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The brain is the central organ of an animal controlling its behavior. It integrates internal information from the body and external stimuli from the surrounding environment to mediate an appropriate behavioral response. Since the environment is constantly changing, a flexible adjustment of the brain to new conditions is crucial for the animals’ fitness. The ability of the nervous system to adapt to new challenges is defined as plasticity. Over the last few decades great advances have been made in understanding the cellular and molecular mechanisms underlying neuronal plasticity. Plasticity may refer to structural changes physically remodeling the neuronal circuit, or to functional adaptations which are manifested in modified synaptic transmission, and in altered response and firing properties of single neurons. These structural and functional modifications are mediated by a complex interplay of environmental stimuli, intracellular signal transduction cascades, protein modifications, gene translation and transcription, and epigenetic gene regulatory mechanisms. However, especially the molecular mechanisms of environmentally-induced structural neuronal plasticity are still poorly understood.
In this thesis the honey bee was used as an innovative model organism to investigate this issue. The honey bee with its rich behavioral repertoire, highly sophisticated and plastic neuronal system, sequenced genome and full epigenetic machinery is well suited for studying the molecular underpinnings of environmentally-induced neuronal plasticity. Adult honey bees progress through a series of tasks within the dark hive until after about three weeks they start with foraging activities in the external world. The transition from in-hive to outside tasks is associated with remarkable structural neuronal plasticity. Subdivisions of the mushroom body, a brain region related to higher cognitive functions, are increased in volume. The volume expansion is mediated by a remarkable outgrowth of the dendritic network of mushroom body intrinsic neurons, so called Kenyon cells. In parallel, prominent synaptic structures, referred to as microglomeruli, are pruned. Most interestingly for this thesis, the pruning of microglomeruli and the dendritic expansion in Kenyon cells can be induced by a simple light exposure paradigm.
In the first chapter of the present thesis I used this paradigm to induce synaptic plasticity in the mushroom bodies under controlled lab conditions to search for correlating molecular changes which possibly mediate the observed plasticity. I compared the brain transcriptome of light-exposed and dark-kept control bees by whole transcriptome sequencing. This revealed a list of differentially expressed genes (DEGs). The list contains conserved genes which have reported functions in neuronal plasticity, thereby introducing them as candidate genes for plasticity in the honey bee brain. Furthermore, with this transcriptomic approach I discovered many candidate genes with unknown functions or functions so far unrelated to neuronal plasticity suggesting that these novel genes may have yet unrecognized roles in neuronal plasticity. A number of DEGs are known to be methylated or to exert epigenetic modifications on themselves speaking for a strong impact of epigenetic mechanisms in light-induced structural plasticity in the honey bee brain. This notion is supported by a differential methylation pattern of one examined DEG between light-exposed and dark-kept bees as shown in this thesis. Also a plasticity-related microRNA, which is predicted to target genes associated with cytoskeleton formation, was found to be upregulated in light-exposed bees. This speaks for a translation regulatory mechanism in structural plasticity in the honey bee.
Another interesting outcome of this study is the age-dependent expression of DEGs. For some plasticity-related DEGs, the amplitude of light-induced expression differs between one- and seven-day-old bees, and also the basal expression level of many DEGs in naive dark-kept control bees significantly varies between the two age groups. This suggests that the responsiveness of plasticity-related genes to environmental stimuli is also under developmental (age-dependent) control, which may be important for normal maturation and for the regulation of age-related changes in behavior. Indeed, I was able to demonstrate in phototaxis experiments that one- and seven-day-old bees show different behaviors in response to light exposure and thus the correlating age-dependent transcriptional differences may serve as mechanisms promoting age-related changes in behavior.
Together the results of the transcriptomic study demonstrate the successfulness of my approach to identify candidate molecular mechanisms for environmentally-induced structural plasticity in the honey bee brain. Furthermore, the thesis provides seminal evidence for the implication of DNA methylation in this process.
To better understand the role of DNA methylation for neuronal and behavioral plasticity in the honey bee, the second chapter of the thesis aims at characterizing this molecular process under more natural conditions. Therefore, I examined the expression of the DNA methyltransferase 3 (DNMT3) and of Ten-eleven translocation methylcytosine dioxygenase (TET) between in-hive bees and foragers. DNMT3 is responsible for DNA de novo methylation, whereas TET promotes DNA demethylation by converting methylcytosine (5mC) to hydroxymethylcytosine (5hmC). The data suggest that age and experience determine the expression of these two epigenetic key genes. Additionally, in this context, two examined DEGs are shown to be differentially methylated between nurses and foragers. One of these two DEGs, the plasticity related gene bubblegum (bgm), also exhibits an altered DNA methylation pattern in response to light exposure. Hence, these results of my thesis provide additional evidence for the importance of DNA methylation in behavioral and neuronal plasticity.
Results from the second chapter of this thesis also suggest additional functions of DNMT3 and TET to their traditional roles in DNA methylation/demethylation. I show that TET is far more expressed in the honey bee brain than DNMT3. This stands in contrast to the relative scarcity of 5hmC compared to 5mC and points at extra functions of this gene like RNA modifications as reported for Drosophila. Antibody staining against the DNMT3 gene product revealed an unexpected rare localization of the enzyme in the nucleus, but a surprisingly high abundance in the cytoplasm. The role of cytoplasmic DNMT3 is unknown. One possibility for the high abundance in the cytoplasm is a regulatory mechanism for DNA methylation by cytoplasmic-nuclear trafficking, or an additional function of DNMT3 in RNA modification, similar to TET.
Altogether, this thesis points at future research directions for neuronal plasticity by providing promising evidence for the involvement of epigenetic mechanisms and of a number of new candidate genes in environmentally induced structural plasticity in the honey bee brain. Furthermore, I present data suggesting so far unrecognized functions of DNMT3 which certainly need to be experimentally addressed in the future to fully understand the role of this enzyme.
The presented thesis summarizes the results from four and a half years of intense lithography development on (Cd,Hg)Te/HgTe/(Cd,Hg)Te quantum well structures. The effort was motivated by the unique properties of this topological insulator. Previous work from Molenkamp at al.\ has proven that the transport through such a 2D TI is carried by electrons with opposite spin, counter-propagating in 1D channels along the sample edge. However, up to this thesis, the length of quantized spin Hall channels has never been reported to exceed 4 µm. Therefore, the main focus was put on a reproducible and easy-to-handle fabrication process that reveals the intrinsic material parameters.
Every single lithography step in macro as well as microscopic sample fabrication has been re-evaluated. In the Development, the process changes have been presented along SEM pictures, microgaphs and, whenever possible, measurement responses.
We have proven the conventional ion milling etch method to damage the remaining mesa and result in drastically lower electron mobilities in samples of microscopic size.
The novel KI:I2:HBr wet etch method for macro and microstructure mesa fabrication has been shown to leave the crystalline structure intact and result in unprecedented mobilities, as high as in macroscopic characterization Hall bars. Difficulties, such as an irregular etch start and slower etching of the conductive QW have been overcome by concentration, design and etch flow adaptations. In consideration of the diffusive regime, a frame around the EBL write field electrically decouples the structure mesa from the outside wafer. As the smallest structure, the frame is etched first and guarantees a non-different etching of the conductive layer during the redox reaction. A tube-pump method assures reproducible etch results with mesa heights below 300 nm. The PMMA etch mask is easy to strip and leaves a clean mesa with no redeposition. From the very first attempts, to the final etch process, the reader has been provided with the characteristics and design requirements necessary to enable the fabrication of nearly any mesa shape within an EBL write field of 200 µm.
Magneto resistance measurement of feed-back samples have been presented along the development chronology of wet etch method and subsequent lithography steps. With increasing feature quality, more and more physics has been revealed enabling detailed evaluation of smallest disturbances. The following lithography improvements have been implemented. They represent a tool-box for high quality macro and microstructure fabrication on (CdHg)Te/HgTe of almost any kind.
The optical positive resist ECI 3027 can be used as wet and as dry etch mask for structure sizes larger than 1 µm. It serves to etch mesa structures larger than the EBL write field.
The double layer PMMA is used for ohmic contact fabrication within the EBL write field. Its thickness allows to first dry etch the (Cd,Hg)Te cap layer and then evaporate the AuGe contact, in situ and self-aligned. Because of an undercut, up to 300 nm can be metalized without any sidewalls after the lift-off. An edge channel mismatch within the contact leads can be avoided, if the ohmic contacts are designed to reach close to the sample and beneath the later gate electrode.
The MIBK cleaning step prior to the gate application removes PMMA residuals and thereby improves gate and potential homogeneity.
The novel low HfO2-ALD process enables insulator growth into optical and EBL lift-off masks of any resolvable shape. Directly metalized after the insulator growth, the self-aligned method results in thin and homogeneous gate electrode reproducibly withholding gate voltages to +-10 V.
The optical negative resist ARN 4340 exhibits an undercut when developed. Usable as dry etch mask and lift-off resist, it enables an in-situ application of ohmic contacts first etching close to the QW, then metalizing AuGe. Up to 500 nm thickness, the undercut guarantees an a clean lift-off with no sidewalls.
The undertaken efforts have led to micro Hall bar measurements with Hall plateaus and SdH-oszillations in up to now unseen levels of detail.
The gap resistance of several micro Hall bars with a clear QSH signal have been presented in Quantum Spin Hall. The first to exhibit longitudinal resistances close to the expected h/2e2 since years, they reveal unprecedented details in features and characteristics. It has been shown that their protection against backscattering through time reversal symmetry is not as rigid as previously claimed. Values below and above 12.9 kΩ been explained, introducing backscattering within the Landauer-Büttiker formalism of edge channel transport. Possible reasons have been discussed. Kondo, interaction and Rashba-backscattering arising from density inhomogeneities close to the edge are most plausible to explain features on and deviations from a quantized value. Interaction, tunneling and dephasing mechanisms as well as puddle size, density of states and Rashba Fields are gate voltage dependent. Therefore, features in the QSH signal are fingerprints of the characteristic potential landscape.
Stable up to 11 K, two distinct but clear power laws have been found in the higher temperature dependence of the QSH in two samples. However, with ΔR = Tα, α = ¼ in one (QC0285) and α = 2 in the other (Q2745), none of the predicted dependencies could be confirmed. Whereas, the gap resistances of QC0285 remains QSH channel dominated up to 3.9 T and thereby confirmed the calculated lifting of the band inversion in magnetic field. The gate-dependent oscillating features in the QSH signal of Q2745 immediately increase in magnetic field. The distinct field dependencies allowed the assumption of two different dominant backscattering mechanisms.
Resulting in undisturbed magneto transport and unprecedented QSH measurements The Novel Micro Hall Bar Process has proven to enable the fabrication of a new generation of microstructures.
Purpose: The metabolically most active lesion in 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) PET/CT can predict progression-free survival (PFS) in patients with medullary thyroid carcinoma (MTC) starting treatment with the tyrosine kinase inhibitor (TKI) vandetanib. However, this metric failed in overall survival (OS) prediction. In the present proof of concept study, we aimed to explore the prognostic value of intratumoral textural features (TF) as well as volumetric parameters (total lesion glycolysis, TLG) derived by pre-therapeutic \(^{18}\)F-FDG PET.
Methods: Eighteen patients with progressive MTC underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after vandetanib initiation. By manual segmentation of the tumor burden at baseline and follow-up PET, intratumoral TF and TLG were computed. The ability of TLG, imaging-based TF, and clinical parameters (including age, tumor marker doubling times, prior therapies and RET (rearranged during transfection) mutational status) for prediction of both PFS and OS were evaluated.
Results: The TF Complexity and the volumetric parameter TLG obtained at baseline prior to TKI initiation successfully differentiated between low- and high-risk patients. Complexity allocated 10/18 patients to the high-risk group with an OS of 3.3y (vs. low-risk group, OS=5.3y, 8/18, AUC=0.78, P=0.03). Baseline TLG designated 11/18 patients to the high-risk group (OS=3.5y vs. low-risk group, OS=5y, 7/18, AUC=0.83, P=0.005). The Hazard Ratio for cancer-related death was 6.1 for Complexity (TLG, 9.5). Among investigated clinical parameters, the age at initiation of TKI treatment reached significance for PFS prediction (P=0.02, OS, n.s.).
Conclusions: The TF Complexity and the volumetric parameter TLG are both independent parameters for OS prediction.
The desymmetrization of the cyclic (alkyl)(amino)carbene-supported diboracumulene, B\(_2\)(cAAC\(^{Me}\))\(_2\) (cAAC\(^{Me}\) = 1- (2,6-diisopropylphenyl)-3,3,5,5-tetramethylpyrrolidin-2-ylidene) by mono-adduct formation with IMe\(^{Me}\) (1,3-dimethylimidazol-2-ylidene) yields the zerovalent sp-sp\(^2\) diboron compound B\(_2\)(cAAC\(^{Me}\))\(_2\)(IMe\(^{Me}\)), which provides a versatile platform for the synthesis of novel symmetrical and unsymmetrical zerovalent sp\(^2\)-sp\(^2\) diboron compounds by adduct formation with IMe\(^{Me}\) and CO, respectively. Furthermore, B\(_2\)(cAAC\(^{Me}\))\(_2\)(IMe\(^{Me}\)) displays enhanced reactivity compared to its symmetrical precursor, undergoing spontaneous intramolecular C-H activation and facile twofold hydrogenation, the latter resulting in B-B bond cleavage and the formation of the mixed-base parent borylene, (cAAC\(^{Me}\))(IMe\(^{Me}\))BH.
sp\(^2\)–sp\(^3\) diborane species based on bis(catecholato)diboron and N-heterocyclic carbenes (NHCs) are subjected to catechol/bromide exchange selectively at the sp\(^3\) boron atom. The reduction of the resulting 1,1-dibromodiborane adducts led to reductive coupling and isolation of doubly NHC-stabilized 1,2-diboryldiborenes. These compounds are the first examples of molecules exhibiting pelectron delocalization over an all-boron chain.
Beatty sets (also called Beatty sequences) have appeared as early as 1772 in the astronomical studies of Johann III Bernoulli as a tool for easing manual calculations and - as Elwin Bruno Christoffel pointed out in 1888 - lend themselves to exposing intricate properties of the real irrationals. Since then, numerous researchers have explored a multitude of arithmetic properties of Beatty sets; the interrelation between Beatty sets and modular inversion, as well as Beatty sets and the set of rational primes, being the central topic of this book. The inquiry into the relation to rational primes is complemented by considering a natural generalisation to imaginary quadratic number fields.
Renin–angiotensin system (RAS) plays an important role in the regulation of blood pressure and hormonal balance. Using positron emission tomography (PET) technology, it is possible to monitor the physiological and pathological distribution of angiotensin II type 1 receptors (AT\(_1\)), which reflects the functionality of RAS. A new \(^{18}\)F-labeled PET tracer derived from the clinically used AT\(_1\) antagonist valsartan showing the least possible chemical alteration from the valsartan structure has been designed and synthesized with several strategies, which can be applied for the syntheses of further derivatives. Radioligand binding study showed that the cold reference FV45 (K\(_i\) 14.6 nM) has almost equivalent binding affinity as its lead valsartan (K\(_i\) 11.8 nM) and angiotensin II (K\(_i\) 1.7 nM). Successful radiolabeling of FV45 in a one-pot radiofluorination followed by the deprotection procedure with 21.8 ± 8.5% radiochemical yield and >99% radiochemical purity (n = 5) enabled a distribution study in rats and opened a path to straightforward large-scale production. A fast and clear kidney uptake could be observed, and this renal uptake could be selectively blocked by pretreatment with AT\(_1\)-selective antagonist valsartan. Overall, as the first \(^{18}\)F-labeled PET tracer based on a derivation from clinically used drug valsartan with almost identical chemical structure, [\(^{18}\)F]FV45 will be a new tool for assessing the RAS function by visualizing AT\(_i\) receptor distributions and providing further information regarding cardiovascular system malfunction as well as possible applications in inflammation research and cancer diagnosis.
The main subject of this dissertation is the analysis of the impact of the creation of the Eurozone on its member countries. This analysis comprises two studies that analyze this research agenda from different perspectives.
The first study compares the monetary policy of the ECB with the respective monetary policy of selected central banks of the European Monetary System (EMS). More precisely, conditional on aggregate demand and supply shocks, are there differences in the systematic central bank reaction function of the ECB and the four most important central banks of the EMS (Germany, France, Italy and Spain).
The second study analyzes the built-up of internal and external imbalances in Spain, i.e., on the housing market and in the current account, during the run-up to the financial crisis in 2007/08. The analysis differentiates between domestic Spain-specific factors and foreign Eurozone-factors that led to the macroeconomic imbalances.
The third and last study develops a price-theoretic credit supply model. In order to validate the model empirically, a credit market is estimated on the basis of data from the German credit market for enterprises. Finally, the results from the empirical exercise are compared to the predictions of the theoretic model.
Methodologically, all studies draw heavily on time series methods such as (multi-country) vector autoregressions (VARs) and time series regressions.
Visual information is essential for Drosophila to navigate its environment. The visual system of the fly has been studied for many decades and has yielded many insights about vision in general. However, visual information can be ambiguous and the system processing it needs to be able to cope with that. In this study, the visual orientation behavior of Drosophila is challenged by panoramic incoherent motion stimuli to which the fly can respond in three different, equally adaptive ways. The study is conducted in a well-established setup, the so-called flight simulator (Heisenberg and Wolf, 1993), where the fly can control its visual surroundings in stationary flight with its yaw torque, which is simultaneously recorded. The fly can either use one of two incoherently moving panorama patterns or the integrated motion of both as its reference for straight flight. It is observed that flies use all three of these behavioral alternatives for orientation. Previous models of fly motion vision do not predict a bimodal tuning to incoherent wide-field motion stimuli (Joesch et al., 2008, Borst et al., 1995), however, a recent study on blowflies could suggests that they show component selectivity to the individual moving gratings in a compound plaid stimulus (Saleem et al., 2012). Here, it can be shown that the same bimodal tuning manifests in Drosophila, although the stimuli used are different and most of the experiments are conducted in closed loop. It is found that the extent to which the Drosophila expresses this component selectivity in its orientation behavior, i.e. how often it stabilizes a single panorama pattern instead of the integrated motion of both, depends on two properties of the panorama stimuli, pattern contrast and horizontal pattern element distance. Single pattern stabilization decreases with increasing contrast and increasing pattern element distance. In the latter case, it increases again when there are very few horizontal pattern elements, although that appears to be the result of a lack of rivalry between the patterns due to the low number of pattern elements. Both increased pattern contrast and pattern element distance increase the salience of the single pattern elements. A single element in a compound visual stimulus, like a dot within a dot pattern, can be interpreted as a standalone figure or a part of a bigger unit. Previous studies on Drosophila vision have concentrated on how the fly discriminates a figure from the background (Heisenberg and Wolf, 1984, Bahl et al., 2013, Aptekar et al., 2012), but have hardly touched the question of what qualifies a figure or a background (i.e. a panorama) stimulus as such. In the present study, it is observed that, when exposed to incoherent panoramic motion stimuli, the flies prefer to orient themselves towards the average of the two motions when the panorama stimuli possess strong figure features and towards the single patterns when they do not and single pattern elements are therefore less salient.
The above-mentioned plaid stimuli are a well-known multistable percept in human psychophysics. Multistability is a property of higher visual systems and considered an indicator of endogenous activity in vision. As Drosophila expresses behavioral multistability in the IPMP, it is evaluated in this respect. The results show several parallels to human multistable perception. For one, the frequency and duration with which a behavior occurs, can be influenced, but the occurrence of the behaviors is non-deterministic and not coupled to the stimulus. It can also be shown that the switches between behaviors do not stem from a rivalry of the two visual hemispheres of the fly, although monocularity does also influence the likelihood with which the behaviors occur. Secondly, like in human perceptual rivalry, individual flies exhibit strong idiosyncrasies regarding the overall durations they spend with the different behaviors and the frequencies with which they switch between them. Finally, the distribution of the durations between the behavioral switches can be fit to the same function as the distribution of percept durations in human multistable perception, the gamma function, although it has a different shape and therefore also differing parameters. The Drosophila mutant radish, which has been shown to have attention-like deficits (van Swinderen and Brembs, 2010, Koenig et al., 2016a), does also express an altered behavior in the IPMP compared to wildtype flies. As these behavioral alterations resemble effects on multistable perception found in humans suffering from ADHD (Amador-Campos et al., 2015) and perceptual multistability is generally considered to be closely related to attention (Leopold and Logothetis, 1999), attentional processes are also very likely to play a role in the flies’ behavior in the IPMP.
In conclusion, the visual system of Drosophila is capable disentangle incoherent motion stimuli even if they overlap and cover the entire visual field, i.e. it shows component selectivity of wide-field motion. Whether it uses a single wide-field motion component or the average of two as its reference for straight flight depends on pattern contrast and horizontal pattern element density, which indicates an involvement of a figure-background rivalry. This rivalry and the one between the two wide-field motion components elicit a multistability in the orientation behavior of the fly the temporal dynamics of which partially resemble the temporal dynamics of human multistable perception and which also suggests the involvement of attentional processes.
In resent years the rate of biologics (proteins, cytokines and growth-factors) as newly registered drugs has steadily risen. The greatest challenge for pharmaceutical biologics poses its arrival at the desired target location due to e.g. proteolytic and pH dependent degradation, plasma protein binding, insolubility etc. Therefore, advanced drug delivery systems, where biologics are site directed immobilized to carriers mimicking endogenous storage sites such as the extra cellular matrix can enormously assist the application and consequently the release of exogenous administered pharmaceutical biologics. We have resorted to the fibroblast growth factor 2/ heparansulfate/ fibroblast growth factor bindingprotein 1 system as a model.
Phase I deals with the selection and subcloning of a wild type murine FGF-2 construct into the bacterial pHis-Trx vector system for high yields of expression and fast, feasible purification measurements. This first step enables the provision of mFGF-2, which plays a pivotal part as a growth factor in the wound healing process as well as the vascularization of tumors, for future investigations. Therefore, the correct expression of mFGF-2 was monitored via MALDI-MS and SDS-PAGE, whereas the proper folding of the tertiary beta-trefoil structure was assessed by fluorescence spectroscopy. The MTT assay allowed us to ensure that the bioactivity was comparable to sourced FGF-2. In the last step, the purity; a requirement for future binding- and protein-protein interaction assays was monitored chromatographically (RP-HPLC). In addition, a formulation for freeze-drying was developed to ensure protein stability and integrity over a period of 60 days. Altogether, the bacterial expression and purification proved to be suitable, leading to bioactive and stable production of mFGF-2.
In Phase II the expression, purification and characterization of FGFBP1, as the other key partner in the FGF-2/ HS/ FGFBP1 system is detailed. As FGFBP1 exhibits a complex tertiary structure, comprised of five highly conserved disulfide bonds and presumably multiple glycosylation sites, a eukaryotic expression was used. Human embryonic kidney cells (HEK 293F) as suspension cells were transiently transfected with DNA-PEI complexes, leading to expression of Fc-tagged murine FGFBP1. Different PEI to DNA ratios and expression durations were investigated for optimal expression yields, which were confirmed by western blot analysis and SDS-PAGE. LC-MS/MS analysis of trypsin and elastase digested FGFBP1 gave first insights of the three O-glycosylation sites. Furthermore, the binding protein was modified by inserting a His6-tag between the Fc-tag (for purification) and the binding protein itself to enable later complexation with radioactive 99mTc as radio ligand to track bio distribution of administered FGFBP1 in mice. Overall, expression, purification and characterization of mFGFBP1 variants were successful with a minor draw back of instability of the tag free binding protein.
Combining the insights and results of expressed FGF-2 as well as FGFBP1 directed us to the investigation of the interaction of each partner in the FGF-2/ HS/ FGFBP1 system as Phase III. Thermodynamic behavior of FGF-2 and low molecular weight heparin (enoxaparin), as a surrogate for HS, under physiological conditions (pH 7.4) and pathophysiological conditions, similar to hypoxic, tumorous conditions (acidic pH) were monitored by means of isothermal titration calorimetry. Buffer types, as well as the pH influences binding parameters such as stoichiometry (n), enthalpy (ΔH) and to some extent the dissociation constant (KD). These findings paved the way for kinetic binding investigations, which were performed by surface plasmon resonance assays. For the first time the KD of full length FGFBP1 and FGF-2 was measured. Furthermore the binding behavior of FGF-2 to FGFBP1 in the presence of various heparin concentrations suggest a kinetic driven release of bound FGF-2 by its chaperone FGFBP1.
Having gathered multiple data on the FGF-2 /HS /FGFBP1 system mainly in solution, our next step in Phase IV was the development of a test system for immobilized proteins. With the necessity to better understand and monitor the cellular effects of immobilized growth factors, we decorated glass slides in a site-specific manner with an RGD-peptide for adhesion of cells and via the copper(I)-catalyzed-azide-alkyne cycloaddition (CuAAC) a fluorescent dye (a precursor for modified proteins for click chemistry). Human osteosarcoma cells were able to grow an the slides and the fluorescence dye was immobilized in a biocompatible way allowing future thorough bioactivity assay such as MTT-assays and phospho-ERK-assays of immobilized growth factors.
Micromegas are parallel-plate gaseous detectors with micro-pattern readout structures that are able to measure precisely and efficiently at high particle rates. Their difference with respect to other gaseous detectors is that the space in which particles ionise the gas and create electrons is separated from the region in which these electrons are multiplied (or amplified) by a thin metallic mesh. In the ionisation region, typically a few mm thick, a moderate field of a few hundred V/cm is applied. The amplification region with a homogeneous electrical field of 40--50~kV/cm is only 100--150~$\upmu$m thick. The latter guarantees that the positive ions produced in the amplification process are rapidly evacuated and the possibility to build up space charge at high rate is reduced. Critical in micromegas detectors are sparks in the thin amplification region in the presence of the high electrical field. This problem was solved in 2011 by introducing a spark protection scheme. It consists of a layer of resistive strips on top of the readout strips, separated from the latter by a thin insulation layer.
Micromegas with the spark protection scheme were selected as instrumentation of the first ATLAS forward muon station (NSW) in the upgrade of the ATLAS detector for the operation of the Large Hadron Collider (LHC) at high luminosity (HL-LHC), expected for 2026.
The main subjects of this thesis are: the characterisation of the first micromegas quadruplet prototypes for the NSW detectors; the characterisation of the materials used in the spark-protection system; and the study of the influence of the mesh distance holders (pillars) on the detector performance.
The thesis starts with a brief introduction into the LHC and ATLAS projects, followed by a chapter that explains the reason for the upgrade of the ATLAS muon system and shows the layout of the NSW.
The first of the three main chapters covers the construction and the characterisation of the first two prototypes for the NSW detectors. These detectors comprise four detection layers and have the same mechanical structure as the NSW detectors. The mechanical precision as well as the homogeneity of the detector response are discussed. The latter has been measured using X-rays and cosmic rays. The spatial resolution that can be achieved with these detectors precision has been measured at the MAMI accelerator at Mainz with low-energy electrons. The chapter is completed by a section that describes the successful integration of a data acquisition system (DAQ) into the official ATLAS DAQ system that was required for an initially planned installation of one of the prototypes on the existing Small Wheel.
The next chapter presents a study of the influence of temperature and humidity changes on the resistive strips used in the spark protection system. In addition the long-term stability of the resistive material has been measured accumulating charge equivalent to 100 years of operation in the HL-LHC and exposing the samples to intense gamma irradiation equivalent to 10 years of HL-LHC operation.
The third part covers the impact of the mesh distance holders (pillars) on the performance of the detector. This study has been performed with a 10 x 10 cm$^2$ bulk-micromegas with two different pillar shapes. Both 5.9 keV gammas from a $^{55}$Fe and 8 keV X-rays from a Cu target were used. In this context also the electrostatic charge-up of the detector is discussed.
In the Appendices one finds a summary of the fundamental physics relevant for gaseous detectors as well as some supporting material for the topics covered in the main part of the thesis.
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.