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A completely revised and enhanced version of the water balance model MODBIL of the regional water balance dynamics of Cyprus was developed for this study. The model is based on a physical, process-oriented, spatially distributed concept and is applied for the calculation of all important water balance components of the island for the time period of 1961-2004. The calibrated results are statistically analysed and visualised for the whole island area, and evaluated with respect to the renewability of natural water resources. Climate variability and changes of the past decades are analysed with regard to their influence on water balances. A further part of the study focusses on the simulation of impacts of potential climate change. The water balances are simulated under changing climatic conditions on the base of theoretical precipitation, temperature and relative humidity changes and the revealed impacts on the water balances and renewable resources are discussed. Furthermore, a first principal water balance scenario is developed for the assessment of the regional hydrological changes expected for Cyprus by the end of the 21st century. The scenarios are based on recently calculated climate change assessments for this part of the Mediterranean, under an assumed further increase of greenhouse gasses in the atmosphere.
There is such vast amount of visual information in our surroundings at any time that filtering out the important information for further processing is a basic requirement for any visual system. This is accomplished by deploying attention to focus on one source of sensory inputs to the exclusion of others (Luck and Mangun 2009). Attention has been studied extensively in humans and non human primates (NHPs). In Drosophila, visual attention was first demonstrated in 1980 (Wolf and Heisenberg 1980) but this field remained largely unexplored until recently. Lately, however, studies have emerged that hypothesize the role of attention in several behaviors but do not specify the characteristic properties of attention. So, the aim of this research was to characterize the phenomenon of visual attention in wild-type Drosophila, including both externally cued and covert attention using tethered flight at a torque meter. Development of systematic quantifiable behavioral tests was a key aspect for this which was not only important for analyzing the behavior of a population of wild-type flies but also for comparing the wild-type flies with mutant flies. The latter would help understand the molecular, genetic, and neuronal bases of attention. Since Drosophila provides handy genetic tools, a model of attention in Drosophila will serve to the greater questions about the neuronal circuitry and mechanisms involved which might be analogous to those in primates. Such a model might later be used in research involving disorders of attention. Attention can be guided to a certain location in the visual field by the use of external cues. Here, using visual cues the attention of the fly was directed to one or the other of the two visual half-fields. A simple yet robust paradigm was designed with which the results were easily quantifiable. This paradigm helped discover several interesting properties of the cued attention, the most substantial one being that this kind of external guidance of attention is restricted to the lower part of the fly’s visual field. The guiding cue had an after-effect, i.e. it could occur at least up to 2 seconds before the test and still bias it. The cue could also be spatially separated from the test by at least 20° and yet attract the attention although the extent of the focus of attention (FoA) was smaller than one lower visual half-field. These observations excluded the possibility of any kind of interference between the test and the cue stimuli. Another interesting observation was the essentiality of continuous visibility of the test stimulus but not the cue for effective cuing. When the contrast of the visual scene was inverted, differences in response frequencies and cuing effects were observed. Syndirectional yaw torque responses became more frequent than the antidirectional responses and cuing was no longer effective in the lower visual field with inverted contrast. Interestingly, the test stimulus with simultaneous displacement of two stripes not only effectuated a phasic yaw torque response but also a landing response. A 50 landing response was produced in more than half of the cases whenever a yaw torque response was produced. Elucidation of the neuronal correlates of the cued attention was commenced. Pilot experiments with hydroxyurea (HU) treated flies showed that mushroom bodies were not required for the kind of guidance of attention tested in this study. Dopamine mutants were also tested for the guidance of attention in the lower visual field. Surprisingly, TH-Gal4/UAS-shits1 flies flew like wild-type flies and also showed normal optomotor response during the initial calibration phase of the experiment but did not show any phasic yaw torque or landing response at 18 °C, 25 °C or 30 °C. dumb2 flies that have almost no D1 dopamine receptor dDA1 expression in the mushroom bodies and the central complex (Kim et al. 2007) were also tested and like THGal4/ UAS-shits1 flies did not show any phasic yaw torque or landing response. Since the dopamine mutants did not show the basic yaw torque response for the test the role of dopamine in attention could not be deduced. A different paradigm would be needed to test these mutants. Not only can attention be guided through external cues, it can also be shifted endogenously (covert attention). Experiments with the windows having oscillating stripes nicely demonstrated the phenomenon of covert attention due to the production of a characteristic yaw torque pattern by the flies. However, the results were not easily quantifiable and reproducible thereby calling for a more systematic approach. Experiments with simultaneous opposing displacements of two stripes provide a promising avenue as the results from these experiments showed that the flies had a higher tendency to deliver one type of response than when the responses would be produced stochastically suggesting that attention increased this tendency. Further experiments and analysis of such experiments could shed more light on the mechanisms of covert attention in flies.
This thesis comprises three essays that study the impact of trade unions on occupational health and safety (OHS). The first essay proposes a theoretical model that highlights the crucial role that unions have played throughout history in making workplaces safer. Firms traditionally oppose better health standards. Workplace safety is costly for firms but increases the average health of workers and thereby the aggregate labour supply. A laissez-faire approach in which firms set safety standards is suboptimal as workers are not fully informed of health risks associated with their jobs. Safety standards set by better-informed trade unions are output and welfare increasing. The second essay extends the model to a two-country world consisting of the capital-rich "North" and the capital-poor "South". The North has trade unions that set high OHS standards. There are no unions in the South and OHS standards are low. Trade between these two countries can imply a reduction in safety standards in the North, lowering the positive welfare effects of trade. Moreover, when trade unions are also established in the South, northern OHS standards might be further reduced. The third essay studies the impact of unions on OHS from an empirical perspective. It focuses on one component of OHS: occupational injuries. A literature summary including 25 empirical studies shows that most studies associate unions with less fatal occupational injuries. This is in perfect line with the anecdotal evidence and the basic model from the first essay. However, the literature summary also shows that most empirical studies associate unions with more nonfatal occupational injuries. This puzzling result has been explained in the literature by (1) lower underreporting in unionized workplaces, (2) unions being more able to organize hazardous workplaces, and (3) unionized workers preferring higher wages at the expense of better working conditions. Using individual-level panel data, this essay presents evidence against all these three explanations. However, it cannot reject the hypothesis that workers reduce their precautionary behaviour when they join a trade union. Hence, the puzzle seems to be due to a strong moral hazard effect. These empirical results suggest that the basic model from the first essay needs to be extended to account for this moral hazard effect.
The work presented in this thesis was mainly targeted at exploring the capabilities of evaporation based LC detectors as well as further alternatives for the control of impurities in substances not exhibiting a suitable chromophore for UV-detection. In the course of the work carried out, several new methods for the identification, impurities control and composition testing of APIs were elaborated. An evaporation based detector that entered into the field of pharmaceutical analysis in the recent years was the Evaporative Light Scattering Detector (ELSD). However, non-reproducible spikes were reported when injecting concentrated test solutions as they are usually required for the control of impurities. The reasons, for the appearance of these spikes as well as possibilities for their avoidance were explored in a systematic study. Moreover, the dependence of the detector sensitivity on different eluent composition, eluent flow-rate and ELSD settings was investigated. In the course of the revision of the Ph.Eur. monographs for aspartic acid and alanine, a C18 reversed phase ion-pair LC method using 1 mmol/L of perfluoroheptanoic acid as an ion-pair reagent and a charged aerosol detector (CAD) was developed and fully validated for the purity control of Asp. The method was capable of separating the organic acids and major amino acids known to occur as process related impurities. With a slight modification, the method was also applicable for the purity control of Ala. Based on the developed LC-CAD method for the impurity control of alanine, a comparative study of the performance characteristics of different evaporation based LC detectors, i.e. ELSD, CAD and the recently developed Nano Quantity Analyte Detector (NQAD) was carried out. Additionally, an MS detector and qNMR were included in this study. It was found that the control of impurities in Alanine at an ICH conform level could be ensured using LC coupled to CAD, MSD and NQAD detection as well as by the use of qNMR. In terms of performance, prize and ease of use CAD and NQAD were found to be the most suitable alternatives. In terms of repeatability and sensitivity, the CAD appeared slightly superior to the NQAD. The quality of streptomycin sulfate is not sufficiently controlled by the current Ph.Eur. monograph in that an appropriate test for the control of the related substances is missing. A study was carried out to develop a C18 reversed phase ion-pair LC method using pentafluoropropionic acid as an ion-pair reagent and a CAD for the identification and control of the related substances. The developed method allowed the separation of 21 impurities from streptomycin. Moreover, coupling of the method to MS allowed the identification of the separated impurities. The method was shown to be sufficiently sensitive to control the related substances with a disregard limit of 0.1% as it is normally applied in the Ph.Eur. for products derived from fermentation. Currently, the aescin content of horse-chestnut standardized dry extract is determined using a complex and laborious photometric determination. A more selective LC-UV assay determination for beta-aescin has been proposed for the Ph.Eur. draft monograph of horse-chestnut standardized dry extract. Possibilities were explored to further improve the LC-method using detection by CAD. It was demonstrated that by the use of a modified LC-CAD method several problems related to the differences in the UV-response of the various components contained in the active aescin fraction could be eliminated. Moreover the proposed reference standard strategy was reviewed. Eventually, it was demonstrated on the example of two different clusters of pharmacologically active peptides how low energy collision induced dissociation mass spectrometry (low energy CID-MS) can successfully be used for identification testing in pharmacopoeial monographs. In this respect, the combination of a direct confirmation of the molecular mass via the m/z-ratio of the molecule ions with structural sequence information obtained by low energy CID-MS experiments was found to deliver a higher degree of certainty of the identity of a given substance than the set of tests currently described in the monographs. A significant gain in efficiency and throughput and important reduction of the amount of sample consumed during testing were identified as being additional advantages of this approach. Taken together, it could be demonstrated on various examples how recent technological advancements in the field of analytical chemistry can contribute to improve the quality control of APIs.
In this thesis we consider a reactive transport model with precipitation dissolution reactions from the geosciences. It consists of PDEs, ODEs, algebraic equations (AEs) and complementary conditions (CCs). After discretization of this model we get a huge nonlinear and nonsmooth equation system. We tackle this system with the semismooth Newton method introduced by Qi and Sun. The focus of this thesis is on the application and convergence of this algorithm. We proof that this algorithm is well defined for this problem and local even quadratic convergent for a BD-regular solution. We also deal with the arising linear equation systems, which are large and sparse, and how they can be solved efficiently. An integral part of this investigation is the boundedness of a certain matrix-valued function, which is shown in a separate chapter. As a side quest we study how extremal eigenvalues (and singular values) of certain PDE-operators, which are involved in our discretized model, can be estimated accurately.
Platelet activation and adhesion results in thrombus formation that is essential for normal hemostasis, but can also cause irreversible vessel occlusion leading to myocardial infarction or stroke. The C-type lectin-like receptor 2 (CLEC-2) was recently identified to be expressed on the platelet surface, however, a role for this receptor in hemostasis and thrombosis had not been demonstrated. In the current study, the involvement of CLEC-2 in platelet function and thrombus formation was investigated using mice as a model system. In the first part of the thesis, it was found that treatment of mice with a newly generated monoclonal antibody against murine CLEC-2 (INU1) led to the complete and highly specific loss of the receptor in circulating platelets (a process termed “immunodepletion”). CLEC-2-deficient platelets were completely unresponsive to the CLEC-2-specific agonist rhodocytin, whereas activation induced by all other tested agonists was unaltered. This selective defect translated into severely decreased platelet aggregate formation under flow ex vivo; and in vivo thrombosis models revealed impaired stabilization of formed thrombi with enhanced embolization. Consequently, CLEC-2 deficiency profoundly protected mice from occlusive arterial thrombus formation. Furthermore, variable bleeding times in INU1-treated mice indicated a moderate hemostatic defect. This reveals for the first time that CLEC-2 significantly contributes to thrombus stability in vitro and in vivo and plays a crucial role in hemostasis and arterial thrombosis. Thus, CLEC-2 represents a potential novel anti-thrombotic target that can be functionally inactivated in vivo. This in vivo down-regulation of platelet surface receptors might be a promising approach for future anti-thrombotic therapy. The second part of the work investigated the effect of double-immunodepletion of the immunoreceptor tyrosine-based activation motif (ITAM)- and hemITAM-coupled receptors, platelet glycoprotein (GP) VI and CLEC-2, on hemostasis and thrombosis using a combination of the GPVI- and CLEC-2-specific antibodies, JAQ1 and INU1, respectively. Isolated targeting of either GPVI or CLEC-2 in vivo did not affect expression or function of the respective other receptor. However, simultaneous treatment with both antibodies resulted in the sustained loss of GPVI and CLEC-2 signaling in platelets, while leaving other activation pathways intact. In contrast to single deficiency of either receptor, GPVI/CLEC-2 double-deficient mice displayed a dramatic hemostatic defect. Furthermore, this treatment resulted in profound impairment of arterial thrombus formation that far exceeded the effects seen in single-depleted animals. Importantly, similar results were obtained in Gp6-/- mice that were depleted of CLEC-2 by INU1-treatment, demonstrating that this severe bleeding phenotype was not caused by secondary effects of combined antibody treatment. These data suggest that GPVI and CLEC-2 can be independently or simultaneously down-regulated in platelets in vivo and reveal an unexpected functional redundancy of the two receptors in hemostasis and thrombosis. Since GPVI and CLEC-2 have intensively been discussed as potential anti-thrombotic targets, these results may have important implications for the development of novel, yet save anti-GPVI or anti-CLEC-2-based therapies.
The Ecology and Population structure of the invasive Yelllow Crazy Ant Anoplolepis gracilipes
(2011)
The invasive Yellow Crazy Ant Anoplolepis gracilipes is a widespread tropical ant species which is particularly common in anthropogenically disturbed habitats in South-East Asia and the Indopacific region. Its native range is unknown, and there is little information concerning its social structure as a potential mechanism facilitating invasion as well as its ecology in one of the putative native ranges, South-East Asia. Using mitochondrial DNA sequences, I demonstrated that the majority of the current Indopacific colonies were likely introduced from South-East Asian populations, which in turn may have been introduced much earlier from a yet unidentified native range. By conducting behavioral, genetic and chemical analyses, I found that A. gracilipes supercolonies contain closely related individuals, thus resembling enlarged versions of monogynous, polydomous colonies of other ant species. Furthermore, mutually aggressive A. gracilipes supercolonies were highly differentiated both genetically and chemically, suggesting limited or even absent gene flow between supercolonies. Intranidal mating and colony-budding are most likely the predominant, if not the exclusive mode of reproduction and dispersal strategy of A. gracilipes. Consequently, a positive feedback between genetic, chemical and behavioral traits may further enhance supercolony differentiation though genetic drift and neutral evolution. This potential scenario led to the hypothesis that absent gene flow between different A. gracilipes supercolonies may drive them towards different evolutionary pathways, possibly including speciation. Thus, I examined one potential way by which gene flow between supercolonies of an ant species without nuptial flights may be maintained, i.e. the immigration of sexuals into foreign supercolonies. The results suggest that this option of maintaining gene flow between different supercolonies is likely impaired by severe aggression of workers towards allocolonial sexuals. Moreover, breeding experiments involving males and queens from different supercolonies suggest that A. gracilipes supercolonies may already be on the verge of reproductive isolation, which might lead to the diversification of A. gracilipes into different species. Regarding the ecological consequences of its potential introduction to NE-Borneo, I could show that A. gracilipes supercolonies may affect the local ant fauna. The ant community within supercolonies was less diverse and differed in species composition from areas outside supercolonies. My data suggest that the ecological dominance of A. gracilipes within local ant communities was facilitated by monopolization of food sources within its supercolony territory, achieved by a combination of rapid recruitment, numerical dominance and pronounced interspecific aggression. A. gracilipes’ distribution is almost exclusively limited to anthropogenically altered habitat, such as residential and agricultural areas. The rate at which habitat conversion takes place in NE-Borneo will provide A. gracilipes with a rapidly increasing abundance of suitable habitats, thus potentially entailing significant population growth. An potentially increasing population size and ecological dominance, however, are not features that are limited to invasive alien species, but may also occur in native species that become ‘pests’ in an increasing abundance of anthropogenically altered habitat. Lastly, I detected several ant guests in supercolonies of A. gracilipes. I subsequently describe the relationship between one of them (the cricket Myrmecophilus pallidithorax) and its ant host. By conducting behavioral bioassays and analyses of cuticular hydrocarbon (CHC) profiles, I revealed that although M. pallidithorax is attacked and consumed by A. gracilipes whenever possible, it may evade aggression from its host by a combination of supreme agility and, possibly, chemical deception. This thesis adds to our general understanding of biological invasions by contributing species-specific data on a previously understudied invasive organism, the Yellow Crazy Ant Anoplolepis gracilipes. Introductions which may have occurred a long time ago may make it difficult to determine whether a given species is an introduced invader or a native pest species, as both may have pronounced ecological effects in native species communities. Furthermore, this thesis suggests that supercolonialism in invasive ants may not be an evolutionary dead end, but that it may possibly give rise to new species due to reproductive boundaries between supercolonies evoked by peculiar mating and dispersal strategies.
A major goal of the main topics of ecology is to answer the question of how species can co-exist and maintain biodiversity. To understand how community dynamics operate in different spatio-temporal dimensions to govern biodiversity patterns requires a process-based knowledge. Thus, this study focused primarily on biodiversity patterns and ecological processes at both spatial and temporal scales. Spatially, the diversity and similarity of spider communities in high, intermediate, and low strata of beech trees represented a set of age-related effects: Old-growth trees provided unique and distinct resources to spiders and in turn possessed discrete spider compositions. Intra-annually, spider communities in different seasons showed a repeated, predictable temporal dynamics. Inter-annually, comparison revealed that neutral and niche models can operate in tandem, and that both are needed to fully explain the dynamics of arboreal spider assemblages among different canopy strata in this beech forest.
An animal depends heavily on its sense of smell and its ability to form olfactory associations as this is crucial for its survival. This thesis studies in two parts about such associative olfactory learning in larval Drosophila. The first part deals with different aspects of odour processing while the second part is concerned with aspects related to memory and learning. Chapter I.1 highlights how odour intensities could be integrated into the olfactory percept of larval Drosophila. I first describe the dose-effect curves of learnability across odour intensities for different odours and then choose odour intensities from these curves such that larvae are trained at intermediate odour intensity, but are tested for retention with either that trained intermediate odour intensity, or with respectively HIGHer or LOWer intensities. I observe a specificity of retention for the trained intensity for all the odours used. Further I compare these findings with the case of adult Drosophila and propose a circuit level model of how such intensity coding comes about. Such intensity specificity of learning adds to appreciate the richness in 'content' of olfactory memory traces, and to define the demands on computational models of olfaction and olfactory learning. Chapter I.2 provides a behaviour-based estimate of odour similarity using four different types of experiments to yield a combined, task-independent estimate of perceived difference between odour-pairs. Further comparison of these perceived differences to published measures of physico- chemical difference reveals a weak correlation. Notable exceptions to this correlation are 3-octanol and benzaldehyde. Chapter I.3 shows for two odours (3-octanol and 1-octene-3-ol) that perceptual differences between these odours can either be ignored after non-discriminative training (generalization), or accentuated by odour-specific reinforcement (discrimination). Anosmic Or83b1 mutants have lost these faculties, indicating that this adaptive adjustment is taking place downstream of Or83b expressing sensory neurons. Chapter II.1 of this thesis deals with food supplementation with dried roots of Rhodiola rosea. This dose-dependently improves odour- reward associative function in larval Drosophila. Supplementing fly food with commercially available tablets or extracts, however, does not have a 'cognitive enhancing' effect, potentially enabling us to differentiate between the effective substances in the root versus these preparations. Thus Drosophila as a genetically tractable study case should now allow accelerated analyses of the molecular mechanism(s) that underlie this 'cognitive enhancement' conveyed by Rhodiola rosea. Chapter II.2 describes the role of Synapsin, an evolutionarily conserved presynaptic phosphoprotein using a combined behavioural and genetic approach and asks where and how, this protein affects functions in associative plasticity of larval Drosophila. This study shows that a Synapsin-dependent memory trace can be pinpointed to the mushroom bodies, a 'cortical' brain region of the insects. On the molecular level, data in this study assign Synapsin as a behaviourally- relevant effector of the AC-cAMP-PKA cascade.
Desert ants of the genus Cataglyphis have become model systems for the study of insect navigation. An age-related polyethism subdivides their colonies into interior workers and short-lived light-exposed foragers. While foraging in featureless and cluttered terrain over distances up to several hundred meters, the ants are able to precisely return back to their often inconspicuous nest entrance. They accomplish this enormous navigational performance by using a path integration system - including a polarization compass and an odometer - as their main navigational means in addition to landmark-dependent orientation and olfactory cues. C. fortis, being the focus of the present thesis, is endemic to the salt flats of western North Africa, which are completely avoided by other Cataglyphis species. The fact that Cataglyphis ants undergo a behavioral transition associated with drastically changing sensory demands makes these ants particularly interesting for studying synaptic plasticity in visual and olfactory brain centers. This thesis focuses on plastic changes in the mushroom bodies (MBs) - sensory integration centers supposed to be involved in learning and memory presumably including landmark learning - and in synaptic complexes belonging to the lateral accessory lobe (LAL) known to be a relay station in the polarization processing pathway. To investigate structural synaptic plasticity in the MBs of C. fortis, synaptic complexes (microglomeruli, MG) in the visual (collar) and olfactory (lip) input regions of the MB calyx were immunolabeled and their pre- and postsynaptic profiles were quantified. The results show that a volume increase of the MB calyx during behavioral transition is associated with a decrease of MG number - an effect called pruning - in the collar and, less pronounced, in the lip that goes along with dendritic expansion in MB intrinsic Kenyon cells. Light-exposure of dark-reared ants of different age classes revealed similar effects and dark-reared ants age-matched to foragers had MG numbers comparable to those of interior workers. The results indicate that the enormous structural synaptic plasticity of the MB calyx collar is primarily driven by visual experience rather than by an internal program. Ants aged artificially for up to one year expressed a similar plasticity indicating that the system remains flexible over the entire life-span. To investigate whether light-induced synaptic reorganization is reversible, experienced foragers were transferred back to darkness with the result that their MBs exhibit only some reverse-type characteristics, in particular differences in presynaptic synapsin expression. To investigate the structure of large synaptic complexes in the LAL of C. fortis and to detect potential structural changes, pre- and postsynaptic profiles in interior workers and foragers were immunolabeled and quantified by using confocal imaging and 3D-reconstruction. The results show that these complexes consist of postsynaptic processes located in a central region that is surrounded by a cup-like presynaptic profile. Tracer injections identified input and output tracts of the LAL: projection neurons from the anterior optic tubercle build connections with neurons projecting to the central complex. The behavioral transition is associated with an increase by ~13% of synaptic complexes suggesting that the polarization pathway may undergo some sort of calibration process. The structural features of these synaptic contacts indicate that they may serve a fast and reliable signal transmission in the polarization vision pathway. Behavioral analyses of C. fortis in the field revealed that the ants perform exploration runs including pirouette-like turns very close to the nest entrance for a period of up to two days, before they actually start their foraging activity. During these orientation runs the ants gather visual experience and might associate the nest entrance with specific landmarks or get entrained to other visual information like the polarization pattern, and, concomitantly adapt their neuronal circuitries to the upcoming challenges. Moreover, the pirouettes may serve to stimulate and calibrate the neuronal networks involved in the polarization compass pathway. Video recordings and analyses demonstrate that light experience enhanced the ants’ locomotor activity after three days of exposure. The fact that both the light-induced behavioral and neuronal changes in visual brain centers occur in the same time frame suggests that there may be a link between structural synaptic plasticity and the behavioral transition from interior tasks to outdoor foraging. Desert ants of the genus Cataglyphis possess remarkable visual navigation capabilities, but also employ olfactory cues for detecting nest and food sites. Using confocal imaging and 3D-reconstruction, potential adaptations in primary olfactory brain centers were analyzed by comparing the number, size and spatial arrangement of olfactory glomeruli in the antennal lobe of C. fortis, C. albicans, C. bicolor, C. rubra, and C. noda. Workers of all Cataglyphis species have smaller numbers of glomeruli compared to those of more olfactory-guided Formica species - a genus closely related to Cataglyphis - and to those previously found in other olfactory-guided ant species. C. fortis has the lowest number of glomeruli compared to all other species, but possesses a conspicuously enlarged glomerulus that is located close to the antennal nerve entrance. Males of C. fortis have a significantly smaller number of glomeruli compared to female workers and queens and a prominent male-specific macroglomerulus likely to be involved in sex pheromone communication. The behavioral significance of the enlarged glomerulus in female workers remains elusive. The fact that C. fortis inhabits microhabitats that are avoided by all other Cataglyphis species suggests that extreme ecological conditions may not only have resulted in adaptations of visual capabilities, but also in specializations of the olfactory system. The present thesis demonstrates that Cataglyphis is an excellent candidate for studying the neuronal mechanisms underlying navigational features and for studying neuronal plasticity associated with the ant’s lifelong flexibility of individual behavioral repertoires.
Switches in trypanosome differentiation: ALBA proteins acting on post-transcriptional mRNA control
(2011)
Trypanosoma brucei is a digenetic eukaryotic parasite that develops in different tissues of a mammalian host and a tsetse fly. It is responsible for sleeping sickness in sub-saharan Africa. The parasite cycle involves more than nine developmental stages that can be clearly distinguished by their general morphology, their metabolism and the relative positioning of their DNA-containing organelles. During their development, trypanosomes remain exclusively extracellular and encounter changing environments with different physico-chemical properties (nutritional availability, viscosity, temperature, etc.). It has been proposed that trypanosomes use their flagellum as a sensing organelle, in agreement with the established role of structurally-related cilia in metazoa and ciliates. Recognition of environmental triggers is presumed to be at the initiation of differentiation events, leading to the parasite stage that is the best suited to the new environment. These changes are achieved by the modification of gene expression programmes, mostly underlying post-transcriptional control of mRNA transcripts. We first demonstrate that the RNA-binding proteins ALBA3/4 are involved in specific differentiation processes during the parasite development in the fly. They are cytosolic and expressed throughout the parasite cycle with the exception of the stages found in the tsetse fly proventriculus, as shown by both immunofluorescence and live cell analysis upon endogenous tagging with YFP. Knock-down of both proteins in the developmental stage preceding these forms leads to striking modifications: cell elongation, cell cycle arrest and relocalization of the nucleus in a posterior position, all typical of processes acting in parasites found in the proventriculus region. When ALBA3 is over-expressed from an exogenous copy during infection, it interferes with the relocalization of the nucleus in proventricular parasites. This is not observed for ALBA4 over-expression that does not visibly impede differentiation. Both ALBA3/4 proteins react to starvation conditions by accumulating in cytoplasmic stress granules together with DHH1, a recognized RNA-binding protein. ALBA3/4 proteins also partially colocalize with granules formed by polyA+ RNA in these conditions. We propose that ALBA are involved in trypanosome differentiation processes where they control a subset of developmentally regulated transcripts. These processes involving ALBA3/4 are likely to result from the specific activation of sensing pathways. In the second part of the thesis, we identify novel flagellar proteins that could act in sensing mechanisms. Several protein candidates were selected from a proteomic analysis of intact flagella performed in the host laboratory. This work validates their flagellar localization with high success (85% of the proteins examined) and defines multiple different patterns of protein distribution in the flagellum. Two proteins are analyzed during development, one of them showing down-regulation in proventricular stages. The functional analysis of one novel flagellar membrane protein reveals its rapid dynamics within the flagellum but does not yield a visible phenotype in culture. This is coherent with sensory function that might not be needed in stable culture conditions, but could be required in natural conditions during development. In conclusion, this work adds new pieces to the puzzle of identifying molecular switches involved in developmental mRNA control and environmental sensing in trypanosome stages in the tsetse fly.
Type 1 diabetes affects around 0.5% of the population in developed countries and the incidence rates have been rising over the years. The destruction of beta cells is irreversible and the current therapy available to patients only manages the symptoms and does not prevent the associated pathological manifestations. The patients need lifelong therapy and intensive research is being carried out to identify ways to eliminate autoimmune responses directed against pancreatic beta cells and to replace or regenerate beta cells. The work presented herein aimed at analyzing the role of the Th17 T cell subset, characterized by secretion of the pro- inflammatory cytokine IL-17A, in autoimmune diabetes and also at generating a beta cell reporter mouse line in the NOD background, the most widely- used mouse model for type 1 diabetes. We generated IL- 17A knockdown (KD) NOD mice, using RNAi in combination with lentiviral transgenesis. We analyzed diabetes frequency in IL-17A deficient mice and found that the loss of IL-17A did not protect the transgenic mice from diabetes. Based on these observations, we believe that Th17 cells do not play a critical role in type 1 diabetes through the IL-17A pathway, though they might still be involved in the disease process through alternate pathways. We also generated NOD and NOD-SCID mice with a transgene that drives the beta cell specific expression of a luciferase reporter gene. We used a lentiviral construct, which combined a luciferase sequence and a short- hairpin RNA (shRNA) expression cassette, allowing gene- knockdown under the beta cell specific rat insulin promoter (RIP). These mice will be of use in studying beta cell phenotypes resulting from the knockdown of target genes, using non- invasive bioimaging. We believe that the generation of these reporter mouse lines for diabetes studies will prove valuable in future investigations. Furthermore, the demonstration that the loss of IL-17A does not alter susceptibility to type 1 diabetes should help clarify the controversial involvement of Th17 cells in this disease.
Cross-striated muscles enable higher animals to perform directed movements and to create mechanical force. The cells of heart and skeletal muscles consist of myofibrils, serial arrays of the smallest contractile subunits, the sarcomeres. Main components of the sarcomeres are the thin and thick filaments, large protein assemblies consisting of mainly actin (thin filaments) and myosin (thick filaments), whose energy-dependent interaction is responsible for the contraction of sarcomeres and so of the whole muscle. The thin filaments are anchored in the sarcomere bordering Z-discs, while the thick filaments are anchored in the M-bands, traverse structures in the sarcomere center. Electron-microscopic studies revealed that the M-bands consist of regular, lattice-like structures that appear to cross-link the thick filaments. A number of proteins could be identified by immune-fluorescence and biochemical binding studies to be present and interact with each other in the M-bands. These data have been integrated into preliminary models of the M-bands. Detailed knowledge of how these proteins interact with each other in the center of the sarcomeres is, however, largely missing. The current study focuses on the structural characterization of the interactions between the titin, myomesin-1, obscurin and obscurin-like 1 (OBSL1), modular filamentous proteins interacting with each other in the M-bands. The high-resolution crystal structure of the titin M10 – OBSL1 Ig1 complex was solved. The structure and additional biophysical data show that titin and OBSL1 as well as titin and obscurin form stable binary complexes through the formation of a small intermolecular ß-sheet. In contrast to previously characterized intermolecular assemblies of sarcomeric proteins, this sheet is formed between parallel non- homologous ß-strands of the interaction partners. The investigation of disease-related variants of the M10 domain by biophysical methods did not allow to draw unambiguous conclusions on a direct connection between impaired OBSL1/obscurin binding and disease development. Two out of four known M10 variants have effects on the correct domain folding and so interfere with the ability to bind obscurin/OBSL1. The two other known variants displayed however only minor effects on fold and binding affinities. It should therefore be further elucidated whether a direct connection between impaired complex formation and disease development exists. -I- Abstract A direct interaction between titin and myomesin-1 could not be confirmed in vitro. Possible explanations for the different results are discussed. While the consequences of the inability of both proteins to interact are unclear, the further characterization of the putative interacting parts of titin and myomesin-1 led to the discovery of two new potential sites of self-assembly on M-band titin and myomesin-1. The crystal structure of titin M4 showed that this domain can form dimeric assemblies through the formation of a disulfide bridge and an intermolecular metal binding site between residues that are unique to this domain. On myomesin-1, in addition to the described C-terminal interaction site, a potential second site of self-assembly was found in its central Fn3-domain segment. The interacting site was mapped to the predicted Fn3 domain My5. The crystal structure of the domain in its dimeric form showed that the interaction is mediated by a mechanism that has previously not been observed in sarcomeric proteins. Two My5 interact with each other by the mutual exchange of an N-terminal ß-strand which complements the Fn3 fold on the binding partner. This type of interaction can be interpreted as misfolding. However, the position of the interacting domain and its mode of interaction allowed the postulation of a model of how myomesin-1 could be integrated in the M-bands. This model is in good agreement with the electron-microscopic appearance of the M-bands.
Structural and functional modifications of synaptic connections (“synaptic plasticity”) are believed to mediate learning and memory processes. Thus, molecular mechanisms of how synapses assemble in both structural and functional terms are relevant for our understanding of neuronal development as well as the processes of learning and memory. Synapses form by an asymmetric association of highly specialized membrane domains: at the presynaptic active zone transmitter filled vesicles fuse, while transmitter receptors at the opposite postsynaptic density sense this signal. By genetic analysis, matrix proteins of active zones from various families have been shown to be important for fast vesicle fusion, and were suggested to contribute to synapse stability and assembly. The Sigrist lab in collaboration with the Buchner lab previously had shown that the large scaffold protein Bruchpilot (Brp) is essential for both the structural and functional integrity of active zones and for synaptic plasticity in Drosophila melanogaster. The work described in this thesis investigated several candidate proteins which appear to be involved in preand postsynaptic function, as summarized in the following: (1) DREP-2 (DEF45 related protein-2) had been found by co-immunoprecipitations with anti-Brp antibodies by Dr. Manuela Schmidt (unpublished data). Mutants and antibodies for the further study of DREP- 2 were generated in this thesis. Yeast two hybrid results suggest that DREP-2 might interact with dynein light chain 2, while in vivo imaging indicates that DREP-2 might be involved in bidirectional axonal transport. (2) Coimmunoprecipitation and pull down experiments suggested that the ARFGAP [ADP-ribosylation factor (ARF)-directed GTPase activating protein (GAP)] protein GIT (G-protein coupled receptor kinase interacting protein) could interact with the endocytosis associated molecule Stoned B (StnB). Mutants in the dgit gene showed an accumulation of large size vesicles, membrane intermediates and decreased vesicle density at the 3rd instar larval neuromuscular junction (NMJ) by electron microscopy (EM). The phenotypes accumulation of large size vesicles and membrane intermediates could be rescued partially by expression of Drosophila GIT (DGIT) or human GIT in dgit mutant background. Furthermore, by immunofluorescence the dgit mutant shows specifically decreased levels of StnB, which could be restored partially by the expression of DGIT. These results strongly support the suggestion that DGIT interacts with StnB, which is involved in the regulation of vesicle size, endocytosis or recycling of synaptic vesicles (SVs). Furthermore, the dgit mutants also showed signs of a mislocalization of the presynaptic protein Brp relative to the postsynaptic protein GluRIID, which could be rescued by expression of DGIT or human GIT in the dgit mutant background, but not by StnB. These results suggest that GIT on one hand executes roles in the regulation of synaptic vesicle endocytosis, but potentially also has structural roles for synapse assembly (3) Djm-1 is a candidate locus to mediate mental retardation in human patients when it is mutated. As a first step towards an understanding of the mechanistic role of DJM-1, Drosophila genetics were used to address DJM-1 function. So far, however, the djm-1 mutant generated in this thesis did not show a nervous system phenotype.
XPD is a 5‘-3‘ helicase of the superfamily 2. As part of the transcription factor IIH it functions in transcription initiation and nucleotide excision repair. This work focus on the role of XPD in nucleotide excision repair. NER is a DNA repair pathway unique for its broad substrate range. In placental mammals NER is the only repair mechanism able to remove lesions induced by UV-light. NER can be divided into four different steps that are conserved between pro- and eukaryotes. Step 1 consists of the initial damage recognition, during step 2 the putative damage is verified, in step 3 the verified damage is excised and in the 4th and final step the resulting gap in the DNA is refilled. XPD was shown to be involved in the damage verification step. It was possible to solve the first apo XPD structure by a MAD approach using only the endogenous iron from the iron sulfur cluster. Based on the apo XPD structure several questions arise: where is DNA bound? Where is DNA separated? How is damage verification achieved? What is the role of the FeS cluster? These questions were addressed in this work. Hypothesis driven structure based functional mutagenesis was employed and combined with detailed biochemical characterization of the variants. The variants were analyzed by thermal unfolding studies to exclude the possibility that the overall stability could be affected by the point mutation. DNA binding assays, ATPase assays and helicase assays were performed to delineate amino acid residues important for DNA binding, helicase activity and damage recognition. A structure of XPD containing a four base pair DNA fragment was solved by molecular replacement. This structure displays the polarity of the translocated strand with respect to the helicase framework. Moreover the properties of the FeS cluster were studied by electron paramagnetic resonance to get insights into the role of the FeS cluster. Furthermore XPD from Ferroplasma acidarmanus was investigated since it was shown that it is stalled at CPD containing lesions. The data provide the first detailed insight into the translocation mechanism of a SF2B helicase and reveal how polarity is achieved. This provides a basis for further anlayses understanding the combined action of the helicase and the 4Fe4S cluster to accomplish damage verification within the NER cascade.
The contribution of the present thesis consists of three parts. They are centered around investigating certain semiconductor heterointerfaces relevant to spin injection, exploring novel, diluted magnetic single barrier tunneling structures, and further developing diluted magnetic II-VI resonant tunneling diodes.
The present study concerned mainly on the source, facies, and sedimentary environments of the Middle to Upper Jurassic strata in the Kerman and Tabas areas, east-central Iran. The composition of sandstones, and heavy mineral analysis point to pre-existing sedimentary, low, middle to upper rank metamorphic, and plutonic rocks of the Kalmard, Posht-e-Badam, Bayazeh, and Zarand-Kerman areas as the source rocks. According to the diagram of WELTJE et al. (1998), most samples from the Middle-Upper Jurassic rocks suggest a moderate to high elevation of the source area, and indicate a semi-arid and mediterranean to sub-humid climate. In the Qt-F-L ternary diagrams of DICKINSON et al. (1983), most point counting data from the Lower Siliciclastic Member and the top of the Hojedk Formation plot in the recycled orogen (Quartzose recycled) area of the diagram. The sandstones in this area can be interpreted as being derived from the Mid-Cimmerian Movements. Sixteen different types of siliciclastic-carbonate, and evaporatic sedimentary environments have been recognized. Thirty-nine macroinvertebrate taxa have been identified. Ten ichnotaxa have been taxonomically described from the Middle to Upper Jurassic rocks. Quite likely, before rotation of CEIM which were associated with counterclockwise block-rotation, equivalent rocks of the Bidou Formation occurred along the tectonic zone between the Yazd and the Tabas blocks (probably during the Middle Jurassic to Lower Cretaceous). However, from the Cretaceous onwards, most of the Bidou Formation has been removed by a combination of strike-slip and reverse movements of the Kashmar-Kerman tectonic zone. Roughly, these block-rotation movements occurred after the Cretaceous. During the Middle to Upper Jurassic, the tectonic activities were vertical movements producing the sedimentary pattern in the CEIM.
Single-molecule microscopy is one of the decisive methodologies that allows one to clarify cellular signaling in both spatial and temporal dimentions by tracking with nanometer precision the diffusion of individual microscopic particles coupled to relevant biological molecules. Trajectory analysis not only enables determination of the mechanisms that drive and constrain the particles motion but also to reveal crucial information about the molecule interaction, mobility, stoichiometry, all existing subpopulations and unique functions of particular molecules. Efficacy of this technique depends on two problematic issues the usage of the proper fluorophore and the type of biochemical attachment of the fluorophore to a biomolecule. The goal of this study was to evolve a highly specific labeling method suitable for single molecule tracking, internalization and trafficking studies that would attain a calculable 1:1 fluorophore-to-receptor stoichiometry. A covalent attachment of quantum dots to transmembrane receptors was successfully achieved with a techinque that amalgamates acyl carrier protein (ACP) system as a comparatively small linker and coenzyme A (CoA)-functionalized quantum dots. The necessity of optimization of the quantum dot usage for more precise calculation of the membrane protein stoichiometries in larger assemblies led to the further study in which methods maximizing the number of signals and the tracking times of diverse QD types were examined. Next, the optimized techniques were applied to analyze behavior of interleukin-5 β-common chain receptor (IL-5Rβc) receptors that are endogenously expressed at low level on living differentiated eosinophil-like HL-60 cells. Obtained data disclosed that perused receptors form stable and higher order oligomers. Additionally, the mobility analysis based on increased in number (>10%) uninterrupted 1000-step trajectories revealed two patterns of confined motion. Thereupon methods were developed that allow both, determination of stoichiometries of cell surface protein complexes and the acquisition of long trajectories for mobility analysis. Sequentially, the aforementioned methods were used to scrutinize on the mobility, internalization and recycling dynamics characterization of a G protein-coupled receptor (GPCRs), the parathyroid hormone receptor (PTHR1) and several bone morphogenetic proteins (BMPs), a member of the TGF-beta superfamily of receptors. These receptors are two important representatives of two varied membrane receptor classes. BMPs activate SMAD- and non-SMAD pathways and as members of the transforming growth factor β (TGF-β) superfamily are entailed in the regulation of proliferation, differentiation, chemotaxis, and apoptosis. For effective ligand induced and ligand independent signaling, two types of transmembrane serine/threonine kinases, BMP type I and type II receptors (BMPRI and BMPRII, respectively) are engaged. Apparently, the lateral mobility profiles of BMPRI and BMPRII receptors differ markedly, which determinate specificity of the signal. Non-SMAD signaling and subsequent osteoblastic differentiation of precursor cells particularly necessitate the confinement of the BMP type I receptor, resulting in the conclusion that receptor lateral mobility is a dominative mechanism to modulate SMAD versus non-SMAD signaling during differentiation. Confined motion was also predominantly observed in the studies devoted to, entailed in the regulation of calcium homeostasis and in bone remodeling, the parathyroid hormone receptor (PTHR1), in which stimulation with five peptide ligands, specific fragments of PTH: hPTH(1–34), hPTHrP(107–111)NH2; PTH(1–14); PTH(1–28) G1R19, bPTH(3–34), first four belonging to PTH agonist group and the last to the antagonist one, were tested in the wide concentration range on living COS-1 and AD293 cells. Next to the mobility, defining the internalization and recycling rates of the PTHR1 receptor maintained in this investigation one of the crucial questions. Internalization, in general, allows to diminish the magnitude of the receptor-mediated G protein signals (desensitization), receptor resensitization via recycling, degradation (down-regulation), and coupling to other signaling pathways (e.g. MAP kinases). Determinants of the internalization process are one of the most addressed in recent studies as key factors for clearer understanding of the process and linking it with biological responses evoked by the signal transduction. The internalization of the PTH-receptor complex occurs via the clathrin-coated pit pathway involving β-arrestin2 and is initiated through the agonist occupancy of the PTHR1 leading to activation of adenylyl cyclase (via Gs), and phosphatidylinositol-specific phospholipase Cβ (via Gq). Taken together, this work embodies complex study of the interleukin-5 β-common chain receptor (IL-5Rβc) receptors, bone morphogenetic proteins (BMPs) and the parathyroid hormone receptor with the application of single-molecule microscopy with the newly attained ACP-quantum dot labeling method and standard techniques.
The Nuclear Factors of Activated T cells (NFATs) are critical transcription factors playing major roles in the control of the cell cycle, apoptosis and, probably, also cancerogenesis. Of all the four genuine NFATc family members, NFATc1 has the unique induction property which appears to be essential for T and B cell development, along with its considerable role in cytokine gene expression and function in non-lymphoid tissues and during organ development (such as in the development of muscle and heart cells). A number of studies have proved the potential role of NFATc1 protein in development of lymphomas and leukemias and provided evidence of differential expression of the same gene in different tumours (Suppression in classical Hodgkin lymphomas but overexpression in T-ALLs). Although the most commonly accepted pathway is the dephosphorylation of NFAT by calcineurin upon a rise in intracellular Ca++ leading to nuclear translocation followed by transcription of Il2 gene and related cytokines, it is quite possible that signaling mechanisms other than (or in addition to) calcineurin activation lead to NFATc1 induction as well. One of the major isoforms of NFATc1, NFATc1/αA, is the short inducible factor, produced upon full T and B cell activation. Here we used two different conditional knock-out mice as our study model. Inactivation of the murine Nfatc1 gene in bone marrow (of Cd79a/mb-1-cre x Nfatc1flx/flx mice) and spleen (of Cd23-cre x Nfatc1flx/flx mice) resulted in complete ablation of NFATc1 expression in splenic B cells. Although no severe developmental defects were found for the generation of ‘conventional’ B2 cells, NFATc1 inactivation in bone marrow B-cells led to a strong decrease in the peritoneal B1a cell population. In-vitro studies showed a clear-cut decrease in proliferation and an increase in Activation Induced Cell Death (AICD) of NFATc1-/- splenic B cells upon BCR stimulation. While NFATc1 appears to control directly the AICD of peripheral B cells, further studies revealed an effect of NFATc1 on proliferation by a sustained differentiation program controlling Ca++ flux and calcineurin activity which are needed to maintain transcription and proliferation of primary B cells. Re-expression of NFATc1 at a low dose could protect cells against AICD, whereas at a higher dose it initiated AICD. These data suggest an important dual role of NFATc1 in controlling proliferation and apoptosis of peripheral B lymphocytes. NFATc1 ablation also impaired the Ig class switch to IgG3 by T cell-independent (TI) type II antigens and impaired IgG3+ plasmablast formation when studied in-vivo by NP-Ficoll immunization or in-vitro using an in-vitro class-switch model. Contrary to the immunizations with TI-type II antigen, no significant differences were documented in Ig class switch upon immunization with NP-KLH, a T-cell dependent (TD) antigen. Taken together, the data indicate NFATc1/αA as a crucial player in the activation and function of splenic B cells upon BCR stimulation. Missing or incomplete NFATc1/αA induction appears to be one reason for the generation of B cell unresponsiveness, whereas uncontrolled NFATc1/αA expression could lead to unbalanced immune reactions and autoimmune diseases.
Cell adhesion and migration are essential for development and homeostasis. Adhesion to the extracellular matrix occurs at specialized plasma membrane domains where transmembrane adhesion receptors, signaling proteins such as kinases and phosphatases, and a large number of adaptor proteins interact with the cytoskeleton in a tightly regulated and synchronized fashion. Whereas altered cell adhesion and migration are known to be important in cardiovascular disease and malignant tumors, the target proteins and molecular interactions that regulate these complex processes still remain incompletely understood. Whereas numerous kinases are known to regulate cell adhesion dynamics, information about the involved protein phosphatases is still very limited. A newly emerging phosphatase family contains the unconventional active site sequence DXDX(T/V) and belongs to the haloacid dehalogenase (HAD) superfamily of hydrolases. Our laboratory has recently discovered AUM, a novel phosphatase that belongs to this poorly characterized enzyme family. Initial findings pointed toward a potential involvement of AUM in the regulation of cell adhesion to the extracellular matrix. The objective of the present study was to study the potential role of AUM in cell adhesion. We could show that cells stably depleted of AUM are characterized by accelerated adhesion on immobilized fibronectin. To confirm these findings, we used an siRNA-based approach for the acute depletion of AUM and observed a similar phenomenon. Rescue experiments were performed with stably AUM-depleted cells to ensure that the above mentioned effects are indeed AUM specific. We observed that the re-addition of AUM normalizes cellular adhesion kinetics on fibronectin. These results clearly show that AUM exerts important functions in cell-matrix adhesion. To investigate the molecular basis of these effects, we have characterized integrin expression patterns using flow cytometry. Interestingly, fibronectin-stimulated AUM-depleted cells are characterized by an increase in the cell surface expression of conformationally active 1-integrins. Consistent with the important role of 1-integrins in the regulation of RhoA activity, we also observed a specific increase in RhoA-GTP, but not Rac1-GTP-levels during cell adhesion to fibronectin. Consistent with these findings and with the important role of RhoA for focal adhesion maturation, AUM depleted cells showed more elongated and more centripetally oriented focal adhesions as compared to control cells when spread on fibronectin. Taken together, this study has revealed an important role of AUM for cell-matrix adhesion. Our findings strongly suggest that AUM functions as a negative regulator of 1-integrins and RhoA-dependent cytoskeletal dynamics during cell adhesion.
Growth factor induced signaling cascades are key regulatory elements in tissue development, maintenance and regeneration. Deregulation of the cascades has severe consequences, leading to developmental disorders and neoplastic diseases. As a major function in signal transduction, activating mutations in RAF family kinases are the cause of many human cancers. In the first project described in this thesis we focused on B-RAF V600E that has been identified as the most prevalent B-RAF mutant in human cancer. In order to address the oncogenic function of B-RAF V600E, we have generated transgenic mice expressing the activated oncogene specifically in lung alveolar epithelial type II cells. Constitutive expression of B-RAF V600E caused abnormalities in alveolar epithelium formation that led to airspace enlargements. These lung lesions showed signs of tissue remodeling and were often associated with chronic inflammation and low incidence of lung tumors. Inflammatory cell infiltration did not precede the formation of emphysema-like lesions but was rather accompanied with late tumor development. These data support a model where the continuous regenerative process initiated by oncogenic B-RAF-driven alveolar disruption provides a tumor-promoting environment associated with chronic inflammation. In the second project we focused on wild type B-RAF and its role in an oncogenic-C-RAF driven mouse lung tumor model. Toward this aim we have generated compound mice in which we could conditionally deplete B-RAF in oncogenic-C-RAF driven lung tumors. Conditional elimination of B-RAF did not block lung tumor formation however led to reduced tumor growth. The diminished tumor growth was not caused by increased cell death instead was a consequence of reduced cell proliferation. Moreover, B-RAF ablation caused a reduction in the amplitude of the mitogenic signalling cascade. These data indicate that in vivo B-RAF is dispensable for the oncogenic potential of active C-RAF; however it cooperates with oncogenic C-RAF in the activation of the mitogenic cascade.
Spontaneous neural activity has been shown to regulate crucial events in neurite growth including axonal branching and path finding. In animal models of spinal muscular atrophy (SMA) cultured embryonic mouse motoneurons show distinct defect in axon elongation and neural activity. This defect is governed by abnormal clustering of Ca2+ channels in the axonal regions and the protruding growth cone area. The mechanisms that regulate the opening of calcium channels in developing motoneurons are not yet clear. The question was addressed by blocking neural activity in embryonic cultured motoneurons by pharmacological inhibition of voltage-gated sodium channels (VGSC) by saxitoxin (STX) and tetrodotoxin (TTX). Low dosages of STX resulted in significant reduction of axon growth and neural activity in cultured motoneurons. This pharmacological treatment did not affect survival of motoneurons in comparison to control motoneurons that was grown in the presence of survival neurotrophic factors BDNF and CNTF. It was also found that STX was 10 times more potent than TTX a common inhibitor of VGSC with a reduced activity on the TTX-insensitive sodium channels NaV1.5, NaV1.8 and NaV1.9. Reverse Transcriptase-PCR experiments revealed the presence of NaV1.9 as the likely candidate that begins to express from embryonic stage sixteen in the mouse spinal cord. Immunolabelling experiments showed that the channel is expressed in the axonal compartments and axonal growth cones in cultured motoneurons. Suppression of NaV1.9 in cultured motoneurons by lentivirus mediated short hairpin-RNA (shRNA) resulted in shorter axon length in comparison with uninfected and scrambled constructs. Further, embryonic motoneurons cultured from NaV1.9 knockout mice also showed a significant reduction in neural activity and axon growth. The findings of this work highlight the role of NaV1.9 as an important contender in regulating activity dependent axon growth in embryonic cultured motoneurons. NaV1.9 could therefore be considered as a prospective molecule that could play an important role in regulating axon growth in motoneuron disease models like spinal muscular atrophy (SMA).
Isolated left ventricular non-compaction cardiomyopathy (LVNC) is a congenital myocardial disease characterized by excessive and prominent trabeculations in the left ventricle with deep intertrabecular recesses. Trabeculation is, however, a non specific finding which is present not only in LVNC but also in other cardiomyopathies like dilated cardiomyopathy (DCM) and even in healthy controls, therefore, differential diagnosis keeps puzzling clinicians. Therefore the present study aimed to comprehensively explore regional myocardial deformation properties in adult patients with isolated LVNC using strain and strain rate imaging derived from tissue Doppler imaging and 2D speckle tracking. It was proposed that the knowledge of deformation properties in LVNC would help to differentiate patients with LVNC and DCM. A total of 14 patients with LVNC, 15 patients with DCM, and 15 healthy controls were included in this study. The groups were matched for age and gender. Standard 2D echocardiography was performed in all subjects, and tissue Doppler imaging (TDI) of all ventricular walls was acquired using parasternal long axis, apical 4-chamber, 2-chamber, and apical long axis views. Deformation imaging data derived from both TDI and grey scale images were analyzed. Clinical and standard echocardiographic findings in patients with LVNC and DCM were similar. In patients with LVNC, hypertrabeculation was mostly located in the apical and mid segments of the left ventricle and strikingly more than in patients with DCM. The extent of non-compaction was poorly related to global left ventricular systolic function (LVEF) as well as regional myocardial function assessed by strain rate imaging. Regional myocardial systolic deformation in patients with LVNC was significantly impaired in the left and right ventricles in both longitudinal and radial direction. There was a striking difference on longitudinal myocardial systolic function between LVNC and DCM patients, i.e., an increasing strain and strain rate gradient from apex to base in patients with LVNC, whereas patients with DCM displayed a homogeneously decreased strain and strain rate in all segments. Results derived from 2D speckle tracking method were consistent with those from TDI method. Analysis of myocardial mechanical asynchrony revealed a lack of myocardial contraction synchrony in the LVNC and DCM patients. The time to systolic peak velocity was obviously delayed in these two patient groups. However, the mechanical asynchrony features were similar in patients with LVNC and DCM and could not serve for differential diagnosis. In conclusion, LVNC and DCM are both cardiomyopathies presenting reduced regional myocardial function and mechanical asynchrony. Nevertheless differential diagnosis can be made by analysis of hypertrabeculation as well as analysis of regional myocardial deformation pattern.
The delicate anatomical structures involved in infant cry production require intricate neurophysiological control especially in premature infants or those with a reduced respiratory or laryngeal function. Certain features like phonatory noise or subharmonics can be observed in infant cries using spectrograms. These features have a certain indicative valence for characterising the maturation stage of vocal control or its performance. One possible cause of deviation in neurophysiological coordination during voice production is disturbed CNS mechanisms, finally the consequences of orofacial clefts. Another is the influence of a familiar disposition for speech development disorders. The present paper studied the latter two relationships. For the evaluation and interpretation of a noise index (= average value of the noise portion within a cry) in infant’s pre-speech utterances, we analysed 1423 voice-signals emitted during the first 15 weeks of life by 10 orofacial cleft infants (5 females and 5 males), comparing these with a control group. The control group B of healthy infants was subdivided into B1 (FH- infants with a negative family history of speech developmental disorders) and B2 (FH+ infants with a positive family history of speech developmental disorders). Infants born with orofacial clefts are substantially exposed to severe difficulties for speech and language acquisition. Coupled with a premature muscle network, cleft infants are deprived in various ways (vocal nasality, limited consonant repertetoire, backward articulation etc) and their coordination of respiration, phonation and articulation is limited from a very early age. From birth until about 2 months of age, an infant's cry is characterised by a tuning phase between respiration and phonation. After training the production of more complex cry melodies with different rhythms, infants begin at 3 - 4 months of age (Wermke et al., 2005) to tune their phonation and articulation. Successfully absolving these stages of development is presumably a prerequisite for later acquisition of inconspicuous speech and language competence. The development of articulation is based on the tuning of melodies produced in the larynx and resonant frequencies from the vocal tract (Kempf, 2008). For an objective evaluation of pre-speech development in healthy and sick infants, this study produced comparable data on the appearance of selected parameters in age-appropriate control groups. In order to examine the connection between these selected cry properties and the physiological condition in infants, we made comparisons to 2623 voice-signals from 10 FH+ infants and 3002 voice-signals from 10 FH- infants (all without orofacial clefts and age-appropriates). For interpretations of future results, we also analysed 2684 voice-signals from 4 infants in the control group B1 (FH-) taken at closer time intervals until the 20th week of life. This study showed that the appearance of noise-like elements (NI) in the vocalizations of orofacial cleft infants and FH+ infants were identical during the first 15 weeks of life. Also, we could show that in both these groups (A and B2) there was a delayed development in the average signal length (phonation time). Although cleft infants and FH+ infants differ from each other physiologically, our results may propose a common neurophysiological retardation. Comparing prosodic elements in cries from FH+ and FH- infants showed differences (Blohm, 2007; Denner, 2007). Therefore, future research could apply this knowledge to a larger sample of infants in order to establish a better therapy concept, thus preventing late interventions. Infants from our control group B1 (FH-) met our expectations because when they got older, a development in their pre-speech capability was noticed. Our results support the hypothesis that in cry research, physiological differences (orofacial clefts or a family history for speech development disorders) in infants may encourage the appearance of noise-like elements in their vocalisations. However we believe that a period of training enables the infants to reduce their mean NI. The production of more complex melodies with age was better managed by the FH- infants and they also produced longer cries. To avoid a developmental retardation in speech and learning capabilities, it may be necessary in future to make more compact studies considering many other parameters and making comparisons with age-appropriates. Further studies also have to correlate these findings while investigating the consequences of these maturation processes on sound production. Despite physiological differences in the three groups of infants, the noise index (NI) as applied in this study can be used as an objective parameter for daily clinical diagnosis during the first four months of life.
Currently, we observe a strong growth of services and applications, which use the Internet for data transport. However, the network requirements of these applications differ significantly. This makes network management difficult, since it complicated to separate network flows into application classes without inspecting application layer data. Network virtualization is a promising solution to this problem. It enables running different virtual network on the same physical substrate. Separating networks based on the service supported within allows controlling each network according to the specific needs of the application. The aim of such a network control is to optimize the user perceived quality as well as the cost efficiency of the data transport. Furthermore, network virtualization abstracts the network functionality from the underlying implementation and facilitates the split of the currently tightly integrated roles of Internet Service Provider and network owner. Additionally, network virtualization guarantees that different virtual networks run on the same physical substrate do not interfere with each other. This thesis discusses different aspects of the network virtualization topic. It is focused on how to manage and control a virtual network to guarantee the best Quality of Experience for the user. Therefore, a top-down approach is chosen. Starting with use cases of virtual networks, a possible architecture is derived and current implementation options based on hardware virtualization are explored. In the following, this thesis focuses on assessing the Quality of Experience perceived by the user and how it can be optimized on application layer. Furthermore, options for measuring and monitoring significant network parameters of virtual networks are considered.
The most important aim of restorative therapy in dentistry is to achieve a restoration that remains dense from bacteria and this way from tooth pulp irritation as well. Patients on the other hand appreciate and expect additionally good aesthetics. This way the decision which material the practitioner should chose very often still causes dilemmas. The aim of this 4 year long study was to evaluate the Admira filling material, that belongs to ormocer group and its future in the area of restorative dentistry. SEM analysis of fillings margins followed on epoxy resin casts (achieved from impressions taken at each of the control appointments) and showed that after four years of clinical observation more than 90 percent of the restoratives margins remained perfectly adapted. Due to technical reasons the examination followed only in the enamel area and as a result this study is not answering the question of margin quality within the dentin.
Physiological Role of Fatty Acid Desaturation in Agrobacterium-induced Arabidopsis Crown Galls
(2011)
Crown gall development is accompanied by hypoxia, drought and oxidative stress. These abiotic stress factors are known to have an impact on fatty acid (FA) desaturation. Thus, an alteration in the lipid profile of plant tumors was expected. A comprehensive lipid analysis of Arabidopsis thaliana crown galls induced by Agrobacterium tumefaciens showed an increase in the degree of FA desaturation. The poly unsaturated fatty acid (PUFA) linolenic acid (18:3) of endoplasmic reticulum (ER) derived phospholipids was especially affected. The increased levels of desaturated FAs were reflected by a strong induction of two genes encoding desaturases, FAD3 and SAD6. In contrast to FAD3, which encodes the ER membrane bound fatty acid desaturase enzyme that synthesizes 18:3 PUFAs in the ER, the function of SAD6 is unknown. The ability of SAD6 to complement the extreme dwarf growth phenotype of the ssi2-2 mutant allele suggests that SAD6 is a functional stearoyl-acyl-carrier-protein delta-9 desaturase (SAD) which catalyzes the first step in FA desaturation and forms stearic acid (18:1). Overexpression of the SAD6 gene in Arabidopsis (SAD6-OE) to a similar degree as in tumors resulted in a light-dependent chlorosis phenotype and caused a similar shift in the lipid profile towards unsaturated phospholipids. Posttranscriptional down-regulation of SAD6 overexpression by RNA reverted the chlorosis phenotype and the changes in the lipid profile, showing that SAD6 overexpression forms the unsaturated FA profile and the phenotype in SAD6-OE. The subcellular localization of the SAD6 protein in chloroplasts, which is obligatory for SAD function was demonstrated. SSI2, which encodes the major contributor to the 18:1 FA levels in Arabidopsis is down-regulated in crown galls pointing to a replacement of SSI2 function by SAD6 in the tumor. SAD6 transcripts were almost undetectable in Arabidopsis under normal growth condition, whereas under hypoxia the gene was strongly activated. In the tumor hypoxia most likely caused the very high transcription of SAD6. Hypoxia is known to limit FA desaturation and it is associated with an elevated reactive oxygen species (ROS) production which is detrimental for unsaturated FAs. Thus, up-regulation of SAD6 in the crown gall, most likely serves as an adaptive mechanism to activate desaturation under low oxygen concentrations and to maintain the levels of unsaturated FA under oxidative stress. The ER localized FAD3 most likely is responsible for the rise in 18:3 of the phospholipid class to cope with drought stress in crown galls. This hypothesis was supported by the loss of function mutant, fad3-2, which developed significantly smaller tumors as the wild type under low relative humidity.Taken together, this study suggests that the induction of SAD6 and FAD3 shapes the tumor lipid profile by increasing the levels of unsaturated FAs. Unsaturated fatty acids prepare the crown gall to cope with ongoing hypoxia, drought and oxidative stress during growth and development.
n this work the synthesis and analysis of chromophore functionalized spherical gold nanoparticles is presented. The optical, electrochemical and spectroelectrochemical properties of these hybrid materials are furthermore studied. The work therefore is divided into two parts. The first part deals with triarylamine and PCTM-radical functionalized gold nanoparticles. The focus thereby was on the synthesis and on the investigations of chromophore-chromophore interactions and gold core-chromophore interactions. The chromopores, especially triarylamines, were attached to the gold core via different bridging units and were studied with optical and electrochemical methods. The purity and dimensions of the nanoparticles was determined by 1H-NMR spectroscopy, diffusion ordered NMR spectroscopy (DOSY), TGA, XPS and STEM. Furthermore a cyclic voltammetry technique was used to determine the composition of the particles via the Randles-Sevcik equation. An analysis of these parameters led to a model of a sea urchin-shaped nanoparticle. Optical measurements of the particles revealed an anisotropic absorption behavior of the triarylamine units due to gold core-chromophore interaction. However this behavior depends strongly on the relative orientation of the transition dipole moment of the chromophore to the gold surface and the distance of the chromophore to the surface. Hence, the anisotropic behavior was exclusively detected in the spectra of the Au-Tara1 particles. The short and rigid pi-conjugated bridging unit thereby facilitates this gold core-chromophore interaction. It was shown from electrochemical investigations that the triarylamine units can be chemically reversibly oxidized to the triarylamine monoradical cation. Furthermore, the measurements revealed a strong interligand triarylamine-triarylamine interaction which was only seen for the Au-Tara1 particles. The long pi-conjugated bridging units of the Au-Tara2 and Au-Tara3 particles as well as the aliphatic bridging unit of Au-Tara4 prevent any detectable interligand interactions. One may conclude that both the gold core-chromophore and the interligand triarylamine-triarylamine interaction depend on the length and the rigidity of the bridging unit. The electron transfer behavior of the triarylamine units adsorbed onto the gold core was additionally studied via spectroelectrochemical (SEC) measurements which are able to reveal weaker interactions. The investigations of Au-Tara1 and Au-Tara2 revealed a significant strong coupling between neighboring triarylamine units which is due to through-space intervalence interactions. This behavior was not detected for Au-Tara3 or for Au-Tara4. The SEC analysis also revealed that these observed interligand interactions depend on the length and the rigidity of the bridging unit. Thus, the systematic variation of the bridging unit gave a basic insight in the optical and electrochemical properties of triarylamines, located in the vicinity of a gold nanoparticle. The second part of this work aimed at the synthesis of new molecules, denoted as SERS-markers, for immuno SERS applications. For this purpose, the SERS-markers were designed to have a Raman-active unit and a thiol group for chemisorptions to Au/Ag nanoshells. In cooperation with the group of Schlücker (University of Osnabrück) the SERS-markers were absorbed onto Au/Ag nanoshells, denoted as SERS-labels, and characterized. The SERS spectra of the SERS-labels exhibited intense and characteristic SERS-signals for each marker. For immuno SERS investigations SEMA3 was functionalized with a hydrophilic end unit. This marker was adsorbed onto an Au/Ag nanoshell and encapsulated with silica. An anti-p63 antibody was bound to the silica surface in order to generate a SERS-labeled antibody for the detection of the tumor suppressor p63 in benign prostate. Immuno-SERS imaging of prostate tissue incubated with SERS-labeled anti-p63 antibodies demonstrated the selective detection of p63 in the basal epithelium. The results show the potential of the method for the detection of several biomolecules in a multiplexing SERS experiment.
We consider the prospects for a neutrino factory measuring mixing angles, the CP violating phase and mass-squared differences by detecting wrong-charge muons arising from the chain $\mu^+\to\nu_e\to\nu_\mu\to\mu^-$ and the right-charge muons coming from the chain $\mu^+\to\bar{\nu}_\mu\to\bar{\nu}_\mu\to\mu^+$ (similar to $\mu^-$ chains), where $\nu_e\to\nu_\mu$ and $\bar{\nu}_\mu\to\bar{\nu}_\mu$ are neutrino oscillation channels through a long baseline. First, we study physics with near detectors and consider the treatment of systematic errors including cross section errors, flux errors, and background uncertainties. We illustrate for which measurements near detectors are required, discuss how many are needed, and what the role of the flux monitoring is. We demonstrate that near detectors are mandatory for the leading atmospheric parameter measurements if the neutrino factory has only one baseline, whereas systematic errors partially cancel if the neutrino factory complex includes the magic baseline. Second, we perform the baseline and energy optimization of the neutrino factory including the latest simulation results from the magnetized iron neutrino detector (MIND). We also consider the impact of $\tau$ decays, generated by appearance channels $\nu_\mu \rightarrow \nu_\tau$ and $\nu_e \rightarrow \nu_\tau$, on the discovery reaches of the mass orderings, the leptonic CP violation, and the non-zero $\theta_{13}$, which we find to be negligible for the considered detector. Third, we make a comparison of a high energy neutrino factory to a low energy neutrino factory and find that they are just two versions of the same experiment optimized for different regions of the parameter space. In addition, we briefly comment on whether it is useful to build the bi-magic baseline at the low energy neutrino factory. Finally, the effects of one additional massive sterile neutrino are discussed in the context of a combined short and long baseline setup. It is found that near detectors can provide the required sensitivity at the LSND-motivated $\Delta m_{41}^2$-range, while some sensitivity can also be obtained in the region of the atmospheric mass splitting introduced by the sterile neutrino from the long baselines.
When there is an imbalance between reactive oxygen species (ROS) and endogenous antioxidants (glutathione (GSH), superoxide dismutase (SOD), catalase etc.) the oxidative stress is increased and results in the oxidation of lipids, proteins and DNA. Although oxidation of lipids and proteins may also accumulates with age, only DNA oxidation leads to altered genomic information. As one pathway for increased ROS production, many endogenous and exogenous substances activate NADPH oxidase (NOX) enzyme and produce ROS. p47phox is a cytosolic organizer protein which plays an important role in NOX activation. Angiotensin II (Ang II) is an example for an endogenous compound which causes ROS through NOX activation. Rosuvastatin is an example for a drug with antioxidative capacity (upregulation of endogenous antioxidants). It is a lipid lowering drug which also reduces an elevated level of angiotensin II type 1 receptor (AT1R). Commonly, oxidative stress is elevated in ageing and age related diseases (eg. Parkinson’s disease (PD)). The aim of the present study was to investigate the role of NOX derived ROS induced oxidative DNA damage and the influence of ROS in ageing and age related diseases, using different in vitro and in vivo models.
On the Fragility Index
(2011)
The Fragility Index captures the amount of risk in a stochastic system of arbitrary dimension. Its main mathematical tool is the asymptotic distribution of exceedance counts within the system which can be derived by use of multivariate extreme value theory. Thereby the basic assumption is that data comes from a distribution which lies in the domain of attraction of a multivariate extreme value distribution. The Fragility Index itself and its extension can serve as a quantitative measure for tail dependence in arbitrary dimensions. It is linked to the well known extremal index for stochastic processes as well the extremal coefficient of an extreme value distribution.
The present work presents investigations on energy and charge transport properties in organic crystals. Chapter 4 treats exciton transport in anthracene, which is an example for weakly coupled π-systems. The electronic coupling parameter is evaluated by the monomer transition density approach. With these and the reorganization energy hopping rates are calculated in the framework of the Marcus theory. Together with the knowledge of the crystal structure, these allow us to calculate the experimental accessible exciton diffusion lengths, whose isotropic part fits nicely within the scattering of experimental values found in the literature. Furthermore, the anisotropy of the exciton diffusion lengths is reproduced qualitatively and quantitatively correct. This chapter also contains studies about electron and hole transport in both polymorphs (α and β) of perylene. Reorganization energies as well as diffusion coefficients for both crystal structures and types of charge transport were calculated. The best transport is hole transport in β-perylene, but it is strongly isotropic. The preferred transport direction is along the b-axis of the unit cell with couplings of greater than 100 meV. However, there is no transport along the c-axis. The diffusion constant in b-direction is bigger by two orders of magnitude than in c-direction (62.7•10-6 m2/s vs. 0.4•10-6 m2/s). Charge transport is calculated to be strongly anisotropic for holes as well as electrons in both modifications. To verify these results experimental electron mobilities have been compared to the simulations. Good agreement was found with errors of less than 27%. As it was shown above, the calculation and measurement of transport properties between weakly coupled systems is possible. However, it is difficult to exactly determine the quality of the electronic coupling. For this reason a collaboration about strongly interacting π-systems was started between us and the research group of Prof. Ingo Fischer. There, [2.2]paracyclophanes and its derivates were investigated to show how hydroxyl substitution influences absorption properties. Overall, a combination of SCS-MP2 and SCS-CC2 performs best to address the description of geometric and electronic structures for both ground and excited states of these model systems as well as their parent compounds benzene and phenol. Only [2.2]paracyclophane shows a double minimum potential regarding a twist and shift motion between the benzene/phenol subunits towards each other. All other systems are less flexible due to their substitution pattern. Almost all [2.2]paracyclophanes display minor changes in their geometric structure upon excitation to the S1 state: The inter-ring distance shortens, but qualitatively they keep their shift and twist characteristics, although the extent of these deformations diminishes. The exception is p-DHPC, which turns from a shifted ground state structure into a twisted excited state structure. Consequently, the intensity of the 0-0 transition cannot be observed experimentally due to small Franck-Condon factors and impurities of o-DHPC. In the present thesis, the structures and their changes due to excitation are explained by electrostatic potentials as well as antibonding (bonding) HOMO (LUMO) orbitals. Adiabatic excitation energies have been corrected by ZPEs and result in accuracies with errors smaller than 0.1 eV. Note that corrections on the B3LYP level worsen the results and one has to apply SCS-CC2 to achieve this accuracy. These calculations allow an interpretation of the experimental [1+1]REMPI spectra. Band progressions of the twist, shift and breathing of the [2.2]paracyclophane skeleton vibrations have been identified and show good agreement to the experiment. This work shows that the substitution pattern in [2.2]paracyclophanes can have a significant impact on spectroscopic properties. Because these properties are directly linked to the transport properties of these materials, the hereby gained insight can be used to design materials with customized transport properties. It was shown that the SCS-CC2 method is very appropriate to predict the interaction between the π-systems
This thesis investigated the potential of Compressed Sensing (CS) applied to Magnetic Resonance Imaging (MRI). CS is a novel image reconstruction method that emerged from the field of information theory. The framework of CS was first published in technical reports in 2004 by Candès and Donoho. Two years later, the theory of CS was published in a conference abstract and two papers. Candès and Donoho proved that it is possible, with overwhelming probability, to reconstruct a noise-free sparse signal from incomplete frequency samples (e.g., Fourier coefficients). Hereby, it is assumed a priori that the desired signal for reconstruction is sparse. A signal is considered “sparse“ when the number of non-zero elements is significantly smaller than the number of all elements. Sparsity is the most important foundation of CS. When an ideal noise-free signal with few non-zero elements is given, it should be understandably possible to obtain the relevant information from fewer Fourier coefficients than dictated by the Nyquist-Shannon criterion. The theory of CS is based on noise-free sparse signals. As soon as noise is introduced, no exact sparsity can be specified since all elements have signal intensities that are non-zero. However, with the addition of little or moderate noise, an approximate sparsity that can be exploited using the CS framework will still be given. The ability to reconstruct noisy undersampled sparse MRI data using CS has been extensively demonstrated. Although most MR datasets are not sparse in image space, they can be efficiently sparsified by a sparsifying transform. In this thesis, the data are either sparse in the image domain, after Discrete Gradient transformation, or after subtraction of a temporally averaged dataset from the data to be reconstructed (dynamic imaging). The aim of this thesis was to identify possible applications of CS to MRI. Two different algorithms were considered for reconstructing the undersampled sparse data with the CS concept. The Nonlinear Conjugate Gradient based technique with a relaxed data consistency constraint as suggested by Lustig et al. is termed Relaxed DC method. An alternative represents the Gradient or Steepest Descent algorithm with strict data consistency and is, therefore, termed the Strict DC method. Chapter 3 presents simulations illustrating which of these two reconstruction algorithms is best suited to recover undersampled sparse MR datasets. The results lead to the decision for the Strict DC method as reconstruction technique in this thesis. After these simulations, different applications and extensions of CS are demonstrated. Chapter 4 shows how CS benefits spectroscopic 19F imaging at 7 T, allowing a significant reduction of measurement times during in vivo experiments. Furthermore, it allows highly resolved spectroscopic 3D imaging in acceptable measurement times for in vivo applications. Chapter 5 introduces an extension of the Strict DC method called CS-CC (CS on Combined Coils), which allows efficient processing of sparse undersampled multi-coil data. It takes advantage of a concept named “Joint Sparsity“, which exploits the fact that all channels of a coil array detect the same sparse object weighted with the coil sensitivity profiles. The practical use of this new algorithm is demonstrated in dynamic radial cardiac imaging. Accurate reconstructions of cardiac motion in free breathing without ECG triggering were obtained for high undersampling factors. An Iterative GRAPPA algorithm is introduced in Chapter 6 that can recover undersampled data from arbitrary (Non-Cartesian) trajectories and works solely in the Cartesian plane. This characteristic makes the proposed Iterative GRAPPA computationally more efficient than SPIRiT. Iterative GRAPPA was developed in a preceding step to combine parallel imaging with CS. Optimal parameters for Iterative GRAPPA (e.g. number of iterations, GRAPPA kernel size) were determined in phantom experiments and verified by retrospectively undersampling and reconstructing a radial cardiac cine dataset. The synergistic combination of the coil-by-coil Strict DC CS method and Iterative GRAPPA called CS-GRAPPA is presented in Chapter 7. CS-GRAPPA allows accurate reconstruction of undersampled data from even higher acceleration factors than each individual method. It is a formulation equivalent to L1-SPIRiT but computationally more efficient. Additionally, a comparison with CS-CC is given. Interestingly, exploiting joint sparsity in CS-CC is slightly more efficient than the proposed CS-GRAPPA, a hybrid of parallel imaging and CS. The last chapter of this thesis concludes the findings presented in this dissertation. Future applications expected to benefit from CS are discussed and possible synergistic combinations with other existing MR methodologies for accelerated imaging are also contemplated.
In the following dissertation we consider three preconditioners of algebraic multigrid type, though they are defined for arbitrary prolongation and restriction operators, we consider them in more detail for the aggregation method. The strengthened Cauchy-Schwarz inequality and the resulting angle between the spaces will be our main interests. In this context we will introduce some modifications. For the problem of the one-dimensional convection we obtain perfect theoretical results. Although this is not the case for more complex problems, the numerical results we present will show that the modifications are also useful in these situation. Additionally, we will consider a symmetric problem in the energy norm and present a simple rule for algebraic aggregation.
The Nucleotide Excision Repair (NER) pathway is able to remove a vast diversity of structurally unrelated DNA lesions and is the only repair mechanism in humans responsible for the excision of UV induced DNA damages. The NER mechanism raises two fundamental questions: 1) How is DNA damage recognition achieved discriminating damaged from non damaged DNA? 2) How is DNA incision regulated preventing endonucleases to cleave DNA non specifically but induce and ensure dual incision of damaged DNA? Thus, the aim of this work was to investigate the mechanisms leading from recognition to incision of damaged DNA. To decipher the underlying process of damage recognition in a prokaryotic model system, the intention of the first part of this work was to co crystallize the helicase UvrB form Bacillus caldotenax together with a DNA substrate comprising a fluorescein adducted thymine as an NER substrate. Incision assays were performed to address the question whether UvrB in complex with the endonuclease UvrC is able to specifically incise damaged DNA employing DNA substrates with unpaired regions at different positions with respect to the DNA lesion. The results presented here indicate that the formation of a specific pre incision complex is independent of the damage sensor UvrA. The preference for 5’ bubble substrate suggests that UvrB is able to slide along the DNA favorably in a 5’ → 3’ direction until it directly encounters a DNA damage on the translocating strand to then recruit the endonuclease UvrC. In the second part of this work, the novel endonuclease Bax1 from Thermoplasma acidophilum was characterized. Due to its close association to archaeal XPB, a potential involvement of Bax1 in archaeal NER has been postulated. Bax1 was shown to be a Mg2+ dependent, structure specific endonuclease incising 3’ overhang substrates in the single stranded region close to the ssDNA/dsDNA junction. Site directed mutagenesis of conserved amino acids was employed to identify putative active site residues of Bax1. In complex with the helicase XPB, however, incision activity of Bax1 is altered regarding substrate specificity. The presence of two distinct XPB/Bax1 complexes with different endonuclease activities indicates that XPB regulates Bax1 incision activity providing insights into the physical and functional interactions of XPB and Bax1.
Thrombus formation at sites of vascular lesions is a dynamic process that requires a defined series of molecular events including the action of platelet adhesion/activation receptors, intracellular signal transduction, cytoskeletal rearrangements and activation of plasma coagulation factors. This process is essential to limit post-traumatic blood loss but may also contribute to acute thrombotic diseases such as myocardial infarction and stroke. With the help of genetically modified mice and the use of specific protein inhibitors and receptordepleting antibodies, the work presented in this thesis identified novel mechanisms underlying thrombus formation in hemostasis and thrombosis. In the first part of the study, it was shown that von Willebrand Factor (vWF) binding to glycoprotein (GP)Iba is critical for the formation of stable pathological thrombi at high shear rates, suggesting GPIba as an attractive pharmacological target for antithrombotic therapy. The subsequent analysis of recently generated phospholipase (PL)D1-deficient mice identified this enzyme, whose role in platelet function had been largely unknown, as a potential target protein downstream of GPIba. This was based on the finding that PLD1- deficient mice displayed severely defective GPIba-dependent thrombus stabilization under high shear conditions in vitro and in vivo without affecting normal hemostasis. The second part of the thesis characterizes the functional relevance of the immunoreceptor tyrosine-based activation motif (ITAM)-bearing collagen receptor GPVI and the recently identified hemITAM-coupled C-type lectin-like receptor 2 (CLEC-2) for in vivo thrombus formation. Genetic- and antibody-induced GPVI deficiency was found to similarly protect mice from arterial vessel occlusion in three different thrombosis models. These results confirmed GPVI as a promising antithrombotic target and revealed that antibody-treatment had no obvious off-target effects on platelet function. Similarly, immunodepletion of CLEC-2 by treating mice with the specific antibody INU1 resulted in markedly impaired thrombus growth and stabilization under flow in vitro and in vivo. Furthermore, it could be demonstrated that double-immunodepletion of GPVI and CLEC-2 resulted in severely decreased arterial thrombus formation accompanied by dramatically prolonged bleeding times. These data revealed an unexpected redundant function of the two receptors for in vivo thrombus formation and might have important implications for the potential development of anti-GPVI and anti-CLEC-2 antithrombotic agents. The third part of the thesis provides the first functional analysis of megakaryocyte- and platelet-specific RhoA knockout mice. RhoA-deficient mice displayed a defined signaling defect in platelet activation, leading to a profound protection from arterial thrombosis andand ischemic brain infarction, but at the same time also strongly increased bleeding times. These findings identified the GTPase as an important player for thrombus formation in hemostasis and thrombosis. Based on the previous proposal that the coagulation factor (F)XII might represent an ideal target for safe antithrombotic therapy without causing bleeding side effects, the last part of this thesis assesses the antithrombotic potential of the newly generated FXIIa inhibitor rHAInfestin- 4. It was found that rHA-Infestin-4 injection into mice resulted in virtually abolished arterial thrombus formation but no change in bleeding times. Moreover, rHA-Infestin-4 was similarly efficient in a murine model of ischemic stroke, suggesting that the inhibitor might be a promising agent for effective and safe therapy of cardio- and cerebrovascular diseases.
The voltage –gated calcium channel, Cav1.2, and the plasma membrane calcium ATPase, PMCA4b, play important roles in excitable and non-excitable cells. The central function of Cav1.2 is to regulate the calcium entry into cells upon depolarization, while PMCA4b is responsible for calcium extrusion and has an influence on cellular calcium homeostasis. Both proteins control fundamental functions in the heart and brain, but the specific functions and the precise mechanisms are still investigated. In order to identify new interaction partners that may regulate the activities of the Cav1.2 and the PMCA4b, we used three independent assays and co-localization studies. The assays, which were used are PDZ domain arrays (testing 124 different PDZ domains), GST pull-downs, and conventional immunoprecipitation assays. In the PDZ arrays, strongest interactions with Cav1.2 and PMCA4b were found for the PDZ domains of MAST-205, MAGI-1, MAGI-2, MAGI-3, and ZO-1. Additionally, we established interactions between Cav1.2 and the PDZ domains of NHERF1/2, Mint-2, and CASK. PMCA4b was observed to interact with Mint-2, and its interactions with Chapsyn-110 and CASK were confirmed. Furthermore, we validated interaction of Cav1.2 and PMCA4b with NHERF1, CASK, MAST-205 and MAGI-3 via immunoprecipitation. We also demonstrated direct interaction of the C-terminus of Cav1.2 and the PDZ domain of nNOS. We assumed that nNOS overexpression would reduce Ca2+ influx through Cav1.2. To address this question, we measured Ca2+ currents in stably transfected HEK 293 cells expressing the Cav1.2 (α1b and β2a subunit of the smooth muscle L-type calcium channel) and nNOS. It has been shown that NO modulates ion channel activity by nitrosylation of sulfhydryl groups on the channel protein. So we propose that the interaction between the C-terminus of Cav1.2 and the PDZ domain of nNOS inhibits the currents by an S-nitrosylation of the channel protein. All these interactions connect both proteins to signaling networks involved in signal transmission, cell adhesion, and apoptosis, which may help provide new hints about the physiological functions of Cav1.2 and PMCA4b in intra- and intercellular signaling.
Over the past decades, noncommutative geometry has grown into an established field in pure mathematics and theoretical physics. The discovery that noncommutative geometry emerges as a limit of quantum gravity and string theory has provided strong motivations to search for physics beyond the standard model of particle physics and also beyond Einstein's theory of general relativity within the realm of noncommutative geometries. A very fruitful approach in the latter direction is due to Julius Wess and his group, which combines deformation quantization (star-products) with quantum group methods. The resulting gravity theory does not only include noncommutative effects of spacetime, but it is also invariant under a deformed Hopf algebra of diffeomorphisms, generalizing the principle of general covariance to the noncommutative setting. The purpose of the first part of this thesis is to understand symmetry reduction in noncommutative gravity, which then allows us to find exact solutions of the noncommutative Einstein equations. These are important investigations in order to capture the physical content of such theories and to make contact to applications in e.g. noncommutative cosmology and black hole physics. We propose an extension of the usual symmetry reduction procedure, which is frequently applied to the construction of exact solutions of Einstein's field equations, to noncommutative gravity and show that this leads to preferred choices of noncommutative deformations of a given symmetric system. We classify in the case of abelian Drinfel'd twists all consistent deformations of spatially flat Friedmann-Robertson-Walker cosmologies and of the Schwarzschild black hole. The deformed symmetry structure allows us to obtain exact solutions of the noncommutative Einstein equations in many of our models, for which the noncommutative metric field coincides with the classical one. In the second part we focus on quantum field theory on noncommutative curved spacetimes. We develop a new formalism by combining methods from the algebraic approach to quantum field theory with noncommutative differential geometry. The result is an algebra of observables for scalar quantum field theories on a large class of noncommutative curved spacetimes. A precise relation to the algebra of observables of the corresponding undeformed quantum field theory is established. We focus on explicit examples of deformed wave operators and find that there can be noncommutative corrections even on the level of free field theories, which is not the case in the simplest example of the Moyal-Weyl deformed Minkowski spacetime. The convergent deformation of simple toy-models is investigated and it is shown that these quantum field theories have many new features compared to formal deformation quantization. In addition to the expected nonlocality, we obtain that the relation between the deformed and the undeformed quantum field theory is affected in a nontrivial way, leading to an improved behavior of the noncommutative quantum field theory at short distances, i.e. in the ultraviolet. In the third part we develop elements of a more powerful, albeit more abstract, mathematical approach to noncommutative gravity. The goal is to better understand global aspects of homomorphisms between and connections on noncommutative vector bundles, which are fundamental objects in the mathematical description of noncommutative gravity. We prove that all homomorphisms and connections of the deformed theory can be obtained by applying a quantization isomorphism to undeformed homomorphisms and connections. The extension of homomorphisms and connections to tensor products of modules is clarified, and as a consequence we are able to add tensor fields of arbitrary type to the noncommutative gravity theory of Wess et al. As a nontrivial application of the new mathematical formalism we extend our studies of exact noncommutative gravity solutions to more general deformations.
Non-target effects of a multiple insect resistant Bt-maize on the honey bee (Apis mellifera L.)
(2011)
Honey bee pollination is an ecologically and economically important ecosystem service. New methodological developments are needed to research the underlying factors of globally observed bee losses. The honey bee (Apis mellifera) is a key non-target arthropod species for environmental risk assessment of genetically modified (GM) crops. For GM-crop risk assessments, mainly methods for monitoring adult honey bees under laboratory conditions are documented. However, protocols with robust methods for standardized colonies or in vitro reared honey bee larvae are currently lacking. Within the research, presented in this this dissertation, multiple methodological developments are achieved; a mortality trap (Chapter II), a ‘full life cycle test’ (III), a novel in vitro rearing methodology (IV), a standardized in vitro test for Bt-pollen (V), a mixed toxicity test for purified transgenic proteins (VI), and a bacterial flora test with pollen digestion rate monitoring (VII). Overall, the studies did not indicate a detrimental effect caused by Bt-maize pollen, or by purified Bt-proteins at worst case exposure levels. Considering the risk for honey bees and larvae, we conclude that the tested Bt-maize Mon89034xMon88017 is not likely to cause harm to honey bee colonies. The study methods presented are highly recommended for future environmental risk assessment studies testing GM-crop biosafety on honey bees.
Practical optimization problems often comprise several incomparable and conflicting objectives. When booking a trip using several means of transport, for instance, it should be fast and at the same time not too expensive. The first part of this thesis is concerned with the algorithmic solvability of such multiobjective optimization problems. Several solution notions are discussed and compared with respect to their difficulty. Interestingly, these solution notions are always equally difficulty for a single-objective problem and they differ considerably already for two objectives (unless P = NP). In this context, the difference between search and decision problems is also investigated in general. Furthermore, new and improved approximation algorithms for several variants of the traveling salesperson problem are presented. Using tools from discrepancy theory, a general technique is developed that helps to avoid an obstacle that is often hindering in multiobjective approximation: The problem of combining two solutions such that the new solution is balanced in all objectives and also mostly retains the structure of the original solutions. The second part of this thesis is dedicated to several aspects of systems of equations for (formal) languages. Firstly, conjunctive and Boolean grammars are studied, which are extensions of context-free grammars by explicit intersection and complementation operations, respectively. Among other results, it is shown that one can considerably restrict the union operation on conjunctive grammars without changing the generated language. Secondly, certain circuits are investigated whose gates do not compute Boolean values but sets of natural numbers. For these circuits, the equivalence problem is studied, i.\,e.\ the problem of deciding whether two given circuits compute the same set or not. It is shown that, depending on the allowed types of gates, this problem is complete for several different complexity classes and can thus be seen as a parametrized) representative for all those classes.
Molecular modelling and simulation are powerful methods in providing important in-formation on different biological systems to elucidate their structural and functional proper-ties, which cannot be determined in experiment. These methods are applied to analyse versa-tile biological systems: lipid membrane bilayers stabilized by an intercalated single wall carbon nanotube and retroviral proteins such as HIV protease and integrase. HIV-1 integrase has nuclear localization signals (NLS) which play a crucial role in nuclear import of viral preintegration complex (PIC). However, the detailed mechanisms of PIC formation and its nuclear transport are not known. Previously it was shown that NLSs bind to the cell transport machinery e.g. proteins of nuclear pore complex such as transportins. I investigated the interaction of this viral protein HIV-1 integrase with proteins of the nuclear pore complex such as transportin-SR2 (Shityakov et al., 2010). I showed that the transportin-SR2 in nuclear import is required due to its interaction with the HIV-1 integrase. I analyzed key domain interaction, and hydrogen bond formation in transportin-SR2. These results were discussed in comparison to other retroviral species such as foamy viruses to better understand this specific and efficient retroviral trafficking route. The retroviral nuclear import was next analyzed in experiments regarding the retroviral ability to infect nondividing cells. To accomplish the gene transfer task successfully, ret-roviruses must efficiently transduce different cell cultures at different phases of cell cycle. However, promising and safe foamy viral vectors used for gene transfer are unable to effi-ciently infect quiescent cells. This drawback was due to their inability to create a preintegra-tion complex (PIC) for nuclear import of retroviral DNA. On the contrary, the lentiviral vec-tors are not dependant on cell cycle. In the course of reverse transcription the polypurine tract (PPT) is believed to be crucial for PIC formation. In this thesis, I compared the transduction frequencies of PPT modified FV vectors with lentiviral vectors in nondividing and dividing alveolar basal epithelial cells from human adenocarcinoma (A549) by using molecular cloning, transfection and transduction techniques and several other methods. In contrast to lentiviral vectors, FV vectors were not able to effi-ciently transduce nondividing cell (Shityakov and Rethwilm, unpublished data). Despite the findings, which support the use of FV vectors as a safe and efficient alternative to lentiviral vectors, major limitation in terms of foamy-based retroviral vector gene transfer in quiescent cells still remains. Many attempts have been made recently to search for the potential molecules as pos-sible drug candidates to treat HIV infection for over decades now. These molecules can be retrieved from chemical libraries or can be designed on a computer screen and then synthe-sized in a laboratory. Most notably, one could use the computerized structure as a reference to determine the types of molecules that might block the enzyme. Such structure-based drug design strategies have the potential to save off years and millions of dollars compared to a more traditional trial-and-error drug development process. After the crystal structure of the HIV-encoded protease enzyme had been elucidated, computer-aided drug design played a pivotal role in the development of new compounds that inhibit this enzyme which is responsible for HIV maturation and infectivity. Promising repre-sentatives of these compounds have recently found their way to patients. Protease inhibitors show a powerful sustained suppression of HIV-1 replication, especially when used in combi-nation therapy regimens. However, these drugs are becoming less effective to more resistant HIV strains due to multiple mutations in the retroviral proteases. In computational drug design I used molecular modelling methods such as lead ex-pansion algorithm (Tripos®) to create a virtual library of compounds with different binding affinities to protease binding site. In addition, I heavily applied computer assisted combinato-rial chemistry approaches to design and optimize virtual libraries of protease inhibitors and performed in silico screening and pharmacophore-similarity scoring of these drug candidates. Further computational analyses revealed one unique compound with different protease bind-ing ability from the initial hit and its role for possible new class of protease inhibitors is dis-cussed (Shityakov and Dandekar, 2009). A number of atomistic models were developed to elucidate the nanotube behaviour in lipid bilayers. However, none of them provided useful information for CNT effect upon the lipid membrane bilayer for implementing all-atom models that will allow us to calculate the deviations of lipid molecules from CNT with atomistic precision. Unfortunately, the direct experimental investigation of nanotube behaviour in lipid bilayer remains quite a tricky prob-lem opening the door before the molecular simulation techniques. In this regard, more de-tailed multi-scale simulations are needed to clearly understand the stabilization characteristics of CNTs in hydrophobic environment. The phenomenon of an intercalated single-wall carbon nanotube in the center of lipid membrane was extensively studied and analyzed. The root mean square deviation and root mean square fluctuation functions were calculated in order to measure stability of lipid mem-branes. The results indicated that an intercalated carbon nanotube restrains the conformational freedom of adjacent lipids and hence has an impact on the membrane stabilization dynamics (Shityakov and Dandekar, 2011). On the other hand, different lipid membranes may have dissimilarities due to the differing abilities to create a bridge formation between the adherent lipid molecules. The results derived from this thesis will help to develop stable nanobiocom-posites for construction of novel biomaterials and delivery of various biomolecules for medi-cine and biology.
Attention-deficit/hyperactivity disorder (ADHD) is a genetically complex childhood onset neurodevelopmental disorder which is highly persistent into adulthood. Several chromo-somal regions associated with this disorder were identified previously in genome-wide linkage scans, association (GWA) and copy number variation (CNV) studies. In this work the results of case-control and family-based association studies using a can-didate gene approach are presented. For this purpose, possible candidate genes for ADHD have been finemapped using mass array-based SNP genotyping. The genes KCNIP4, CDH13 and DIRAS2 have been found to be associated with ADHD and, in addition, with cluster B and cluster C personality disorders (PD) which are known to be related to ADHD. Most of the associations found in this work would not withstand correction for multiple testing. However, a replication in several independent populations has been achieved and in conjunction with previous evidence from linkage, GWA and CNV studies, it is assumed that there are true associations between those genes and ADHD. Further investigation of DIRAS2 by quantitative real-time PCR (qPCR) revealed expression in the hippocampus, cerebral cortex and cerebellum of the human brain and a significant increase in Diras2 expression in the mouse brain during early development. In situ hybrid-izations on murine brain slices confirmed the results gained by qPCR in the human brain. Moreover, Diras2 is expressed in the basolateral amygdala, structures of the olfactory system and several other brain regions which have been implicated in the psychopatholo-gy of ADHD. In conclusion, the results of this work provide further support to the existence of a strong genetic component in the pathophysiology of ADHD and related disorders. KCNIP4, CDH13 and DIRAS2 are promising candidates and need to be further examined to get more knowledge about the neurobiological basis of this common disease. This knowledge is essential for understanding the molecular mechanisms underlying the emergence of this disorder and for the development of new treatment strategies.
While beneficial sponge-microbe associations have received much attention in recent years, less effort has been undertaken to investigate the interactions of sponges with potentially pathogenic microorganisms. Thus, the aim of this study was to examine two selected Caribbean disease conditions, termed “Sponge Orange Band” and “Sponge White Patch”, via ecological and molecular methods. Sponge Orange Band (SOB) disease affects the prominent Caribbean barrel sponge Xestospongia muta that is counted among the high-microbial-abundance (HMA) sponges, whereas Sponge White Patch (SWP) disease affects the abundant rope sponge Amphimedon compressa that belongs to the low-microbial-abundance (LMA) sponges. I have documented for both Caribbean sponge diseases a disease progression going along with massive tissue destruction as well as loss of the characteristic microbial signatures. Even though new bacteria were shown to colonize the bleached areas, the infection trials revealed in both cases no indication for the involvement of a microbial pathogen as an etiologic agent of disease leaving us still in the dark about the cause of Sponge Orange Band as well as Sponge White Patch disease.
In the future Internet, the people-centric communication paradigm will be complemented by a ubiquitous communication among people and devices, or even a communication between devices. This comes along with the need for a more flexible, cheap, widely available Internet access. Two types of wireless networks are considered most appropriate for attaining those goals. While wireless sensor networks (WSNs) enhance the Internet’s reach by providing data about the properties of the environment, wireless mesh networks (WMNs) extend the Internet access possibilities beyond the wired backbone. This monograph contains four chapters which present modeling and optimization methods for WSNs and WMNs. Minimizing energy consumptions is the most important goal of WSN optimization and the literature consequently provides countless energy consumption models. The first part of the monograph studies to what extent the used energy consumption model influences the outcome of analytical WSN optimizations. These considerations enable the second contribution, namely overcoming the problems on the way to a standardized energy-efficient WSN communication stack based on IEEE 802.15.4 and ZigBee. For WMNs both problems are of minor interest whereas the network performance has a higher weight. The third part of the work, therefore, presents algorithms for calculating the max-min fair network throughput in WMNs with multiple link rates and Internet gateway. The last contribution of the monograph investigates the impact of the LRA concept which proposes to systematically assign more robust link rates than actually necessary, thereby allowing to exploit the trade-off between spatial reuse and per-link throughput. A systematical study shows that a network-wide slightly more conservative LRA than necessary increases the throughput of a WMN where max-min fairness is guaranteed. It moreover turns out that LRA is suitable for increasing the performance of a contention-based WMN and is a valuable optimization tool.
By the end of the year 2011, both the CMS and ATLAS experiments at the Large Hadron Collider have recorded around 5 inverse femtobarns of data at an energy of 7 TeV. There are only vague hints from the already analysed data towards new physics at the TeV scale. However, one knows that around this scale, new physics should show up so that theoretical issues of the standard model of particle physics can be cured. During the last decades, extensions to the standard model that are supposed to solve its problems have been constructed, and the corresponding phenomenology has been worked out. As soon as new physics is discovered, one has to deal with the problem of determining the nature of the underlying model. A first hint is of course given by the mass spectrum and quantum numbers such as electric and colour charges of the new particles. However, there are two popular model classes, supersymmetric models and extradimensional models, which can exhibit almost equal properties at the accessible energy range. Both introduce partners to the standard model particles with the same charges and thus one needs an extended discrimination method. From the origin of these partners arises a relevant difference: The partners constructed in extradimensional models have the same spin as their standard model partners while in Supersymmetry they differ by spin 1/2.\\ These different spins have an impact on the phenomenology of the two models. For example, one can exploit the fact that the total cross sections are affected, but this requires a very good knowledge of the couplings and masses involved. Another approach uses angular distributions depending on the particle spins. A prevailing method based on this idea uses the invariant mass distribution of the visible particles in decay chains. One can relate these distributions to the spin of the particle mediating the decay since it reflects itself in the highest power of the invariant mass $\sff$ of the adjacent particles. In this thesis we first study the influence of higher than dimension 4 operators on spin determination in such decay chains. We write down the relevant dimension 5 and 6 operators and calculate their contributions to the invariant mass distribution. We discuss how they affect the determination of spin and couplings.\\ We then address two scenarios which do not involve decay chains in the usual sense. In three body decays, the method pointed out above cannot be applied since it can only be used if the mediating particle is produced on-shell. For off-shell decays, which are important e.g. in split-Supersymmetry or split-Universal Extra Dimensions, the narrow width approximation cannot be made which previously led to the simple relation between spin and the highest power of $\sff$. We work out a strategy for these three body decays that can distinguish between the different spin scenarios. The method relies on the fact that the differential decay width $d\Gamma /d\sff$ can be rewritten in this limit as a global phase space function and a polynomial in $\sff$. The coefficients in this polynomial are functions of masses and couplings and we show that they have distinct signs or ratios depending on the spins involved in the decay. We test the strategy in a series of Monte Carlo studies and discuss the influence of the intermediate particle's mass. In the last part we consider a topology with very short decay chains. Again one cannot use the relation between spin and invariant mass. We investigate one variable that has been invented for the discrimination of Supersymmetry and Universal Extra Dimensions in the high energy limit which reduces the problem to the underlying production process. We show how this variable can also be used in new physics scenarios where the high energy limit is not a viable approximation. We include all possible spin scenarios with renormalizable interactions and study in detail the influence of the involved masses and couplings on the discrimination power of this variable. We find for example that the scenario containing the supersymmetric case is well distinguishable from most other spin scenarios.
Small-angle X-ray scattering (SAXS) is a universal low-resolution method to study proteins in solution and to analyze structural changes in response to variations of conditions (pH, temperature, ionic strength etc). SAXS is hardly limited by the particle size, being applicable to the smallest proteins and to huge macromolecular machines like ribosomes and viruses. SAXS experiments are usually fast and require a moderate amount of purified material. Traditionally, SAXS is employed to study the size and shape of globular proteins, but recent developments have made it possible to quantitatively characterize the structure and structural transitions of metastable systems, e.g. partially or completely unfolded proteins. In the absence of complementary information, low-resolution macromolecular shapes can be reconstructed ab initio and overall characteristics of the systems can be extracted. If a high or low-resolution structure or a predicted model is available, it can be validated against the experimental SAXS data. If the measured sample is polydisperse, the oligomeric state and/or oligomeric composition in solution can be determined. One of the most important approaches for macromolecular complexes is a combined ab initio/rigid body modeling, when the structures (either complete or partial) of individual subunits are available and SAXS data is employed to build the entire complex. Moreover, this method can be effectively combined with information from other structural, computational and biochemical methods. All the above approaches are covered in a comprehensive program suite ATSAS for SAXS data analysis, which has been developed at the EMBL-Hamburg. In order to meet the growing demands of the structural biology community, methods for SAXS data analysis must be further developed. This thesis describes the development of two new modules, RANLOGS and EM2DAM, which became part of ATSAS suite. The former program can be employed for constructing libraries of linkers and loops de novo and became a part of a combined ab initio/rigid body modeling program CORAL. EM2DAM can be employed to convert electron microscopy maps to bead models, which can be used for modeling or structure validation. Moreover, the programs CRYSOL and CRYSON, for computing X-ray and neutron scattering patterns from atomic models, respectively, were refurbished to work faster and new options were added to them. Two programs, to be contributed to future releases of the ATSAS package, were also developed. The first program generates a large pool of possible models using rigid body modeling program SASREF, selects and refines models with lowest discrepancy to experimental SAXS data using a docking program HADDOCK. The second program refines binary protein-protein complexes using the SAXS data and the high-resolution models of unbound subunits. Some results and conclusions from this work are presented here. The developed approaches detailed in this thesis, together with existing ATSAS modules were additionally employed in a number of collaborative projects. New insights into the “structural memory” of natively unfolded tau protein were gained and supramodular structure of RhoA-specific guanidine nucleotide exchange factor was reconstructed. Moreover, high resolution structures of several hematopoietic cytokine-receptor complexes were validated and re-modeled using the SAXS data. Important information about the oligomeric state of yeast frataxin in solution was derived from the scattering patterns recorded under different conditions and its flexibility was quantitatively characterized using the Ensemble Optimization Method (EOM).
The technology of organic photovoltaics offers the possibility of low-cost devices due to easy fabrication procedures and low material consumption and at the same time high flexibility concerning the applied substrates or design features such as the color palette. Owing to these benefits, this research field is highly active, being reflected by the continuously rising number of publications. Chapter 1 gives an extensive overview of a part of these reports, namely the field of solution-processed BHJ organic solar cells using small molecules as electron-donating materials. In the early years of this research area (2006-2008), well known hole transporting materials such as triphenylamine based chromophores, oligothiophenes and polyaromatic hydrocarbons were applied. However, many of these dyes lacked absorption at longer wavelengths and were therefore limited in their light harvesting qualities. Later, chromophores based on low band gap systems consisting of electron-donating and electron-accepting units showing internal charge transfer overcame this handicap. Today, donor-substituted diketopyrrolopyrroles (D-A-D chromophores), squaraines (D-A-D chromophores) and acceptor substituted oligothiophenes (A-D-A chromophores) are among the most promising dyes for small molecule based organic solar cells with PCEs of 4-5%. This work is based on the findings of the groups of Würthner and Meerholz, which tested merocyanine dyes for the first time in organic BHJ solar cells.4 According to the Bässler theory85, the high dipolarity of these dyes should hamper the charge transport, but the obtained first results with PCE of 1.7% proved the potenital of this class of dyes for this application. Merocyanine dyes offer the advantages of facile synthesis and purification, high tinctorial strength and monodispersity. Additionally, the electronic structure of the dyes, namely the absorption as well as the electrochemical properties, can be adjusted by using the right combination of donor and acceptor units. For these reasons, this class of dye is highly interesting for the application in organic solar cells. It was the aim of the thesis to build more knowledge about the potential and limitations of merocyanines in BHJ photovoltaic devices. By screening a variety of donor and acceptor groups a comprehensive data set both for the molecular materials as well as for the respective solar devices was generated and analyzed. As one focus, the arrangement of the chromophores in the solid state was investigated to gain insight about the packing in the solar cells and its relevance for the performance of the latter. To do so, X-ray single crystal analyses were performed for selected molecules. By means of correlations between molecular properties and the characteristics of the corresponding solar cells, several design rules to generate efficient chromophores for organic photovoltaics were developed. The different donor and acceptor moieties applied in this work are depicted in the following ...
According to a changing environment it is crucial for animals to make experience and learn about it. Sensing, integrating and learning to associate different kinds of modalities enables animals to expect future events and to adjust behavior in the way, expected as the most profitable. Complex processes as memory formation and storage make it necessary to investigate learning and memory on different levels. In this context Drosophila melanogaster represents a powerful model organism. As the adult brain of the fly is still quite complex, I chose the third instar larva as model - the more simple the system, the easier to isolate single, fundamental principles of learning. In this thesis I addressed several kinds of questions on different mechanism of olfactory associative and synaptic plasiticity in Drosophila larvae. I focused on short-term memory throughout my thesis. First, investigating larval learning on behavioral level, I developed a one-odor paradigm for olfactory associative conditioning. This enables to estimate the learnability of single odors, reduces the complexity of the task and simplify analyses of "learning mutants". It further allows to balance learnability of odors for generalization-type experiments to describe the olfactory "coding space". Furthermore I could show that innate attractiveness and learnability can be dissociated and found finally that paired presentation of a given odor with reward increase performance, whereas unpaired presentations of these two stimuli decrease performance, indicating that larva are able to learn about the presence as well as about the absence of a reward. Second, on behavioral level, together with Thomas Niewalda and colleagues we focussed on salt processing in the context of choice, feeding and learning. Salt is required in several physiological processes, but can neither be synthesized nor stored. Various salt concentrations shift the valence from attraction to repulsion in reflexive behaviour. Interestingly, the reinforcing effect of salt in learning is shifted by more than one order of magnitude toward higher concentrations. Thus, the input pathways for gustatory behavior appear to be more sensitive than the ones supporting gustatory reinforcement, which is may be due to the dissociation of the reflexive and the reinforcing signalling pathways of salt. Third, in cooperation with Michael Schleyer we performed a series of behavioral gustatory, olfactory preference tests and larval learning experiments. Based on the available neuroanatomical and behavioral data we propose a model regarding chemosensory processing, odor-tastant memory trace formation and the 'decision' like process. It incorporates putative sites of interaction between olfactory and gustatory pathways during the establishment as well as behavioral expression of odor-tastant memory. We claim that innate olfactory behavior is responsive in nature and suggest that associative conditioned behavior is not a simple substitution like process, but driven more likely by the expectation of its outcome. Fourth, together with Birgit Michels and colleagues we investigated the cellular site and molecular mode of Synapsin, an evolutionarily conserved, presynaptic vesicular phosphoprotein and its action in larval learning. We confirmed a previously described learning impairment upon loss of Synapsin. We localized this Synapsin dependent memory trace in the mushroom bodies, a third-order "cortical" brain region, and could further show on molecular level, that Synapsin is as a downstream element of the AC-cAMP-PKA signalling cascade. This study provides a comprehensive chain of explanation from the molecular level to an associative behavioral change. Fifth, in the main part of my thesis I focused on molecular level on another synaptic protein, the Synapse associated protein of 47kDa (Sap47) and its role in larval behavior. As a member of a phylogenetically conserved gene family of hitherto unknown function. It is localized throughout the whole neuropil of larval brains and associated with presynaptic vesicles. Upon loss of Sap47 larvae exhibit normal sensory detection of the to-be-associated stimuli as well as normal motor performance and basic synaptic transmission. Interestingly, short-term plasticity is distorted and odorant–tastant associative learning ability is reduced. This defect in associative function could be rescued by restoring Sap47 expression. Therefore, this report is the first to suggest a function for Sap47 and specifically argues that Sap47 is required for synaptic as well as for behavioral plasticity in Drosophila larva. This prompts the question whether its homologs are required for synaptic and behavioral plasticity also in other species. Further in the last part of my thesis I contributed to the study of Ayse Yarali. Her central topic was the role of the White protein in punishment and relief learning in adult flies. Whereas stimuli that precede shock during training are subsequently avoided as predictors for punishment, stimuli that follow shock during training are later on approached, as they predict relief. Concerning the loss of White we report that pain-relief learning as well as punishment learning is changed. My contribution was a comparison between wild type and the white1118 mutant larvae in odor-reward learning. It turned out that a loss of White has no effect on larval odorant-tastant learning. This study, regarding painrelief learning provides the very first hints concerning the genetic determinants of this form of learning.
The subject of this thesis are mathematical programs with complementarity conditions (MPCC). At first, an economic example of this problem class is analyzed, the problem of effort maximization in asymmetric n-person contest games. While an analytical solution for this special problem could be derived, this is not possible in general for MPCCs. Therefore, optimality conditions which might be used for numerical approaches where considered next. More precisely, a Fritz-John result for MPCCs with stronger properties than those known so far was derived together with some new constraint qualifications and subsequently used to prove an exact penalty result. Finally, to solve MPCCs numerically, the so called relaxation approach was used. Besides improving the results for existing relaxation methods, a new relaxation with strong convergence properties was suggested and a numerical comparison of all methods based on the MacMPEC collection conducted.
During the last decades the standard model of particle physics has evolved to one of the most precise theories in physics, describing the properties and interactions of fundamental particles in various experiments with a high accuracy. However it lacks on some shortcomings from experimental as well as from theoretical point of view: There is no approved mechanism for the generation of masses of the fundamental particles, in particular also not for the light, but massive neutrinos. In addition the standard model does not provide an explanation for the observance of dark matter in the universe. Moreover the gauge couplings of the three forces in the standard model do not unify, implying that a fundamental theory combining all forces can not be formulated. Within this thesis we address supersymmetric models as answers to these various questions, but instead of focusing on the most simple supersymmetrization of the standard model, we consider basic extensions, namely the next-to-minimal supersymmetric standard model (NMSSM), which contains an additional singlet field, and R-parity violating models. R-parity is a discrete symmetry introduced to guarantee the stability of the proton. Using lepton number violating terms in the context of bilinear R-parity violation and the munuSSM we are able to explain neutrino physics intrinsically supersymmetric, since those terms induce a mixing between the neutralinos and the neutrinos. Since 2009 the Large Hadron Collider (LHC) at CERN explores the new energy regime of Tera-electronvolt, allowing the production of potentially existing heavy particles by the collision of protons. Thus the near future might provide answers to the open questions of mass generation in the standard model and show hints towards physics beyond the standard model. Therefore this thesis works out the phenomenology of the supersymmetric models under consideration and tries to point out differences to the well-known features of the simplest supersymmetric realization of the standard model. In case of the R-parity violating models the decays of the light neutralinos can result in displaced vertices. In combination with a light singlet state these displaced vertices might offer a rich phenomenology like non-standard Higgs decays into a pair of singlinos decaying with displaced vertices. Within this thesis we present some calculations at next order of perturbation theory, since one-loop corrections provide possibly large contributions to the tree-level masses and decay widths. We are using an on-shell renormalization scheme to calculate the masses of neutralinos and charginos including the neutrinos and leptons in case of the R-parity violating models at one-loop level. The discussion shows the similarities and differences to existing calculations in another renormalization scheme, namely the DRbar scheme. Moreover we consider two-body decays of the form chi_j^0 -> chi_l^\pm W^\mp involving a heavy gauge boson in the final state at one-loop level. Corrections are found to be large in case of small or vanishing tree-level decay widths and also for the R-parity violating decay of the lightest neutralino chi_1^0 -> l^\pm W^\mp. An interesting feature of the models based on bilinear R-parity violation is the correlation between the branching ratios of the lightest neutralino decays and the neutrino mixing angles. We discuss these relations at tree-level and for two-body decays chi_1^0 -> l^\pm W^\mp also at one-loop level, since only the full one-loop corrections result in the tree-level expected behavior. The appendix describes the two programs MaCoR and CNNDecays being developed for the analysis carried out in this thesis. MaCoR allows for the calculation of mass matrices and couplings in the models under consideration and CNNDecays is used for the one-loop calculations of neutralino and chargino mass matrices and the two-body decay widths.