.1).
A set of over 30 compounds was obtained by applying SARs from BChE inhibitors to a hCB2R
selective agonist developed by AstraZeneca. In a first in vitro evaluation compounds showed
selectivity over hCB1R and AChE. Further investigations could also prove agonism and showed
that unwanted off-target affinity to hMOP receptor could be designed out. The development of
a homology model for hCB2R (based on a novel hCB1R crystal) could further elucidate the
mode of action of the ligand binding. Lastly, first in vivo studies showed a beneficial effect of
selected dual-acting compounds regarding memory and cognition.
Since these first in vivo studies mainly aim for an inhibition of the BChE, it should be the aim
of upcoming projects to proof the relevance of hCB2R agonism in vivo as well. In addition,
pharmacokinetic as well as solubility studies may help to complete the overall picture.
Currently, hybrid-based dual-acting hCB2R agonists and selective BChE inhibitors are under
investigation in our lab. First in vitro evaluations showed improved BChE inhibition and
selectivity over AChE compared to tacrine.78 Future in vitro and in vivo studies will clarify their
usage as drug molecules with regard to hepatotoxicity and blood-brain barrier penetration.
Since the role of hCB2R is not yet completely elucidated, the use of photochromic toolcompounds
becomes an area of interest. These tool-compounds (and their biological effect) can
be triggered upon irradiation with light and thus help to investigate time scales and ligand
binding.
A set of 5-azobenzene benzimidazoles was developed and synthesized. In radioligand binding
studies, affinity towards hCB2R could be increased upon irradiation with UV-light (figure 6.2).
This makes the investigated compounds the first GPCR ligands that can be activated upon
irradiation (not vice versa).
The aim of upcoming research will be the triggering of a certain intrinsic activity by an
“efficacy-switch”. For this purpose, several attempts are currently under investigation: an
introduction of an azobenzene moiety at the 2-position of the benzimidazole core already led to
a slight difference in efficacy upon irradiation with UV light. Another approach going on in our
lab is the development of hCB1R switches based on the selective hCB1R inverse agonist
rimonabant. First in vitro results are not yet available (figure 6.3).
A major problem regarding public health is the emergence of antibiotic resistant bacterial strains, especially methicillin resistant Staphylococcus aureus (MRSA). This is mainly attributed to the unnecessary overuse of antimicrobial drugs by patients; however, one aspect that is often neglected is their untargeted mechanism of action, affecting not only the infection itself but also commensal bacteria which are often opportunistic pathogens causing many diseases as well. Therefore, our goal was to develop a bioresponsive antibiotic delivery system triggered by virulence factors. The designed system is comprised of a polymer to enhance its pharmacokinetic profile, a peptide cleavable linker, and the antibiotic agent itself. The bacterial protease aureolysin which is expressed by S. aureus during infections would cleave the linker and partially release the antibiotic which would be still attached to a remaining tetrapeptide. These would be cleaved by a group of proteases naturally present in plasma called aminopeptidases, finally releasing the compound.
In the first part of this project, we searched for a suitable sequence to serve as a cleavable linker. It should be sensitive towards the target bacterial protease but not be cleaved by any human enzymes to guarantee the specificity of the system. Therefore, we synthesized three peptide sequences via Solid Phase Peptide Synthesis and incubated them with aureolysin as well as with many human matrix Metalloproteases. The analysis and quantification of enzymatic activity was monitored chromatographically (RP-HPLC). The plasminogen originated sequence was chosen since it was not sensitive towards MMPs, but cleaved by aureolysin.
In the second part, we tried to incorporate the chosen peptide sequences as crosslinkers in hydrogel formulations. The purpose was to physically incorporate the antibiotic within the hydrogel, which would be released by the cleavage of those sequences and the consequent loosening the hydrogel net. For that purpose we used a commercially available hydrogel kit with a PVA matrix modified with maleimide, which allows a conjugation reaction with thiol functionalized crosslinkers. Three fluorophores were chosen to serve as antibiotic models and a diffusion assay was performed. Only the glomerular structured Green Fluorescent Protein (GFP) presented a low diffusion rate, thus the aureolysin release assays were performed only using this prototype. Assays showed that with a low hydrogel polymer concentration, the fluorophore either quickly diffused into the medium or was not released at all. The physical incorporation of the antibiotic within the hydrogel pores was therefore abolished as a suitable release approach. For a second attempt, we covalently bound a fluorophore to the linker, which was conjugated to the hydrogel matrix. The incubation with aureolysin and subsequent RP-HPLC analysis showed a peak with the same retention time correspondent to the fragment product after cleavage of the free linker. This is a proof that the concept of linking the peptide sequence to the antibiotic is a promising strategy for its bioresponsive release.
Within the third part of this study, we analyzed the degradation of the resulted fragment after aureolysin activity and subsequent full release of the antibiotic by human aminopeptidases. We determined the concentration of those enzymes in human plasma and synthesized the fragment by conjugating the tetrapeptide sequence to aminofluorescein via EDC/NHS reaction. By incubating the construct with the lowest aminopeptidase concentration measured in plasma, the fluorophore was completely released within two hours, showing the efficacy of these enzymes as bioresponsive agents.
The last part was the construction of the PEGylated linker-antibiotic. For this purpose we chose the tetracycline like antibiotic chelocardin (CHD) as our prototype. The conjugation of the linker- CHD to the polymer was performed by copper free click chemistry. The cleavage rate of the linker by aureolysin was very similar to the one obtained for the free peptide, indicating that the PEGylation does not interfere on the enzymatic activity. However, by trying to increase the loading ratio of chelocardin onto the polymer, we observed a very low cleavage rate for the system, indicating the formation of aggregates by those constructs.
The designed system has proved to be a smart strategy for the delivery on demand of antibiotics in which the drug is only released by the presence of S. aureus during their virulent state.
Since four decades, high-throughput screenings have been conducted in drug discovery, fuelling the identification of potential new drug candidates. This approach, however, often promotes the detection of compounds with undesired physico-chemical properties like poor aqueous solubility or low membrane permeability. Indeed, dissolution and absorption of a drug are prerequisites for systemic exposure and therapeutic effects. Therefore, innovative strategies to optimize unfavourable performance of new drug candidates are in great demand in order to increase drug concentrations at the site of action whilst simultaneously reducing drug variability.
In chapter I of this research work, hydrophobic ion pairing (HIP) is discussed as a promising strategy to improve the bioavailability of BCS class III compounds, which have high aqueous solubility and low permeability. The review points out the limitations of poorly absorbable drugs and details the approach of pairing these APIs with hydrophobic counterions. Apart from the motivation to tailor physico-chemical, biopharmaceutical and toxicological properties of BCS class III compounds, the hydrophobic ion pairing facilitates their formulation into drug delivery systems. Besides advantageous effects, disadvantages of the ion pair formation, such as the decreased aqueous solubility of the ions pair, are critically outlined. Finally, the review covers an overview of non-invasive administration routes permitted after ion pair formation, including oral/enteral, buccal, nasal, ocular and transdermal drug administration. Overall, the HIP approach offers substantial benefits regarding the bioavailability enhancement of BCS class III compounds.
Chapter II concerns GHQ168 developed by Holzgrabe et al., a BCS class II compound characterized by low aqueous solubility and high permeability. GHQ168 was developed for the treatment of human African trypanosomiasis (HAT), a tropical disease for which novel active compounds are urgently needed. This lead compound was found to be very active against trypanosoma brucei brucei and trypanosoma brucei rhodesiense in cell
culture assays, however, the low aqueous solubility prevented further preclinical development. To target this drawback, two different approaches were selected, including (I) the chemical modification and (II) the spray drying of GHQ168. The newly synthesized set of derivatives as well as the spray dried GHQ168 were subjected to a physico-chemical and microbiological characterization. It turned out that both approaches successfully improved aqueous solubility, however, for the derivatives of GHQ168 at the expense of activity. Furthermore, the pharmacokinetic parameters of GHQ168 and of the most active derivatives, GHQ242 and GHQ243, were evaluated. Elimination half-lives between 1.5 to 3.5 h after intraperitoneal administration and modest to strong serum albumin binding for GHQ243 (45%) and GHQ168 (80%) and very high binding (> 99%) for GHQ242 were detected. The spray dried formulation of GHQ168, as well as GHQ242 and GHQ243 were investigated in two in vivo studies in mice infected with t. b. rhodesiense (STIB900), referred to as (I) stringent model and (II) early-treatment model. In the stringent model (2 applications/day on day 3-6 after infection) the mean survival duration (MSD) of mice treated with spray dried GHQ168 exceeded the MSD of the untreated control group (17 days versus 9 days), a difference that was statistically significant. In contrast, no statistical difference was observed for GHQ242 (14 days) and GHQ243 (12 days). GHQ168 was further assessed in the early-treatment model (2 applications/day on day 1-4 after infection) and again a statistically significant improvement of MSD (32 days (end of observation period) versus 7 days) was observed. Finally, exciting antitrypanosomal efficacy for the spray dried formulation of GHQ168 was demonstrated.
NADPH oxidases (NOX) were found to be the main source of endothelial reactive oxygen species (ROS) formation. Chapter III reports on the formulation studies on triazolopyrimidine derivatives from the VAS library, a set of NADPH oxidase inhibitors. These were developed for the treatment of elevated ROS levels, which contribute to the development of cardiovascular diseases. Although in vitro results from numerous studies indicated promising efficacy and selectivity for the VAS-compounds, the low water solubility impeded the in vivo translation and further preclinical development. For this reason, three derivatives, VAS2870, VAS3947, and VAS4024 were physico-chemically characterized and VAS3947, the most soluble compound, was selected for further formulation studies. These approaches included (I) spray drying, (II) microemulsification and (III) complexation with cyclodextrins in order to develop formulations for oral and parenteral application. Solubility improvement of VAS3947 was successfully demonstrated for all preparations as expressed by supersaturation ratios in comparison to the solubility of the unformulated compound. For seven spray dried formulations, the ratio ranged from 3-9, and the ratio for four microemulsions was 8-19 after 120 min, respectively. The six cyclodextrin formulations achieved the highest supersaturation ratio between 3 and 174 after 20 hours. NMR measurements elucidated the inclusion of VAS3947 within the CD’s cavity as well as the interaction with its outer surface. Ultimately, NOX inhibitors were opened for oral and parenteral administration for the first time.
After successful solubility improvement of VAS3947, further investigations towards in vivo studies were conducted including stability studies with a focus on stability in solution and in plasma as presented in chapter IV. Furthermore, permeability and cytotoxicity assays were performed for the first time. It turned out that VAS3947 was instable in buffer and when exposed to light. Moreover, the compound showed decomposition in the presence of mouse microsomes and in human plasma. The VAS compounds contain an oxazol moiety linked to the triazolopyrimidine skeleton via a thioether. This structural element is responsible for the efficacy of the compound class, however it is susceptible to hydrolysis and to further degradation reactions. Moreover, VAS3947 harmed membrane integrity in the cell permeability assays and cytotoxicity investigations in HEK-293 and HEP-G2 cells revealed IC50 values in the same concentration range as reported for efficacy assays. Summarized, it was demonstrated that substances from the VAS library were no appropriate model compounds for ROS investigations nor suitable candidates for further preclinical development.
Regulatory focus (RF) theory (Higgins, 1997) states that individuals follow different strategic concerns when focusing on gains (promotion) rather than losses (prevention). Applying the Reflective-Impulsive Model (RIM, Strack & Deutsch, 2004), this dissertation investigates RF’s influence on basic information processing, specifically semantic processing (Study 1), semantic (Study 2) and affective (Study 3) associative priming, and basic reflective operations (Studies 4-7). Study 1 showed no effect of RF on pre-activation of RF-related semantic concepts in a lexical decision task (LDT). Study 2 indicated that primes fitting a promotion focus improve performance in a LDT for chronically promotion-focused individuals, but not chronically prevention-focused individuals. However, the latter performed better when targets fit their focus. Stronger affect and arousal after processing valent words fitting an RF may explain this pattern. Study 3 showed some evidence for stronger priming effects for negative primes in a bona-fide pipeline task (Fazio et al., 1995) for chronically prevention-focused participants, while also providing evidence that situational prevention focus insulates individuals from misattributing the valence of simple primes. Studies 4-7 showed that a strong chronic prevention focus leads to greater negation effects for valent primes in an Affect Misattribution Procedure (Payne et al., 2005), especially when it fits the situation. Furthermore, Study 6 showed that these effects result from stronger weighting of negated valence rather than greater ease in negation. Study 7 showed that the increased negation effect is independent of time pressure. Broad implications are discussed, including how RF effects on basic processing may explain higher-order RF effects.
The superfamiliy of bees, Apiformes, comprises more than 20,000 species. Within the group, the eusocial species like honeybees and bumblebees are receiving increased attention due to their outstanding importance for pollination of many crop and wild plants, their exceptional eusocial lifestyle and complex behavioral repertoire, which makes them an interesting invertebrate model to study mechanisms of sensory perception, learning and memory. In bees and most animals, vision is one of the major senses since almost every living organism and many biological processes depend on light energy. Bees show various forms of vision, e.g. color vision, achromatic vision or polarized vision in order to orientate in space, recognize mating partners, detect suitable nest sites and search for rewarding food sources. To catch photons and convert light energy into electric signals, bees possess compound eyes which consists of thousands of single ommatidia comprising a fixed number of photoreceptors; they are characterized by a specific opsin protein with distinct spectral sensitivity. Different visual demands, e.g. the detection of a single virgin queen by a drone, or the identification and discrimination of flowers during foraging bouts by workers, gave rise to the exceptional sex-specific morphology and physiology of male and female compound eyes in honeybees. Since Karl von Frisch first demonstrated color vision in honeybees more than 100 years ago, much effort has been devoted to gain insight into the molecular, morphological and physiological characteristics of (sex-specific) bee compound eyes and the corresponding photoreceptors. However, to date, almost nothing is known about the underlying mechanisms during pupal development which pattern the retina and give rise to the distinct photoreceptor distribution. Hence, in Chapter 2 and 3 I aimed to better understand the retinal development and photoreceptor determination in the honeybee eye. In a first step, the intrinsic temporal expression pattern of opsins within the retina was evaluated by quantifying opsin mRNA expression levels during the pupal phase of honeybee workers and drones. First results revealed that honeybee workers and drones express three different opsin genes, UVop, BLop and Lop1 during pupal development which give rise to an ultraviolet, blue, and green-light sensitive photoreceptor. Moreover, opsin expression patterns differed between both sexes and the onset of a particular opsin occurred at different time points during retinal development. Immunostainings of the developing honeybee retina in Chapter 2 showed that at the beginning of pupation the retina consist only of a thin hypodermis. However, at this stage all retinal structures are already present. From about mid of pupation, opsin expression levels increase and goes hand in hand with the differentiation of the rhabdoms, suggesting a two-step process in photoreceptor development and differentiation in the honeybee compound eye. In a first step the photoreceptor cells meet its fate during late pupation; in a second step, the quantity of opsin expression in each photoreceptor strongly increase up to the 25-fold shortly after eclosion. To date, the underlying mechanisms leading to different photoreceptor types have been intensively studied in the fruit fly, Drosophila melanogaster, and to some extend in butterflies. Interestingly, the molecular mechanisms seemed to be conserved within insects and e.g. the two transcription factors, spalt and spineless, which have been shown to be essential for photoreceptor determination in flies and butterflies, have been also identified in the honeybee. In chapter 3, I investigated the expression patterns of both transcription factors during pupal development of honeybee workers and showed that spalt is mainly expressed during the first few pupal stages which might correlate with the onset of BLop expression. Further, spineless showed a prominent peak at mid of pupation which might initiates the expression of Lop1. However, whether spalt and spineless are also essential for photoreceptor determination in the honeybee has still to be investigated, e.g. by a knockdown/out of the respective transcription factor during retinal development which leads to a spectral phenotype, e.g. a dichromatic eye. Such spectral phenotypes can then be tested in behavioral experiments in order to test the function of specific photoreceptors for color perception and the entrainment of the circadian clock. In order to evaluate the color discrimination capabilities of bees and the quality of color perception, a reliable behavioral experiment under controlled conditions is a prerequisite. Hence, in chapter 4, I aimed to establish the visual PER paradigm as a suitable method for behaviorally testing color vision in bees. Since PER color vision has considered to be difficult in bees and was not successful in Western honeybees without ablating the bee’s antennae or presenting color stimuli in combination with other cues for several decades, the experimental setup was first established in bumblebees which have been shown to be robust and reliable, e.g. during electrophysiological recordings. Workers and drones of the bufftailed bumblebee, Bombus terrestris were able to associate different monochromatic light stimuli with a sugar reward and succeeded in discriminating a rewarded color stimulus from an unrewarded color stimulus. They were also able to retrieve the learned stimulus after two hours, and workers successfully transferred the learned information to a new behavioral context. In the next step, the experimental setup was adapted to honeybees. In chapter 5, I tested the setup in two medium-sized honeybees, the Eastern honeybee, Apis cerana and the Western honeybee, Apis mellifera. Both honeybee species were able to associate and discriminate between two monochromatic light stimuli, blue and green light, with peak sensitivities of 435 nm and 528 nm. Eastern and Western honeybees also successfully retrieve the learned stimulus after two hours, similar to the bumblebees. Visual conditioning setups and training protocols in my study significantly differed from previous studies using PER conditioning. A crucial feature found to be important for a successful visual PER conditioning is the duration of the conditioned stimulus presentation. In chapter 6, I systematically tested different length of stimuli presentations, since visual PER conditioning in earlier studies tended to be only successful when the conditioned stimulus is presented for more than 10 seconds. In this thesis, intact honeybee workers could successfully discriminate two monochromatic lights when the stimulus was presented 10 s before reward was offered, but failed, when the duration of stimulus presentation was shorter than 4 s. In order to allow a more comparable conditioning, I developed a new setup which includes a shutter, driven by a PC based software program. The revised setup allows a more precise and automatized visual PER conditioning, facilitating performance levels comparable to olfactory conditioning and providing now an excellent method to evaluate visual perception and cognition of bees under constant and controlled conditions in future studies.
The work presented in this thesis covers the effects of early-life adversity in the context of altered serotonin (5-HT; 5-hydroxytryptamine) system functioning in mice. The main body is focussing on a screening approach identifying molecular processes, potentially involved in distinct behavioural manifestations that emerge from or are concomitant with early adversity and, with regard to some behavioural manifestations, dependent on the functioning of the 5-HT system.
As a consequence of the financial crisis in 2008/09, some economists have expressed doubts about the adequacy of theoretical models, especially those that claim to model financial markets and banks. Because of these doubts, some economists are following a new paradigm based on a monetary theory rather than a commodity theory. The main difference between these two views is that in the commodity theory money does not play an essential role, whereas in a money economy every transaction is settled with money. It is therefore essential to clarify whether a theory that includes money comes to other conclusions than a theory that leaves money out.
Based on this problem, the second chapter compares the conclusions from the commodity logic of the financial system - modeled by the loanable funds theory - with the monetary logic. Following the review of the conclusions, I describe three theories about banks. The so-called endogenous money creation theory, in which the central banks control the lending of banks through prices, describes our world best.
In the third chapter, I use the endogenous money creation theory for modelling the bank credit market. In this model, banks act according to profit maximization, whereby income from lending business is generated and the costs of credit default risk and refinancing costs (including regulatory requirements) are incurred. These are the determinants of the supply of credit, which meets the demand for credit on the credit market. Credit demand is determined by borrowers who borrow from banks for consumption or investment purposes. The interplay between loan supply and demand for credit results in the equilibrium loan interest rate and the equilibrium loan volume that banks grant to non-banks. The supply and demand sides interacting on the credit market are empirically estimated for Germany over the period 1999-2014 based on the theoretical model using a disequilibirum framework, showing that the determinants from the theoretical model are statistically significant.
Building on the theoretical banking model, the fourth chapter extends the model to include the bond market. In contrast to the description in the commodity theory, the bank loan market and the bond market are fundamentally different. On the one hand, banks create money according to the endogenous money creation theory. Once the money is in circulation, non-banks can redistribute it by either using it for the purchase of goods or borrowing it for longer periods. Due to the focus on the financial system in this dissertation, the case is considered in which money is lent over the longer term. The motive of the suppliers in the bond market, i.e. those who want to lend money, is similar to that of banks, driven by profit maximization. Suppliers can generate income from interest on bonds. Costs arise from the opportunity costs of holding money as deposits, the credit default of the debtor and price losses due to changes in interest rates. The logic described is based on the idea that banks create money, i.e. they are originators of money, and the money is redistributed on the bond market and thus used several times. The two markets are linked on both the supply and demand sides. On the one hand, banks refinance themselves on the bond market in order to reduce the maturity transformation resulting from lending. In addition, consumers of credit have the option of requesting either bank loans or loans on the bond market.
After the description of the theoretical framework of the financial system consisting of the banking and bond market, the fifth chapter follows the application of the model for Quantitative Easing. It should be noted here that Quantitative Easing already influences the behaviour of credit consumers and suppliers when the central bank announces it. The four major central banks (Bank of Japan, Bank of England, Federal Reserve Bank and European Central Bank) have used the unconventional instrument of buying up bonds due to the continuing recession and the already low short-term interest rates. In the theoretical model, the central bank already influences bond market rates through the announcement, resulting in decreasing risk premiums, as the central bank acts as a lender of confidence, decreasing interest expectations (at least in the short term) and decreasing long-term interest rates overall. These three hypotheses are tested using empirical methods for the Euro area.
The human-bacterial pathogen interaction is a complex process that results from
a prolonged evolutionary arms race in the struggle for survival. The pathogen employs
virulence strategies to achieve host colonization, and the latter counteracts using defense
programs. The encounter of both organisms results in drastic physiological changes
leading to stress, which is an ancient response accompanying infection. Recent evidence
suggests that the stress response in the host converges with the innate immune pathways
and influences the outcome of infection. However, the contribution of stress and the exact
mechanism(s) of its involvement in host defense remain to be elucidated. Using the model
bacterial pathogen Shigella flexneri, and comparing it with the closely related pathogen
Salmonella Typhimurium, this study investigated the role of host stress in the outcome of
infection.
Shigella infection is characterized by a pronounced pro-inflammatory response
that causes intense stress in host tissues, particularly the intestinal epithelium, which
constitutes the first barrier against Shigella colonization. In this study, inflammatory
stress was simulated in epithelial cells by inducing oxidative stress, hypoxia, and cytokine
stimulation. Shigella infection of epithelial cells exposed to such stresses was strongly
inhibited at the adhesion/binding stage. This resulted from the depletion of sphingolipidrafts
in the plasma membrane by the stress-activated sphingomyelinases. Interestingly,
Salmonella adhesion was not affected, by virtue of its flagellar motility, which allowed the
gathering of bacteria at remaining membrane rafts. Moreover, the intracellular replication
of Shigella lead to a similar sphingolipid-raft depletion in the membrane across adjacent
cells inhibiting extracellular bacterial invasion.
Additionally, this study shows that Shigella infection interferes with the host stress
granule-formation in response to stress. Interestingly, infected cells exhibited a nuclear
depletion of the global RNA-binding stress-granule associated proteins TIAR and TIA-1
and their accumulation in the cytoplasm.
Overall, this work investigated different aspects of the host stress-response in the
defense against bacterial infection. The findings shed light on the importance of the host
stress-pathways during infection, and improve the understanding of different strategies
in host-pathogen interaction.
This dissertation contributes to the empirical analysis of economic development. The continuing poverty in many Sub-Saharan-African countries as well as the declining trend in growth in the advanced economies that was initiated around the turn of the millennium raises a number of new questions which have received little attention in recent empirical studies. Is culture a decisive factor for economic development? Do larger financial markets trigger positive stimuli with regard to incomes, or is the recent increase in their size in advanced economies detrimental to economic growth? What causes secular stagnation, i.e. the reduction in growth rates of the advanced economies observable over the past 20 years? What is the role of inequality in the growth process, and how do governmental attempts to equalize the income distribution affect economic development? And finally: Is the process of democratization accompanied by an increase in living standards? These are the central questions of this doctoral thesis.
To facilitate the empirical analysis of the determinants of economic growth, this dissertation introduces a new method to compute classifications in the field of social sciences. The approach is based on mathematical algorithms of machine learning and pattern recognition. Whereas the construction of indices typically relies on arbitrary assumptions regarding the aggregation strategy of the underlying attributes, utilization of Support Vector Machines transfers the question of how to aggregate the individual components into a non-linear optimization problem.
Following a brief overview of the theoretical models of economic growth provided in the first chapter, the second chapter illustrates the importance of culture in explaining the differences in incomes across the globe. In particular, if inhabitants have a lower average degree of risk-aversion, the implementation of new technology proceeds much faster compared with countries with a lower tendency towards risk. However, this effect depends on the legal and political framework of the countries, their average level of education, and their stage of development.
The initial wealth of individuals is often not sufficient to cover the cost of investments in both education and new technologies. By providing loans, a developed financial sector may help to overcome this shortage. However, the investigations in the third chapter show that this mechanism is dependent on the development levels of the economies. In poor countries, growth of the financial sector leads to better education and higher investment levels. This effect diminishes along the development process, as intermediary activity is increasingly replaced by speculative transactions. Particularly in times of low technological innovation, an increasing financial sector has a negative impact on economic development. In fact, the world economy is currently in a phase of this kind. Since the turn of the millennium, growth rates in the advanced economies have experienced a multi-national decline, leading to an intense debate about "secular stagnation" initiated at the beginning of 2015. The fourth chapter deals with this phenomenon and shows that the growth potentials of new technologies have been gradually declining since the beginning of the 2000s.
If incomes are unequally distributed, some individuals can invest less in education and technological innovations, which is why the fifth chapter identifies an overall negative effect of inequality on growth. This influence, however, depends on the development level of countries. While the negative effect is strongly pronounced in poor economies with a low degree of equality of opportunity, this influence disappears during the development process. Accordingly, redistributive polices of governments exert a growth-promoting effect in developing countries, while in advanced economies, the fostering of equal opportunities is much more decisive.
The sixth chapter analyzes the growth effect of the political environment and shows that the ambiguity of earlier studies is mainly due to unsophisticated measurement of the degree of democratization. To solve this problem, the chapter introduces a new method based on mathematical algorithms of machine learning and pattern recognition. While the approach can be used for various classification problems in the field of social sciences, in this dissertation it is applied for the problem of democracy measurement. Based on different country examples, the chapter shows that the resulting SVMDI is superior to other indices in modeling the level of democracy. The subsequent empirical analysis emphasizes a significantly positive growth effect of democracy measured via SVMDI.
This work summarizes the results of studies on several major aspects of platelet activation and platelet receptor regulation. Therefore, this thesis is divided into four parts.
Platelet activation and aggregation at sites of vascular injury is critical to prevent excessive blood loss, but may also lead to life-threatening ischemic disease states, such as myocardial infarction and stroke. Agonist-induced elevation in cytosolic Ca2+ concentrations is essential for platelet activation in hemostasis and thrombosis. The principal route of Ca2+ influx in platelets is store-operated calcium entry (SOCE). The calcium sensor molecule stromal interaction molecule 1 (STIM1) regulates SOCE by activating the membrane calcium channel protein Orai1, but the exact mechanisms of this interaction are not fully understood. Using affinity chromatography to screen for STIM1 interacting proteins in platelets, bridging integrator 2 (BIN2), an adapter protein belonging to the family of BAR proteins that is mainly expressed in the hematopoietic system, was identified. Newly generated BIN2 KO mice were viable and fertile but their platelets displayed markedly impaired SOCE in response to thapsigargin (TG) as well as agonists acting on immunoreceptor tyrosine-based activation motif (ITAM) or G protein-coupled receptors. This SOCE defect resulted in impaired (hem)ITAM induced platelet activation, aggregate formation under flow and procoagulant activity. As a consequence, mice lacking BIN2 in platelets were protected from occlusive arterial thrombus formation and thrombo-inflammatory cerebral infarct progression in a model of experimental stroke. These results identify BIN2 as a critical regulator of platelet SOCE in thrombosis and thrombo-inflammatory disease.
Integrin αIIbβ3 plays a central role in the adhesion and aggregation of platelets. Integrin activation requires the transmission of a signal from the small cytoplasmic tails of the α or β
subunit to the large extracellular domains resulting in conformational changes of the extracellular domains to enable ligand binding. It was hypothesized that Hic-5 is a novel regulator of integrin αIIbβ3 activation in mice. As demonstrated in the second part of this thesis, lack of Hic-5 had no detectable effect on platelet integrin activation and function in vitro and in vivo under all tested conditions. These results indicate that Hic-5 is dispensable for integrin αIIbβ3 activation and consequently for arterial thrombosis and hemostasis in mice.
The Rho GTPase family members RhoA and Rac1 play major roles in platelet activation at sites of vascular injury. Little is known about possible redundant functions of these Rho GTPases in regulating platelet function. To investigate functional redundancies of RhoA and Rac1 in platelet production and function, mice with MK- and platelet-specific double- deficiencies in RhoA and Rac1 were generated. RhoA/Rac1 double-deficiency phenocopied the respective single knockouts without any additional effects in the double-knockout animals, demonstrating for the first time a functional non-redundancy of RhoA and Rac1 in platelet function.
Antibodies against platelet glycoproteins (GP) trigger platelet destruction in immune thrombocytopenia (ITP) by binding to Fcγ receptors (FcγRs) on immune cells. However, antibodies against the platelet collagen receptor GPVI exert powerful anti-thrombotic action in vivo by inducing ectodomain shedding of the receptor associated with a transient thrombocytopenia. As shown in the final part of this thesis, blockade or deficiency of the inhibitory FcγRIIB abolished sequestration of anti-GPVI opsonized platelets in the hepatic vasculature and GPVI shedding. This process was mediated by liver sinusoidal endothelial cells (LSEC), the major FcγRIIB expressing cell type in the body. Furthermore, LSEC FcγRIIB mediated hepatic platelet sequestration and contributed to thrombocytopenia in mice treated with antibodies against αIIbβ3, the major target antigen in human ITP. These results reveal a novel and unexpected function of hepatic FcγRIIB in the processing of antibody-opsonized platelets.
Panic Disorder (PD) is characterized by unexpected, recurrent panic attacks, which are not restricted to certain situations, medication or stimuli. Like other anxiety disorders, PD is a multifactorial disorder and develops through the interaction of genetic and environmental risk factors. Despite an estimated heritability of up to 48%, no distinct genetic mechanism could be revealed yet. A dysregulation of the stress response has been shown in patients with PD and several studies could find an association of components of the corticotropin-releasing factor (CRF) system with PD. The corticotropin releasing hormone receptor 1 (CRHR1) is the main receptor of CRF in the brain and thus a crucial regulator of cerebral CRF signaling. Recent genetic studies found an association of certain CRHR1 single nucleotide polymorphisms (SNPs) with PD and other anxiety disorders. Among the associated CRHR1 SNPs, rs17689918 showed further evidence in a multilevel study regulating CRHR1 gene expression in panic-relevant brain regions and affecting brain activation in fMRI experiments, as well as flight behavior in a behavioral avoidance task (Weber et al, 2015). Here, we aimed to investigate the underlying neurogenetic and neurobiological mechanisms, by which the rs17689918 risk allele affects CRHR1 gene expression and receptor function, and its putative function in the pathophysiology of PD.
Due to its intronic position and the predicted change of splicing regulatory elements by the risk allele of rs17689918, the expression of alternative spliced CRHR1 isoforms was investigated using quantitative real-time PCR (qPCR) in a human post-mortem brain tissue sample. Of eight known CRHR1 isoforms, expression of three CRHR1 isoforms and the CRHR1-IT1-CRHR1 readthrough transcript variant 5 – all expressing the seven transmembrane domains needed for functional receptors – was analyzed. Subsequently, electrophysiological assays were developed to measure the receptor activity of differentially expressed CRHR1 isoforms via co-expressed Kir2.3 potassium channels in vitro. In a second approach, possible epigenetic regulation of CRHR1 expression by rs17689918 was investigated by analyses of DNA methylation patterns of a CpG Island within the CRHR1 promoter region, firstly in a case-control sample for PD and secondly in a healthy control sample, separated in high and low anxious individuals. To investigate a possible gene × epigene × environment interaction, the impact of early life stress by means of childhood trauma was evaluated via the childhood trauma questionnaire (CTQ). Finally, consequences of differential DNA methylation of the CRHR1 promoter region on gene expression were investigated by luciferase-based reporter gene assays in vitro.
The expression of CRHR1β was significantly decreased in amygdalae and midbrains of risk allele carriers. The expression of CRHR1-IT1-CRHR1 readthrough transcript variant 5 was significantly increased in forebrains and midbrains of risk allele carriers. All other analyzed isoforms showed no differences in expression between non-risk and risk allele carriers of rs17689918. The electrophysiological recordings of membrane potential showed an activation of Kir2.3 channels by CRHR1β in contrast to an inconsistent mix of activation and inhibition of Kir2.3 by the main isoform CRHR1α. DNA methylation of the CRHR1 promoter region was significantly reduced in panic disorder patients, as well as in high anxious individuals of an independent healthy control sample, but no direct relation to the rs17689918 risk allele could be discerned. However, the combination of carrying the risk allele, low DNA methylation and high CTQ scores lead to increased sum scores in the Beck Anxiety Inventory (BAI) in healthy individuals. Functional analyses revealed an activation of gene expression by decreased DNA methylation of the promoter region in vitro.
Our results revealed that rs17689918 regulates CRHR1 function by increasing the expression of alternative transcript variants with altered function. Our analyses of DNA methylation revealed decreased methylation as a new risk factor for panic disorder and high anxious behavior, which in combination with other risk factors like childhood trauma and the rs17689918 risk allele might further increase cognitive and somatic anxiety symptoms. This supports the role of CRHR1 as a plasticity gene of anxiety behavior, i.e. a gene that is highly regulated by epigenetic or post-transcriptional mechanisms in response to environmental stressors. By its role in CRF signaling, the dysregulation of CRHR1 might extensively affect the stress response and contribute to the pathophysiology of stress-related disorders like PD. The understanding of the underlying mechanisms, especially the genetic and epigenetic regulation, would however enhance CRHR1 as a target of improved future therapeutics for PD and other anxiety disorders.
Kritische Knochendefekte stellen heutzutage ein ungelöstes Problem in der klinischen Praxis dar, da die verfügbaren prothetischen Optionen oft die mechanische Anpassung an das Gewebe nicht gewährleisten oder zu wichtigen immunologischen und Implantat-bedingten Komplikationen führen.
In diesem Kontext ermöglichen Tissue Engineering-Ansätze neue Strategien, um in vitro Zell-Material Interaktionen zu untersuchen und so die Implantatmaterialien zu optimieren.
In dieser Arbeit habe ich Zell-Material Interaktionen eines neuen Kollagen-basierten Scaffolds untersucht, das langfristig als Trägerstruktur für eine zellbasierte Therapie für kritische Knochendefekte entwickelt werden soll. Im Rahmen der Dissertation konnte ich belegen, dass die Kollagen-basierten makroporöse Mikrocarrier für die Zellvermehrung humaner mesenchymaler Stammzellen (MSC) und deren osteogene Differenzierung unter GMP Bedingungen verwendet werden können. Außerdem habe ich die die Kokultur von hämatopoietischen Stammzellen des Knochenmarks und multiplen Myelomzellen funktionell charakterisiert. Ich konnte erstmals Kulturbedingungen etablieren, die die Langzeitkultur ohne die Verwendung von Zytokinen ermöglicht. Mittels dieser Kokultur konnte ich ein Knochenmarknischen-Modell etablieren und die Untersuchung der Expression von zentralen Signalkaskaden der Homöostase dieser Nische untersuchen. Ich konnte die Expression von zwei verschiedenen Isoformen von Osteopontin nachweisen, die in Tiermodellen nicht gefunden werden. Diese Isoformen des Osteopontins habe ich kloniert und die rekombinanten Isoformen exprimiert und ihre Rollen in der Homöostase der Knochenmarknische untersucht.
Critical size bone defects represent nowadays an unresolved problem in the clinical practice, where the available prosthetic options often lack adequate mechanical matching to the host tissue or lead to important immunological and implant-related complications.
In this context, Tissue Engineering approaches promise more effective strategies to study cell-material interactions in vitro and consequently optimize implant materials.
In this work, I investigated the cell-scaffold interactions of a new collagen-based scaffold for a putative cell-based therapy for critical size defects to be developed. In the context of this thesis, I could demonstrate that the collagen-based macroporous microcarriers could be employed for the expansion and osteogenic differentiation of human mesenchymal stromal cells (MSCs) under GMP-compliant conditions. Moreover, I functionally characterized the co-culture of bone marrow hematopoietic stem cells and multiple myeloma cells. I was for the first time able to establish culture conditions allowing their long-term culture in absence of externally supplemented cytokines. Using this co-culture, I was able to establish a bone marrow niche model to investigate the expression of key signaling pathways involved in the niche´s homeostasis. I was able to demonstrate the expression of two different isoforms of Osteopontin, that could not previously be detected in animal models. Finally, I cloned these Osteopontin isoforms, expressed recombinant versions of the isoforms, and investigated their roles in the homeostasis of the bone marrow niche.
Melanoma and Merkel cell carcinoma (MCC) are highly aggressive cancers of the skin that frequently escape immune recognition and acquire resistance to chemotherapeutic agents, which poses a major obstacle to successful cancer treatment. Recently, a new class of therapeutics targeting the programmed cell death-1 (PD-1) immune checkpoint receptor has shown remarkable efficacy in the treatment of both cancers. Blockade of PD-1 on T cells activates cancer-specific immune responses that can mediate tumor regression. The data presented in this Ph.D. thesis demonstrates that PD-1 is also expressed by subsets of cancer cells in melanoma and MCC. Moreover, this work identifies PD-1 as a novel tumor cell-intrinsic growth receptor, even in the absence of T cell immunity. PD-1 is expressed by tumorigenic cell subsets in melanoma patient samples and established human and murine cell lines that also co-express ABCB5, a marker of immunoregulatory tumor- initiating cells in melanoma. Consistently, melanoma-expressed PD-1 downmodulates T effector cell functions and increases the intratumoral frequency of tolerogenic myeloid- derived suppressor cells. PD-1 inhibition on melanoma cells by RNA interference, blocking antibodies, or mutagenesis of melanoma-PD-1 signaling motifs suppresses tumor growth in immunocompetent, immunocompromised, and PD-1-deficient tumor graft recipient mice. Conversely, melanoma-specific PD-1 overexpression enhances tumorigenicity, including in mice lacking adaptive immunity. Engagement of melanoma- PD-1 by its ligand PD-L1 promotes tumor growth, whereas melanoma-PD-L1 inhibition or knockout of host-PD-L1 attenuates growth of PD-1-positive melanomas. Mechanistically, the melanoma-PD-1 receptor activates mTOR signaling mediators, including ribosomal protein S6. In a proof-of-concept study, tumoral expression of phospho-S6 in pretreatment tumor biopsies correlated with clinical responses to anti-PD-1 therapy in melanoma patients. In MCC, PD-1 is similarly co-expressed by ABCB5+ cancer cell subsets in clinical tumor specimens and established human cell lines. ABCB5 renders MCC cells resistant to the standard-of-care chemotherapeutic agents, carboplatin and etoposide. Antibody-mediated ABCB5 blockade reverses chemotherapy resistance and inhibits tumor xenograft growth by enhancing chemotherapy-induced tumor cell killing. Furthermore, engagement of MCC-expressed PD-1 by its ligands, PD-L1 and PD-L2, promotes proliferation and activates MCC-intrinsic mTOR signaling. Consistently, antibody- mediated PD-1 blockade inhibits MCC tumor xenograft growth and phosphorylation of mTOR effectors in immunocompromised mice. In summary, these findings identify cancer cell-intrinsic functions of the PD-1 pathway in tumorigenesis and suggest that blocking melanoma- and MCC-expressed PD-1 might contribute to the striking clinical efficacy of anti-PD-1 therapy. Additionally, these results establish ABCB5 as a previously unrecognized chemoresistance mechanism in MCC.
This work considered the frequency-modulated balanced steady-state free precession (fm-bSSFP) sequence as a tool to provide banding free bSSFP MR images. The sequence was implemented and successfully applied to suppress bandings in various in vitro and in vivo examples. In combination with a radial trajectory it is a promising alternative for standard bSSFP applications. First, two specialized applications were shown to establish the benefits of the acquisition strategy in itself. In real time cardiac imaging, it was shown that the continuous shift in frequency causes a movement of the bandings across the FOV. Thus, no anatomical region is constantly impaired, and a suitable timeframe can be found to examine all important structures. Furthermore, a combination of images with different artifact positions, similar to phase-cycled acquisitions is possible. In this way, fast, banding-free imaging of the moving heart was realized. Second, acquisitions with long TR were shown. While standard bSSFP suffers from increasing incidence of bandings with higher TR values, the frequency-modulated approach provided banding free images, regardless of the TR.
A huge disadvantage of fm-bSSFP, in combination with the radial trajectory, is the decrease in signal intensity. In this work a specialized reconstruction method, the multifrequency reconstruction for frequency-modulated bSSFP (Muffm), was established, which successfully compensated that phenomena. The application of Muffm to several anatomical sites, such as inner ear, legs and cardiac acquisitions, proofed the advantageous SNR of the reconstruction.
Furthermore, fm-bSSFP was applied to the clinically highly relevant task of water-fat separation. Former approaches of a phase-sensitive separation procedure in combination with standard bSSFP showed promising results but failed in cases of high inhomogeneity or high field strengths where banding artifacts become a major issue. The novel approach of using the fm-bSSFP acquisition strategy with the separation approach provided robust, reliable images of high quality. Again, losses in signal intensity could be regained by Muffm, as both approaches are completely compatible.
Opposed to conventional banding suppression techniques, like frequency-scouts or phase-cycling, all reconstruction methods established in this work rely on a single radial acquisition, with scan times similar to standard bSSFP scans. No prolonged measurement times occur and patient time in the scanner is kept as short as possible, improving patient comfort, susceptibility to motion or physiological noise and cost of one scan.
All in all, the frequency-modulated acquisition in combination with specializes reconstruction methods, leads to a completely new quality of images with short acquisition times.
This thesis describes the studies of topological superconductivity, which is predicted to
emerge when pair correlations are induced into the surface states of 2D and 3D topolog-
ical insulators (TIs). In this regard, experiments have been designed to investigate the
theoretical ideas first pioneered by Fu and Kane that in such system Majorana bound
states occur at vortices or edges of the system [Phys. Rev. Lett. 100, 096407 (2008), Phys.
Rev. B 79, 161408 (2009)]. These states are of great interest as they constitute a new
quasiparticle which is its own antiparticle and can be used as building blocks for fault
tolerant topological quantum computing.
After an introduction in chapter 1, chapter 2 of the thesis lays the foundation for the
understanding of the field of topology in the context of condensed matter physics with a
focus on topological band insulators and topological superconductors. Starting from a
Chern insulator, the concepts of topological band theory and the bulk boundary corre-
spondence are explained. It is then shown that the low energy Hamiltonian of mercury
telluride (HgTe) quantum wells of an appropriate thickness can be written as two time
reversal symmetric copies of a Chern insulator. This leads to the quantum spin Hall effect.
In such a system, spin-polarized one dimensional conducting states form at the edges
of the material, while the bulk is insulating. This concept is extended to 3D topological
insulators with conducting 2D surface states. As a preliminary step to treating topological
superconductivity, a short review of the microscopic theory of superconductivity, i.e. the
theory of Bardeen, Cooper, and Shrieffer (BCS theory) is presented. The presence of
Majorana end modes in a one dimensional superconducting chain is explained using the
Kitaev model. Finally, topological band insulators and conventional superconductivity
are combined to effectively engineer p-wave superconductivity. One way to investigate
these states is by measuring the periodicity of the phase of the Josephson supercurrent
in a topological Josephson junction. The signature is a 4π-periodicity compared to the
2π-periodicity in conventional Josephson junctions. The proof of the presence of this
effect in HgTe based Josephson junction is the main goal of this thesis and is discussed in
chapters 3 to 6.
Chapter 3 describes in detail the transport of a 3D topological insulator based weak
link under radio-frequency radiation. The chapter starts with a review of the state of
research of (i) strained HgTe as 3D topological insulator and (ii) the progress of induc-
ing superconducting correlations into the topological surface states and the theoretical
predictions of 3D TI based Josephson junctions. Josephson junctions based on strained
HgTe are successfully fabricated. Before studying the ac driven Josephson junctions, the
dc transport of the devices is analysed. The critical current as a function of temperature
is measured and it is possible to determine the induced superconducting gap. Under
rf illumination Shapiro steps form in the current voltage characteristic. A missing first
step at low frequencies and low powers is found in our devices. This is a signature of
a 4π-periodic supercurrent. By studying the device in a wide parameter range - as a
147148 SUMMARY
function of frequency, power, device geometry and magnetic field - it is shown that the
results are in agreement with the presence of a single gapless Andreev doublet and several
conventional modes.
Chapter 4 gives results of the numerical modelling of the I −V dynamics in a Josephson
junction where both a 2π- and a 4π-periodic supercurrents are present. This is done in
the framework of an equivalent circuit representation, namely the resistively shunted
Josephson junction model (RSJ-model). The numerical modelling is in agreement with
the experimental results in chapter 3. First, the missing of odd Shapiro steps can be
understood by a small 4π-periodic supercurrent contribution and a large number of
modes which have a conventional 2π-periodicity. Second, the missing of odd Shapiro
steps occurs at low frequency and low rf power. Third, it is shown that stochastic processes
like Landau Zener tunnelling are most probably not responsible for the 4π contribution.
In a next step the periodicity of Josephson junctions based on quantum spin Hall
insulators using are investigated in chapter 5. A fabrication process of Josephson junctions
based on inverted HgTe quantum wells was successfully developed. In order to achieve a
good proximity effect the barrier material was removed and the superconductor deposited
without exposing the structure to air. In a next step a gate electrode was fabricated which
allows the chemical potential of the quantum well to be tuned. The measurement of the
diffraction pattern of the critical current Ic due to a magnetic field applied perpendicular
to the sample plane was conducted. In the vicinity to the expected quantum spin Hall
phase, the pattern resembles that of a superconducting quantum interference device
(SQUID). This shows that the current flows predominantly on the edges of the mesa.
This observation is taken as a proof of the presence of edge currents. By irradiating the
sample with rf, missing odd Shapiro steps up to step index n = 9 have been observed. This
evidences the presence of a 4π-periodic contribution to the supercurrent. The experiment
is repeated using a weak link based on a non-inverted HgTe quantum well. This material
is expected to be a normal band insulator without helical edge channels. In this device,
all the expected Shapiro steps are observed even at low frequencies and over the whole
gate voltage range. This shows that the observed phenomena are directly connected
to the topological band structure. Both features, namely the missing of odd Shapiro
steps and the SQUID like diffraction pattern, appear strongest towards the quantum spin
Hall regime, and thus provide evidence for induced topological superconductivity in the
helical edge states.
A more direct way to probe the periodicity of the Josephson supercurrent than using
Shapiro steps is the measurement of the emitted radiation of a weak link. This experiment
is presented in chapter 6. A conventional Josephson junction converts a dc bias V to
an ac current with a characteristic Josephson frequency fJ
= eV /h. In a topological
Josephson junction a frequency at half the Josephson frequency fJ /2 is expected. A
new measurement setup was developed in order to measure the emitted spectrum of a
single Josephson junction. With this setup the spectrum of a HgTe quantum well based
Josephson junction was measured and the emission at half the Josephson frequency fJ /2
was detected. In addition, fJ emission is also detected depending on the gate voltage and
detection frequency. The spectrum is again dominated by half the Josephson emission at
low voltages while the conventional emission is determines the spectrum at high voltages.
A non-inverted quantum well shows only conventional emission over the whole gateSUMMARY 149
voltage and frequency range. The linewidth of the detected frequencies gives a measure
on the lifetime of the bound states: From there, a coherence time of 0.3–4ns for the fJ /2
line has been deduced. This is generally shorter than for the fJ line (3–4ns).
The last part of the thesis, chapter 7, reports on the induced superconducting state
in a strained HgTe layer investigated by point-contact Andreev reflection spectroscopy.
For the experiment, a HgTe mesa was fabricated with a small constriction. The diameter
of the orifice was chosen to be smaller than the mean free path estimated from magne-
totransport measurements. Thus one gets a ballistic point-contact which allows energy
resolved spectroscopy. One part of the mesa is covered with a superconductor which
induces superconducting correlations into the surface states of the topological insulator.
This experiment therefore probes a single superconductor normal interface. In contrast to
the Josephson junctions studied previously, the geometry allows the acquisition of energy
resolved information of the induced superconducting state through the measurement
of the differential conductance dI/dV as a function of applied dc bias for various gate
voltages, temperatures and magnetic fields. An induced superconducting order parame-
ter of about 70µeV was extracted but also signatures of the niobium gap at the expected
value around Δ Nb
≈ 1.1meV have been found. Simulations using the theory developed by
Blonder, Tinkham and Klapwijk and an extended model taking the topological surface
states into account were used to fit the data. The simulations are in agreement with a
small barrier at the topological insulator-induced topological superconductor interface
and a high barrier at the Nb to topological insulator interface. To understand the full con-
ductance curve as a function of applied voltage, a non-equilibrium driven transformation
is suggested. The induced superconductivity is suppressed at a certain bias value due to
local electron population. In accordance with this suppression, the relevant scattering
regions change spatially as a function of applied bias.
To conclude, it is emphasized that the experiments conducted in this thesis found
clear signatures of induced topological superconductivity in HgTe based quantum well
and bulk devices and opens up the avenue to many experiments. It would be interesting
to apply the developed concepts to other topological matter-superconductor hybrid
systems. The direct spectroscopy and manipulation of the Andreev bound states using
circuit quantum electrodynamic techniques should be the next steps for HgTe based
samples. This was already achieved in superconducting atomic break junctions by the
group in Saclay [Science 2015, 349, 1199-1202 (2015)]. Another possible development
would be the on-chip detection of the emitted spectrum as a function of the phase φ
through the junction. In this connection, the topological junction needs to be shunted
by a parallel ancillary junction. Such a setup would allow the current phase relation
I(φ) directly and the lifetime of the bound states to be measured directly. By coupling
this system to a spectrometer, which can be another Josephson junction, the energy
dependence of the Andreev bound states E(φ) could be obtained. The experiments on
the Andreev reflection spectroscopy described in this thesis could easily be extended to
two dimensional topological insulators and to more complex geometries, like a phase
bias loop or a tunable barrier at the point-contact. This work might also be useful for
answering the question how and why Majorana bound states can be localized in quantum
spin Hall systems.
This work is concerned with the numerical approximation of solutions to models that are used to describe atmospheric or oceanographic flows. In particular, this work concen- trates on the approximation of the Shallow Water equations with bottom topography and the compressible Euler equations with a gravitational potential. Numerous methods have been developed to approximate solutions of these models. Of specific interest here are the approximations of near equilibrium solutions and, in the case of the Euler equations, the low Mach number flow regime. It is inherent in most of the numerical methods that the quality of the approximation increases with the number of degrees of freedom that are used. Therefore, these schemes are often run in parallel on big computers to achieve the best pos- sible approximation. However, even on those big machines, the desired accuracy can not be achieved by the given maximal number of degrees of freedom that these machines allow. The main focus in this work therefore lies in the development of numerical schemes that give better resolution of the resulting dynamics on the same number of degrees of freedom, compared to classical schemes.
This work is the result of a cooperation of Prof. Klingenberg of the Institute of Mathe- matics in Wu¨rzburg and Prof. R¨opke of the Astrophysical Institute in Wu¨rzburg. The aim of this collaboration is the development of methods to compute stellar atmospheres. Two main challenges are tackled in this work. First, the accurate treatment of source terms in the numerical scheme. This leads to the so called well-balanced schemes. They allow for an accurate approximation of near equilibrium dynamics. The second challenge is the approx- imation of flows in the low Mach number regime. It is known that the compressible Euler equations tend towards the incompressible Euler equations when the Mach number tends to zero. Classical schemes often show excessive diffusion in that flow regime. The here devel- oped scheme falls into the category of an asymptotic preserving scheme, i.e. the numerical scheme reflects the behavior that is computed on the continuous equations. Moreover, it is shown that the diffusion of the numerical scheme is independent of the Mach number.
In chapter 3, an HLL-type approximate Riemann solver is adapted for simulations of the Shallow Water equations with bottom topography to develop a well-balanced scheme. In the literature, most schemes only tackle the equilibria when the fluid is at rest, the so called Lake at rest solutions. Here a scheme is developed to accurately capture all the equilibria of the Shallow Water equations. Moreover, in contrast to other works, a second order extension is proposed, that does not rely on an iterative scheme inside the reconstruction procedure, leading to a more efficient scheme.
In chapter 4, a Suliciu relaxation scheme is adapted for the resolution of hydrostatic equilibria of the Euler equations with a gravitational potential. The hydrostatic relations are underdetermined and therefore the solutions to that equations are not unique. However, the scheme is shown to be well-balanced for a wide class of hydrostatic equilibria. For specific classes, some quadrature rules are computed to ensure the exact well-balanced property. Moreover, the scheme is shown to be robust, i.e. it preserves the positivity of mass and energy, and stable with respect to the entropy. Numerical results are presented in order to investigate the impact of the different quadrature rules on the well-balanced property.
In chapter 5, a Suliciu relaxation scheme is adapted for the simulations of low Mach number flows. The scheme is shown to be asymptotic preserving and not suffering from excessive diffusion in the low Mach number regime. Moreover, it is shown to be robust under certain parameter combinations and to be stable from an Chapman-Enskog analysis.
Numerical results are presented in order to show the advantages of the new approach.
In chapter 6, the schemes developed in the chapters 4 and 5 are combined in order to investigate the performance of the numerical scheme in the low Mach number regime in a gravitational stratified atmosphere. The scheme is shown the be well-balanced, robust and stable with respect to a Chapman-Enskog analysis. Numerical tests are presented to show the advantage of the newly proposed method over the classical scheme.
In chapter 7, some remarks on an alternative way to tackle multidimensional simulations are presented. However no numerical simulations are performed and it is shown why further research on the suggested approach is necessary.
In three studies, we investigated, if and how different modes of presentation - written, auditory, audiovisual (auditory combined with pictures) - affect comprehension of semantically identical materials. Children, beginning from the age of 7, and adults were included into the studies. A vast amount of studies have shown that pictures can facilitate text comprehension (e.g. Carney & Levin, 2002).
Other than the majority of these previous studies, we assessed text comprehension with methods that we assume to allow more differentiated insights into the cognitive processes that - according to current theories - underlie text comprehension. Text comprehension involves at least three levels of mental representations (see Kintsch, 1998). Moreover, text comprehension means constructing a locally and globally coherent mental representation of the text content.
Using a sentence recognition task (see Schmalhofer & Glavanov, 1986), we examined whether the memory of the text surface, the text base, and the situation model differs between written, auditory, and audiovisual text presentation in a sample of 103 8- and 10-year-olds and adults (Study I), and between auditory and audiovisual text presentation in a sample of 106 7-, 9-, and 11-year-olds (Study II). Furthermore, we examined with 155 9- and 11-year-olds, whether the ability to draw inferences to establish local and global coherence differs between written, auditory, and audiovisual text presentation. These inferences were indicated by reaction times to words associated with a protagonist's super- (global) or subordinate (local) goal.
Overall, the results of these three studies taken together, indicate that children up to age 11 do not only have better memory of not only the text surface, but also of the situation model when pictures are added to an auditory text. This effect became apparent in comparison with both auditory and written texts. For the adults, in contrast, we did not find an effect of the presentation mode. Furthermore, both 9- and 11-year-olds were better at establishing global coherence at audiovisual compared to auditory text presentation. Written presentation turned out to be superior to auditory presentation in terms of both local and global coherence.
In order to shrink the size of semiconductor devices and improve their
efficiency at the same time, silicon-based semiconductor devices have
been engineered, until the material almost reaches its performance
limits. As the candidate to be used next in semiconducting devices,
single-wall carbon nanotubes show a great potential due to their
promise of increased device efficiency and their high charge carrier
mobilities in the nanometer size active areas. However, there are
material based problems to overcome in order to imply SWNTs in the
semiconductor devices. SWNTs tend to aggregate in bundles and it is
not trivial to obtain an electronically or chirally homogeneous SWNT
dispersion and when it is done, a homogeneous thin film needs to be
produced with a technique that is practical, easy and scalable. This
work was aimed to solve both of these problems.
In the first part of this study, six different polymers, containing
fluorene or carbazole as the rigid part and bipyridine, bithiophene or
biphenyl as the accompanying copolymer unit, were used to selectively
disperse semiconducting SWNTs. With the data obtained from
absorption and photoluminescence spectroscopy of the corresponding
dispersions, it was found out that the rigid part of the copolymer plays a
primary role in determining its dispersion efficiency and electronic
sorting ability. Within the two tested units, carbazole has a higher π
electron density. Due to increased π−π interactions, carbazole
containing copolymers have higher dispersion efficiency. However, the
electronic sorting ability of fluorene containing polymers is superior.
Chiral selection of the polymers in the dispersion is not directly
foreseeable from the selection of backbone units. At the end, obtaining a monochiral dispersion is found to be highly dependent on the used raw
material in combination to the preferred polymer.
Next, one of the best performing polymers due to high chirality
enrichment and electronic sorting ability was chosen in order to
disperse SWNTs. Thin films of varying thickness between 18 ± 5 to
755o±o5 nm were prepared using vacuum filtration wet transfer method
in order to analyze them optically and electronically.
The scalability and efficiency of the integrated thin film production
method were shown using optical, topographical and electronic
measurements. The relative photoluminescence quantum yield of the
radiative decay from the SWNT thin films was found to be constant for
the thickness scale. Constant roughness on the film surface and linearly
increasing concentration of SWNTs were also supporting the scalability
of this thin film production method. Electronic measurements on bottom
gate top contact transistors have shown an increasing charge carrier
mobility for linear and saturation regimes. This was caused by the
missing normalization of the mobility for the thickness of the active
layer. This emphasizes the importance of considering this dimension for
comparison of different field effect transistor mobilities.
In Magnetic Resonance Imaging (MRI), acquisition of dynamic data may be highly complex due to rapid changes occurred in the object to be imaged. For clinical diagnostic, dynamic MR images require both high spatial and temporal resolution. The speed in the acquisition is a crucial factor to capture optimally dynamics of the objects to obtain accurate diagnosis. In the 90’s, partially parallel MRI (pMRI) has been introduced to shorten scan times reducing the amount of acquired data. These approaches use multi-receiver coil arrays to acquire independently and simultaneously the data.
Reduction in the amount of acquired data results in images with aliasing artifacts. Dedicated methods as such Sensitivity Encoding (SENSE) and Generalized Autocalibrating Partially Parallel Acquisition (GRAPPA) were the basis of a series of algorithms in pMRI.
Nevertheless, pMRI methods require extra spatial or temporal information in order to optimally reconstruct the data. This information is typically obtained by an extra scan or embedded in the accelerated acquisition applying a variable density acquisition scheme.
In this work, we were able to reduce or totally eliminate the acquisition of the training data for kt-SENSE and kt-PCA algorithms obtaining accurate reconstructions with high temporal fidelity.
For dynamic data acquired in an interleaved fashion, the temporal average of accelerated data can generate an artifact-free image used to estimate the coil sensitivity maps avoiding the need of extra acquisitions. However, this temporal average contains errors from aliased components, which may lead to signal nulls along the spectra of reconstructions when methods like kt-SENSE are applied. The use of a GRAPPA filter applied to the temporal average reduces these errors and subsequently may reduce the null components in the reconstructed data. In this thesis the effect of using temporal averages from radial data was investigated. Non-periodic artifacts performed by undersampling radial data allow a more accurate estimation of the true temporal average and thereby avoiding undesirable temporal filtering in the reconstructed images. kt-SENSE exploits not only spatial coil sensitivity variations but also makes use of spatio-temporal correlations in order to separate the aliased signals. Spatio-temporal correlations in kt-SENSE are learnt using a training data set, which consists of several central k-space lines acquired in a separate scan. The scan of these extra lines results in longer acquisition times even for low resolution images. It was demonstrate that limited spatial resolution of training data set may lead to temporal filtering effects (or temporal blurring) in the reconstructed data.
In this thesis, the auto-calibration for kt-SENSE was proposed and its feasibility was tested in order to completely eliminate the acquisition of training data. The application of a prior TSENSE reconstruction produces the training data set for the kt-SENSE algorithm. These training data have full spatial resolution. Furthermore, it was demonstrated that the proposed auto-calibrating method reduces significantly temporal filtering in the reconstructed images compared to conventional kt-SENSE reconstructions employing low resolution training images. However, the performance of auto-calibrating kt-SENSE is affected by the Signal-to-Noise Ratio (SNR) of the first pass reconstructions that propagates to the final reconstructions.
Another dedicated method used in dynamic MRI applications is kt-PCA, that was first proposed for the reconstruction of MR cardiac data. In this thesis, kt-PCA was employed for the generation of spatially resolved M0, T1 and T2 maps from a single accelerated IRTrueFISP or IR-Snapshot FLASH measurement. In contrast to cardiac dynamic data, MR relaxometry experiments exhibit signal at all temporal frequencies, which makes their reconstruction more challenging. However, since relaxometry measurements can be represented by only few parameters, the use of few principal components (PC) in the kt-PCA algorithm can significantly simplify the reconstruction. Furthermore, it was found that due to high redundancy in relaxometry data, PCA can efficiently extract the required information from just a single line of training data.
It has been demonstrated in this thesis that auto-calibrating kt-SENSE is able to obtain high temporal fidelity dynamic cardiac reconstructions from moderate accelerated data avoiding the extra acquisition of training data. Additionally, kt-PCA has been proved to be a suitable method for the reconstruction of highly accelerated MR relaxometry data.
Furthermore, a single central training line is necessary to obtain accurate reconstructions. Both reconstruction methods are promising for the optimization of training data acquisition and seem to be feasible for several clinical applications.
The high infection rates and recent emergence of extremely drug resistant forms of
Mycobacterium tuberculosis pose a significant challenge for global health. The NADH-
dependent enoyl-ACP-reductase InhA of the type II mycobacterial fatty acid biosynthesis
pathway is a well-validated target for inhibiting mycobacterial growth. InhA has been
shown to be inhibited by a variety of compound series. Prominent classes of InhA
inhibitors from literature include diaryl ethers, pyrrolidine carboxamides and arylamides
which can be subjected to further development. Despite the progress in this area, very
few compounds are in clinical development phase. The present work involves a detailed
computational investigation of the binding modes and structure-based optimisation of
pyrrolidine carboxamides as InhA inhibitors.
With substituents of widely varying bulkiness, the pyrrolidine carboxamide dataset
presented a challenge for prediction of binding mode as well as affinity. Using advanced
docking protocols and in-house developed pose selection procedures, the binding modes
of 44 compounds were predicted. The poses from docking were used in short molecular
dynamics (MD) simulations to ascertain the dominant binding conformations for the
bulkier members of the series. Subsequently, an activity-based classification strategy
could be developed to circumvent the affinity prediction problems observed with this
dataset. The prominent motions of the bound ligand and the active site residues were
then ascertained using Essential Dynamics (ED). The information from ED and literature
was subsequently used to design a total of 20 compounds that were subjected to extensive
in-silico evaluations. Finally, the molecular determinants of rapid-reversible binding of
pyrrolidine carboxamides were investigated using long MD simulations.
The purpose of the present work was, in the first part, to investigate the potential of iron-based metal complexes in catalytic borylation reactions with alkyl halides as substrates and B2pin2 as the borylation reagent. Moreover, extended studies of the recently reported, copper mediated borylation reactions of aryl halides were performed, including the screening of substrates and alkoxy bases as well as ligand-screening. Investigations were undertaken on the role of Cu-nanoparticles, which might be involved in this catalytic reaction. Furthermore, Cu-phosphine complexes were synthesized as precursors, but attempts to isolate Cu-boryl species which are intermediates in the proposed catalytic cycle were unsuccessful, although 11B NMR evidence for a Cu-boryl complex was obtained.
In the second part of this work, the alternative, Lewis-acidic diboron(4) compound bis(ethylene glycolato)diboron (B2eg2) was synthesized to compare its reactivity with the reactivity of other diboron(4) compounds (e.g. B2neop2, B2cat2, B2pin2 and B2(NMe2)4). Therefore, reactions of B2eg2 with different Lewis-bases, such as NHCs and phosphines, were performed to investigate the possible formation of sp2-sp3 or sp3-sp3 adducts and ring-expansion reactions (RERs).
The aim was to obtain a better general insight into the reactivity of diboron(4) compounds with Lewis-bases because they are both used as reactants in transition metal-catalyzed and metal-free borylation reactions. Understanding the B–B bond activation process promoted by Lewis-bases provides a new perspective on the reaction pathways available for various borylation reactions.
This thesis will outline studies performed on the fluorescence dynamics of phenyl-benzo-
[c]-tetrazolo-cinnolium chloride (PTC) in alcoholic solutions with varying viscosity using
time-resolved fluoro-spectroscopic methods. Furthermore, the properties of femtosecond
Laguerre-Gaussian (LG) laser pulses will be investigated with respect to their temporal
and spatial features and an approach will be developed to measure and control the spatial
intensity distribution on the time scale of the pulse.
Tetrazolium salts are widely used in biological assays for their low oxidation and reduction
thresholds and spectroscopic properties. However, a neglected feature in these applications
is the advantage that detection of emitted light has over the determination of the
absorbance. To corroborate this, PTC as one of the few known fluorescent tetrazolium
salts was investigated with regard to its luminescent features. Steady-state spectroscopy
revealed how PTC can be formed by a photoreaction from 2,3,5-triphenyl-tetrazolium
chloride (TTC) and how the fluorescence quantum yield behaved in alcoholic solvents
with different viscosity. In the same array of solvents time correlated single photon counting
(TCSPC) measurements were performed and the fluorescence decay was investigated.
Global analysis of the results revealed different dynamics in the different solvents, but
although the main emission constant did change with the solvent, taking the fluorescence
quantum yield into consideration resulted in an independence of the radiative rate from
the solvent. The non-radiative rate, however, was highly solvent dependent and responsible
for the observed solvent-related changes in the fluorescence dynamics. Further studies
with the increased time resolution of femtosecond fluorescence upconversion revealed an
independence of the main emission constant from the excitation energy, however the dynamics
of the cooling processes prior to emission were prolonged for higher excitation
energy. This led to a conceivable photoreaction scheme with one emissive state with a
competing non-radiative relaxation channel, that may involve an intermediate state.
LG laser beams and their properties have seen a lot of scientific attention over the past two
decades. Also in the context of new techniques pushing the limit of technology further to
explore new phenomena, it is essential to understand the features of this beam class and
check the consistency of the findings with theoretical knowledge. The mode conversion
of a Hermite-Gaussian (HG) mode into a LG mode with the help of a spiral phase plate
(SPP) was investigated with respect to its space-time characteristics. It was found that
femtosecond LG and HG pulses of a given temporal duration share the same spectrum
and can be characterized using the same well-established methods. The mode conversion
proved to only produce the desired LG mode with its characteristic orbital angular momentum
(OAM), that is conserved after frequency doubling the pulse. Furthermore, it
was demonstrated that temporal shaping of the HG pulse does not alter the result of its
mode-conversion, as three completely different temporal pulse shapes produced the same
LG mode. Further attention was given to the sum frequency generation of fs LG beams
and dynamics of the interference of a HG and a LG pulse. It was found that if both are
chirped with inverse signs the spatial intensity distribution does rotate around the beam
axis on the time scale of the pulse. A strategy was found that would enable a measurement
of these dynamics by upconversion of the interference with a third gate pulse. The results
of which are discussed theoretically and an approach of an experimental realization had
been made. The simulated findings had only been reproduced to a limited extend due to
experimental limitations, especially the interferometric stability of the setup.
In the context of quantum mechanical calculations, the properties of non-adiabatic coupling in a small system, the Shin-Metiu model, is investigated.
The transition from adiabatic to non-adiabatic dynamics is elucidated in modifying the electron-nuclear interaction. This allows the comparison of weakly correlated electron-nuclear motion with the case where the strong correlations determine the dynamics.
The studies of the model are extended to include spectroscopical transitions being present in two-dimensional and degenerate four-wave mixing spectroscopy.
Furthermore, the quantum and classical time-evolution of the coupled motion in the complete electron-nuclear phase space is compared for the two coupling cases.
Additionally, the numerically exact electron flux within the weak coupling case is compared to the Born-Oppenheimer treatment.
In the last part of the thesis, the model is extended to two dimensions.
The system then possesses potential energy surfaces which exhibit a typical 'Mexican hat'-like structure and a conical intersection in the adiabatic representation.
Thus, it is possible to map properties of the system onto a vibronic coupling (Jahn-Teller) hamiltonian. Exact wave-packet propagations as well as nuclear wave-packet dynamics in the adiabatic and diabatic representation are performed.
Humans are continuously exposed to airborne spores of the saprophytic fungus Aspergillus fumigatus. In healthy individuals, local pulmonary host defence mechanisms can efficiently eliminate the fungus without any overt symptoms. In contrast, A. fumigatus causes devastating infections in immunocompromised patients. However, local host immune responses against A. fumigatus lung infections in immunocompromised conditions have remained largely elusive.
Given the dynamic changes in immune cell subsets within tissues upon immunosuppressive therapy, we dissected the spatiotemporal pulmonary immune response after A. fumigatus infection to reveal basic immunological events that fail to effectively control the invasive fungal disease. In different immunocompromised murine models, myeloid but not lymphoid cells were strongly recruited upon infection. Notably, neutrophils and macrophages were recruited to infected lungs in different immunosuppressed regimens. Other myeloid cells, particularly dendritic cells and monocytes were only recruited in the corticosteroid model after infection. Lymphoid cells, particularly CD4+ or CD8+ T-cells and NK cells were highly reduced upon immunosuppression and were not recruited after A. fumigatus infection. Importantly, adoptive CD11b+ myeloid cell transfer rescued immunosuppressed mice from lethal A. fumigatus infection. These findings illustrate that CD11b+ myeloid cells are critical for anti-A. fumigatus defence under immunocompromised conditions.
Despite improved antifungal agents, invasive A. fumigatus lung infections cause a high rate morbidity and mortality in neutropenic patients. Granulocyte transfusions have been tested as an alternative therapy for the management of high-risk neutropenic patients with invasive A. fumigatus infections. To increase the granulocyte yield for transfusion, donors are treated with corticosteroids. Yet, the efficacy of granulocyte transfusion and the functional defence mechanisms of granulocytes collected from corticosteroid treated donors remain largely elusive.
We aimed to assess the efficacy of granulocyte transfusion and functional defence mechanisms of corticosteroid treated granulocytes using mouse models.
In this thesis, we show that transfusion of granulocytes from corticosteroid treated mice did not protect cyclophosphamide immunosuppressed mice against lethal A. fumigatus infection in contrast to granulocytes from untreated mice. Upon infection, increased levels of inflammatory cytokines helped to recruit granulocytes to the lungs without any recruitment defects in corticosteroid treated and infected mice or in cyclophosphamide immunosuppressed and infected mice that have received the granulocytes from corticosteroid treated mice. However, corticosteroid treated human or mouse neutrophils failed to form neutrophil extracellular traps (NETs) in in vitro and in vivo conditions. Further, corticosteroid treated granulocytes exhibited impaired ROS production against A. fumigatus. Notably, corticosteroids impaired the β-glucan receptor Dectin-1 (CLEC7A) on mouse and human granulocytes to efficiently recognize and phagocytize A. fumigatus, which markedly impaired fungal killing. We conclude that corticosteroid treatment of granulocyte donors for increasing neutrophil yields or patients with ongoing corticosteroid treatment could result in deleterious effects on granulocyte antifungal functions, thereby limiting the benefit of granulocyte transfusion therapies against invasive fungal infections.
Abstract
Background: Attention-deficit/ hyperactivity disorder (ADHD) ranges among the most common neurodevelopmental disorders worldwide with a prevalence of 3-12% in childhood and 1-5% for adults. Over the last decade extensive genetic research has been conducted in order to determine its causative genetic factors. None of the so far identified susceptibility genes, however, could explain the estimated ADHD heritability of 76%. In this thesis one of the most promising candidates -Cadherin 13 (Cdh13) - was examined in terms of its influence on the central serotonergic (5-HT) system. In addition to that, the Cdh13 protein distribution pattern was analysed over time.
Methods: The developing serotonergic system was compared over three embryonic and postnatal stages (E13.5, E17.5 and P7) in different Cdh13 genotypes (WT, HZ and KO) using immunohistochemistry and various double staining protocols.
Results: The raphe nuclei of the 5-HT system develop in spite of Cdh13 absence and show a comparable mature constellation. The cells in the KO, however, are slightly more scattered than in the WT. Furthermore the dynamics of their formation is altered, with a transient delay in migration at E13.5. In early developmental stages the total amount of serotonergic cells is reduced in KO and HZ, though their proportional distribution to the raphe nuclei stays constant. Strikingly, at P7 the absolute numbers are comparable again.
Concerning the Cdh13 protein, it shows high concentrations on fibres running through hindbrain and midbrain areas at E13.5. This, however, changes over time, and it becomes more evenly spread until P7. Furthermore, its presence in serotonergic cells could be visualised using confocal microscopy. Since the described pattern is only in parts congruent to the localisation of serotonergic neurons, it is most likely that Cdh13 is present in other developing neurotransmitter systems, such as the dopaminergic one, as well.
Conclusion: It could be proven that Cdh13 is expressed in serotonergic cells and that its knockout does affect the developing serotonergic system to some degree. Its absence, however, only slightly and transiently affects the measured parameters of serotonergic system development, indicating a possible compensation of CDH13 function by other molecules in the case of Cdh13 deficiency. In addition further indicators could be found for an influence of Cdh13 on outgrowth and path finding of neuronal processes.
The analysis of how a general change, an economic shock and a modified institutional framework condition affect the HRM process, provide the motivation for the present dissertation. Thereby, the dissertation concentrates on certain areas of the HRM process, namely compensation, further training and retention, as well as changes and challenges that have been subject to a high degree of public interest in recent years. It consists of three essays, all self-contained and independently readable.
The first essay investigates whether it is possible to keep employees in the establishment by offering further training measures. Therefore, this essay uses a comparison group approach and compares only training participants with those employees who had been selected by the employer to participate in training but had to cancel it for exogenous reasons. From a methodological point of view, by means of Fixed Effects and Diff GMM estimations, the essay also controls for time-variant and invariant unobserved heterogeneity as well as endogeneity of training participation. By simultaneously considering the components from the human capital theory as well as the monopsony theory, the essay shows that portability of general human capital contents and visibility of training, induced by training certificates, independently reduce the retention effect of training. The negative effect is much stronger if training is certified by external institutions and therefore credible. In addition, the effects of visibility and portability are distinct and thus also reduce the retention effect of training separately. However, the total effect of portable, visible and credible training on retention is still positive. Therefore, further training appears to be an effective measure to keep the qualified employees in the establishment.
Second, the attention is on a short-term unpredictable economic shock: Essay 2 analyses whether and to what extent the Great Recession in 2008 and 2009 has had an impact on the individual training behaviour in establishments. From a theoretical point of view, the effects of the crisis on establishments' training activities are ambiguous. On the one hand, the reduced opportunity costs of training argue more in favour of an increase in further training. On the other hand, economic theory suggests decreasing training activities in the crisis because of reduced financial resources, uncertain future prospects, and, therefore, unclear returns on training. Using Difference-in-Differences analyses, this essay avoids endogeneity problems caused by unobservable third factors. The Great Recession in 2008 and 2009 can be seen as an exogenous and time-limited shock: this quasi-experimental setting helps to reveal the causal impact of the crisis on the training intensity and the number of training measures. Results indicate that there is a direct effect of the crisis on individual training activities in 2009 and 2010. This effect is stronger for unskilled employees than for employees with higher skill levels. Furthermore, the negative effect sets in with a time lag and lasts until the year 2010 (although there is already an economic upswing). Numerous analyses are used to check additional heterogeneities in training activities for other employee groups.
Among others, particularly the area of executive compensation was affected by the economic crisis and the ensuing regulations in institutional framework conditions. The third essay of this dissertation deals with the question whether these changes had an impact on the compensation level and structure of executive board members. The focus is on the extent to which executive compensation is converging within and between different exchange segments in Germany. Based on a sample of CEOs and non-CEOs of German DAX and MDAX establishments, the evolution of executive compensation levels and structures (i.e., fractions of base pay, short- and long-term incentives) are examined during the period from 2006 until 2012. The results of descriptive as well as multivariate Fixed Effects analyses indicate isomorphism of both, pay levels and pay structures within (intra-segment-convergence) and between (inter-segment convergence) stock exchange segments especially for CEOs. However, for the other members of the management board (non-CEOs), there is only a convergence of the compensation structure within the segments. The results do not indicate either intra- or inter-segment convergence of salary levels.
Altogether, the three essays of this dissertation provide a selection of the current changes and challenges that HRM has to deal with. From a methodological perspective, all three essays use different applied econometric estimation strategies. In order to eliminate estimation problems caused by time-invariant and variant unobserved heterogeneity and endogeneity, Fixed Effects, Diff GMM as well as Difference-in-Differences approaches are applied. In addition, sample selection, research design as well as identification strategy attempts to avoid estimation bias. The first two essays are based on a linked-employer-employee panel data set and adopt a personnel economic perspective. The third essay uses establishment-level data and is based on institutional theory. The first essay was written in cooperation with Thomas Zwick and the third essay was written in cooperation with Nathalie Haidegger-Rieß and Robert Wagner.
In order to mimic the extracellular matrix for tissue engineering, recent research approaches often involve 3D printing or electrospinning of fibres to scaffolds as cell carrier material. Within this thesis, a micron fibre printing process, called melt electrospinning writing (MEW), combining both additive manufacturing and electrospinning, has been investigated and improved. Thus, a unique device was developed for accurate process control and manufacturing of high quality constructs. Thereby, different studies could be conducted in order to understand the electrohydrodynamic printing behaviour of different medically relevant thermoplastics as well as to characterise the influence of MEW on the resulting scaffold performance.
For reproducible scaffold printing, a commonly occurring processing instability was investigated and defined as pulsing, or in extreme cases as long beading. Here, processing analysis could be performed with the aim to overcome those instabilities and prevent the resulting manufacturing issues. Two different biocompatible polymers were utilised for this study: poly(ε-caprolactone) (PCL) as the only material available for MEW until then and poly(2-ethyl-2-oxazoline) for the first time. A hypothesis including the dependency of pulsing regarding involved mass flows regulated by the feeding pressure and the electrical field strength could be presented. Further, a guide via fibre diameter quantification was established to assess and accomplish high quality printing of scaffolds for subsequent research tasks.
By following a combined approach including small sized spinnerets, small flow rates and high field strengths, PCL fibres with submicron-sized fibre diameters (fØ = 817 ± 165 nm) were deposited to defined scaffolds. The resulting material characteristics could be investigated regarding molecular orientation and morphological aspects. Thereby, an alignment and isotropic crystallinity was observed that can be attributed to the distinct acceleration of the solidifying jet in the electrical field and by the collector uptake. Resulting submicron fibres formed accurate but mechanically sensitive structures requiring further preparation for a suitable use in cell biology. To overcome this handling issue, a coating procedure, by using hydrophilic and cross-linkable star-shaped molecules for preparing fibre adhesive but cell repellent collector surfaces, was used.
Printing PCL fibre patterns below the critical translation speed (CTS) revealed the opportunity to manufacture sinusoidal shaped fibres analogously to those observed using purely viscous fluids falling on a moving belt. No significant influence of the high voltage field during MEW processing could be observed on the buckling phenomenon. A study on the sinusoidal geometry revealed increasing peak-to-peak values and decreasing wavelengths as a function of decreasing collector speeds sc between CTS > sc ≥ 2/3 CTS independent of feeding pressures. Resulting scaffolds printed at 100 %, 90 %, 80 % and 70 % of CTS exhibited significantly different tensile properties, foremost regarding Young’s moduli (E = 42 ± 7 MPa to 173 ± 22 MPa at 1 – 3 % strain). As known from literature, a changed morphology and mechanical environment can impact cell performance substantially leading to a new opportunity of tailoring TE scaffolds.
Further, poly(L-lactide-co-ε-caprolactone-co-acryloyl carbonate) as well as poly(ε-caprolactone-co-acryloyl carbonate) (PCLAC) copolymers could be used for MEW printing. Those exhibit the opportunity for UV-initiated radical cross-linking in a post-processing step leading to significantly increased mechanical characteristics. Here, single fibres of the polymer composed of 90 mol.% CL and 10 mol.% AC showed a considerable maximum tensile strength of σmax = 53 ± 16 MPa. Furthermore, sinusoidal meanders made of PCLAC yielded a specific tensile stress-strain characteristic mimicking the qualitative behaviour of tendons or ligaments. Cell viability by L929 murine fibroblasts and live/dead staining with human mesenchymal stem cells revealed a promising biomaterial behaviour pointing out MEW printed PCLAC scaffolds as promising choice for medical repair of load-bearing soft tissue.
Indeed, one apparent drawback, the small throughput similar to other AM methods, may still prevent MEW’s industrial application yet. However, ongoing research focusses on enlargement of manufacturing speed with the clear perspective of relevant improvement. Thereby, the utilisation of large spinneret sizes may enable printing of high volume rates, while downsizing the resulting fibre diameter via electrical field and mechanical stretching by the collector uptake. Using this approach, limitations of FDM by small nozzle sizes could be overcome. Thinking visionary, such printing devices could be placed in hospitals for patient-specific printing-on-demand therapies one day. Taking the evolved high deposition precision combined with the unique small fibre diameter sizes into account, technical processing of high performance membranes, filters or functional surface finishes also stands to reason.
This work summarizes the results of studies on three major aspects of platelet signaling and of the pathogenesis of immune thrombocytopenia. Therefore, this thesis is divided into three parts. i) Platelet activation and subsequent thrombus formation at sites of vascular injury is crucial for normal hemostasis, but it can also trigger myocardial infarction and stroke. The initial capture of flowing platelets to the injured vessel wall is mediated by the interaction of the glycoprotein (GP) Ib-V-IX complex with von Willebrand factor (vWF) immobilized on the exposed subendothelial extracellular matrix (ECM). The central importance of GPIb for platelet adhesion is well established, whereas GPV is generally considered to be of minor relevance for platelet physiology and thrombus formation. This study intended to clarify the relevance of this receptor during thrombus formation using Gp5-/- mice and mice with different double-deficiencies in GPV and in other platelet receptors. It was found that GPV and the collagen receptor integrin a2b1 have partially redundant functions in collagentriggered platelet aggregation. Further, it was revealed that GPV limits thrombus formation and impairs hemostasis in vivo. The data presented here demonstrate that the protective effect of GPVI-deficiency (another platelet collagen receptor) in arterial thrombosis and ischemic stroke depends on the expression of GPV. Moreover, it was demonstrated that lack of GPV restores the hemostatic function of mice lacking both GPVI and a2b1 or mice lacking GPVI and the C-type lectin receptor 2 (CLEC-2). Conclusively, GPV-depletion or blockade might have the potential to treat hemorrhagic disease states. ii) Platelets contain the two phospholipase (PL) D isoforms, PLD1 and PLD2, both of which presumably become activated upon platelet stimulation. However, the function of PLD in the process of platelet activation and aggregation has not been definitively explored. Thus, PLD-deficient mice were analyzed. Mice lacking PLD1 or PLD2 were viable, fertile and had normal platelet counts. PLD1 was found to be responsible for the inducible PLD-activity in platelets and to contribute to efficient integrin activation under static conditions. Moreover, flow adhesion experiments revealed that PLD1 is essential for efficient GPIb-mediated integrin activation. Consequently, Pld1-/- mice were protected from arterial thrombosis and ischemic brain infarction without affecting tail bleeding times. Hence, inhibition of PLD1 might be a novel approach for antithrombotic therapy. iii) Cellular activation of platelets or immune cells results in increased cytosolic calcium (Ca2+) levels. Store-operated calcium entry (SOCE) via the STIM1-Orai1 axis is the main route of Ca2+ entry downstream of immunoreceptor tyrosine-based activating motif (ITAM) receptor stimulation in mast cells and T cells. However, the requirement of Ca2+-mobilization in Fcg receptor (FcgR)-signaling and the relevance of STIM2 for T cell SOCE have been unclear. To address these questions, genetically modified mice lacking central molecules of the SOCE machinery were analyzed. Ca2+-measurements revealed that both STIM isoforms contribute to Ca2+-mobilization downstream of T cell receptor activation. Additionally, it was found that FcgR stimulation results in SOCE and is mediated by STIM1 and probably Orai1. Animal models of immune thrombocytopenia (ITP) revealed that SOCE is essential for platelet clearance and that both STIM isoforms contribute to the pathology of ITP. Moreover, in this work it was also demonstrated that STIM1 and Orai1 are essential in IgG-mediated systemic anaphylaxis. STIM2 contributes to IgG-mediated, but not to IgE-mediated anaphylaxis. The data indicate that interference with SOCE might become a new strategy to prevent or treat IgG-dependent autoimmune diseases.
A complete simulation system is proposed that can be used as an educational tool by physicians in training basic skills of Minimally Invasive Vascular Interventions. In the first part, a surface model is developed to assemble arteries having a planar segmentation. It is based on Sweep Surfaces and can be extended to T- and Y-like bifurcations. A continuous force vector field is described, representing the interaction between the catheter and the surface. The computation time of the force field is almost unaffected when the resolution of the artery is increased.
The mechanical properties of arteries play an essential role in the study of the circulatory system dynamics, which has been becoming increasingly important in the treatment of cardiovascular diseases. In Virtual Reality Simulators, it is crucial to have a tissue model that responds in real time. In this work, the arteries are discretized by a two dimensional mesh and the nodes are connected by three kinds of linear springs. Three tissue layers (Intima, Media, Adventitia) are considered and, starting from the stretch-energy density, some of the elasticity tensor components are calculated. The physical model linearizes and homogenizes the material response, but it still contemplates the geometric nonlinearity. In general, if the arterial stretch varies by 1% or less, then the agreement between the linear and nonlinear models is trustworthy.
In the last part, the physical model of the wire proposed by Konings is improved. As a result, a simpler and more stable method is obtained to calculate the equilibrium configuration of the wire. In addition, a geometrical method is developed to perform relaxations. It is particularly useful when the wire is hindered in the physical method because of the boundary conditions. The physical and the geometrical methods are merged, resulting in efficient relaxations. Tests show that the shape of the virtual wire agrees with the experiment. The proposed algorithm allows real-time executions and the hardware to assemble the simulator has a low cost.
Fremdschämen or Fremdscham, a negative emotion which arises while observing someone behave inappropriately, comes to fame after the turn of the millennium in german speaking countries. There, they name it literally „other‘s shame“ and it becomes obvious that this emotion happens most commonly while watching TV: reality shows, talent shows and bad comedies. The word even makes it to the dictionaries starting 2009, as its use increases unstoppably in everyday language, starting to get used in more and more situations, seemingly as a synonym of embarrassing or shameful. Still, a look in the emotional research on the subject returns exactly zero results as of 2011, leaving open the question as of what this emotion might be, and what it is not. The present wort aims at explaining not only the phenomenon of Fremdschämen, but also the Emotion behind it - Embarrassment -, at a process level.
Within three self-contained chapters, this dissertation provides new insights into the macroeconomic consequences of income inequality from a global perspective. Following an introduction, which summarizes the main findings and offers a brief overview of trends in income distribution, Chapter 2 evaluates the relationship between the labor share of income and the evolution of aggregate demand. Chapter 3 analyzes the link between income inequality and aggregate saving; and Chapter 4 directly estimates the effect of inequality and public redistribution on economic growth.
During the last decades the number of biologics increased dramatically and several biopharmaceutical drugs such as peptides, therapeutic proteins, hormones, enzymes, vaccines, monoclonal antibodies and antibody-drug conjugates conquered the market. Moreover, administration and local delivery of growth factors has gained substantial importance in the field of tissue engineering. Despite progress that has been made over the last decades formulation and delivery of therapeutic proteins is still a challenge. Thus, we worked on formulation and delivery strategies of therapeutic proteins to improve their biological performance.
Phase I of this work deals with protein stability with the main focus on a liquid protein formulation of the dimeric fusion protein PR-15, a lesion specific platelet adhesion inhibitor. In order to develop an adequate formulation ensuring the stability and bioactivity of PR-15 during storage at 4 °C, a pH screening, a forced degradation and a Design of Experiments (DoE) was performed. First the stability and bioactivity of PR-15 in 50 mM histidine buffer in relation to pH was evaluated in a short-term storage stability study at 25 °C and 40 °C for 4 and 8 weeks using different analytical methods. Additionally, potential degradation pathways of PR-15 were investigated under stressed conditions such as heat treatment, acidic or basic pH, freeze-thaw cycles, light exposure, induced oxidation and induced deamidation during the forced degradation study. Moreover, we were able to identify the main degradation product of PR-15 by performing LC/ESI-MS analysis. Further optimization of the injectable PR 15 formulation concerning pH, the choice of buffer and the addition of excipients was studied in the following DoE and finally an optimal PR-15 formulation was found.
The growth factors BMP-2, IGF-I and TGF-β3 were selected for the differentiation of stem cells for tissue engineering of cartilage and bone in order to prepare multifunctionalized osteochondral implants for the regeneration of cartilage defects.
Silk fibroin (SF) was chosen as biomaterial because of its biocompatibility, mechanical properties and its opportunity for biofunctionalization. Ideal geometry of SF scaffolds with optimal porosity was found in order to generate both tissues on one scaffold.
The growth factors BMP-2 and IGF-I were modified to allow spatially restricted covalent immobilization on the generated porous SF scaffolds. In order to perform site-directed covalent coupling by the usage of click chemistry on two opposite sides of the scaffold, we genetically engineered BMP-2 (not shown in this work; performed by Barbara Tabisz) and IGF-I for the introduction of alkyne or azide bearing artificial amino acids. TGF β3 was immobilized to beads through common EDC/NHS chemistry requiring no modification and distributed in the pores of the entire scaffold.
For this reason protein modification, protein engineering, protein immobilization and bioconjugation are investigated in phase II. Beside the synthesis the focus was on the characterization of such modified proteins and its conjugates. The field of protein engineering offers a wide range of possibilities to modify existing proteins or to design new proteins with prolonged serum half-life, increased conformational stability or improved release rates according to their clinical use.
Site-directed click chemistry and non-site-directed EDC/NHS chemistry were used for bioconjugation and protein immobilization with the aim to underline the preferences of site-directed coupling.
We chose three strategies for the incorporation of alkyne or azide functionality for the performance of click reaction into the protein of interest: diazonium coupling reaction, PEGylation and genetic engineering. Azido groups were successfully introduced into SF by implementation of diazonium coupling and alkyne, amino or acid functionality was incorporated into FGF-2 as model protein by means of thiol PEGylation. The proper folding of FGF-2 after PEGylation was assessed by fluorescence spectroscopy, WST-1 proliferation assay ensured moderate bioactivity and the purity of PEGylated FGF-2 samples was monitored with RP-HPLC. Moreover, the modification of native FGF-2 with 10 kDa PEG chains resulted in enhanced thermal stability.
Additionally, we genetically engineered one IGF-I mutant by incorporating the unnatural amino acid propargyl-L-lysine (plk) at position 65 into the IGF-I amino acid sequence and were able to express hardly verifiable amounts of plk-IGF-I. Consequently, plk-IGF-I expression has to be further optimized in future studies in order to generate plk-IGF-I with higher yields.
Bioconjugation of PEGylated FGF-2 with functionalized silk was performed in solution and was successful for click as well as EDC/NHS chemistry. However, substantial amounts of unreacted PEG-FGF-2 were adsorbed to SF and could not be removed from the reaction mixture making it impossible to expose the advantages of click chemistry in relation to EDC/NHS chemistry. The immobilization of PEG-FGF-2 to microspheres was a trial to increase product yield and to remove unreacted PEG-FGF-2 from reaction mixture. Bound PEG-FGF-2 was visualized by fluorescence imaging or flow cytometry and bioactivity was assessed by analysis of the proliferation of NIH 3T3 cells. However, immobilization on beads raised the same issue as in solution: adsorption caused by electrostatic interactions of positively charged FGF-2 and negatively charged SF or beads. Finally, we were not able to prove superiority of site-directed click chemistry over non-site-directed EDC/NHS.
The skills and knowledge in protein immobilization as well as protein characterization acquired during phase II helped us in phase III to engineer cartilage tissue in biofunctionalized SF scaffolds.
The approach of covalent immobilization of the required growth factors is relevant because of their short in vivo half-lives and aimed at controlling their bioavailability. So TGF-β3 was covalently coupled by means of EDC/NHS chemistry to biocompatible and biostable PMMA beads. Herein, we directly compared bioactivity of covalently coupled and adsorbed TGF-β3. During the so-called luciferase assay bioactivity of covalent coupled as well as adsorbed TGF-β3 on PMMA beads was ensured. In order to investigate the real influence of EDC/NHS chemistry on TGF-β3’s bioactivity, the amount of immobilized TGF-β3 on PMMA beads was determined. Therefore, an ELISA method was established. The assessment of total amount of TGF-β3 immobilized on the PMMA beads allowed as to calculate coupling efficiency. A significantly higher coupling efficiency was determined for the coupling of TGF-β3 via EDC/NHS chemistry compared to the reaction without coupling reagents indicating a small amount of adsorbed TGF-β3. These results provide opportunity to determine the consequence of coupling by means of EDC/NHS chemistry for TGF β3 bioactivity. At first sight, no statistically significant difference between covalent immobilized and adsorbed TGF-β3 was observed regarding relative luciferase activities. But during comparison of total and active amount of TGF-β3 on PMMA beads detected by ELISA or luciferase assay, respectively, a decrease of TGF-β3’s bioactivity became apparent. Nevertheless, immobilized TGF β3 was further investigated in combination with SF scaffolds in order to drive BMSCs to the chondrogenic lineage. According to the results obtained through histological and immunohistochemical studies, biochemical assays as well as qRT-PCR of gene expression from BMSCs after 21 days in culture immobilized TGF-β3 was able to engineer cartilage tissue. These findings support the thesis that local presentation of TGF β3 is superior towards exogenous TGF β3 for the development of hyaline cartilage. Furthermore, we conclude that covalent immobilized TGF β3 is not only superior towards exogenously supplemented TGF-β3 but also superior towards adsorbed TGF-β3 for articular hyaline cartilage tissue engineering. Diffusion processes were inhibited through covalent immobilization of TGF-β3 to PMMA beads and thereby a stable and consistent TGF-β3 concentration was maintained in the target area.
With the knowledge acquired during phase II and III as well as during the studies of Barbara Tabisz concerning the expression and purification of plk-BMP-2 we made considerable progress towards the formation of multifunctionalized osteochondral implants for the regeneration of cartilage defects. However, further studies are required for the translation of these insights into the development of multifunctionalized osteochondral SF scaffolds.
Generation of early human neuroepithelial progenitors from primary cells for biomedical applications
(2018)
Patient-specific induced pluripotent stem cells (iPSCs) emerged as a promising cell source for disease modeling and drug screening as well as a virtually unlimited source for restorative therapy. The thesis deals with three major topics to help realizing biomedical applications with neural stem cells.
To enable the generation of transgene-free iPSCs, alternatives to retroviral reprogramming were developed. Hence, the adaptation and evaluation of reprogramming using excisable lentiviral constructs, Sendai virus (SeV) and synthetic mRNA-based methods was assessed in the first part of this thesis. hiPSCs exhibit the pluripotency markers OCT4, SSEA-4, TRA1-60 which were confirmed by immunofluorescence and flow cytometry. Besides, the potential to differentiate in cell types of all three germ layers was detected, confirming pluripotent identity of proliferating colonies resulting from various reprogramming strategies. However, major differences such as high efficiency with SeV in contrast to a relatively low efficiency with mRNA in regard to passage number and the phenotype of starting fibroblasts were observed. Furthermore, a prolonged clone- and passage-dependent residual presence of viral RNA genes was identified in SeV-iPSCs for up to 23 passages using RT-PCR underlining the importance of careful monitoring of clone selection. In contrast, viral-free reprogramming by synthetic mRNA represents a fully non-integrative approach but requires further refinement to be efficiently applicable to all fibroblasts.
The second part of this thesis deals with the establishment of a rapid monolayer approach to differentiate neural progenitor cells from iPSCs. To achieve this, a two-step protocol was developed allowing first the formation of a stable, primitive NPC line within 7 days which was expanded for 2-3 passages. In a second step, a subsequent adaptation to conditions yielding neural rosette-like NPCs followed. Both neural lines were demonstrated to be expandable, cryopreservable and negative for the pluripotency marker OCT4. Furthermore, a neural precursor identity including SOX1, SOX2, PAX6, Nestin was confirmed by immunofluorescence and quantitative RT-PCR. Moreover, the differentiation resulted in TUJ1-positive neurons and GFAP-positive astrocytes. Nonetheless, the outcome of glial differentiation from primitive NSCs remained low, whereas FGF/EGF-NPCs were efficiently differentiated into GFAP-positive astrocytes which were implicated in a cellular model of the blood brain barrier.
The third and major objective of this study was to generate human early neural progenitor cells from fetal brain tissue with a wide neural differentiation capacity. Therefore, a defined medium composition including small molecules and growth factors capable of modulation of crucial signaling pathways orchestrating early human development such as SHH and FGF was assessed. Indeed, specific culture conditions containing TGFβ inhibitor SB431542, SHH agonist Purmorphamine, GSK3β inhibitor CHIR99021 and basic FGF, but no EGF enabled robust formation of early neuroepithelial progenitor (eNEP) colonies displaying a homogeneous morphology and a high proliferation rate. Moreover, primary eNEPs exhibit a relatively high clonogenicity of more than 23 % and can be monoclonally expanded for more than 45 passages carrying a normal karyotype. Characterization by immunofluorescence, flow cytometry and quantitative RT-PCR revealed a distinct NPC profile including SOX1, PAX6, Nestin and SOX2 and Prominin. Furthermore, primary eNEPs show NOTCH and HES5 activation in combination with non-polarized morphology, indicative of an early neuroepithelial identity. Microarray analysis unraveled SOX11, BRN2 and other HES-genes as characteristic upregulated genes. Interestingly, eNEPs were detected to display ventral midbrain/hindbrain regional identity. The validation of yielded cell types upon differentiation indicates a strong neurogenic potential with more than 90 % of TUJ1-positive neurons. Moreover, astrocytes marked by GFAP and putative myelin structures indicating oligodendrocytes were identified. Electrophysiological recordings revealed functionally active neurons and immunofluorescence indicate GABAergic, glutamatergic, dopaminergic and serotonergic subtypes. Additionally, putative physiological synapse formation was observed by the presence of Synapsin and PSD-95 as well as by ultrastructural examination. Notably, rare neurons stained positive for the peripheral neuronal marker Peripherin suggesting the potential of eNEPS to give rise to cells of neural tube and neural crest origin. By the application of specific differentiation protocols an increase of TH-positive neurons or neural crest-derivatives such as putative A- and C-sensory neurons and mesenchymal cells was identified. Taken together, primary eNEPs might help to elucidate mechanisms of early human neurodevelopment and will serve as a novel source for cell replacement and further biomedical applications.
Luminescent organotransition metal complexes are of much current interest. As the large spin-orbit coupling of 2nd and 3rd row transition metals usually leads to rapid intersystem crossing from S1 to T1, which enables phosphorescence, there is a special interest in using triplet-emitting materials in organic or organometallic light emitting diodes (OLEDs). Marder et al. have found that, reductive coupling of both para-R-substituted diarylbutadiynes and diaryldodecatetraynes on Rh(PMe3)4X leads to quantitative yields of bis(arylethynyl)-rhodacyclopentadienes with complete regiospecificity (R = BMes2, H, Me, OMe, SMe, CF3, CN, CO2Me, NMe2, NO2, C≡C-TMS and X = -C≡C-TMS, -C≡C-C6H4-4-NMe2, -C≡C-C≡C-C6H4-4-NPh2, Me, Cl).47,49 Unexpectedly, these compounds show intense fluorescence rather than phosphorescence (ɸf = 0.33-0.69, t = 1.2 3.0 ns). The substituent R has a significant influence on the photophysical properties, as absorption and emission are both bathochromically shifted compared to R = H, especially for R = π-acceptor.
To clarify the mechanism of the formation of the rhodacyclopentadienes, and to investigate further their unique photophysical properties, a series of novel, luminescent rhodacyclopentadienes with dithiocarbamate as a bidentate ligand at the rhodium centre has been synthesised and characterised (R = NO2, CO2Me, Me, NMe2, SMe, Ar = C6F4-4-OMe). The rhodacyclopentadienes have been formed via reductive coupling of diaryl undecatetraynes with [Rh(k2-S,S`-S2CNEt2)(PMe3)2]. The structures of a series of such compounds were solved by single crystal X-ray diffraction and are discussed in this work. The compounds were fully characterised via NMR, UV/Vis and photoluminescence spectroscopy as well as by elemental analysis, high-resolution mass spectrometry (HRMS) and X-ray diffraction.
When heating the reactions, another isomer is formed to a certain extent. The so-called dibenzorhodacyclopentadienes already appeared during earlier studies of Marder et al., when acetylacetonate (acac) was employed as the bidentate ligand at the Rh-centre. They are probably formed via a [4+2] cycloaddition reaction and C-H activation, followed by a β-H shift.
Use of the perfluorinated phenyl moiety Ar = C6F4-4-OMe provided a total new insight into the mechanism of formation of the rhodacyclopentadiene isomers and other reactions. Besides the formation of the expected rhodacyclopentadiene, a bimetallic compound was generated, isolated and characterised via X-ray crystallography and NMR spectroscopy, elemental analysis and high resolution mass spectrometry.
For further comparison, analogous reactions with [Rh(k2 S,S` S2CNEt2)(PPh3)2] and a variety of diaryl undecatetraynes (R = NO2 CO2Me, Me, NMe2, SMe, Ar = C6F4-4-OMe) were carried out. They also yield the expected rhodacyclopentadienes, but quickly react with a second or even third equivalent of the tetraynes to form, catalytically, alkyne cyclotrimerisation products, namely substituted benzene derivatives (dimers and trimers), which are highly luminescent. The rhodacyclopentadienes (R = NO2, CO2Me, Me, SMe, Ar = C6F4-4-OMe) are stable and were isolated. The structures of a series of these compounds were obtained via single crystal X-ray crystallography and the compounds were fully characterised via NMR, UV/Vis and photoluminescence spectroscopy as well as by elemental analysis and HRMS.
Another attempt to clarify the mechanism of formation of the rhodacyclopentadienes involved reacting a variety of diaryl 1,3-butadiynes (R = CO2Me, Me, NMe2, naphthyl) with [Rh(k2 S,S` S2CNEt2)(PMe3)2]. The reactions stop at an intermediate step, yielding a 1:1 trans π-complex, confirmed by single crystal X-ray diffraction and NMR spectroscopy. Only after several weeks, or under forcing conditions (µw / 80 °C, 75 h), the formation of another major product occurs, having bound a second diaryl 1,3-butadiyne. Based on earlier results of Murata, the product is identified as an unusual [3+2] cycloaddition product, ϭ-bound to the rhodium centre.
The molecular architecture of the meiotic chromosome axis as revealed by super-resolution microscopy
(2018)
During meiosis proteins of the chromosome axis are important for monitoring chromatin structure and condensation, for pairing and segregation of chromosomes, as well as for accurate recombination. They include HORMA-domain proteins, proteins of the DNA repair system, synaptonemal complex (SC) proteins, condensins and cohesins. To understand more about their function in shaping the meiotic chromosome it is crucial to establish a defined model of their molecular architecture. Up to now their molecular organization was analysed using conventional methods, like confocal scanning microscopy (CLSM) and transmission electron microscopy (TEM). Unfortunately, these techniques are limited either by their resolution power or their localization accuracy. In conclusion, a lot of data on the molecular organization of chromosome axis proteins stays elusive. For this thesis the molecular structure of the murine synaptonemal complex (SC) and the localization of its proteins as well as of three cohesins was analysed with isotropic resolution, providing new insights into their architecture and topography on a nanoscale level. This was done using immunofluorescence labelling in combination with super-resolution microscopy, line profiles and average position determination. The results show that the murine SC has a width of 221.6 nm ± 6.1 nm including a central region (CR) of 148.2 nm ± 2.6 nm. In the CR a multi-layered organization of the central element (CE) proteins was verified by measuring their strand diameters and strand distances and additionally by imaging potential anchoring sites of SYCP1 (synaptonemal complex protein 1) to the lateral elements (LEs). We were able to show that the two LEs proteins SYCP2 and SYCP3 do co-localize alongside their axis and that there is no significant preferential localization towards the inner LE axis of SYCP2.
The presented results also predict an orderly organization of murine cohesin complexes (CCs) alongside the chromosome axis in germ cells and support the hypothesis that cohesins in the CR of the SC function independent of CCs.
In the end new information on the molecular organization of two main components of the murine chromosome axis were retrieved with nanometer precision and previously unknown details of their molecular architecture and topography were unravelled.
In recent decades the international migration has increased worldwide. The influx of people from different cultures and ethnic groups poses new challenges to the labor market and the welfare state of the host countries and causes changes in the social fabric. In general, immigration benefits the economy of the host country. However, these gains from immigration are unevenly distributed among the native population. Natives who are in direct competition with the new workers expect wage losses and a higher probability of getting unemployed, whereas remaining natives foresee either no feedback effects or even wage gains. On the other hand, the tax and transfer system benefits disproportionally from an influx of highly skilled immigrants. Examinations of 20 European countries in 2010 show that a higher proportion of low-skilled immigrants in the immediate neighborhood of the natives increases the difference in the demand for redistribution between high-skilled and low-skilled natives. Thus, high-skilled natives are more opposed to an expansion of the governmental redistribution. On the one hand, a higher proportion of low-skilled immigrants generates a higher fiscal burden on the welfare state. On the other hand, high-skilled natives' wages increase due to an influx of low-skilled immigrants, since relative supply of high-skilled labor increases.
In addition to the economic impact of immigration, the inflow of new citizens is accompanied by natives' fear of changes in the social environment as well as in symbolic values, such as cultural identity or natives' set of values. The latter might generate negative attitudes towards immigrants and increase the demand for a more restrictive immigration policy. On the other hand, more interethnic contact due to a higher ethnic diversity could reduce natives' information gaps, prejudices and stereotypes. This, in turn, could enhance more tolerance and solidarity towards immigrants among natives. Examinations of 18 European countries in 2014 show that more interethnic contact during everyday life reduces both the natives' social distance from immigrants and their fear of social upheaval by the presence of immigrants. However, natives' social distance from immigrants has no effect on their preference for redistribution, but their perceived threat to the national culture and social life by the presence of immigrants has a significantly negative impact on their demand for redistribution. Thus, natives’ concern about the preservation of symbolic norms and values affects the solidarity channel of their redistribution preference.
An individual's upward mobility over time or in relation to his or her parents determines his or her attitude towards the welfare state as well as the transfer of his or her opinions to his or her own children. With regard to intergenerational income mobility, Germany shows a value in the international midfield; higher than the United States (lower mobility) and lower than the Scandinavian countries (higher mobility). For example, if a father's lifetime income increases by 10 percent, his son's lifetime income increases by 4.9 percent in the United States and by 3.1 percent in Germany. Additionally, in Germany, fathers' lifetime income tends to show a higher impact on their sons' income if their incomes are higher. In the United States, fathers' lifetime incomes have a stronger influence on their sons' income at the lower and the upper end of the income distribution compared to the middle.
Taking a closer look at the intragenerational wage mobility and wage inequality in Germany, the development at the current edge is rather sobering. Since 2000 there is a steady decline in wage mobility. Furthermore, wage mobility in the services sector has been significantly lower than in the manufacturing sector since the beginning of the 2000s. This result is mainly driven by the decrease of wage mobility in the health care and social services sector. Moreover, a worker's unemployment spells and occupation have become more important in the meantime. Since 2006 the increase in the German wage inequality has markedly slowed down and wage growth between 2006 and 2013 has been even polarized, i.e. wages at the lower and at the upper end of the wage distribution have increased more than wages in the middle. However, this development can be partly attributed to the computerization and automation of the production processes. Although, there was substitution of manual routine tasks between 2001 and 2013, cognitive routine tasks are still more pronounced in the middle and at the upper end of the wage distribution. Furthermore, the latter experienced an increase in wage mobility since 2000. On the other hand, manual non-routine tasks are localized disproportionally in the middle and at the lower end of the wage distribution. Thus, the wage gains of these occupations at the lower end were compensated for by the wage losses in the middle.
Solitary bees in seasonal environments have to align their life-cycles with favorable environmental conditions and resources. Therefore, a proper timing of their seasonal activity is highly fitness relevant. Most species in temperate environments use temperature as a trigger for the timing of their seasonal activity. Hence, global warming can disrupt mutualistic interactions between solitary bees and plants if increasing temperatures differently change the timing of interaction partners. The objective of this dissertation was to investigate the mechanisms of timing in spring-emerging solitary bees as well as the resulting fitness consequences if temporal mismatches with their host plants should occur. In my experiments, I focused on spring-emerging solitary bees of the genus Osmia and thereby mainly on O. cornuta and O. bicornis (in one study which is presented in Chapter IV, I additionally investigated a third species: O. brevicornis).
Chapter II presents a study in which I investigated different triggers solitary bees are using to time their emergence in spring. In a climate chamber experiment I investigated the relationship between overwintering temperature, body size, body weight and emergence date. In addition, I developed a simple mechanistic model that allowed me to unite my different observations in a consistent framework. In combination with the empirical data, the model strongly suggests that solitary bees follow a strategic approach and emerge at a date that is most profitable for their individual fitness expectations. I have shown that this date is on the one hand temperature dependent as warmer overwintering temperatures increase the weight loss of bees during hibernation, which then advances their optimal emergence date to an earlier time point (due to an earlier benefit from the emergence event). On the other hand I have also shown that the optimal emergence date depends on the individual body size (or body weight) as bees adjust their emergence date accordingly. My data show that it is not enough to solely investigate temperature effects on the timing of bee emergence, but that we should also consider individual body conditions of solitary bees to understand the timing of bee emergence.
In Chapter III, I present a study in which I investigated how exactly temperature determines the emergence date of solitary bees. Therefore, I tested several variants degree-day models to relate temperature time series to emergence data. The basic functioning of such degree-day models is that bees are said to finally emerge when a critical amount of degree-days is accumulated. I showed that bees accumulate degree-days only above a critical temperature value (~4°C in O. cornuta and ~7°C in O. bicornis) and only after the exceedance of a critical calendar date (~10th of March in O. cornuta and ~28th of March in O. bicornis). Such a critical calendar date, before which degree-days are not accumulated irrespective of the actual temperature, is in general less commonly used and, so far, it has only been included twice in a phenology model predicting bee emergence. Furthermore, I used this model to retrospectively predict the emergence dates of bees by applying the model to long-term temperature data which have been recorded by the regional climate station in Würzburg. By doing so, the model estimated that over the last 63 years, bees emerged approximately 4 days earlier.
In Chapter IV, I present a study in which I investigated how temporal mismatches in bee-plant interactions affect the fitness of solitary bees. Therefore, I performed an experiment with large flight cages serving as mesocosms. Inside these mesocosms, I manipulated the supply of blossoms to synchronize or desynchronize bee-plant interactions. In sum, I showed that even short temporal mismatches of three and six days in bee-plant interactions (with solitary bee emergence before flower occurrence) can cause severe fitness losses in solitary bees. Nonetheless, I detected different strategies by solitary bees to counteract impacts on their fitness after temporal mismatches. However, since these strategies may result in secondary fitness costs by a changed sex ratio or increased parasitism, I concluded that compensation strategies do not fully mitigate fitness losses of bees after short temporal mismatches with their food plants. In the event of further climate warming, fitness losses after temporal mismatches may not only exacerbate bee declines but may also reduce pollination services for later-flowering species and affect populations of animal-pollinated plants.
In conclusion, I showed that spring-emerging solitary bees are susceptible to climate change as in response to warmer temperatures bees advance their phenology and show a decreased fitness state. As spring-emerging solitary bees not only consider overwintering temperature but also their individual body condition for adjusting emergence dates, this may explain differing responses to climate warming within and among bee populations which may also have consequences for bee-plant interactions and the persistence of bee populations under further climate warming. If in response to climate warming plants do not shift their phenologies according to the bees, bees may experience temporal mismatches with their host plants. As bees failed to show a single compensation strategy that was entirely successful in mitigating fitness consequences after temporal mismatches with their food plants, the resulting fitness consequences for spring-emerging solitary bees would be severe. Furthermore, I showed that spring-emerging solitary bees use a critical calendar date before which they generally do not commence the summation of degree-days irrespective of the actual temperature. I therefore suggest that further studies should also include the parameter of a critical calendar date into degree-day model predictions to increase the accuracy of model predictions for emergence dates in solitary bees. Although our retrospective prediction about the advance in bee emergence corresponds to the results of several studies on phenological trends of different plant species, we suggest that more research has to be done to assess the impacts of climate warming on the synchronization in bee-plant interactions more accurately.
The rotation of the earth around its axis causes recurring and predictable changes in the environment. To anticipate those changes and adapt their physiology and behavior accordingly, most organisms possess an endogenous clock. The presence of such a clock has been demonstrated for several ant species including Camponotus ants, but its involvement in the scheduling of daily activities within and outside the ant nest is fairly unknown. Timing of individual behaviors and synchronization among individuals is needed to generate a coordinated collective response and to maintain colony function. The aim of this thesis was to investigate the presence of a circadian clock in different worker castes, and to determine the daily timing of their behavioral tasks within the colonies of two nectar-collecting Camponotus species.
In chapter I, I describe the general temporal organization of work throughout the worker life in the species Camponotus rufipes. Continuous tracking of behavioral activity of individually- marked workers for up to 11 weeks in subcolonies revealed an age-dependent division of labor between interior and exterior workers. After eclosion, the fairly immobile young ants were frequently nurtured by older nurses, yet they started nursing the brood themselves within the first 48 hours of their life. Only 60% of workers switched to foraging at an age range of one to two weeks, likely because of the reduced needs within the small scale of the subcolonies. Not only the transition rates varied between subcolonies, but also the time courses of the task sequences between workers did, emphasizing the timed allocation of workers to different tasks in response to colony needs.
Most of the observed foragers were present outside the nest only during the night, indicating a distinct timing of this behavioral activity on a daily level as well. As food availability, humidity and temperature levels were kept constant throughout the day, the preference for nocturnal activity seems to be endogenous and characteristic for C. rufipes. The subsequent monitoring of locomotor activity of workers taken from the subcolonies revealed the presence of a functional endogenous clock already in one-day old ants. As some nurses displayed activity rhythms in phase with the foraging rhythm, a synchronization of these in-nest workers by social interactions with exterior workers can be hypothesized.
Do both castes use their endogenous clock to schedule their daily activities within the colony? In chapter II, I analyzed behavioral activity of C. rufipes foragers and nurses within the social context continuously for 24 hours. As time-restricted access to food sources may be one factor affecting daily activities of ants under natural conditions, I confronted subcolonies with either daily pulses of food availability or ad libitum feeding. Under nighttime and ad libitum feeding, behavioral activity of foragers outside the nest was predominantly nocturnal, confirming the results from the simple counting of exterior workers done in chapter I. Foragers switched to diurnality during daytime feeding, demonstrating the flexible and adaptive timing of a daily behavior. Because they synchronized their activity with the short times of food availability, these workers showed high levels of inactivity. Nurses, in contrast, were active all around the clock independent of the feeding regime, spending their active time largely with feeding and licking the brood. After the feeding pulses, however, a short bout of activity was observed in nurses. During this time period, both castes increasingly interacted via trophallaxis within the nest. With this form of social zeitgeber, exterior workers were able to entrain in-nest workers, a phenomenon observed already in chapter I. Under the subsequent monitoring of locomotor activity under LD conditions the rhythmic workers of both castes were uniformly nocturnal independent of the feeding regime. This endogenous activity pattern displayed by both worker castes in isolation was modified in the social context in adaption to task demands.
Chapter III focuses on the potential factors causing the observed plasticity of daily rhythms in the social context in the ant C. rufipes. As presence of brood and conspecifics are likely indicators of the social context, I tested the effect of these factors on the endogenous rhythms of otherwise isolated individuals. Even in foragers, the contact to brood triggered an arrhythmic activity pattern resembling the arrhythmic behavioral activity pattern seen in nurses within the social context. As indicated in chapter I and II, social interaction could be one crucial factor for the synchronization of in nest activities. When separate groups were entrained to phase-shifted light-dark-cycles and monitored afterwards under constant conditions in pairwise contact through a mesh partitioning, both individuals shifted parts of their activity towards the activity period of the conspecific. Both social cues modulated the endogenous rhythms of workers and contribute to the context dependent plasticity in ant colonies.
Although most nursing activities are executed arrhythmically throughout the day (chapter II), previous studies reported rhythmic translocation events of the brood in Camponotus nurses. As this behavior favors brood development, the timing of the translocations within the dark nest seems to be crucial. In chapter IV, I tracked translocation activity of all nurses within subcolonies of C. mus. Under the confirmed synchronized conditions of a LD-cycle, the daily pattern of brood relocation was based on the rhythmic, alternating activity of subpopulations with preferred translocation direction either to the warm or to the cold part of the temperature gradient at certain times of the day. Although the social interaction after pulse feeding had noticeable effects on the in-nest activity in C. rufipes (chapter I and II), it was not sufficient to synchronize the brood translocation rhythm of C. mus under constant darkness (e.g. when other zeitgebers were absent). The free-running translocation activity in some nurses demonstrated nevertheless the involvement of an endogenous clock in this behavior, which could be entrained under natural conditions by other potential non-photic zeitgebers like temperature and humidity cycles.
Daily cycling of temperature and humidity could not only be relevant for in-nest activities, but also for the foraging activity outside the nest. Chapter V focuses on the monitoring of field foraging rhythms in the sympatric species C. mus and C. rufipes in relation to abiotic factors. Although both species had comparable critical thermal limits in the laboratory, foragers in C. mus were strictly diurnal and therefore foraged under higher temperatures than the predominant nocturnal foragers in C. rufipes. Marking experiments in C. rufipes colonies with higher levels of diurnal activity revealed the presence of temporally specialized forager subpopulations. These results suggest the presence of temporal niches not only between the two Camponotus species, but as well between workers within colonies of the same species.
In conclusion, the temporal organization in colonies of Camponotus ants involves not only the scheduling of tasks performed throughout the worker life, but also the precise timing of daily activities. The necessary endogenous clock is already functioning in all workers after eclosion. Whereas the light-dark cycle and food availability seem to be the prominent zeitgebers for foragers, nurses may rely more on non-photic zeitgeber like social interaction, temperature and humidity cycles.
BD is a severe and highly prevalent psychiatric illness characterized by oscillating mood episodes, where patients express either depressed mood, anhedonia, decreased activation along with concentration difficulties and sleep disturbances, or elevated mood with hyperactivity and loss of inhibitions. Between mood episodes, patients return to a relatively normal state of functioning without mood symptoms. Previous research on underlying neuronal mechanisms has led to a model of neuronal dysfunction in BD which states that BD arises from disruption in early development within brain networks that modulate emotional behavior. These abnormalities in the structure and function of key emotional control networks then lead to decreased connectivity among ventral prefrontal networks and limbic brain regions. This in turn creates a loss of emotional homeostasis, putting bipolar patients at risk for developing extreme mood states and switching among mood states. Two core components for BD have been identified, a hyperactive emotion processing system and a hypoactive cognitive functions system. It is controversial whether these deficits are still detectable in euthymia, so it is unclear if hyper- and hypoactivations represent state or trait-like characteristics. The aim of this study was to research both core components of BD with a paradigm eliciting differential activations in both cognitive and emotion processing networks. For this, an emotional word working memory paradigm was constructed to test for differences between manic, depressive, and remitted patients as well as a healthy control group. Differences were assessed in behavior, brain activation (as a correlate for the hypoactive cognitive functions system), measured with near-infrared spectroscopy (fNIRS), and electrophysiological changes in the late positive potential (as a correlate for the hyperactive emotion processing system), an event-related potential (ERP) measured with electroencephalography. 47 patients in the acutely ill phase and 45 healthy controls were measured. Of the 47 patients, 18 returned to the clinic for a second testing while in remission for at least 3 months. Acutely ill patients were classified into 4 groups according to their disorder status: a mildly depressed group, a depressed group, a manic group, and a mixed group along DSM-IV criteria. Analyses were calculated for 3 load conditions (1-back, 2-back and 3-back) and 3 valence conditions (negative, neutral, positive) for behavioral measures reaction time and omission errors, for brain activation and event related potential changes.
Results indicate that ill patients differed from controls in their behavioral performance, but the difference in performance was modulated by the mood state they were in. Depressed patients showed the most severe differences in all behavioral measures, while manic and mixed patients differed from controls only upon different valence conditions. Brain activation changes were most pronounced in mildly depressed and manic patients, depressed patients and mixed patients did not differ as much from controls. ERP changes showed a significant difference only between mixed patients and controls, where mixed patients had an overall much higher ERP amplitude. When remitted patients were compared to controls, no differences in behavior, brain activation or ERP amplitude could be found. However, the same was true for differences in patients between acutely ill and remitted state. When looking at the overall data, the following conclusion can be drawn: assuming that the brain activation seen in the prefrontal cortex is part of the dorsal cognitive system, then this is the predominantly disturbed system in depressed patients who show only small changes in the ERP. In contrast, the predominantly disturbed system in manic and mixed patients is the ventral emotion processing system, which can be seen in a hyper-activation of ERP related neural correlates in mixed and hypo-activated neural correlates of the LPP in manic patients. When patients are remitted, the cognitive system regains temporary stability, and can be compared to that of healthy controls, while the emotion processing system remains dysfunctional and underlies still detectable performance deficits.
Trypanosoma brucei is an obligate parasite and causative agent of severe diseases affecting humans and livestock. The protist lives extracellularly in the bloodstream of the mammalian host, where it is prone to attacks by the host immune system. As a sophisticated means of defence against the immune response, the parasite’s surface is coated in a dense layer of the variant surface glycoprotein (VSG), that reduces identification of invariant epitopes on the cell surface by the immune system to levels that prevent host immunity. The VSG has to form a coat that is both dense and mobile, to shield invariant surface proteins from detection and to allow quick recycling of the protective coat during immune evasion. This coat effectively protects the parasite from the harsh environment that is the mammalian bloodstream and leads to a persistent parasitemia if the infection remains untreated. The available treatment against African Trypanosomiasis involves the use of drugs that are themselves severely toxic and that can lead to the death of the patient. Most of the drugs used as treatment were developed in the early-to-mid 20th century, and while developments continue, they still represent the best medical means to fight the parasite. The discovery of a fluorescent VSG gave rise to speculations about a potential interaction between the VSG coat and components of the surrounding medium, that could also lead to a new approach in the treatment of African Trypanosomiasis that involves the VSG coat. The initially observed fluorescence signal was specific for a combination of a VSG called VSG’Y’ and the triphenylmethane (TPM) dye phenol red. Exchanging this TPM to a bromo-derivative led to the observation of another fluorescence effect termed trypanicidal effect which killed the parasite independent of the expressed VSG and suggests a structurally conserved feature between VSGs that could function as a specific drug target against T. b. brucei. The work of this thesis aims to identify the mechanisms that govern the unique VSG’Y’ fluorescence and the trypanocidal effect. Fluorescence experiments and protein mutagenesis of VSG’Y’ as well as crystallographic trials with a range of different VSGs were utilized in the endeavour to identify the binding mechanisms between TPM compounds and VSGs, to find potentially conserved structural features between VSGs and to identify the working mechanisms of VSG fluorescence and the trypanocidal effect. These trials have the potential to lead to the formulation of highly specific drugs that
target the parasites VSG coat.
During the crystallographic trials of this thesis, the complete structure of a VSG was solved experimentally for the first time. This complete structure is a key component in furthering the understanding of the mechanisms governing VSG coat formation. X-ray scattering techniques, involving x-ray crystallography and small angle x-ray scattering were applied to elucidate the first complete VSG structures, which reveal high flexibility of the protein and supplies insight into the importance of this flexibility in the formation of a densely packed but highly mobile surface coat.
Several transition metal ions, like Fe2+, Co2+, Ni2+, and Zn2+ complex to the ditopic ligand 1,4-bis(2,2’:6’,2’’-terpyridin-4’-yl)benzene. Due to the high association constant, metal ion induced self-assembly of Fe2+, Co2+, and Ni2+ leads to extended, rigid-rod like metallo-supramolecular coordination polyelectrolytes (MEPEs) even in aqueous solution. Here, the kinetics of coordination and the kinetics of growth of MEPEs are presented. The species in solutions are analyzed by stopped-flow fluorescence spectroscopy, light scattering, viscometry and cryogenic transmission electron microscopy. At near-stoichiometric amounts of the reactants, high molar masses are obtained, which follow the order Ni-MEPE ~ Co-MEPE < Fe-MEPE. Furthermore, a way is presented to adjust the average molar mass, chain-length and viscosity of MEPEs using the monotopic chain stopper 4’-(phenyl)-2,2’:6’,2’’-terpyridine.
Staphylococcus aureus is a versatile human pathogen that normally develops acute or chronic infections. The broad range of diseases caused by this bacterium facilitates the escape from the host's immune response as well as from target-specific antimicrobial therapies. Nevertheless, the underlying cellular and molecular mechanisms that enable S. aureus to cause these disparate types of infections are largely unknown. In this work, we depicted a novel genetic program involved in the development of cell-fate decision, which promotes the differentiation of the staphylococcal cells into two genetically identical but differently heritable cell lines capable of defining the course of an infection, by simultaneously progressing to (i) a biofilm-associated chronic infection or (ii) a disperse acute bacteremia. Here, S. aureus growing in architecturally complex multicellular communities harbored different cell types that followed an exclusive developmental plan, resulting in a clonal heterogeneous population. We found that these cell types are physiologically specialized and that, this specialization impacts the collective behavior within the multicellular aggregates. Whereas one cell line that we named BRcells, promotes biofilm formation that engenders chronic infections, the second cell line, which we termed DRcells is planktonic and synthetizes virulence factors, such as toxins that can drive acute bacteremia. We identified that the positive feedback loop present in Agr quorum sensing system of S. aureus acts a bimodal switch able to antagonistically control the divergence of these two physiologically distinct, heritable cell lines. Also, we found that this bimodal switch was triggered in response to environmental signals particularly extracellular Mg2+, affecting the size of the subpopulations in specific colonization environments. Specifically, Mg2+-enriched environments enhanced the binding of this cation to the staphylococcal teichoic acids, increasing the rigidity of the cell wall and triggering a genetic program involving the alternative sigma factor σB that downregulated the Agr bimodal switch, favoring the enrichment of the BRcells type. Therefore, colonization environments with different Mg2+ content favored different outcomes in the bimodal system, defining distinct ratio in the BRcells/DRcells subpopulations and the S. aureus outcome in our in vitro model of development of multicellular aggregates and, the infection outcome in an in vivo mice infection model. In this prime human pathogen cell-fate decision-making generates a conserved pattern of heritable, physiological heterogeneity that actively contributes to determine the course of an infection through the emergence and spatio-temporal dynamics of distinct and specialized cell types. In conclusion, this work demonstrates that cell differentiation in pathogenic bacteria is a fundamental phenomenon and its understanding, is central to understand nosocomial infections and to designing new anti-infective strategies
Introduction: Therapeutic options in advanced medullary thyroid carcinoma (MTC) have markedly improved since the introduction of tyrosine kinase inhibitors (TKI). We
aimed to assess the role of metabolic imaging using 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) positron emission tomography/computed tomography (PET/CT) shortly before and 3 months after initiation of TKI treatment.
Methods: Eighteen patients with advanced and progressive MTC scheduled for vandetanib treatment underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after TKI treatment initiation. During follow-up, CT scans were performed every 3 months and analyzed according to Response Evaluation Criteria In Solid Tumors (RECIST). The predictive value for estimating progression-free (PFS) and overall survival (OS) was examined by investigating \(^{18}\)F-FDG mean/maximum standardized uptake values (SUVmean/max) of the metabolically most active lesion as well as by analyzing clinical parameters (tumor marker doubling times {calcitonin, carcinoembryonic antigen (CEA)}, prior therapies, RET (rearranged during transfection) mutational status, and disease type).
Results: Within a median follow-up of 5.2 years, 9 patients experienced disease progression after a median time interval of 2.1y whereas the remainder had ongoing disease control (n=5 partial response and n=4 stable disease). Eight of the 9 patients with progressive disease died from MTC after a median of 3.5y after TKI initiation.
Pre-therapeutic SUVmean >4.0 predicted a significantly shorter PFS (PFS: 1.9y vs. 5.2y; p=0.04). Furthermore, sustained high 18F-FDG uptake at 3 months with a SUVmean>2.8 tended to portend an unfavorable prognosis with a PFS of 1.9y (vs. 3.5y; p=0.3). Prolonged CEA doubling times were significantly correlated with longer PFS (r=0.7) and OS (r=0.76, p<0.01, respectively). None of the other clinical parameters had prognostic significance.
Conclusions: Pre-therapeutic \(^{18}\)F-FDG PET/CT holds prognostic information in patients with advanced MTC scheduled for treatment with the TKI vandetanib. Low tumor metabolism of SUVmean < 4.0 prior to treatment predicts longer progression-free survival.
Background: Precise regional quantitative assessment of renal function is limited with conventional \(^{99m}\)Tc-labeled renal radiotracers. A recent study reported that the positron emission tomography (PET) radiotracer 2-deoxy-2-(\(^{18}\)F-fluorosorbitol (\(^{18}\)F-FDS) has ideal pharmacokinetics for functional renal imaging. Furthermore, (\(^{18}\)F-FDS is available via simple reduction from routinely used 2-deoxy-2-(\(^{18}\)F-fluoro-D-glucose ((\(^{18}\)F-FDG). We aimed to further investigate the potential of (\(^{18}\)F-FDS PET as a functional renal imaging agent using rat models of kidney diseases.
Methods: Two different rat models of renal impairment were investigated: Glycerol induced acute renal failure (ARF) by intramuscular administration of glycerol in hind legs and unilateral ureteral obstruction (UUO) by ligation of the left ureter. 24h after these treatments, dynamic 30 min 18F-FDS PET data were acquired using a dedicated small animal PET system. Urine 18F-FDS radioactivity 30 min after radiotracer injection was measured together with co-injected \(^{99m}\)Tc-diethylenetriaminepentaacetic acid (\(^{99m}\)Tc-DTPA) urine activity. Results: Dynamic PET imaging demonstrated rapid (\(^{18}\)F-FDS accumulation in the renal cortex and rapid radiotracer excretion via kidneys in control healthy rats. On the other hand, significantly delayed renal radiotracer uptake (continuous slow uptake) was observed in ARF rats and UUO-treated kidneys. Measured urine radiotracer concentrations of (\(^{18}\)F-FDS and \(^{99m}\)Tc-DTPA were well correlated (R=0.84, P<0.05).
Conclusions: (\(^{18}\)F-FDS PET demonstrated favorable kinetics for functional renal imaging in rat models of kidney diseases. Advantages of high spatiotemporal resolution of PET imaging and simple tracer production could potentially complement or replace conventional renal scintigraphy in select cases and significantly improve the diagnostic performance of renal functional imaging.