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Large-scale anatomical and functional analyses of the connectivity in both invertebrate and mammalian brains have gained intense attention in recent years. At the same time, the understanding of synapses on a molecular level still lacks behind. We have only begun to unravel the basic mechanisms of how the most important synaptic proteins regulate release and reception of neurotransmitter molecules, as well as changes of synaptic strength. Furthermore, little is known regarding the stoichiometry of presynaptic proteins at different synapses within an organism. An assessment of these characteristics would certainly promote our comprehension of the properties of different synapse types. Presynaptic proteins directly influence, for example, the probability of neurotransmitter release as well as mechanisms for short-term plasticity. We have examined the strength of expression of several presynaptic proteins at different synapse types in the central nervous system of Drosophila melanogaster using immunohistochemistry. Clear differences in the relative abundances of the proteins were obvious on different levels: variations in staining intensities appeared from the neuropil to the synaptic level. In order to quantify these differences, we have developed a ratiometric analysis of antibody stainings. By application of this ratiometric method, we could assign average ratios of presynaptic proteins to different synapse populations in two central relays of the olfactory pathway. In this manner, synapse types could be characterized by distinct fingerprints of presynaptic protein ratios. Subsequently, we used the method for the analysis of aberrant situations: we reduced levels of Bruchpilot, a major presynaptic protein, and ablated different synapse or cell types. Evoked changes of ratio fingerprints were proportional to the modifications we had induced in the system. Thus, such ratio signatures are well suited for the characterization of synapses. In order to contribute to our understanding of both the molecular composition and the function of synapses, we also characterized a novel synaptic protein. This protein, Drep-2, is a member of the Dff family of regulators of apoptosis. We generated drep-2 mutants, which did not show an obvious misregulation of apoptosis. By contrast, Drep-2 was found to be a neuronal protein, highly enriched for example at postsynaptic receptor fields of the input synapses of the major learning centre of insects, the mushroom bodies. Flies mutant for drep-2 were viable but lived shorter than wildtypes. Basic synaptic transmission at both peripheral and central synapses was in normal ranges. However, drep-2 mutants showed a number of deficiencies in adaptive behaviours: adult flies were locomotor hyperactive and hypersensitive towards ethanol-induced sedation. Moreover, the mutant animals were heavily impaired in associative learning. In aversive olfactory conditioning, drep-2 mutants formed neither short-term nor anaesthesia-sensitive memories. We could demonstrate that Drep-2 is required in mushroom body intrinsic neurons for normal olfactory learning. Furthermore, odour-evoked calcium transients in these neurons, a prerequisite for learning, were reduced in drep-2 mutants. The impairment of the mutants in olfactory learning could be fully rescued by pharmacological application of an agonist to metabotropic glutamate receptors (mGluRs). Quantitative mass spectrometry of Drep-2 complexes revealed that the protein is associated with a large number of translational repressors, among them the fragile X mental retardation protein FMRP. FMRP inhibits mGluR-mediated protein synthesis. Lack of this protein causes the fragile X syndrome, which constitutes the most frequent monogenic cause of autism. Examination of the performance of drep-2 mutants in courtship conditioning showed that the animals were deficient in both short- and long-term memory. Drep-2 mutants share these phenotypes with fmrp and mGluR mutants. Interestingly, drep-2; fmrp double mutants exhibited normal memory. Thus, we propose a model in which Drep-2 antagonizes FMRP in the regulation of mGluR-dependent protein synthesis. Our hypothesis is supported by the observation that impairments in synaptic plasticity can arise if mGluR signalling is imbalanced in either direction. We suggest that Drep-2 helps in establishing this balance.
Serotonin (5-HT) has been implicated in the regulation of emotions as well as in its pathological states, such as anxiety disorders and depression. Mice with targeted deletion of genes encoding various mediators of central serotonergic neurotransmission therefore provides a powerful tool in understanding contributions of such mediators to homeostatic mechanisms as well as to the development of human emotional disorders. Within this thesis a battery of electrophysiological recordings were conducted in the dorsal raphe nucleus (DRN) and the hippocampus of two murine knockout lines with deficient serotonergic systems. Serotonin transporter knockout mice (5-Htt KO), which lack protein responsible for reuptake of 5-HT from the extracellular space and tryptophan hydroxylase 2 knockout (Tph2 KO) mice, which lack the gene encoding the neuronal 5-HT-synthesising enzyme. First, 5-HT1A receptor-mediated autoinhibition of serotonergic neuron firing in the DRN was assessed using the loose-seal cell-attached configuration. Stimulation of 5-HT1A receptors by a selective agonist, R-8-hydroxy-2-(di-n-propylamino)tetralin (R-8-OH-DPAT), showed a mild sensitisation and a marked desensitisation of these receptors in Tph2 KO and 5-Htt KO mice, respectively. While application of tryptophan, a precursor of 5-HT and a substrate of Tph2, did not cause autoinhibition in Tph2 KO mice due to the lack of endogenously produced 5-HT, data from 5-Htt KO mice as well as heterozygous mice of both KO mice lines demonstrated the presence of autoinhibitory mechanisms as normal as seen in wildtype (WT) controls. When the Tph2-dependent step in the 5-HT synthesis pathway was bypassed by application of 5-hydroxytryptophan (5-HTP), serotonergic neurons of both Tph2 KO and 5-Htt KO mice showed decrease in firing rates at lower concentrations of 5-HTP than in WT controls. Elevated responsiveness of serotonergic neurons from Tph2 KO mice correspond to mild sensitisation of 5-HT1A receptors, while responses from 5-Htt KO mice suggest that excess levels of extracellular 5-HT, created by the lack of 5-Htt, stimulates 5-HT1A receptors strong enough to overcome desensitisation of these receptors. Second, the whole-cell patch clamp recording data from serotonergic neurons in the DRN showed no differences in basic electrophysiological properties between Tph2 KO and WT mice, except lower membrane resistances of neurons from KO mice. Moreover, the whole-cell patch clamp recording from CA1 pyramidal neurons in the hippocampus of 5-Htt KO mice showed increased conductance both at a steady state and at action potential generation. Lastly, magnitude of long-term potentiation (LTP) induced by the Schaffer collateral/commissural pathway stimulation in the ventral hippocampus showed no differences among Tph2 KO, 5-Htt KO, and WT counterparts. Taken together, lack and excess of extracellular 5-HT caused sensitisation and desensitisation of autoinhibitory 5-HT1A receptors, respectively. However, this may not directly translate to the level of autoinhibitory regulation of serotonergic neuron firing when these receptors are stimulated by endogenously synthesised 5-HT. In general, KO mice studied here showed an astonishing level of resilience to genetic manipulations of the central serotonergic system, maintaining overall electrophysiological properties and normal LTP inducibility. This may further suggest existence of as-yet-unknown compensatory mechanisms buffering potential alterations induced by genetic manipulations.
Scientific surveys provide sufficient evidence that anxiety disorders are one of the most common psy-chiatric disorders in the world. The lifetime prevalence rate of anxiety disorder is 28.8% (Kessler, et al., 2005). The most widely studied anxiety disorders are as follows panic disorder (PD), post-traumatic stress disorder (PTSD), obsessive-compulsive disorder (OCD), social phobia (or social anxiety disorder), specific phobias, and generalized anxiety disorder (GAD). (NIMH Article, 2009). Classical conditioning is the stable paradigm used from the last one century to understand the neurobi-ology of fear learning. Neurobiological mechanism of fear learning is well documented with the condi-tioning studies. In the therapy of anxiety disorders, exposure based therapies are known to be the most effective approaches. Flooding is a form of exposure therapy in which a participant is exposed to the fear situation and kept in that situation until their fear dissipates. The exposure therapy is based on the phenomena of extinction; this means that a conditioned response diminishes if the conditioned stimulus (CS) is repeatedly presented without an unconditioned stimulus (UCS). One problem with extinction as well as with exposure-based therapy is the problem of fear return (for e.g. renewal, spontaneous recov-ery and reinstatement) after successful extinction. Therefore, extinction does not delete the fear memory trace. It has been well documented that memory processes can be modulated or disrupted using several sci-entific paradigms such as behavioral (for e.g. exposure therapy), pharmacological (for e.g. drug manipu-lation), non-invasive stimulation (for e.g. non-invasive stimulation such as electroconvulsive shock (ECS), transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), etc. However, modulation of memory processes after reactivation or via non-invasive stimulation is still not clear, which is the focus of the current study. In addition, study of genetic variant suggests that genetic differences play a vital role in the psychiatric disorder especially in fear learning. Hence, it is also one of the concerns of the current dissertation to investigate the interaction between gene and reconsolidation of memory. With respect to fear-conditioning, there are three findings in the current dissertation, which are as fol-lows: (i) In the first study we investigated that non-invasive weak electrical stimulation interferes with the consolidation process and disrupts the fear consolidation to attain stable form. This might offer an effective treatment in the pathological memories, for e.g. PTSD, PD, etc. (ii) In the second study we demonstrated whether a brief single presentation of the CS will inhibit the fear recovery. Like earlier studies we also found that reactivation followed by reconsolidation douses fear return. Attenuation of fear recovery was observed in the reminder group compared to the no-reminder group. (iii) Finally, in our third study we found a statistically significant role of brain derived neurotrophic factor (BDNF) polymorphism in reconsolidation. Results of the third study affirm the involvement of BDNF variants (Met vs. Val) in the modulation of conditioned fear memory after its reactivation. In summary, we were able to show in the current thesis modulation of associative learning and recon-solidation via transcranial direct current stimulation and genetic polymorphism.
Staphylococcus aureus (SA) causes nosocomial infections including life threatening sepsis by multi-resistant strains (MRSA). It has the ability to form biofilms to protect it from the host immune system and from anti staphylococcal drugs. Biofilm and planctonic life style is regulated by a complex Quorum-Sensing (QS) system with agr as a central regulator. To study biofilm formation and QS mechanisms in SA a Boolean network was build (94 nodes, 184 edges) including two different component systems such as agr, sae and arl. Important proteins such as Sar, Rot and SigB were included as further nodes in the model. System analysis showed there are only two stable states biofilm forming versus planctonic with clearly different subnetworks turned on. Validation according to gene expression data confirmed this. Network consistency was tested first according to previous knowledge and literature. Furthermore, the predicted node activity of different in silico knock-out strains agreed well with corresponding micro array experiments and data sets. Additional validation included the expression of further nodes (Northern blots) and biofilm production compared in different knock-out strains in biofilm adherence assays. The model faithfully reproduces the behaviour of QS signalling mutants. The integrated model allows also prediction of various other network mutations and is supported by experimental data from different strains. Furthermore, the well connected hub proteins elucidate how integration of different inputs is achieved by the QS network. For in silico as well as in vitro experiments it was found that the sae-locus is also a central modulator of biofilm production. Sae knock-out strains showed stronger biofilms. Wild type phenotype was rescued by sae complementation. To elucidate the way in which sae takes influence on biofilm formation the network was used and Venn-diagrams were made, revealing nodes regulated by sae and changed in biofilms. In these Venn-diagrams nucleases and extracellular proteins were found to be promising nodes. The network revealed DNAse to be of great importance. Therefore qualitatively the DNAse amount, produced by different SA mutants was measured, it was tried to dissolve biofilms with according amounts of DNAse and the concentration of nucleic acids, proteins and polysaccharides were measured in biofilms of different SA mutants.
With its thorough validation the network model provides a powerful tool to study QS and biofilm formation in SA, including successful predictions for different knock-out mutant behaviour, QS signalling and biofilm formation. This includes implications for the behaviour of MRSA strains and mutants. Key regulatory mutation combinations (agr–, sae–, sae–/agr–, sigB+, sigB+/sae–) were directly tested in the model but also in experiments. High connectivity was a good guide to identify master regulators, whose detailed behaviour was studied both in vitro and in the model. Together, both lines of evidence support in particular a refined regulatory role for sae and agr with involvement in biofilm repression and/or SA dissemination. With examination of the composition of different mutant biofilms as well as with the examination of the reaction cascade that connects sae to the biofilm forming ability of SA and also by postulating that nucleases might play an important role in that, first steps were taken in proving and explaining regulatory links leading from sae to biofilms. Furthermore differences in biofilms of different mutant SA strains were found leading us in perspective towards a new understanding of biofilms including knowledge how to better regulate, fight and use its different properties.
The top quark plays an important role in current particle physics, from a theoretical point of view because of its uniquely large mass, but also experimentally because of the large number of top events recorded by the LHC experiments ATLAS and CMS, which makes it possible to directly measure the properties of this particle, for example its couplings to the other particles of the standard model (SM), with previously unknown precision. In this thesis, an effective field theory approach is employed to introduce a minimal and consistent parametrization of all anomalous top couplings to the SM gauge bosons and fermions which are compatible with the SM symmetries. In addition, several aspects and consequences of the underlying effective operator relations for these couplings are discussed. The resulting set of couplings has been implemented in the parton level Monte Carlo event generator WHIZARD in order to provide a tool for the quantitative assessment of the phenomenological implications at present and future colliders such as the LHC or a planned international linear collider. The phenomenological part of this thesis is focused on the charged current couplings of the top quark, namely anomalous contributions to the trilinear tbW coupling as well as quartic four-fermion contact interactions of the form tbff, both affecting single top production as well as top decays at the LHC. The study includes various aspects of inclusive cross section measurements as well as differential distributions of single tops produced in the t channel, bq → tq', and in the s channel, ud → tb. We discuss the parton level modelling of these processes as well as detector effects, and finally present the prospected LHC reach for setting limits on these couplings with 10 resp. 100 fb−1 of data recorded at √s = 14 TeV.
In this work, we take a look at the connection of gamma-ray bursts (GRBs) and ultra-high-energy cosmic rays (UHECR) as well as the possibilities how to verify this connection. The currently most promising approach is based on the detection of high-energy neutrinos, which are associated with the acceleration of cosmic rays. We detail how the prompt gamma-ray emission is connected to the prediction of a neutrino signal. We focus on the interactions of photons and protons in this regard. At the example of the current ANTARES GRB neutrino analysis, we show the differences between numerical predictions and older analytical methods. Moreover, we discuss the possibilities how cosmic ray particles can escape from GRBs, assuming that UHECR are entirely made up of protons. For this, we compare the commonly assumed neutron escape model with a new component of direct proton escape. Additionally, we will show that the different components, which contribute to the cosmic ray flux, strongly depend on the burst parameters, and test the applicability on some chosen GRBs. In a further step, we continue with the considerations regarding the connection of GRBs and UHECR by connecting the GRB source model with the cosmic
ray observations using a simple cosmic ray propagation code. We test if it is possible to achieve the observed cosmic ray energy densities with our simple model and what the consequences are regarding the prompt GRB neutrino flux predictions as well as the cosmogenic neutrinos. Furthermore, we consider the question of neutrino lifetime and how it affects the prompt GRB neutrino flux predictions. In a final chapter, we show that it is possible to apply the basic source model with photohadronic interactions to other types of sources, using the example of the microquasar Cygnus X-3.
Cancer cells frequently escape from immune surveillance by down-regulating two important components of the immune defence: antigen-presenting MHC and costimulatory molecules. Therefore several novel anti-tumour compounds that aim to assist the immune system in recognising and fighting cancer are currently under development. Recombinant bispecific antibodies represent one group of such novel therapeutics. They target two different antigens and recruit cytotoxic effector cells to tumour cells. For cancer immunotherapy, bispecific T cell-engaging antibodies are already well characterised. These antibodies target a tumour-associated antigen and CD3ε, the constant molecule of the T cell receptor complex.
On the one hand, this study presents the development of a bispecific antibody targeting CD3ε and the rhabdomyosarcoma-associated fetal acetylcholine receptor. On the other hand, it describes a novel two-part trispecific antibody format for the treatment of leukaemia and other haematological malignancies in the context of haematopoietic stem cell transplantation (HSCT).
For HSCT, an HLA-identical donor is preferred, but very rarely available. In an HLA-mismatched setting, the HLA disparity could be exploited for targeted cancer treatment. In the present study, a two-part trispecific HLA-A2 × CD45 × CD3 antibody was developed for potential cases in which the patient is HLA-A2-positive, but the donor is not. This holds true for about half the cases in Germany, since HLA-A2 is the most common HLA molecule found here. Combinatorial targeting of HLA-A2 and the leucocyte-common antigen CD45 allows for highly specific dual-antigen restricted tumour targeting.
More precisely, two single-chain antibody constructs were developed: i) a single-chain variable fragment (scFv) specific for HLA-A2, and ii) a scFv against CD45, both linked to the VL and the VH domain of a CD3ε-specific antibody, respectively. It turned out that, after the concomitant binding of these constructs to the same HLA-A2- and CD45-expressing cell, the unpaired variable domains of a CD3ε-specific antibody assembled to a functional scFv. In a therapeutic situation, this assembly should exclusively occur on the recipient’s blood cancer cells, leading to T cell-mediated cancer cell destruction. In this way, a relapse of disease might be prevented, and standard therapy (radiation and chemotherapy) might be omitted.
For both approaches, the antibody constructs were periplasmically expressed in E. coli, purified via His tag, and biochemically characterised. Their binding to the respective targets was proven by flow cytometry. The stimulatory properties of the antibodies were assayed by measuring IL-2 release after incubation with T cells and antigen-expressing target cells. Both the bispecific antibody against rhabdomyosarcoma and the assembled trispecific antibody against blood cancer mediated T-cell activation in a concentration-dependent manner at nanomolar concentrations. For the trispecific antibody, this effect indeed proved to be dual antigen-restricted, as it could be blocked by prior incubation of either HLA-A2- or CD45-specific scFv and did not occur on single-positive (CD45+) or double-negative (HLA-A2- CD45-) target cells. Furthermore, antibodies from both approaches recruited T cells for tumour cell destruction in vitro.
In this dissertation, I examine the relationship between specialisation and stability of plant-pollinator networks, with a focus on two issues: Diversity maintenance in animal-pollinated plant communities and robustness of plant-pollinator systems against disturbances such as those caused by anthropogenic climate change. Chapter 1 of this thesis provides a general introduction to the concepts of ecological stability and specialisation with a focus on plant-pollinator systems, and a brief outline of the following chapters. Chapters 2-5 each consist of a research article addressing a specific question. While chapters 2 and 3 deal with different aspects of diversity maintenance in animal-pollinated plant communities, chapters 4 and 5 are concerned with the consequences of climate change in the form of temporary disturbances caused by extreme climatic events (chapter 4) and shifts in phenology of plants and pollinators (chapter 5). From a methodological perspective, the first three articles (chapter 2-4) can be grouped together as they all employ mathematical models of plant-pollinator systems, whereas chapter 5 describes an empirical study of plant-pollinator interactions along an altitudinal gradient in the Alps. The final chapter (6) provides a review of current knowledge on each of the two main themes of this thesis and places the findings of the four research articles in the context of related studies.
For determination of structures and structural dynamics of proteins organic fluorophores are a standard instrument. Intra- and intermolecular contact of biomolecular structures are determined in time-resolved and stationary fluorescence microscopy experiments by quenching of organic fluorophores due to Photoinduced Electron Transfer (PET) and dimerization interactions. Using PET we show in this work that end-to-end contact dynamics of serine-glycine peptides are slowed down by glycosylation. This slow down is due to a change in reaction enthalpy for end-to-end contact and is partly compensated by entropic effects. In a second step we test how dimerization of MR121 fluorophore pairs reports on end-to-end contact dynamics. We show that in aqueous solutions containing strong denaturants MR121 dimerization reports advantageously on contact dynamics for glycine-serine oligopeptides compared to the previously used MR121/tryptophane PET reporters. Then we analyze dimer interactions and quenching properties of different commercially available fluorophores being standards in Förster Resonance Energy Transfer (FRET) measurements. Distances in biomolecules are determinable using FRET, but for very flexible biomolecules the analysis of masurement data can be distorted if contact of the two FRET fluorophores is likely. We quantify how strong the quenching of fluorophore pairs with two different or two identical fluorophores is. Dimer spectra and association constants are quantified to estimate if fluophores are applicable in various applications, e.g. in FRET measurements with unstructured peptides and proteins.
In acute graft-versus-host disease (GVHD) alloreactive donor T cells selectively damage skin, liver, and the gastrointestinal tract while other organs are rarely affected. The mechanism of this selective target tissue infiltration is not well understood. We investigated the importance of alloantigen expression for the selective organ manifestation by examining spatiotemporal changes of cellular and molecular events after allogeneic hematopoietic cell transplantation (allo-HCT). To accomplish this we established a novel multicolor light sheet fluorescence microscopy (LSFM) approach for deciphering immune processes in large tissue specimens on a single-cell level in 3 dimensions. We combined and optimized protocols for antibody penetration, tissue clearing, and triple-color illumination to create a method for analyzing intact mouse and human tissues. This approach allowed us to successfully quantify changes in expression patterns of mucosal vascular addressin cell adhesion molecule–1 (MAdCAM-1) and T cell responses in Peyer’s patches following allo-HCT. In addition, we proofed that LSFM is suitable to map individual T cell subsets after HCT and detected rare cellular events. We employed this versatile technique to study the role of alloantigen expression for the selective organ manifestation after allo-HCT. Therefore, we used a T cell receptor (TCR) transgenic mouse model of GVHD that targets a single peptide antigen and thereby mimics a major histocompatibility complex (MHC)-matched single antigen mismatched (miHAg-mismatched) HCT. We transplanted TCR transgenic (OT-I) T cells into myeloablatively conditioned hosts that either express the peptide antigen ovalbumin ubiquitously (βa-Ova) or selectively in the pancreas (RIP-mOva), an organ that is normally not affected by acute GVHD. Of note, at day+6 after HCT we observed that OT-I T cell infiltration occurred in an alloantigen dependent manner. In βa-Ova recipients, where antigen was ubiquitously expressed, OT-I T cells infiltrated all organs and were not restricted to gastrointestinal tract, liver, and skin. In RIP-mOva recipients, where cognate antigen was only expressed in the pancreas, OT-I T cells selectively infiltrated this organ that is usually spared in acute GVHD. In conditioned RIP-mOva the transfer of 100 OT-I T cells sufficed to effectively infiltrate and destroy pancreatic islets resulting in 100% mortality. By employing intact tissue LSFM in RIP-mOva recipients, we identified very low numbers of initial islet infiltrating T cells on day+4 after HCT followed by a massive T cell migration to the pancreas within the following 24 hours. This suggested an effective mechanism of effector T cell recruitment to the tissue of alloantigen expression after initial antigen specific T cell encounter. In chimeras that either expressed the model antigen ovalbumin selectively in hematopoietic or in parenchymal cells only, transplanted OT-I T cells infiltrated target tissues irrespective of which compartment expressed the alloantigen. As IFN-γ could be detected in the serum of transplanted ovalbumin expressing recipients (βa-Ova, βa-Ova-chimeras and RIP-mOva) at day+6 after HCT, we hypothesized that this cytokine may be functionally involved in antigen specific OT-I T cell mediated pathology. In vitro activated OT-I T cells responded with the production of IFN-γ upon antigen re-encounter suggesting that IFN-γ might be relevant in the alloantigen dependent organ infiltration of antigen specific CD8+ T cell infiltration after HCT. Based on these data we propose that alloantigen expression plays an important role in organ specific T cell infiltration during acute GVHD and that initial alloreactive T cells recognizing the cognate antigen propagate a vicious cycle of enhanced T cell recruitment that subsequently culminates in the exacerbation of tissue restricted GVHD.
In their natural environment animals face complex and highly dynamic olfactory input. This requires fast and reliable processing of olfactory information, in vertebrates as well as invertebrates. Parallel processing has been shown to improve processing speed and power in other sensory systems like auditory or visual. In the olfactory system less is known about olfactory coding in general and parallel processing in particular. With its elaborated olfactory system and due to their specialized neuroanatomy, honeybees are well-suited model organism to study parallel olfactory processing. The honeybee possesses a unique neuronal architecture - a dual olfactory pathway. Two mirror-imaged output projection neuron (PN) pathways connect the first olfactory processing stage, the antennal lobe (analog to the vertebrates olfactory bulb, OB), with the second, the mushroom body (MB) known to be involved in orientation and learning and memory, and the lateral horn (LH). The medial antennal lobe-protocerebral tract (m-APT) first innervates the MB and thereafter the LH, while the other, the lateral-APT (l-APT) projects in opposite direction. The neuroanatomy and evolution of these pathways has been analyzed, yet little is known about its physiology. To analyze the function of the dual olfactory pathway a new established recording method was designed and is described in the first chapter of this thesis (multi-unit-recordings). This is now the first time where odor response from several PNs of both tracts is recorded simultaneously and with high temporal precision. In the second chapter the PN odor responses are analyzed. The major findings are: both tracts responded to all tested odors but with differing characteristics. Since recent studies describe the input to the two tracts being rather similar, the results now indicate differential odor processing along the tracts, therefore this is a good indicator for parallel processing. PNs of the m-APT process odors in a sparse manner with delayed response latencies, but with high odor-specificity. PNs of the l-APT in contrast respond to several odor stimuli and respond in general faster. In some PN originating from both tracts, characteristics of odor-identity coding via response latencies were found. Analyzing the over-all dynamic range of the PNs both l- and m-APT PNs were tested over a large odor concentration range (10-6 to 10-2) (3. chapter). The PNs responded with linear and non-linear correlation of the response strength to the odor concentration. In most cases the l-APT is comparatively more sensitive to low odor concentrations. Response latency decreases with increasing odor concentration in both tracts. Alternative coding principles and elaboration on the hypothesis whether the dual olfactory pathway may contribute coincidental innervation to the next higher-order neurons, the Kenyon cells (KC), is subject of the 4. chapter. Cross-correlations and synchronous responses of both tracts show that in principle odors may be coded via temporal coding. Results suggest that odor processing is enhanced if both tracts contribute to olfactory coding together. In another project the distribution of the inhibitory neurotransmitter GABA (gamma-aminobutyric acid) was measured in the bee’s MB during adult maturation (5. chapter). GABAergic inhibition is of high importance in odor coding. An almost threefold decrease in the total amount of GABAergic innervation was found during adult maturation in the l- and m-APT target region, in particular at the change in division of labor during the transition from a young nurse bee to an older forager bee. The results fit well into the current understanding of brain development in the honeybee and other social insects during adult maturation, which was described as presynaptic pruning and KC dendritic outgrowth. Combining anatomical and functional properties of the bee’s dual olfactory pathway suggests that both rate and temporal coding are implemented along two parallel streams. Comparison with recent work on analog output pathways of the vertebrate’s OB indicates that parallel processing of olfactory information may be a common principle across distant taxa.
Atherosclerosis is accepted to be a chronic inflammatory disease of the arterial vessel wall. Several cellular subsets of the immune system are involved in its initiation and progression, such as monocytes, macrophages, T and B cells. Recent research has demonstrated that dendritic cells (DCs) contribute to atherosclerosis, too. DCs are defined by their ability to sense and phagocyte antigens, to migrate and to prime other immune cells, such as T cells. Although all DCs share these functional characteristics, they are heterogeneous with respect to phenotype and origin. Several markers have been used to describe DCs in different lymphoid and non-lymphoid organs; however, none of them has proven to be unambiguous. The expression of surface molecules is highly variable depending on the state of activation and the surrounding tissue. Furthermore, DCs in the aorta or the atherosclerotic plaque can be derived from designated precursor cells or from monocytes. In addition, DCs share both their marker expression and their functional characteristics with other myeloid cells like monocytes and macrophages. The repertoire of aortic DCs in healthy and atherosclerotic mice has just recently started to be explored, but yet there is no systemic study available, which describes the aortic DC compartment. Because it is conceivable that distinct aortic DC subsets exert dedicated functions, a detailed description of vascular DCs is required. The first part of this thesis characterizes DC subsets in healthy and atherosclerotic mice. It describes a previously unrecognized DC subset and also sheds light on the origin of vascular DCs. In recent years, microRNAs (miRNAs) have been demonstrated to regulate several cellular functions, such as apoptosis, differentiation, development or proliferation. Although several cell types have been characterized extensively with regard to the miRNAs involved in their regulation, only few studies are available that focus on the role of miRNAs in DCs. Because an improved understanding of the regulation of DC functions would allow for new therapeutic options, research on miRNAs in DCs is required. The second part of this thesis focuses on the role of the miRNA cluster miR- 17~92 in DCs by exploring its functions in healthy and atherosclerotic mice. This thesis clearly demonstrates for the first time an anti-inflammatory and atheroprotective role for the miR17-92 cluster. A model for its mechanism is suggested.
Peritonitis is a common disease in man, frequently caused by fungi, such as Candida albicans; however, in seldom cases opportunistic infections with Saccharomyces cerevisiae are described. Resident peritoneal macrophages (prMΦ) are the major group of phagocytic cells in the peritoneum. They express a broad range of surface pattern recognition receptors (PRR) to recognize invaders. Yeast infections are primarily detected by the Dectin-1 receptor, which triggers activation of NFAT and NF-κB pathways.
The transcription of the Nfatc1 gene is directed by the two alternative promoters, inducible P1 and relatively constitutive P2 promoter. While the role of P1-directed NFATc1α-isoforms to promote survival and proliferation of activated lymphocytes is well-established, the relevance of constitutively generated NFATc1β-isoforms, mainly expressed in resting lymphocytes, myeloid and non-lymphoid cells, remains unclear. Moreover, former work at our department indicated different roles for NFATc1α- and NFATc1β-proteins in lymphocytes.
Our data revealed the functional role of NFATc1 in peritoneal resident macrophages. We demonstrated that the expression of NFATc1β is required for a proper immune response of prMΦ during fungal infection-induced acute peritonitis. We identified Ccl2, a major chemokine produced in response to fungal infections by prMΦ, as a novel NFATc1 target gene which is cooperatively regulated through the NFAT- and canonical NF-κB pathways. Consequently, we showed that NFATc1β deficiency in prMΦ results in a decreased infiltration of inflammatory monocytes, leading to a delayed clearance of peritoneal fungal infection.
We could further show that the expression of NFATc1β-isoforms is irrelevant for homeostasis of myeloid and adaptive immune system cells and that NFATc1α- (but not β-) isoforms are required for a normal development of peritoneal B1a cells. In contrast to the situation in myeloid cells, NFATc1β deficiency is compensated by increased expression of NFATc1α-isoforms in lymphoid cells. As a consequence, NFATc1ß is dispensable for activation of the adaptive immune system.
Taken together our results illustrate the redundancy and indispensability of NFATc1-isoforms in the adaptive and innate immune system, indicating a complex regulatory system for Nfatc1 gene expression in different compartments of the immune system and likely beyond that.
Role of Hypoxia-Inducible Factor (HIF) 1α in Dendritic Cells in Immune Regulation of Atherosclerosis
(2013)
Atherosclerosis is the underlying cause of cardiovascular diseases and a major threat to human health worldwide. It involves not only accumulation of lipids in the vessel wall but a chronic inflammatory response mediated by highly specific cellular and molecular responses. Macrophages and dendritic cells (DCs) play an essential role in taking up modified lipids and presenting them to T and B lymphocytes, which promote the immune response. Enhanced activation, migration and accumulation of inflammatory cells at the local site leads to formation of atherosclerotic plaques.
Atherosclerotic plaques become hypoxic due to reduced oxygen diffusion and high metabolic demand of accumulated cells. The various immune cells experience hypoxic conditions locally and inflammatory stimuli systemically, thus up-regulating Hypoxia-inducible factor 1α. Though the role of HIF1α in macrophages and lymphocytes has been elucidated, its role in DCs still remains controversial, especially with respect to atherosclerosis. In this project work, the role of HIF1α in DCs was investigated by using a cell specific knockout mouse model where HIF1α was deleted in CD11c+ cells.
Aortic root sections from atherosclerotic mice showed presence of hypoxia and up-regulation of HIF1α which co-localized with CD11c+ cells. Atherosclerotic splenic DCs also displayed enhanced expression of HIF1α, proving non-hypoxic stimulation of HIF1α due to systemic inflammation. Conditional knockout (CKO) mice lacking HIF1α in CD11c+ cells, under baseline conditions did not show changes in immune responses suggesting effects of HIF1α only under inflammatory conditions. When these mice were crossed to the Ldlr-/- line and placed on 8 weeks of high fat diet, they developed enhanced plaques with higher T-cell infiltration as compared to the wild-type (WT) controls. The plaques were of a complex phenotype, defined by increased percent of smooth muscle cells (SMCs) and necrotic core area and reduced percent of macrophages and DCs. The mice also displayed enhanced T-cell activation and a Th1 bias in the periphery.
The CKO DCs themselves exhibited increased expression of IL 12 and a higher capacity to proliferate and polarize naive T cells to the Th1 phenotype in vitro. The DCs also showed decreased expression of STAT3, in line with the inhibitory effects of STAT3 on DC activation seen in previous studies. When STAT3 was overexpressed in DCs in vitro, IL 12 was down-regulated, but its expression increased significantly on STAT3 inhibition using a mutant vector. In addition, when STAT3 was overexpressed in DCs in vivo using a Cre regulated lentiviral system, the mice showed decreased plaque formation compared to controls. Interestingly, the effects of STAT3 modulation were similar in WT and CKO mice, intending that STAT3 lies downstream of HIF1α. Finally, using a chromatin immunoprecipitation assay (ChIP), it was confirmed that HIF1α binds to hypoxia responsive elements (HREs) in the Stat3 gene promoter thus regulating its expression. When DCs lack HIF1α, STAT3 expression is not stimulated and hence IL 12 production by DCs is uninhibited. This excessive IL 12 can activate naive T cells and polarize them to the Th1 phenotype, thereby enhancing atherosclerotic plaque progression.
This project thus concludes that HIF1α restrains DC activation via STAT3 generation and prevents excessive production of IL 12 that helps to keep inflammation and atherosclerosis under check.
RS1 is the intron less singel copy gene involved in regulation of plasme membrane transporters. Ornithine decarboxylase is identified as the receptor of RS1 specific for the release of vesicles containing SGLT1 specifically at the trans-golgi network. RS1 decreases the activity of ODC there by inhibiting the release of vesicles containing specifically SGLT1.
The Riemann zeta-function forms a central object in multiplicative number theory; its value-distribution encodes deep arithmetic properties of the prime numbers. Here, a crucial role is assigned to the analytic behavior of the zeta-function on the so called critical line. In this thesis we study the value-distribution of the Riemann zeta-function near and on the critical line. Amongst others we focus on the following.
PART I: A modified concept of universality, a-points near the critical line and a denseness conjecture attributed to Ramachandra.
The critical line is a natural boundary of the Voronin-type universality property of the Riemann zeta-function. We modify Voronin's concept by adding a scaling factor to the vertical shifts that appear in Voronin's universality theorem and investigate whether this modified concept is appropriate to keep up a certain universality property of the Riemann zeta-function near and on the critical line. It turns out that it is mainly the functional equation of the Riemann zeta-function that restricts the set of functions which can be approximated by this modified concept around the critical line.
Levinson showed that almost all a-points of the Riemann zeta-function lie in a certain funnel-shaped region around the critical line. We complement Levinson's result: Relying on arguments of the theory of normal families and the notion of filling discs, we detect a-points in this region which are very close to the critical line.
According to a folklore conjecture (often attributed to Ramachandra) one expects that the values of the Riemann zeta-function on the critical line lie dense in the complex numbers. We show that there are certain curves which approach the critical line asymptotically and have the property that the values of the zeta-function on these curves are dense in the complex numbers.
Many of our results in part I are independent of the Euler product representation of the Riemann zeta-function and apply for meromorphic functions that satisfy a Riemann-type functional equation in general.
PART II: Discrete and continuous moments.
The Lindelöf hypothesis deals with the growth behavior of the Riemann zeta-function on the critical line. Due to classical works by Hardy and Littlewood, the Lindelöf hypothesis can be reformulated in terms of power moments to the right of the critical line. Tanaka showed recently that the expected asymptotic formulas for these power moments are true in a certain measure-theoretical sense; roughly speaking he omits a set of Banach density zero from the path of integration of these moments. We provide a discrete and integrated version of Tanaka's result and extend it to a large class of Dirichlet series connected to the Riemann zeta-function.
The study of magnetic phases in spintronic materials is crucial to both our fundamental understanding of magnetic interactions and for finding new effects for future applications.
In this thesis, we study the basic electrical and magnetic transport properties of both epitaxially-grown MnSi thin films, a helimagnetic metal only starting to be developed within our group, and parabolic-doped ultra-thin (Ga,Mn)As layers for future studies and applications.
The field of microRNA research has gained enormous significance during recent years. Current studies have shown that microRNAs play an important role in many biological processes via posttranscriptional gene regulation. This also applies for the TLR-mediated recognition of pathogens by immune cells. Among others, the microRNAs miR-132, miR-146a and miR-155 have been characterized by various authors. However, the specific role of microRNAs in the defense against fungal infections by Aspergillus fumigatus has not been investigated so far, although this ubiquitous mold causes severe infections in immuno-compromised patients. As dendritic cells play a pivotal part in the in vivo recognition of A. fumigatus, the present study investigates the reaction of these cells to A. fumigatus and other pathogens on the microRNA level. For this purpose, dendritic cells were incubated with different forms of A. fumigatus and other pathogens for up to twelve hours. Subsequently, the expression of miR-132, miR-146a and miR-155 was quantified by real-time PCR.
Levels of miR-132 in dendritic cells were significantly increased after stimulation with living germ tubes of A. fum, but showed no change after treatment with LPS. Relative expression level of miR-146a was moderately elevated upon stimulation with LPS, but did not respond to co-cultivation with living germ tubes. MiR-155 was highly induced by both stimuli. These results show, that dependent on the stimulus, microRNAs are differentially regulated in dendritic cells. Among the tested microRNAs, miR-155 showed the strongest and most stable expression values. Therefore, further experiments focused on this mircoRNA. It was shown, that the up-regulation of miR-155 is dependent on the germination stage of the fungus. Induction of miR-155 was low with conidia, moderate with hyphae and high with germ tubes. The extent of miR-155 induction also corresponded with the multiplicity of infection (MOI), with higher MOIs triggering a stronger miR-155 response.
These results suggest that miR-132 and miR-155 play an important role in the immunologic reaction of DCs against A. fumigatus and that a further characterization of these microRNA, especially with respect to their specific function in DCs, could contribute to the understanding of the biological mechanisms of Aspergillosis.
This thesis presents the detailed development of the fabrication process and the first observations of artificial magnetic atoms from the II-VI diluted magnetic semiconductor alloy (Zn,Cd,Be,Mn)Se. In order to manufacture the vertical quantum dot device which exhibits artificial atom behavior a number of development steps are conducted. First, the II-VI heterostructure is adjusted for the linear transport regime. Second, state of the art vertical quantum dot fabrication techniques in the III-V material system are investigated regarding their portability to the II-VI heterostructure. And third, new approaches to the fabrication process are developed, taking into account the complexity of the heterostructure and its physical properties. Finally a multi-step fabrication process is presented, which is built up from electron beam and optical lithography, dry and wet etching and insulator deposition. This process allows for the processing of pillars with diameters down to 200 nm with an insulating dielectric and gate. Preliminary transport data on the fabricated vertical quantum dots are presendted confirming the magnetic nature of the resulting artificial atoms.
A large number of metabolic waste products accumulate in the blood of patients with renal failure. Since these solutes have deleterious effects on the biological functions, they are called uremic toxins and have been classified in three groups: 1) small water soluble solutes (MW < 500 Da), 2) small solutes with known protein binding (MW < 500 Da), and 3) middle molecules (500 Da < MW < 60 kDa). Protein bound uremic toxins are poorly removed by conventional hemodialysis treatments because of their high protein binding and high distribution volume. The prototypical protein bound uremic toxins indoxyl sulfate (IS) and p-cresyl sulfate (pCS) are associated with the progression of chronic kidney disease, cardiovascular outcomes, and mortality of patients on maintenance hemodialysis. Furthermore, these two compounds are bound to albumin, the main plasma protein, via electrostatic and/or Van-der-Waals forces. The aim of the present thesis was to develop a dialysis strategy, based on the reversible modification of the ionic strength in the blood stream by increasing the sodium chloride (NaCl) concentration, in order to enhance the removal of protein bound substances, such as IS and pCS, with the ultimate goal to improve clinical patient outcomes. Enhancing the NaCl concentration ([NaCl]) in both human normal and uremic plasma was efficient to reduce the protein bound fraction of both IS and pCS by reducing their binding affinity to albumin. Increasing the ionic strength was feasible during modified pre-dilution hemodiafiltration (HDF) by increasing the [NaCl] in the substitution fluid. The NaCl excess was adequately removed within the hemodialyzer. This method was effective to increase the removal rate of both protein bound uremic toxins. Its ex vivo hemocompatibility, however, was limited by the osmotic shock induced by the high [NaCl] in the substituate. Therefore, modified pre-dilution HDF was further iterated by introducing a second serial cartridge, named the serial dialyzers (SDial) setup. This setting was validated for feasibility, hemocompatibility, and toxin removal efficiency. A better hemocompatibility at similar efficacy was obtained with the SDial setup compared with the modified pre-dilution HDF. Both methods were finally tested in an animal sheep model of dialysis to verify biocompatibility. Low hemolysis and no activation of both the complement and the coagulation systems were observed when increasing the [NaCl] in blood up to 0.45 and 0.60 M with the modified pre-dilution HDF and the SDial setup, respectively. In conclusion, the two dialysis methods developed to transitory enhance the ionic strength in blood demonstrated adequate biocompatibility and improved the removal of protein bound uremic toxins by decreasing their protein bound fraction. The concepts require follow-on clinical trials to assess their in vivo efficacy and their impact on long-term clinical outcomes.
The eminent importance of snow cover for climatic, hydrologic, anthropogenic, and economic reasons has been widely discussed in scientific literature. Up to 50% of the Northern Hemisphere is covered by snow at least temporarily, turning snow to the most prevalent land cover types at all. Depending on regular precipitation and temperatures below freezing point it is obvious that a changing climate effects snow cover characteristics fundamentally. Such changes can have severe impacts on local, national, and even global scale. The region of Central Asia is not an exception from this general rule, but are the consequences accompanying past, present, and possible future changes in snow cover parameters of particular importance. Being characterized by continental climate with hot and dry summers most precipitation accumulates during winter and spring months in the form of snow. The population in this 4,000,000 km² vast area is strongly depending on irrigation to facilitate agriculture. Additionally, electricity is often generated by hydroelectric power stations. A large proportion of the employed water originates from snow melt during spring months, implying that changes in snow cover characteristics will automatically affect both the total amount of obtainable water and the time when this water becomes available. The presented thesis explores the question how the spatial extent of snow covered surface has evolved since the year 1986. This investigation is based on the processing of medium resolution remote sensing data originating from daily MODIS and AVHRR sensors, thus forming a unique approach of snow cover analysis in terms of temporal and spatial resolution. Not only duration but also onset and melt of snow coverage are tracked over time, analyzing for systematic changes within this 26 years lasting time span. AVHRR data are processed from raw Level 1B orbit data to Level 3 thematic snow cover products. Both, AVHRR and MODIS snow maps undergo a further post-processing, producing daily full-area mosaics while completely eliminating inherent cloud cover. Snow cover parameters are derived based on these daily and cloud-free time series, allowing for a detailed analysis of current status and changes. The results confirm the predictions made by coarse resolution predictions from climate models: Central Asian snow cover is changing, posing new challenges for the ecosystem and future water supply. The changes, however, are not aimed at only one direction. Regions with decreasing snow cover exist as well as those where the duration of snow cover increases. A shift towards earlier snow cover start and melt can be observed, posing a serious challenge to water management authorities due to a changed runoff regime.
Multiple sclerosis is an autoimmune disease of the central nervous system characterized by inflammatory, demyelinating lesions and neuronal death. Formerly regarded as a variant of MS, neuromyelitis optica (NMO)/Devic’s disease is now recognized as a distinct neurological disorder exhibiting characteristic inflammatory and demyelinated foci in the optic nerves and the spinal cord sparing the brain. With the introduction of the double-transgenic “Devic mouse” model featuring spontaneous, adjuvant-free incidence of autoimmune neuroinflammation due to the interaction of transgenic MOG-specific T and B cells, a promising tool was found for the analysis of factors triggering or preventing autoimmunity. The co-inhibitory molecule B7-H1 has been proposed to contribute to the maintenance of peripheral tolerance and to confine autoimmune inflammatory damage via the PD-1/B7-H1 pathway. Compared to Devic B7-H1+/+ mice, Devic B7-H1-/- mice developed clinical symptoms with a remarkably higher incidence rate and faster kinetics emphasized by deteriorated disease courses and a nearly quadrupled mortality rate. Remarkably enlarged immune-cell accumulation in the CNS of Devic B7-H1-/- mice, in particular of activated MOG-specific CD4+ T cells, correlated with the more severe clinical features. Our studies showed that the CNS not only was the major site of myelin-specific CD4+ T-cell activation but also that B7-H1 expression within the target organ significantly influenced T-cell activation and differentiation levels. Analysis at disease maximum revealed augmented accumulation of MOG-specific CD4+ T cells in the peripheral lymphoid organs of Devic B7-H1-/- mice partly due to increased T-cell proliferation rates. Transgenic MOG-specific B cells of Devic B7-H1-/- mice activated MOG-specific CD4+ T cells more efficiently than B cells of Devic B7-H1+/+ mice. This observation indicated a relevant immune-modulating role of B7-H1 on APCs (antigen-presenting cells) in this mouse model. We also assumed altered thymic selection processes to be involved in increased peripheral CD4+ T-cell numbers of Devic B7-H1-/- mice as we found more thymocytes expressing the transgenic MOG-specific T-cell receptor (TCR). Moreover, preliminary in vitro experiments hinted on an enhanced survival of TCRMOG-transgenic CD4+ T cells of Devic B7-H1-/- mice; a mechanism that might as well have led to higher peripheral T-cell accumulation. Elevated levels of MOG-specific CD4+ T cells in the periphery of Devic B7-H1-/- mice could have entailed the higher quantities in the CNS. However, mechanisms such as CNS-specific proliferation and/or apoptosis/survival could also have contributed. This should be addressed in future investigations. Judging from in vitro migration assays and adoptive transfer experiments on RAG-1-/- recipient mice, migratory behavior of MOG-specific CD4+ T cells of Devic B7-H1+/+ and Devic B7-H1-/- mice seemed not to differ. However, enhanced expression of the transmigration-relevant integrin LFA-1 on CD4+ T cells in young symptom-free Devic B7-H1-/- mice might hint on temporally differently pronounced transmigration capacities during the disease course. Moreover, we attributed the earlier conversion of CD4+ T cells into Th1 effector cells in Devic B7-H1-/- mice during the initiation phase to the lack of co-inhibitory signaling via PD-1/B7-H1 possibly leading to an accelerated disease onset. Full blown autoimmune inflammatory processes could have masked these slight effects of B7-H1 in the clinical phase. Accordingly, at peak of the disease, Th1 and Th17 effector functions of peripheral CD4+ T cells were comparable in both mouse groups. Moreover, judging from titers of MOG-specific IgG1 and IgM antibodies, alterations in humoral immunity were not detected. Therefore, clinical differences could not be explained by altered T-cell or B-cell effector functions at disease maximum. B7-H1 rather seemed to take inhibitory effect in the periphery during the initiation phase only and consistently within the target organ by parenchymal expression. Our observations indicate that B7-H1 plays a relevant role in the regulation of T-cell responses in this mouse model for spontaneous CNS autoimmunity. By exerting immune-modulating effects in the preclinical as well as the clinical phase of the disease, B7-H1 contributed to the confinement of the immunopathological tissue damage in Devic B7-H1+/+ mice mirrored by later disease onsets and lower disease scores. As a model for spontaneous autoimmunity featuring a close to 100 % incidence rate, the Devic B7-H1-/- mouse may prove instrumental in clarifying disease-triggering and -limiting factors and in validating novel therapeutic approaches in the field of autoimmune neuroinflammation, in particular the human Devic’s disease.
Nitrogen-regulated pathogenesis describes the expression of virulence attributes as direct response to the quantity and quality of an available nitrogen source. As consequence of nitrogen availability, the opportunistic human fungal pathogen Candida albicans changes its morphology and secretes aspartic proteases [SAPs], both well characterized virulence attributes. C. albicans, contrarily to its normally non-pathogenic relative Saccharomyces cerevisiae, is able to utilize proteins, which are considered as abundant and important nitrogen source within the human host. To assimilate complex proteinaceous matter, extracellular proteolysis is followed by uptake of the degradation products through dedicated peptide transporters (di-/tripeptide transporters [PTRs] and oligopeptide transporters [OPTs]). The expression of both traits is transcriptionally controlled by Stp1 - the global regulator of protein utilization - in C. albicans. The aim of the present study was to elucidate the regulation of virulence attributes of the pathogenic fungus C. albicans by nitrogen availability in more detail. Within a genome wide binding profile of Stp1, during growth with proteins, more than 600 Stp1 target genes were identified, thereby confirming its role in the usage of proteins, but also other nitrogenous compounds as nitrogen source. Moreover, the revealed targets suggest an involvement of Stp1 in the general adaption to nutrient availability as well as in the environmental stress response. With the focus on protein utilization and nitrogen-regulated pathogenesis, the regulation of the major secreted aspartic protease Sap2 - additionally one of the prime examples of allelic heterogeneity in C. albicans - was investigated in detail. Thereby, the heterogezygous SAP2 promoter helped to identify an unintended genomic alteration as the true cause of a growth defect of a C. albicans mutant. Additionally, the promoter region, which was responsible for the differential activation of the SAP2 alleles, was delimited. Furthermore, general Sap2 induction was demonstrated to be mediated by distinct cis-acting elements that are required for a high or a low activity of SAP2 expression. For the utilization of proteins as nitrogen source it is also crucial to take up the peptides that are produced by extracellular proteolysis. Therefore, the function and importance of specific peptide transporters was investigated in C. albicans mutants, unable to use peptides as nitrogen source (opt1Δ/Δ opt2Δ/Δ opt3Δ/Δ opt4Δ/Δ opt5Δ/Δ ptr2Δ/Δ ptr22Δ/Δ septuple null mutants). The overexpression of individual transporters in these mutants revealed differential substrate specificities and expanded the specificity of the OPTs to dipeptides, a completely new facet of these transporters. The peptide-uptake deficient mutants were further used to elucidate, whether indeed proteins and peptides are an important in vivo nitrogen source for C. albicans. It was found that during competitive colonization of the mouse intestine these mutants exhibited wild-type fitness, indicating that neither proteins nor peptides are primary nitrogen sources required to efficiently support growth of C. albicans in the mouse gut. Adequate availability of the preferred nitrogen source ammonium represses the utilization of proteins and other alternative nitrogen sources, but also the expression of virulence attributes, like Sap secretion and nitrogen-starvation induced filamentation. In order to discriminate, whether ammonium availability is externally sensed or determined inside the cell by C. albicans, the response to exterior ammonium concentrations of ammonium-uptake deficient mutants (mep1Δ/Δ mep2Δ/Δ null mutants) was investigated. This study showed that presence of an otherwise suppressing ammonium concentration did not inhibit Sap2 proteases secretion and arginine-induced filamentation in these mutants. Conclusively, ammonium availability is primarily determined inside the cell in order to control the expression of virulence traits. In sum, the present work contributes to the current understanding of how C. albicans regulates expression of virulence-associated traits in response to the presence of available nitrogen sources - especially proteins and peptides - in order to adapt its lifestyle within a human host.
In this work, a series of redox cascades was synthesised and investigated in view of their photophysical and electrochemical properties. The cascades are based on a perchlorinated triphenylmethyl radical acceptor and two triarylamine donors. Absorption spectra showed the presence of charge-transfer bands in the NIR range of the spectra, which pointed to the population of a charge-transfer state between a triarylamine donor and the radical acceptor. A weak to moderate emission in the NIR range of the spectra was observed for all compounds in cyclohexane. Spectroelectrochemical measurements were used to investigate the characteristic spectral features of the oxidised and reduced species of all compounds. Transient absorption spectra in the ns- and fs-time regime revealed an additional hole transfer in the cascades between the triarylamine donors, resulting in a charge-separated state. Charge-separation and -recombination processes were found to be located in the ps-time regime.
The present thesis studies the (Ga,Mn)As material in terms of optimization of very thin (4 nm) (Ga,Mn)As layers, epitaxially fabricated by the molecular beam epitaxy (MBE) technology. First of all, the ferromagnetic semiconductor (Ga,Mn)As with its structural, magnetic and electrical properties is introduced. The influences of point defects, interface and surface effects on bulk and thin (Ga,Mn)As layers are discussed by simplified self-consistent band alignment calculations. The experimental part is divided in three blocks: The first part studies the influence of epitaxial growth parameter conditions on electrical and magnetic properties of bulk (70 nm) (Ga,Mn)As layers. The second part introduces an alternative, parabolical Mn doping-profile instead of a 4 nm layer with a homogeneous Mn doping-profile. Improved properties of the parabolic layer have been observed as well as comparable magnetic and electrical properties to bulk (Ga,Mn)As layers, both with a Mn content of 4%. MBE growth parameters for the (Ga,Mn)As layers with a parabolically graded Mn profile and lowered nominal Mn content of 2.5% have been investigated. A narrow growth window has been found in which low-temperature (LT) layer properties are improved. The last part of this thesis presents an application of magnetic anisotropy control of a bulk (Ga,Mn)As layer.
Hyperinsulinemia, a condition with excessively high insulin blood levels, is related to an increased cancer incidence. Diabetes mellitus, metabolic syndrome, obesity and polycystic ovarian syndrome are the most common of several diseases accompanied by hyperinsulinemia. Since an elevated cancer risk especially for colon and kidney cancers, was reported for those patients, we investigated for the first time the induction of genomic damage by insulin mainly in HT29 (human colon cells), LLC-PK1 (pig kidney cells), HK2 (human kidney cells) and peripheral lymphocytes, and to confirm the genotoxicity of insulin in other cells from different tissues. To ascertain that the insulin effects were not only limited to permanent cell lines, rat primary colon, kidney, liver and fatty tissue cells were also studied. To connect the study and the findings to in vivo conditions, two in vivo models for hyperinsulinemia were used; Zucker diabetic fatty rats in a lean and diabetic state infused with different insulin concentrations and peripheral lymphocytes from type 2 diabetes mellitus patients. First, the human colon adenocarcinoma cells (HT29) showed significant elevation of DNA damage using comet assay and micronucleus frequency analysis upon treatment with 5 nM insulin in standard protocols. Extension of the treatment to 6 days lowered the concentration needed to reach significance to 0.5-1 nM. Insulin enhanced the cellular ROS production as examined by the oxidation of the dyes 2´,7´-dichlorodihydrofluorescein diacetate (H2DCF-DA) and dihydroethidium (DHE). The FPG modified comet assay and the reduction of damage by the radical scavenger tempol connected the insulin-mediatedDNA damage to ROS production. To investigate the sources of ROS upon insulin stimulation, apocynin and VAS2870 as NADPH oxidase inhibitors and rotenone as mitochondrial inhibitor were applied in combination with insulin and all of them led to a reduction of the genomic damage. Investigation of the signaling pathway started by evaluation of the binding of insulin to its receptor and to the IGF-1 receptor. The results showed the involvement of both receptors in the signaling mechanism. Following the activation of both receptors, PI3K activation occurs leading to phosphorylation of AKT which in turn activates two pathways for ROS production, the first related to mitochondria and the second through activation of Rac1 , resulting in the activation of Nox1. Both pathways could be activated through AKT or through the mitochondrial ROS which in turn could activates Nox1. Studying another human colon cancer cell line, Caco-2 and rat primary colon cells in vitro confirmed the effect of insulin on cellular chromatin. We conclude that pathophysiological levels of insulin can cause DNA damage in colon cells, which may contribute to the induction or progression of colon cancer. Second, in kidney cells, insulin at a concentration of 5 nM caused a significant increase in DNA damage in vitro. This was associated with the formation of reactive oxygen species (ROS). In the presence of antioxidants, blockers of the insulin and IGF-1 receptors, and a phosphatidylinositol 3-kinases (PI3K) inhibitor, the insulin mediated DNA damage was reduced. Phosphorylation of AKT was increased and p53 accumulated. Inhibition of the mitochondrial and NADPH oxidase related ROS production reduced the insulin mediated damage. In primary rat cells insulin also induced genomic damage. HK2 cells were used to investigate the mechanistic pathway in the kidney The signaling is identical to the one in the colon cells untill the activation of the mitochondrial ROS production, because after the activation of PI3K activation of Nox4 occurs at the same time across talk between mitochondria and Nox4 activation has been suggested and might play a role in the observed effects. In the in vivo model, kidneys from healthy, lean ZDF rats, which were infused with insulin to yield normal or high blood insulin levels, while keeping blood glucose levels constant, the amounts of ROS and p53 were elevated in the high insulin group compared to the control level group. ROS and p53 were also elevated in diabetic obese ZDF rats. The treatment of the diabetic rats with metformin reduced the DNA oxidation measured as 8-oxodG as well as the ROS production in that group. HL60 the human premyelocytic cells and cultured lymphocytes as models for the hemopoietic system cells showed a significant induction for DNA damage upon treatment with insulin. The diabetic patients also exhibited an increase in the micronucleus formation over the healthy individuals. In the present study, we showed for the first time that insulin induced oxidative stress resulting in genomic damage in different tissues, and that the source of the produced ROS differs between the tissues. If the same mechanisms are active in patients, hyperinsulinemia might cause genomic damage through the induction of ROS contributing to the increased cancer risk, against which the use of antioxidants as well as mitochondrial and NADPH oxidase inhibitors might exert protective effects with cancer preventive potential under certain conditions. Normal healthy human plasma insulin concentrations are in the order of 0.04 nM after overnight fasting and increase to less than about 0.2 nM after a meal. Pathophysiological levels can reach 1 nM and can stay above 0.2 nM for the majority of the daytime yielding condictions close to the insulin concentrations determined in the present study. Whether the observed effects also occur in vivo and whether they actually initiate or promote tumor formation remains to be determined. However, if proof of that can be obtained, our experiments with inhibitors indicate chances for pharmacological intervention applying antioxidants or enzyme inhibitors. It will not be the aim to reduce ROS in any case or as much as possible because ROS have now been recognized as important signaling molecules and participatants in immune defense, but a reduction to physiological levels instead of pathophysiological levels in the context of a disease associated with ROS overproduction might be beneficial.
Learning and memory is considered to require synaptic plasticity at presynaptic specializations of neurons. Kenyon cells are the intrinsic neurons of the primary olfactory learning center in the brain of arthropods – the mushroom body neuropils. An olfactory mushroom body memory trace is supposed to be located at the presynapses of Kenyon cells. In the calyx, a sub-compartment of the mushroom bodies, Kenyon cell dendrites receive olfactory input provided via projection neurons. Their output synapses, however, were thought to reside exclusively along their axonal projections outside the calyx, in the mushroom body lobes. By means of high-resolution imaging and with novel transgenic tools, we showed that the calyx of the fruit fly Drosophila melanogaster also comprised Kenyon cell presynapses. At these presynapses, synaptic vesicles were present, which were capable of neurotransmitter release upon stimulation. In addition, the newly identified Kenyon cell presynapses shared similarities with most other presynapses: their active zones, the sites of vesicle fusion, contained the proteins Bruchpilot and Syd-1. These proteins are part of the cytomatrix at the active zone, a scaffold controlling synaptic vesicle endo- and exocytosis. Kenyon cell presynapses were present in γ- and α/β-type KCs but not in α/β-type Kenyon cells.
The newly identified Kenyon cell derived presynapses in the calyx are candidate sites for an olfactory associative memory trace. We hypothesize that, as in mammals, recurrent neuronal activity might operate for memory retrieval in the fly olfactory system.
Moreover, we present evidence for structural synaptic plasticity in the mushroom body calyx. This is the first demonstration of synaptic plasticity in the central nervous system of Drosophila melanogaster. The volume of the mushroom body calyx can change according to changes in the environment. Also size and numbers of microglomeruli - sub-structures of the calyx, at which projection neurons contact Kenyon cells – can change. We investigated the synapses within the microglomeruli in detail by using new transgenic tools for visualizing presynaptic active zones and postsynaptic densities. Here, we could show, by disruption of the projection neuron - Kenyon cell circuit, that synapses of microglomeruli were subject to activity-dependent synaptic plasticity. Projection neurons that could not generate action potentials compensated their functional limitation by increasing the number of active zones per microglomerulus. Moreover, they built more and enlarged microglomeruli. Our data provide clear evidence for an activity-induced, structural synaptic plasticity as well as for the activity-induced reorganization of the olfactory circuitry in the mushroom body calyx.
The DREAM complex plays an important role in regulation of gene expression during the cell cycle. It was previously shown that the DREAM subunits LIN9 and B-MYB are required for early embryonic development and for the maintenance of the inner cell mass in vitro. In this work the effect of LIN9 or B-MYB depletion on embryonic stem cells (ESC) was examined. It demonstrates that LIN9 and B-MYB knock down changes the cell cycle distribution of ESCs and results in an accumulation of cells in G2 and M and in an increase of polyploid cells. By using genome-wide expression studies it was revealed that the depletion of LIN9 leads to downregulation of mitotic genes and to upregulation of differentiation-specific genes. ChIP-on chip experiments determined that mitotic genes are direct targets of LIN9 while lineage specific markers are regulated indirectly. Importantly, depletion of LIN9 does not alter the expression of the pluripotency markers Sox2 and Oct4 and LIN9 depleted ESCs retain alkaline phosphatase activity. I conclude that LIN9 is essential for proliferation and genome stability of ESCs by activating genes with important functions in mitosis and cytokinesis. The exact molecular mechanisms behind this gene activation are still unclear as no DREAM subunit features a catalytically active domain. It is assumed that DREAM interacts with other proteins or co-factors for transcriptional activation. This study discovered potential binding proteins by combining in vivo isotope labeling of proteins with mass spectrometry
(MS) and further analysed the identified interaction of the tight junction protein ZO-2 with DREAM which is cell cycle dependent and strongest in S-phase. ZO-2 depletion results in reduced cell proliferation and decreased G1 gene expression. As no G2/M genes, typical DREAM targets, are affected upon ZO-2 knock down, it is unlikely that ZO-2 binding is needed for a functional DREAM complex. However, this work demonstrates that with (MS)-based quantitative proteomics, DREAM interacting proteins can be identified which might help to elucidate the mechanisms underlying DREAM mediated gene activation.
Over the last decades, lithium-ion batteries have grown more important and substituted other energy storage systems. Due to advantages such as high energy density and low self-discharge, the lithium-ion battery has taken its part in the rechargeable energy storage market, and it is now found in most laptops, cameras and mobile phones. With the increasing demands for electrical vehicles and stationary energy storage systems, there is a necessity for improved lithium-ion battery materials.
In this thesis several alternative electrode materials have been examined with a main focus on the electrochemical characterisation. As an alternative to the commercial cathode LiCoO2, the LiMn2O4 cathode has been suggested due to its reduced toxicity, material abundance, reduced costs and increased specific capacity. On the anode side, several Sn-containing anodes have been investigated and steps to overcome the main challenge, the great volume expansion upon cycling, have been taken. In addition, a novel anode material group was synthesised at the University of Marburg and two substances of the lithium chalcogenidometalate networks were successfully characterised.
The cathode material, LiMn2O4, was synthesised via the sol-gel technique and several coating methods such as dip-coating, electrophoretics and infiltration were investigated. The LiMn2O4 material was initially coated on a porous metal foam as a current collector, thus providing new possibilities as the porosity of the substrate increased, mechanical stability and adhesion improved and a 3-dimensional network was obtained. In order to compare the results of the LiMn2O4 cathode material on the novel current collector, the material was also coated on a standard metallic foil and characterised. The analysis followed via X-ray diffraction, electron microscopy, thermogravimetrical analysis and several electrochemical techniques.
Tin containing anode materials were chosen due to the doubling of the theoretical capacity compared with the commercially used graphite. However, a great challenge lies with using tin or tin-containing anode materials. Upon lithiation of Sn, the material can expand up to 300 %, therefore a stabilising effect is necessary to avoid a collapse of the material. This work shows several new concepts and attempts to overcome this challenge, including SnO2 nanowires deposited via chemical vapour deposition on both metallic foam and standard current collectors. A new improvement consisted of the tin - carbon nanofibers where the nanofibers form a
stabilising matrix that can partially buffer the volume change of the Sn particles. The synthesis of the Sn-containing anodes took place at the University of Cologne, while characterisation, cell preparation and optimising the electrode system were features of this thesis.
In addition, a lithium chalcogenidometalate network proved to be an interesting, new anode material group. Both Li4MnSn2Se7 and Li4MnGe2S7 (synthesised at Philipps-Universität Marburg) were electrochemically examined to better understand the lithiation processes. Both materials obtained very high specific capacities and were found to be possible alternatives to the state-of-the art anodes. All the examined electrode materials were found to have some advantage over the commercially used LiCoO2 and graphite electrodes, and a thorough characterization of the materials was performed to understand the processes that took place.
Irrigated agriculture in the Khorezm region in the arid inner Aral Sea Basin faces enormous challenges due to a legacy of cotton monoculture and non-sustainable water use. Regional crop growth monitoring and yield estimation continuously gain in importance, especially with regard to climate change and food security issues. Remote sensing is the ideal tool for regional-scale analysis, especially in regions where ground-truth data collection is difficult and data availability is scarce. New satellite systems promise higher spatial and temporal resolutions. So-called light use efficiency (LUE) models are based on the fraction of photosynthetic active radiation absorbed by vegetation (FPAR), a biophysical parameter that can be derived from satellite measurements. The general objective of this thesis was to use satellite data, in conjunction with an adapted LUE model, for inferring crop yield of cotton and rice at field (6.5 m) and regional (250 m) scale for multiple years (2003-2009), in order to assess crop yield variations in the study area. Intensive field measurements of FPAR were conducted in the Khorezm region during the growing season 2009. RapidEye imagery was acquired approximately bi-weekly during this time. The normalized difference vegetation index (NDVI) was calculated for all images. Linear regression between image-based NDVI and field-based FPAR was conducted. The analyses resulted in high correlations, and the resulting regression equations were used to generate time series of FPAR at the RapidEye level. RapidEye-based FPAR was subsequently aggregated to the MODIS scale and used to validate the existing MODIS FPAR product. This step was carried out to evaluate the applicability of MODIS FPAR for regional vegetation monitoring. The validation revealed that the MODIS product generally overestimates RapidEye FPAR by about 6 to 15 %. Mixture of crop types was found to be a problem at the 1 km scale, but less severe at the 250 m scale. Consequently, high resolution FPAR was used to calibrate 8-day, 250 m MODIS NDVI data, this time by linear regression of RapidEye-based FPAR against MODIS-based NDVI. The established FPAR datasets, for both RapidEye and MODIS, were subsequently assimilated into a LUE model as the driving variable. This model operated at both satellite scales, and both required an estimation of further parameters like the photosynthetic active radiation (PAR) or the actual light use efficiency (LUEact). The latter is influenced by crop stress factors like temperature or water stress, which were taken account of in the model. Water stress was especially important, and calculated via the ratio of the actual (ETact) to the potential, crop-specific evapotranspiration (ETc). Results showed that water stress typically occurred between the beginning of May and mid-September and beginning of May and end of July for cotton and rice crops, respectively. The mean water stress showed only minor differences between years. Exceptions occurred in 2008 and 2009, where the mean water stress was higher and lower, respectively. In 2008, this was likely caused by generally reduced water availability in the whole region. Model estimations were evaluated using field-based harvest information (RapidEye) and statistical information at district level (MODIS). The results showed that the model at both the RapidEye and the MODIS scale can estimate regional crop yield with acceptable accuracy. The RMSE for the RapidEye scale amounted to 29.1 % for cotton and 30.4 % for rice, respectively. At the MODIS scale, depending on the year and evaluated at Oblast level, the RMSE ranged from 10.5 % to 23.8 % for cotton and from -0.4 % to -19.4 % for rice. Altogether, the RapidEye scale model slightly underestimated cotton (bias = 0.22) and rice yield (bias = 0.11). The MODIS-scale model, on the other hand, also underestimated official rice yield (bias from 0.01 to 0.87), but overestimated official cotton yield (bias from -0.28 to -0.6). Evaluation of the MODIS scale revealed that predictions were very accurate for some districts, but less for others. The produced crop yield maps indicated that crop yield generally decreases with distance to the river. The lowest yields can be found in the southern districts, close to the desert. From a temporal point of view, there were areas characterized by low crop yields over the span of the seven years investigated. The study at hand showed that light use efficiency-based modeling, based on remote sensing data, is a viable way for regional crop yield prediction. The found accuracies were good within the boundaries of related research. From a methodological viewpoint, the work carried out made several improvements to the existing LUE models reported in the literature, e.g. the calibration of FPAR for the study region using in situ and high resolution RapidEye imagery and the incorporation of crop-specific water stress in the calculation.
All animal and plant species must disperse in order to survive. Although this fact may seem trivial, and the importance of the dispersal process is generally accepted, the eco-evolutionary forces influencing dispersal, and the underlying movement elements, are far from being comprehensively understood. Beginning in the 1950s scientists became aware of the central role of dispersal behaviour and landscape connectivity for population viability and species diversity. Subsequently, dispersal has mainly been studied in the context of metapopulations. This has allowed researchers to take into account the landscape level, e.g. for determining conservation measures. However, a majority of theses studies classically did not include dispersal evolution. Yet, it is well known that dispersal is subject to evolution and that this process may occur (very) rapidly, i.e. over short ecological time-scales. Studies that do take dispersal evolution into account, mostly focus on eco-evolutionary forces arising at the level of populations - intra-specific competition or Allee effects, for example - and at the level of landscapes - e.g. connectivity, patch area and fragmentation. Yet, relevant ecological and evolutionary forces can emerge at all levels of biological complexity, from genes and individuals to populations, communities and landscapes. Here, I focus on eco-evolutionary forces arising at the gene- and especially at the individual level. Combining individual-based modelling and empirical field work, I explicitly analyse the influence of mobility trade-offs and information use for dispersal decisions - i.e. individual level factors - during the three phases of dispersal - emigration, transfer and immigration. I additionally take into account gene level factors such as ploidy, sexual reproduction (recombination) and dominance. Mobility-fertility trade-offs may shape evolutionarily stable dispersal strategies and lead to the coexistence of two or more dispersal strategies, i.e. polymorphisms and polyphenisms. This holds true for both dispersal distances (chapter 3) and emigration rates (chapter 4). In sessile organisms - such as trees or corals - maternal investment, i.e. transgenerational trade-offs between maternal fertility and propagule dispersiveness, can be the cause of bimodal and fat-tailed dispersal kernels. However, the coexistence of two or more dispersal strategies may be critically dependent on gene level factors, such as ploidy or dominance (chapter 4). Passively dispersing individuals may realize such multimodal dispersal kernels by mixing different dispersal vectors. Active choice of these vectors allows to optimize the kernel. As most animals have evolved some kind of memory and sensory apparatus - chemical, acoustic or optical sensors - it is obvious that these capacities should be used for dispersal decisions. Chapter 5 explores the use of chemical cues for vector choice in passively dispersed animals. I find that the neotropical phoretic flower mites Spadiseius calyptrogynae non-randomly mix different dispersal vectors, i.e. one short- and one long-distance disperser, in order to achieve fat-tailed dispersal kernels. Such kernels allow an optimal exploitation of patchily distributed habitats. In addition, this strategy increases the probability of successful immigration as the short-distance dispersal vectors show directed dispersal towards suitable habitats. Results from individual-based simulations support and explain my empirical findings. The use of memory and sensory apparatus in dispersal is also the main topic of chapter 6 which strives to bridge the gap between dispersal and movement ecology. In this part of my thesis I develop a model of non-random, memory-based animal movement strategies. Extending the movement ecology paradigm of Nathan (2008a) I postulate that four elements may be relevant for the emergence of efficient movement strategies: perception, memory, inference and anticipation. Movement strategies including these four elements optimize search efficiency at two scales: within patches and between patches. This leads to a significantly increased search efficiency over a comparable area restricted search strategy. These four chapters are completed by a general analysis of metapopulation dynamics (chapter 2). I find that although the metapopulation concept is very popular in theoretical ecology, classical metapopulations can be predicted to be rare in nature, as suggested by lacking empirical evidence. This is especially the case when gene level factors, such as ploidy and sex, are taken into account. In summary, my work analyses the effects of ecological and evolutionary forces arising at the gene- and individual level on the evolution of dispersal and movement strategies. I highlight the importance of including these limiting factors, mechanisms and processes and show how they impact the evolution of dispersal in spatially structured populations. All chapters demonstrate that these forces may have dramatic effects on resulting ecological and evolutionary dynamics. If we intend to understand animal and plant dispersal or movement, it is crucial to include eco-evolutionary forces emerging at all levels of complexity, from genes to communities and landscapes. This endeavour is certainly not purely academic. Particularly nowadays, with rapidly changing landscape structures and anticipated drastic shifts of climatic zones due to global change, dispersal is a factor that cannot be overestimated.
Besides established, conventional inorganic photovoltaics—mainly based on silicon—organic photovoltaics (OPV) are well on the way to represent a lowcost, environment friendly, complementary technology in near future. Production costs, solar cell lifetime and performance are the relevant factors which need to be optimized to enable a market launch of OPV. In this work, the efficiency of organic solar cells and their limitation due to charge carrier recombination are investigated. To analyze solar cells under operating conditions, time-resolved techniques such as transient photovoltage (TPV), transient photocurrent (TPC) and charge extraction (CE) are applied in combination with time delayed collection field (TDCF) measurements. Solution processed and evaporated samples of different material composition and varying device architectures are studied. The standard OPV reference system, P3HT:PC61BM, is analyzed for various temperatures in terms of charge carrier lifetime and charge carrier density for a range of illumination intensities. The applicability of the Shockley Equation for organic solar cells is validated in case of field-independent charge photogeneration. In addition, a consistent model is presented, directly relating the ideality factor to the recombination of free with trapped charge carriers in an exponential density of states. An approach known as j=V reconstruction enables to identify the performance limiting loss mechanism of as-prepared and thermally treated P3HT:PC61BM solar cells. This procedure, involving TPV, CE and TDCF measurements, is extended to samples based on the rather new, low-band gap polymer PTB7 in combination with PC71BM. While in the devices processed from pure chlorobenzene solution considerable geminate and nongeminate losses are observed, the use of a solvent additive facilitates efficient polaron pair dissociation minimizing geminate recombination. Finally, in collaboration with the IMEC institute in Leuven, the two main organic solar cell device architectures, planar and bulk heterojunction—both based on CuPc and C60—are directly compared in terms of nongeminate recombination and charge carrier distribution. Two experimental techniques, TPV and CE, as well as a macroscopic device simulation are applied to reveal the origin of different Voc vs. light intensity dependence.
Attention-Deficit/Hyperactivity Disorder (ADHD) endophenotypes as a link between phenotype and genotype were the focus of the present work. Candidate endophenotypes were investigated via neuropsychological tasks during the simultaneous recording of a 21-channel electroencephalogram. Since endophenotypes are assumed to more closely reflect genetic variation, the influence of ADHD-associated genes Catechol-O-methyl transferase (COMT), the dopamine transporter (DAT, SLC6A3) and Latrophilin-3 (LPHN3) was analysed. Response inhibition was assessed with a cued Continuous Performance Test, for working memory we used an n-back task, sensory gating was measured via the paired clicks paradigm and response time variability (RTV) was quantified by the standard deviation of reaction times. The sample comprised medicated (N=36) and unmedicated (N=42) ADHD patients and matched control children and adolescents (N=41). The electrophysiological correlate of response inhibition was the centroid location during response execution and inhibition, and the degree of anteriorization (NGA). Sensory gating reflects the attenuation of the P50 response to the second of two auditory stimuli presented in short succession. Working memory was examined during target and non-target trials, reflecting specific information processing stages: early sensory processing (P100 and N100), selection of material (P150), memory retrieval (N300), event categorization (P300) and updating of working memory content (P450). Performance was quantified in terms of omission errors reflecting inattention and false alarms reflecting impulsivity, as well as speed and variability of reactions. Unmedicated ADHD patients had more omission errors and more variable reaction times, pointing to difficulties with attention and state regulation. NGA did not prove an optimal endophenotype candidate, since it was not yet developed in approximately half of the examined children and adolescents. It was independent of diagnosis; however ADHD risk alleles for DAT conferred lower NGA as well as more variable reaction times across groups. DAT genotype interacted with diagnosis on the level of centroid location, however, it did not manifest in performance deficits. In the case of sensory gating, homozygosity for the DAT allele associated with ADHD (10R) conferred impairment. ADHD was only relevant in participants without genetic risk, where patients without medication struggled most with suppression. In the working memory task, DAT modulated the timing of material selection in interaction with cognitive load and diagnosis: under high load unmedicated patients showed delayed responses, while under low load risk carriers on medication had faster responses than controls. Early processing and event-categorization were stronger in unmedicated ADHD with risk genotype, but dampened without risk. An interesting trend emerged for LPHN3, where carrying all risk variants was associated with higher NGA in ADHD patients irrespective of medication. This warrants further study, as the haplotype also exerts a positive influence on sensory gating specifically in patients. At the same time within the genetic risk group, unmedicated patients had the weakest NGA. However, the LPHN3 risk haplotype effected more posterior Go centroids, putatively facilitating response execution, which is supported by a higher number of false alarms. When inhibition was required, the risk variants led to more posterior centroids in unmedicated compared to medicated patients as well as controls, speaking to differences in inhibition-related brain activation. While as expected the risk haplotype led to compromised gating in unmedicated ADHD, this was reversed in healthy controls where the haplotype was acting in a protective manner with enhanced filtering. During working memory operations, the risk haplotype showed stronger N300 responses suggesting investment of more resources. While COMT did not exert an influence on NGA directly, carriers of the risk allele (met) had more posterior centroids both during response execution and inhibition, and displayed more variable responses in addition to being more prone to false alarms. Unmedicated patients produced smaller P300 during successful execution of responses than controls in absence of the risk allele, while with risk they had shorter latencies and presumably tend towards premature reactions. Additionally, it brought out impairments in sensory gating, thus making unmedicated patients less able to filter out irrelevant information, while they were able to compensate with the protective genotype. The influence of COMT on sensory gating seems to be specific for ADHD, as this gene was of no consequence in healthy controls. In the working memory task, met was beneficial for updating as reflected by P450 amplitude. In ADHD irrespective of medication COMT did not change P450 strength, but for controls this effect was observed.
Sustained anxiety is considered as a chronic and future-oriented state of apprehension that does not belong to a specific object. It is discussed as an important characteristic of anxiety disorders including panic disorder, generalized anxiety disorder (GAD) and posttraumatic stress disorder (PTSD). Experimentally, sustained anxiety can be induced by contextual fear conditioning in which aversive events are unpredictably presented and therefore the whole context becomes associated with the threat. This thesis aimed at investigating important mechanisms in the development and maintenance of sustained anxiety: (1) facilitated acquisition and resistant extinction of contextual anxiety due to genetic risk factors (Study 1), and (2) the return of contextual anxiety after successful extinction using a new reinstatement paradigm (Study 2). To this end, two contextual fear conditioning studies were conducted in virtual reality (VR). During acquisition one virtual office was paired with unpredictable mildly painful electric stimuli (unconditioned stimulus, US), thus becoming the anxiety context (CXT+). Another virtual office was never paired with any US, thus becoming the safety context (CXT-). Extinction was conducted 24 h later, i.e. no US was presented, and extinction recall was tested another 24 h later on Day 3. In both studies context-evoked anxiety was measured on three different response levels: behavioral (anxiety-potentiated startle reflex), physiological (skin conductance level), and verbal (explicit ratings). In Study 1, participants were stratified for 5-HTTLPR (S+ risk allele vs. LL no risk allele) and NPSR1 rs324981 (T+ risk allele vs. AA no risk allele) polymorphisms, resulting in four combined genotype groups with 20 participants each: S+/T+, S+/LL, LL/T+, and LL/AA. Results showed that acquisition of anxiety-potentiated startle was influenced by a gene × gene interaction: only carriers of both risk alleles (S+ carriers of the 5-HTTLPR and T+ carriers of the NPSR1 polymorphism) exhibited significantly higher startle magnitudes in CXT+ compared to CXT-. However, extinction recall as measured with anxiety-potentiated startle was not affected by any genotype. Interestingly, the explicit anxiety level, i.e. valence and anxiety ratings, was only influenced by the NPSR1 genotype, in a way that no risk allele carriers (AA) reported higher anxiety and more negative valence in response to CXT+ compared to CXT-, whereas risk allele carriers (T+) did not. Study 2 adopted nearly the same paradigm with the modification that one group (reinstatement group) received one unsignaled US at the beginning of the experimental session on Day 3 before seeing CXT+ and CXT-. The second group served as a control group and received no US, but was immediately exposed to CXT+ and CXT-. Results showed a return of anxiety on the implicit and explicit level (higher startle responses and anxiety ratings in response to CXT+ compared to CXT-) in the reinstatement group only. Most important, the return of contextual anxiety in the reinstatement group was associated with a change of state anxiety and mood from extinction to test, that is the more anxiety and negative mood participants experienced before the reinstatement procedure, the higher their return of anxiety was. In sum, results of Study 1 showed that facilitated contextual fear conditioning on an implicit behavioral level (startle response) could be regarded as an endophenotype for anxiety disorders, which can contribute to our understanding of the etiology of anxiety disorders. Results of Study 2 imply that anxiety and negative mood after extinction could be an important facilitator for the return of anxiety. Furthermore, the present VR-based contextual fear conditioning paradigm seems to be an ideal tool to experimentally study mechanisms underlying the acquisition and the return of anxiety. Future studies could investigate clinical samples and extend the VR paradigm to evolutionary-relevant contexts (e.g., heights, darkness, open spaces).
The neuronal ceroid lipofuscinoses (NCLs) are fatal neurodegenerative disorders in which the visual system is affected in early stages of disease. A typical accompanying feature is neuroinflammation, the pathogenic impact of which is presently unknown. In this study, the role of inflammatory cells in the pathogenesis was investigated in Palmitoyl-protein thioesterase 1-deficient (Ppt1-/-) and Ceroidlipofuscinosis, neuronal 3-deficient (Cln3-/-) mice, models of the infantile and juvenile forms of NCL, respectively. Focusing predominantly on the visual system, an infiltration of CD8+ cytotoxic Tlymphocytes and an activation of microglia/macrophage-like cells was observed early in disease. To analyze the pathogenic impact of lymphocytes, Ppt1-/- mice were crossbred with mice lacking lymphocytes (Rag1-/-) and axonal transport, perturbation and neuronal survival were scored. Lack of lymphocytes led to a significant amelioration of neuronal disease and reconstitution experiments revealed a crucial role of CD8+ cytotoxic T-lymphocytes. Lack of lymphocytes also caused an improved clinical phenotype and extended longevity. To investigate the impact of microglia/macrophage-like cells, Ppt1-/- and Cln3-/- mice were crossbred with mice lacking sialoadhesin (Sn-/-), a monocyte lineage-restricted cell adhesion molecule important for interactions between macrophage-like cells and lymphocytes. Similar to the lack of lymphocytes, absence of sialoadhesin significantly ameliorated the disease in Ppt1-/- and Cln3-/- mice. Taken together, both T-lymphocytes and microglia/macrophage-like cells were identified as pathogenic mediators in two distinct forms of fatal inherited neurodegenerative storage disorders. These studies expand the concept of secondary inflammation as a common pathomechanistic feature in some neurological diseases and provide novel insights that may be crucial for developing treatment strategies for different forms of NCL.
In summary, it can be stated that the herein studied set of acceptor-substituted squaraine dyes can be seen as potent candidates for OTFTs. Furthermore, their transistor performance can be easily tuned to obtain hole mobilities up to 0.45 cm2/Vs from solution and 1.3 cm2/Vs from sublimation by choosing adequate deposition techniques. In the end, a probable structural model derived from studies of the thin-film morphology by methods such as optical spectroscopy, AFM and X-ray even facilitated the clarification of the observed charge transport behavior.
Radiation therapy today, on account of improvements in treatment procedures over the last 60 years, allows precise treatment of static tumors inside the human body. However, irradiation of moving tumors is still a challenging task as moving tumors often leave the treatment beam and the radiation dose delivered to the tumor reduces simultaneously increasing that on healthy tissue. This research work aims to push the frontiers of radiation therapy in order to enable precise treatment of moving tumors with focus on research and development of a unique real-time system enabling active motion compensation through robotic means to compensate tumor motion. During treatment, patients lie on a treatment couch which is normally used for static position corrections of patient set-up errors prior to radiation treatment. The treatment couch used, called HexaPOD, is a parallel manipulator with six degrees of freedom which can precisely position heavy loads inside a small region. Despite the HexaPOD not initially built with dynamics in mind, it is used in this work for sustained motion compensation by moving patients such that tumors stay precisely located at the center of the treatment beam during the complete course of treatment. In order to realize real-time tumor motion compensation by means of the HexaPOD, several challanges need to be addressed. Real-time aspects are covered by the adoption of a hard real-time operation system in combination with measurement and estimation of latencies of all physical quantities in the compensation system such as tumor or breathing position measurements. Accurate timing information is respected consistently in the whole system and all software-induced latencies are adaptively compensated for. This requires knowledge of future tumor positions from predictors. Several predictors for breathing and tumor motion predictions are proposed and evaluated in terms of a variety of different performance metrics. Extensions to prediction algorithms are introduced fusing both breathing and tumor position information to allow for predictions without the need of an explicit correlation model. Predictions determine the future motion path of the HexaPOD in order to compensate for tumor motion. Several control schemes are developed to enable reference tracking for the HexaPOD. Based on linear and non-linear dynamic modelling of the HexaPOD with system identification methods, a first controller is derived in the form of a model predictive controller. A second controller is proposed based on an assumption of the working principle of the HexaPOD's internal controller. Finally, a third controller is derived as combination of the first and second one. For each of these controllers, comparative results with real hardware experiments and humans in the loop as well as choices of free parameters are presented and discussed. Apart from precise tracking, emphasis is placed on patient comfort which is of crucial importance for acceptance of the system. It is demonstrated that smooth trajectories can be realized by the controllers to guarantee that patients feel comfortable while their tumor motion is compensated at sub-millimeter accuracies. Overall errors of the system are analyzed by relating them to tracking and prediction errors. By exploiting the properties of different predictors, it is shown that the startup time until tracking is reached can be reduced to only a few seconds, even in the case of an initially at-rest HexaPOD and with no initial knowledge of tumor motion. This makes the system especially suitable for the relatively short-fractionated treatment sessions for lung tumors. The tumor motion compensation system has been developed solely based on standard clinical hardware, found in most treatment rooms. With a simple and flexible design, existing treatment can be updated in a cost-efficient way to introduce motion compensation capabilities. Simultaneously, the system does not impose any constraints on state-of-the-art treatment types such as intensity modulated radiotherapy or volumetric modulated arc therapy. Supporting different compensation modes, the system can be applied to any moving tumor whether its motion is predictable (lung tumors) or unpredictable (prostate tumors). By integration of adequate tumor position determination methods, the system can be easily extended to other tumors as well.
Traditionally, ischemic stroke has been regarded as the mere consequence of cessation of cerebral blood flow, e.g. due to the thromboembolic occlusion of a major brain supplying vessel. However, the simple restoration of blood flow via thrombolysis and/or mechanical recanalization alone often does not guarantee a good functional outcome. It appears that secondary detrimental processes are triggered by hypoxia and reoxygenation, which are referred to as ischemia/reperfusion (I/R) injury. During recent years it became evident that, beside thrombosis inflammation and edema formation are key players in the pathophysiology of cerebral ischemia. The contact-kinin system represents an interface between thrombotic, inflammatory and edematous circuits. It connects the intrinsic coagulation pathway with the plasma kallikrein-kinin system (KKS) via coagulation factor FXII.
The serine protease inhibitor C1-inhibitor (C1-INH) has a wide spectrum of inhibitory activities and counteracts activation of the contact-kinin system at multiple levels. The first part of the thesis aimed to multimodally interfere with infarct development by C1-INH and to analyze modes of actions of human plasma derived C1-INH Berinert® P in a murine model of focal cerebral ischemia. It was shown that C57BL/6 mice following early application of 15.0 units (U) C1-INH, but not 7.5 U developed reduced brain infarctions by ~60% and less neurological deficits in the model of transient occlusion of the middle cerebral artery (tMCAO). This protective effect was preserved at more advanced stages of infarction (day 7), without increasing the risk of intracerebral bleeding or affecting normal hemostasis. Less neurological deficits could also be observed with delayed C1-INH treatment, whereas no improvement was achieved in the model of permanent MCAO (pMCAO). Blood-brain-barrier (BBB) damage, inflammation and thrombosis were significantly improved following 15.0 U C1-INH application early after onset of ischemia. Based on its strong antiedematous, antiinflammatory and antithrombotic properties C1-INH constitutes a multifaceted therapeutic compound that protects from ischemic neurodegeneration in ‘clinically meaningful’ settings.
The second part of the thesis addresses the still elusive functional role of macrophages in the early phase of stroke, especially the role of the macrophage-specific adhesion molecule sialoadhesin (Sn). For the first time, sialoadhesin null (Sn-/-) mice, homozygous deficient for Sn on macrophages were subjected to tMCAO to assess the clinical outcome. Neurological and motor function was significantly improved in Sn-/- mice on day 1 after ischemic stroke compared with wildtype (Sn+/+) animals. These clinical improvements were clearly detectable even on day 3 following tMCAO. Infarctions on day 1 were roughly the same size as in Sn+/+ mice and did not grow until day 3. No intracerebral bleeding could be detected at any time point of data acquisition. Twenty four hours after ischemia a strong induction of Sn was detectable in Sn+/+ mice, which was previously observed only on perivascular macrophages in the normal brain. Deletion of Sn on macrophages resulted in less disturbance of the BBB and a reduced number of CD11b+ (specific marker for macrophages/microglia) cells, which, however, was not associated with altered expression levels of inflammatory cytokines. To further analyze the function of macrophages following stroke this thesis took advantage of LysM-Cre+/-/IKK2-/- mice bearing a nuclear factor (NF)-ϰB activation defect in the myeloid lineage, including macrophages. Consequently, macrophages were not able to synthesize inflammatory cytokines under the control of NF-ϰB. Surprisingly, infarct sizes and neurological deficits upon tMCAO were roughly the same in conditional knockout mice and respective wildtype littermates. These findings provide evidence that macrophages do not contribute to tissue damage and neurological deficits, at least, not by release of inflammatory cytokines in the early phase of cerebral ischemia. In contrast, Sn which is initially expressed on perivascular macrophages and upregulated on macrophages/microglia within the parenchyma following stroke, influenced functional outcome.
Oncolytic virotherapy represents a promising approach to revolutionize cancer therapy. Several preclinical and clinical trials display the safety of oncolytic viruses as wells as their efficiency against solid tumors. The development of complementary diagnosis and monitoring concepts as well as the optimization of anti-tumor activity are key points of current virotherapy research. Within the framework of this thesis, the diagnostic and therapeutic prospects of beta-glucuronidase expressed by the oncolytic vaccinia virus strain GLV-1h68 were evaluated. In this regard, a beta-glucuronidase-based, therapy-accompanying biomarker test was established which is currently under clinical validation. By using fluorescent substrates, the activity of virally expressed beta-glucuronidase could be detected and quantified. Thereby conclusions about the replication kinetics of oncolytic viruses in animal models and virus-induced cancer cell lysis could be drawn. These findings finally led to the elaboration and establishment of a versatile biomarker assay which allows statements regarding the replication of oncolytic viruses in mice based on serum samples. Besides the analysis of retrospective conditions, this test is able to serve as therapy-accompanying monitoring tool for virotherapy approaches with beta-glucuronidase-expressing viruses. The newly developed assay also served as complement to routinely used plaque assays as well as reference for virally expressed anti-angiogenic antibodies in additional preclinical studies. Further validation of this biomarker test is currently taking place in the context of clinical trials with GL-ONC1 (clinical grade GLV-1h68) and has already shown promising preliminary results. It was furthermore demonstrated that fluorogenic substrates in combination with beta-glucuronidase expressed by oncolytic viruses facilitated the optical detection of solid tumors in preclinical models. In addition to diagnostic purposes, virus-encoded enzymes could also be combined with prodrugs resulting in an improved therapeutic outcome of oncolytic virotherapy. In further studies, the visualization of virus-induced immune reactions as well as the establishment of innovative concepts to improve the therapeutic outcome of oncolytic virotherapy could be accomplished. In conclusion, the results of this thesis provide crucial findings about the influence of virally expressed beta-glucuronidase on various diagnostic concepts in the context of oncolytic virotherapy. In addition, innovative monitoring and therapeutic strategies could be established. Our preclinical findings have important clinical influence, particularly by the development of a therapy-associated biomarker assay which is currently used in different clinical trials.
Platelet activation and aggregation at sites of vascular injury are essential processes to limit blood loss but they also contribute to arterial thrombosis, which can lead to myocardial infarction and stroke. Stable thrombus formation requires a series of events involving platelet receptors which contribute to adhesion, activation and aggregation of platelets. Regulation of receptor expression by (metallo-)proteinases has been described for several platelet receptors, but the molecular mechanisms are ill-defined. The signaling lymphocyte activation molecule (SLAM) family member CD84 is expressed in immune cells and platelets, however its role in platelet physiology was unclear. In this thesis, CD84 deficient mice were generated and analyzed. In well established in vitro and in vivo assays testing platelet function and thrombus formation, CD84 deficient mice displayed phenotypes indistinguishable from wild-type controls. It was concluded that CD84 in platelets does not function as modulator of thrombus formation, but rather has other functions. In line with this, in the second part of this thesis, a novel regulation mechanism for platelet CD84 was discovered and elucidated. Upon platelet activation, the N-terminus of CD84 was found to be cleaved exclusively by the a disintegrin and metalloproteinase 10 (ADAM10), whereas the intracellular part was cleaved by calpain. In addition, regulation of the platelet activating collagen receptor glycoprotein VI (GPVI) was studied and it was shown that GPVI is in contrast to CD84 differentially regulated by ADAM10 and ADAM17. A novel role of CD84 under pathophysiological conditions was revealed as CD84 deficient mice were protected from ischemic stroke in the model of transient middle cerebral artery occlusion and this protection was based on the lack of CD84 in T cells. Ca2+ is an essential second messenger that facilitates activation of platelets and diverse functions in different eukaryotic cell types. Store-operated Ca2+ entry (SOCE) represents the major mechanism leading to rise in intracellular Ca2+ concentration in non-excitable cells. The Ca2+ sensor STIM1 (stromal interaction molecule 1) and the SOC channel subunit protein Orai1 are established mediators of SOCE in platelets. STIM2 is the major STIM isoform in neurons, but the role of the SOC channel subunit protein Orai2 in platelets and neurons has remained elusive. In the third part of this thesis, Orai2 deficient mice were generated and analyzed. Orai2 was dispensable for platelet function, however, Orai2 deficient mice were protected from ischemic neurodegeneration and this phenotype was attributed to defective SOCE in neurons.
I. Climate change comprises average temperatures rise, changes in the distribution of precipitation and an increased amount and intensity of extreme climatic events in the last decades. Considering these serious changes in the abiotic environment it seems obvious that ecosystems also change. Flora and fauna have to adapt to the fast changing conditions, migrate or go extinct. This might result in shifts in biodiversity, species composition, species interactions and in ecosystem functioning and services. Mountains play an important role in the research of these climate impacts. They are hotspots of biodiversity and can be used as powerful natural experiments as they provide, within short distances, the opportunity to research changes in the ecosystem induced by different climatic contexts. In this dissertation two approaches were pursued: i) surveys of biodiversity, trait dominance and assembly rules in communities depending on the climatic context and different management regimes were conducted (chapters II and III) and ii) the effects of experimental climate treatments on essential ecosystem features along the altitudinal gradient were assessed (chapters IV, V and VI). II. We studied the relative importance of management, an altitudinal climatic gradient and their interactions for plant species richness and the dominance of pollination types in 34 alpine grasslands. Species richness peaked at intermediate temperatures and was higher in grazed grasslands compared to non-managed grasslands. We found the climatic context and also management to influence the distribution and dominance structures of wind- and insect-pollinated plants. Our results indicate that extensive grazing maintains high plant diversity over the full subalpine gradient. Rising temperatures may cause an upward shift of the diversity peak of plants and may also result in changed species composition and adaptive potential of pollination types. III. On the same alpine grasslands we studied the impact of the climatic context along an altitudinal gradient on species richness and community assembly in bee communities. Species richness and abundance declined linearly with increasing altitude. Bee species were more closely related at high altitudes than at low altitudes. The proportion of social and ground-nesting species, as well as mean body size and altitudinal range of bees, increased with increasing altitude, whereas the mean geographic distribution decreased. Our results suggest that community assembly at high altitudes is dominated by environmental filtering effects, while the relative importance of competition increases at low altitudes. We conclude that ongoing climate change poses a threat for alpine specialists with adaptations to cool environments but low competitive capacities. IV. We determined the impacts of short-term climate events on flower phenology and assessed whether those impacts differed between lower and higher altitudes. For that we simulated advanced and delayed snowmelt as well as drought events in a multi site experiment along an altitudinal gradient. Flower phenology was strongly affected by altitude, however, this effect declined through the season. The manipulative treatments caused only few changes in flowering phenology. The effects of advanced snowmelt were significantly greater at higher than at lower sites, but altitude did not influence the effect of the other treatments. The length of flowering duration was not significantly influenced by treatments. Our data indicate a rather low risk of drought events on flowering phenology in the Bavarian Alps. V. Changes in the structure of plant-pollinator networks were assessed along an altitudinal gradient combined with the experimental simulation of potential consequences of climate change: extreme drought events, advanced and delayed snowmelt. We found a trend of decreasing specialisation and therefore increasing complexity in networks with increasing altitude. After advanced snowmelt or drought networks were more specialised especially at higher altitudes compared to control plots. Our results show that changes in the network structures after climate manipulations depend on the climatic context and reveal an increasing susceptibility of plant-pollinator networks with increasing altitude. VI. The aim of this study was to determine the combined effects of extreme climatic events and altitude on leaf CN (carbon to nitrogen) ratios and herbivory rates in different plant guilds. We found no overall effect of climate manipulations (extreme drought events, advanced and delayed snowmelt) on leaf CN ratios and herbivory rates. However, plant guilds differed in CN ratios and herbivory rates and responded differently to altitude. CN ratios of forbs (legume and non-legume) decreased with altitude, whereas CN ratios of grasses increased with altitude. Further, CN ratios and herbivory rates increased during the growing season, indicating a decrease of food plant quality during the growing season. Insect herbivory rates were driven by food plant quality. Contrasting altitudinal responses of forbs versus grasses give reason to expect changed dominance structures among plant guilds with ongoing climate change. VII. This dissertation contributes to the understanding of factors that determine the composition and biotic interactions of communities in different climates. The results presented indicate that warmer climates will not only change species richness but also the assembly-rules for plant and bee communities depending on the species' functional traits. Our investigations provide insights in the resilience of different ecosystem features and processes towards climate change and how this resilience depends on the environmental context. It seems that mutualistic interactions are more susceptible to short-term climate events than flowering phenology and antagonistic interactions such as herbivory. However, to draw more general conclusions more empirical data is needed.
Over the past 30 years, much effort and financial support have been invested in the fight against cancer, yet cancer still represents the leading cause of death in the world. Conventional therapies for treatment of cancer are predominantly directed against tumor cells. Recently however, new treatments options have paid more attention to exploiting the advantage of targeting the tumor stroma instead.
Vaccinia virus (VACV) has played an important role in human medicine since the 18th century as a vaccination against smallpox. In our laboratory, the recombinant, replication-competent vaccinia virus, GLV-1h68, was shown to enter, colonize and destroy cancer cells both in cell culture, and in vivo, in xenograft models (Zhang, Yu et al. 2007). In addition, combined therapy of GLV-1h68 and anti-VEGF immunotherapy significantly enhanced antitumor therapy in vivo (Frentzen, Yu et al. 2009).
In this study, we constructed several new recombinant VACVs carrying genes encoding different antibodies against fibroblast activation protein (FAP) in stroma (GLV-1h282), nanobody against the extracellular domain of epidermal growth factor receptor (EGFR, GLV-1h442) or antibodies targeting both vascular endothelial growth factor (VEGF) and EGFR (GLV-1h444) or targeting both VEGF and FAP (GLV-1h446).
The expression of the recombinant proteins was first verified using protein analytical methods, SDS-gel electrophoresis, Western blot analysis, immunoprecipitation (IP) assays and ELISA assays. The proteins were detected after infection of the cells with the different VACVs and the recombinant proteins purified by affinity adsorption. The purified antibodies were shown to specifically bind to their respective antigens.
Secondly, the infection and replication capability of all the virus strains was analyzed in cell culture using several human tumor cell lines (A549, FaDu or DU145), revealing that all the new recombinant VACVs were able to infect cancer cells with comparable efficiency to the parental viruses from which they were derived.
Thirdly, the antitumor efficacy of the new recombinant VACVs was evaluated in vivo using several human cancer xenograft models in mice. In A549 and DU145 xenografts, the new recombinant VACVs exhibited an enhanced therapeutic efficacy compared to GLV-1h68 with no change in toxicity in mice. In the FaDu xenograft, treatment with GLV-1h282 (anti-FAP) significantly slowed down the speed of tumor growth compared to GLV-1h68. Additionally, treatment with the recombinant VACVs expressed the various antibodies achieved comparable or superior therapeutic effects compared to treatment with a combination of GLV-1h68 and the commercial therapeutic antibodies, Avastin, Erbitux or both.
Next, the virus distribution in tumors and organs of treated mice was evaluated. For most of the viruses, the virus titer in tumors was not signficantly diffferent than GLV-1h68. However, for animals treated with GLV-1h282, the virus titer in tumors was significantly higher than with GLV-1h68. This may be the reason for enhanced antitumor efficacy of GLV-1h282 in vivo.
Lastly, the underlying mechanisms of therapeutic antibody-enhanced antitumor effects were investigated by immunohistochemistry. Blood vessels density and cell proliferation in tumors were suppressed after treatment with the antibody-encoded VACVs. The results indicated that the suppression of angiogenesis or cell proliferation in tumors may cause the observed therapeutic effect.
In conclusion, the results of the studies presented here support the hypothesis that the treatment of solid tumors with a combination of oncolytic virotherapy and immunotherapy has an additive effect over each treatment alone. Moreover, expression of the immunotherapeutic antibody by the oncolytic VACV locally in the tumor enhances the antitumor effect over systemic treatment with the same antibody. Combined, these results indicate that therapy with oncolytic VACVs expressing-therapeutic antibodies may be a promising approach for the treatment of cancer.
Nuclear spins in motion is an intrinsic component of any dynamic process when studied using magnetic resonance imaging (MRI). Moving spins define many functional characteristics of the human body such as diffusion, perfusion and blood flow. Quantitative MRI of moving spins
can provide valuable information about the human physiology or of a technical system. In particular, phase-contrast MRI, which is based on two images with and without a flow-encoding gradient, has emerged as an important diagnostic tool in medicine to quantify human blood flow. Unfortunately, however, its clinical usage is hampered by long acquisition times which only provide mean data averaged across multiple cardiac cycles and therefore preclude Monitoring the immediate physiological responses to stress or exercise. These limitations are expected to be overcome by real-time imaging which constitutes a primary aim of this thesis.
Short image acquisition times, as the core for real-time phase-contrast MRI, can be mainly realized through undersampling of the acquired data. Therefore the development focused on related technical aspects such as pulse sequence design, k-space encoding schemes and image
reconstruction. A radial encoding scheme was experimentally found to be robust to motion and
less sensitive to undersampling than Cartesian encoding. Radial encoding was combined with a FLASH acquisition technique for building an efficient real-time phase-contrast MRI sequence.
The sequence was further optimized through overlapping of gradients to achieve the shortest possible echo time. Regularized nonlinear inverse reconstruction (NLINV), a technique which jointly estimates the image content and its corresponding coil sensitivities, was used for image
reconstruction. NLINV was adapted specifically for phase-contrast MRI to produce both Magnitude images and phase-contrast maps. Real-time phase-contrast MRI therefore combined two highly undersampled (up to a factor of 30) radial gradient-echo acquisitions with and without a
flow-encoding gradient with modified NLINV reconstructions. The developed method achieved
real-time phase-contrast MRI at both high spatial (1.3 mm) and temporal resolution (40 ms).
Applications to healthy human subjects as well as preliminary studies of patients demonstrated
real-time phase-contrast MRI to offer improved patient compliance (e.g., free breathing) and immediate access to physiological variations of flow parameters (e.g., response to enhanced intrathoracic pressure). In most cases, quantitative blood flow was measured in the ascending aorta as an important blood vessel of the cardiovascular circulation system commonly studied
in the clinic. The performance of real-time phase-contrast MRI was validated in comparison to standard Cine phase-contrast MRI using studies of flow phantoms as well as under in vivo conditions. The evaluations confirmed good agreement for comparable results.
As a further extension to real-time phase-contrast MRI, this thesis implemented and explored a dual-echo phase-contrast MRI method which employs two sequential gradient echoes with and without flow encoding. The introduction of a flow-encoding gradient in between the two echoes
aids in the further reduction of acquisition time. Although this technique was efficient under in vitro conditions, in vivo studies showed the influence of additional motion-induced Phase contributions. Due to these additional temporal phase information, the approach showed Little promise for quantitative flow MRI.
As a further method three-dimensional real-time phase-contrast MRI was developed in this thesis to visualize and quantify multi-directional flow at about twice the measuring time of the standard real-time MRI method, i.e. at about 100 ms temporal resolution. This was achieved
through velocity mapping along all three physical gradient directions. Although the method is still too slow to adequately cover cardiovascular blood flow, the preliminary results were found to be promising for future applications in tissues and organ systems outside the heart. Finally, future developments are expected to benefit from the adaptation of model-based reconstruction
techniques to real-time phase-contrast MRI.
Marine sponges are the most ancient metazoans and of large ecological importance as drivers of water and nutrient flows in benthic habitats. Furthermore marine sponges are well known for their association with highly abundant and diverse microbial consortia. Microorganisms inhabit the extracellular matrix of marine sponges where they can make up to 35% of the sponge’s biomass. Many microbial symbionts of marine sponges are highly host specific and cannot, or only in very rare abundances, be found outside of their host environment. Of special interest is the candidate phylum Poribacteria that was first discovered in marine sponges and still remains almost exclusive to their hosts. Phylogenetically Poribacteria were placed into the Planctomycetes, Verrucomicrobia, Chlamydiae superphylum and similarly to many members of this superphylum cell compartmentation has been proposed to occur in members of the Poribacteria. The status as a candidate phylum implies that no member of Poribacteria has been obtained in culture yet. This restricts the investigations of Poribacteria and their interactions with marine sponges to culture independent methods and makes functional characterisation a difficult task.
In this PhD thesis I used the novel method of single-cell genomics to investigate the genomic potential of the candidate phylum Poribacteria. Single-cell genomics enables whole genome sequencing of uncultivated microorganisms by singularising cells from the environment, subsequent cell lysis and multiple displacement amplification of the total genomic DNA. This process yields sufficient amounts of DNA for whole genome sequencing and genome analysis. This technique and its relevance for symbiosis studies are discussed in this PhD thesis.
Through the application of single-cell genomics it was possible to increase the number of single-amplified genomes of the candidate phylum Poribacteria from initially one to a total of six. Analyses of these datasets made it possible to enhance our understanding of the metabolism, taxonomy, and phylum diversity of Poribacteria and thus made these one of the best-characterised sponge symbionts today. The poribacterial genomes represented three phylotypes within the candidate phylum of which one appeared dominant. Phylogenetic and phylogenomic analyses revealed a novel phylogenetic positioning of Poribacteria distinctly outside of the Planctomycete, Verrucomicorbia, Chlamydiae superphylum. The occurrence of cell compartmentation in Poribacteria was also revisited based on the obtained genome sequences and revealed evidence for bacterial microcompartments instead of the previously suggested nucleotide-like structures. An extensive genomic repertoire of glycoside hydrolases, glycotransferases, and other carbohydrate active enzymes was found to be the central shared feature between all poribacterial genomes and showed that Poribacteria are among those marine bacteria with the largest genomic repertoire for carbohydrate degradation. Detailed analysis of the carbohydrate metabolism revealed that Poribacteria have the genomic potential for degradation of a variety of polymers, di- and monosaccharaides that allow these symbionts to feed various nutrient sources accessible through the filter-feeding activities of the sponge host. Furthermore the poribacterial glycobiome appeared to enable degradation of glycosaminoglycan chains, one of the main building blocks of extracellular matrix of marine sponges. Different lifestyles resulting from the poribacterial carbohydrate degradation potential are discussed including the influence of nutrient cycling in sponges, nutrient recycling and scavenging. The findings of this thesis emphasise the long overlooked importance of heterotrophic symbionts such as Poribacteria for the interactions with marine sponges and represent a solid basis for future studies of the influence heterotrophic symbionts have on their sponge hosts.
Introduction: Colon cancer is one of the major human malignancies worldwide, and much effort has been applied to understand the process of colon carcinogenesis, as well as the role of potential treatments and co-therapeutical agents against it. A growing body of evidence suggests that the use of fluoxetine (FLX), an antidepressant belonging to the selective serotonin reuptake inhibitors (SSRIs), may be associated with a reduced colon cancer risk. However, controversial opinions have been published and an identification of the mechanisms of the activity of FLX on colon cells would help in the clarification of this controversy. Objectives: Using several in vitro and in vivo-based methods and analyses, we aimed to verify whether FLX has antioxidant, pro-oxidant or DNA-damaging potential in standard toxicological assays; to check whether and how FLX could prevent and reduce colon preneoplastic lesions; to ascertain whether FLX has any oncostatic potential against colon tumors; and, to investigate whether FLX activity could be comparable with a known and current applied chemotherapeutic agent against colon cancer. Results: FLX did not have any antioxidant potential in our experiments. Although it did not induce reactive oxygen species (ROS) generation or DNA-damage in fibroblast and colon tumor cell lines, FLX reduced dysplasia and proliferation in two different carcinogen models. Further, a significant decrease in colon stromal reactivity and angiogenesis was found in both carcinogen-induced preneoplasia models. In a xenograft model of colon cancer, FLX shrank tumors, reduced tumor proliferation, arrested cancer cells at the G0/G1 cell-cycle phase, and took ROS generation under control. Such effects were detected together with an intracellular acidification and loss of mitochondrial membrane potential in FLX-treated cells. Modulating mitochondrial respiratory chain, HIF-1 expression and Akt/mTOR signaling pathway, FLX was found to reduce colon tumors similar to the widely used chemotherapeutic agent 5-Fluoracil activity. Conclusion: Our collective data suggest that FLX is a remarkable chemopreventive and oncostatic agent against colon preneoplastic lesions and tumors, acting without DNA-damage or ROS generation.
Objective: Brain Computer Interfaces (BCI) provide a muscle independent interaction channel making them particularly valuable for individuals with severe motor impairment. Thus, different BCI systems and applications have been proposed as assistive technology (AT) solutions for such patients. The most prominent system for communication utilizes event-related potentials (ERP) obtained from the electroencephalogram (EEG) to allow for communication on a character-by-character basis. Yet in their current state of technology, daily life use cases of such systems are rare. In addition to the high EEG preparation effort, one of the main reasons is the low information throughput compared to other existing AT solutions. Furthermore, when testing BCI systems in patients, a performance drop is usually observed compared to healthy users. Patients often display a low signal-to-noise ratio of the recorded EEG and detection of brain responses may be aggravated due to internally (e.g. spasm) or externally induced artifacts (e.g. from ventilation devices). Consequently, practical BCI systems need to cope with mani-fold inter-individual differences. Whilst these high demands lead to increasing complexity of the technology, daily life use of BCI systems requires straightforward setup including an easy-to-use graphical user interface that nonprofessionals can handle without expert support. Research questions of this thesis: This dissertation project aimed at bringing forward BCI technology toward a possible integration into end-users' daily life. Four basic research questions were addressed: (1) Can we identify performance predictors so that we can provide users with individual BCI solutions without the need of multiple, demanding testing sessions? (2) Can we provide complex BCI technology in an automated, user-friendly and easy-to-use manner, so that BCIs can be used without expert support at end-users' homes? (3) How can we account for and improve the low information transfer rates as compared to other existing assistive technology solutions? (4) How can we prevent the performance drop often seen when bringing BCI technology that was tested in healthy users to those with severe motor impairment? Results and discussion: (1) Heart rate variability (HRV) as an index of inhibitory control (i.e. the ability to allocate attention resources and inhibit distracting stimuli) was significantly related to ERP-BCI performance and accounted for almost 26% of variance. HRV is easy to assess from short heartbeat recordings and may thus serve as a performance predictor for ERP-BCIs. Due to missing software solutions for appropriate processing of artifacts in heartbeat data (electrocardiogram and inter-beat interval data), our own tool was developed that is available free of charge. To date, more than 100 researchers worldwide have requested the tool. Recently, a new version was developed and released together with a website (www.artiifact.de). (2) Furthermore, a study of this thesis demonstrated that BCI technology can be incorporated into easy-to-use software, including auto-calibration and predictive text entry. Naïve, healthy nonprofessionals were able to control the software without expert support and successfully spelled words using the auto-calibrated BCI. They reported that software handling was straightforward and that they would be able to explain the system to others. However, future research is required to study transfer of the results to patient samples. (3) The commonly used ERP-BCI paradigm was significantly improved. Instead of simply highlighting visually displayed characters as is usually done, pictures of famous faces were used as stimulus material. As a result, specific brain potentials involved in face recognition and face processing were elicited. The event-related EEG thus displayed an increased signal-to-noise ratio, which facilitated the detection of ERPs extremely well. Consequently, BCI performance was significantly increased. (4) The good results of this new face-flashing paradigm achieved with healthy participants transferred well to users with neurodegenerative disease. Using a face paradigm boosted information throughput. Importantly, two users who were highly inefficient with the commonly used paradigm displayed high accuracy when exposed to the face paradigm. The increased signal-to-noise ratio of the recorded EEG thus helped them to overcome their BCI inefficiency. Significance: The presented work at hand (1) successfully identified a physiological predictor of ERP-BCI performance, (2) proved the technology ready to be operated by naïve nonprofessionals without expert support, (3) significantly improved the commonly used spelling paradigm and (4) thereby displayed a way to effectively prevent BCI inefficiency in patients with neurodegenerative disease. Additionally, missing software solutions for appropriate handling of artifacts in heartbeat data encouraged development of our own software tool that is available to the research community free of charge. In sum, this thesis significantly improved current BCI technology and enhanced our understanding of physiological correlates of BCI performance.
In the field of organic photovoltaics, one of the most intensely researched topics to date is the charge carrier photogeneration in organic bulk heterojunction solar cells whose thorough understanding is crucial for achieving higher power conversion efficiencies. In particular, the mechanism of singlet exciton dissociation at the polymer–fullerene interface is still controversially debated.
This work addresses the dissociation pathway via relaxed charge transfer states (CTS) by investigating its field dependence for reference material systems consisting of MDMO-PPV and one of the fullerene derivatives PC61BM, bisPCBM and PC71BM. Field dependent photoluminescence (PL(F)) and transient absorption (TA(F)) measurements give insight into the recombination of charge transfer excitons (CTE) and the generation of polarons, respectively. Optically detected magnetic resonance and atomic force microscopy are used to characterize the morphology of the samples.
The comparison of the experimental field dependent exciton recombination recorded by PL(F) and the theoretical exciton dissociation probability given by the Onsager–Braun model yields the exciton binding energy as one of the key parameters determining the dissociation efficiency. The binding energies of both the singlet exciton in neat MDMO-PPV and the CTE in MDMO-PPV:PC61BM 1:1 are extracted, the latter turning out to be significantly reduced with respect to the one of the singlet exciton.
Based on these results, the field dependence of CTE dissociation is evaluated for MDMO-PPV:PC61BM blends with varying fullerene loads by PL(F) and TA(F). For higher PC61BM contents, the CTE binding energies decrease notably. This behavior is ascribed to a larger effective dielectric constant for well-intermixed blends and to an interplay between dielectric constant and CTE delocalization length for phase separated morphologies, emphasizing the importance of high dielectric constants for the charge carrier photogeneration process.
Finally, the CTE binding energies are determined for MDMO-PPV blends with different fullerene derivatives, focusing on the influence of the acceptor LUMO energy. Here, the experimental results suggest the latter having no or at least no significant impact on the binding energy of the CTE. Variations of this binding energy are rather related to different trap levels in the acceptors which seem to be involved in CTS formation.
Testing Models with Higher Dimensional Effective Interactions at the LHC and Dark Matter Experiments
(2013)
Dark matter and non-zero neutrino masses are possible hints for new physics beyond the Standard Model of particle physics. Such potential consequences of new physics can be described by effective field theories in a model independent way. It is possible that the dominant contribution to low-energy effects of new physics is generated by operators of dimension d>5, e.g., due to an additional symmetry. Since these are more suppressed than the usually discussed lower dimensional operators, they can lead to extremly weak interactions even if new physics appears at comparatively low scales. Thus neutrino mass models can be connected to TeV scale physics, for instance. The possible existence of TeV scale particles is interesting, since they can be potentially observed at collider experiments, such as the Large Hadron Collider. Hence, we first recapitulate the generation of neutrino masses by higher dimensional effective operators in a supersymmetric framework. In addition, we discuss processes that can be used to test these models at the Large Hadron Collider. The introduction of new particles can affect the running of gauge couplings. Hence, we study the compatibilty of these models with Grand Unified Theories. The required extension of these models can imply the existence of new heavy quarks, which requires the consideration of cosmological constraints. Finally, higher dimensional effective operators can not only generate small neutrino masses. They also can be used to discuss the interactions relevant for dark matter detection experiments. Thus we apply the methods established for the study of neutrino mass models to the systematic discussion of higher dimensional effective operators generating dark matter interactions.
Light-induced excitation of matter proceeds within femtoseconds, resulting in excited states. Originating from these states chemical reaction mechanisms, like isomerization or bond formation, set in. Photophysical mechanisms like energy distribution and excitonic delocalization also occur. Thus, the reaction scheme has to be disentangled by assessing the importance of each process. Spectroscopic methods based on fs laser pulses have emerged as a versatile tool to study these reactions. Within this thesis time-resolved experiments with fs laser pulses on various molecular systems were performed. Novel photosystems, with possible applications ranging from ultrathin molecular wires to molecular switches, were extensively characterized. To resolve the complex kinetics of the investigated systems, time-resolved techniques had to be newly developed. By combining a visible excitation pulse pair with an additional pulse and a continuum probe electronic triggered-exchange two-dimensional spectroscopy (TE2D) was demonstrated for the first time. This goal was accomplished by combining a three-color transient-absorption setup with a pulse shaper. Hence, 2D spectroscopy with a continuum probe was also implemented. Using these methods two different molecular systems in solution were characterized in a comprehensive manner. (ZnTPP)2, a directly beta,beta’-linked Zn-metallated bisporphyrin, and a spiropyran-merocyanine photosystem, 6,8-dinitro BIPS, were characterized. (ZnTPP)2 is a homodimer, featuring strong excitonic effects. These manifest themselves in a twofold splitting of the Soret band (S2). 6,8-Dinitro BIPS exists in one of two possible conformations. The ring closed spiropyran absorbs only in the UV, while the ring open merocyanine also absorbs in the visible. For both molecular systems photodynamics upon illumination were monitored using transient-absorption. However, the obtained results were ambiguous, necessitating more complex methods. In the case of (ZnTPP)2 first the monomeric building block was characterized. There, population transfer from the S2 state into S1 within 2 ps was identified. Afterwards, intersystem crossing proceeds within 2 ns. For (ZnTPP)2 similar pathways were found, albeit the relaxation is faster. The intersystem crossing with 1.5 ns was not only indirectly deduced but directly measured by probing in the NIR spectral range. The excitonic influence of was investigated by coherent 2D spectroscopy in the Soret band. Population transfer within S2 was directly visualized on a time-scale of 100 fs. Calculation of the 2D spectra of a simple homodimer confirmed the results. After this analysis of the distinct excitonic character, this molecule may serve as a building block for larger porphyrin arrays with applications ranging from asymmetric catalysis over biomimicry of electron-transfer to organic optical devices. The second photosystem was the molecular switch 6,8-dinitro BIPS, existing in two conformations. Merocyanine is the more stable form in thermal equilibrium. Transient-absorption measurements uncovered that the sample consisted of a mixture of two merocyanine isomers, referred to as TTC and TTT. However, both isomers are capable of ring-closure forming spiropyran. The remaining excited molecules return to the ground state radiatively. Conducting 2D measurements utilizing a continuum probe the differing photochemistry of both isomers was examined in a single measurement. No isomerization between these conformations was detected. Therefore, 6,8-dinitro BIPS performs a concerted switching without long-living intermediates. This was confirmed by a pump-repump-probe scan. 6,8-DinitroBIPS can be closed by visible and opened by UV pulses using subsequent pulses and vice versa. These mechanisms via singlet pathways satisfy an important criterion for a unimolecular switching device. A second pump-repump-probe experiment showed that the sample is ionized, resulting in a merocyanine radical cation, when the first excited state is resonantly excited. Furthermore, by implementing TE2Dspectroscopy, it was elucidated that only TTC was ionized. Taking all this into account new techniques were developed and complex molecular systems were characterized within this thesis. Deeper insight into the photodynamics of (ZnTPP)2and 6,8-dinitro BIPS was gained by adapting transient absorption for the NIR spectral range, constructing a 2D setup in pump-probe geometry, and combining it with multipulse excitation to coherent TE2D. All techniques solved the questions for which they were constructed, but they are not limited to these cases. Especially TE2D opens new roads in photochemistry. By connecting reactant, product and the corresponding intermediates, a chemical reaction can be tracked through all stages, making unambiguous identification of the reactive states feasible. Thus, fundamental insight into the photochemistry of molecular compounds is gained.