Refine
Is part of the Bibliography
- yes (803)
Year of publication
Document Type
- Doctoral Thesis (793)
- Journal article (9)
- Book (1)
Language
- English (803) (remove)
Keywords
- Maus (32)
- Thrombozyt (30)
- Taufliege (20)
- Tissue Engineering (19)
- Genexpression (16)
- T-Lymphozyt (15)
- Dendritische Zelle (14)
- Biene (13)
- Entzündung (13)
- Angst (12)
Institute
- Graduate School of Life Sciences (803) (remove)
Sonstige beteiligte Institutionen
- Helmholtz Institute for RNA-based Infection Research (HIRI) (7)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Universitätsklinikum Münster (2)
- Zentrum für Infektionsforschung (ZINF) Würzburg (2)
- Bio-Imaging Center Würzburg (1)
- Biomedical Center Munich, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München (1)
- CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - the development agency of the Brazilian Federal Government (1)
- Carl-Ludwig-Institut für Physiologie, Universität Leipzig (1)
- Chair of Experimental Biomedicine I (1)
- DAAD - Deutscher Akademischer Austauschdienst (1)
An increase in cytosolic Ca2+ levels ([Ca2+]i) is a key event that occurs downstream of many signaling cascades in response to an external stimulus and regulates a wide range of cellular processes, including platelet activation. Eukaryotic cells increase their basal [Ca2+]i allowing extracellular Ca2+ influx into the cell, which involves different mechanisms. Store-operated Ca2+ entry (SOCE) is considered the main mechanism of extracellular Ca2+ influx in electrically non-excitable cells and platelets, and comprises an initial Ca2+ depletion from intracellular Ca2+ stores prior to activation of extracellular Ca2+ influx. Although the close relation between Ca2+ release from intracellular stores and extracellular Ca2+ influx was clear, the nature of the signal that linked both events remained elusive until 2005, when Stromal Interaction Molecule 1 (STIM1) was identified as an endoplasmic reticulum (ER) Ca2+ sensor essential for inositol (1,4,5)-trisphosphate (IP3)-mediated SOCE in vitro. However, the function of its homologue STIM2 in Ca2+ homeostasis was in general unknown. Therefore, mice lacking STIM2 (Stim2-/-) were generated in this work to study initially STIM2 function in platelets and in cells of the immune system. Stim2-/- mice developed normally in size and weight to adulthood and were fertile. However, for unknown reasons, they started to die spontaneously at the age of 8 weeks. Unexpectedly, Stim2-/- mice did not show relevant differences in platelets, revealing that STIM2 function is not essential in these cells. However, STIM2 seems to be involved in mammary gland development during pregnancy and is essential for mammary gland function during lactation. CD4+ T cells lacking STIM2 showed decreased SOCE. Our data suggest that STIM2 has a very specific function in the immune system and is involved in Experimental Autoimmune Encephalomyelitis (EAE) at early stages of the disease progression. Stim2-/- neurons were also defective in SOCE. Surprisingly, our results evidenced that STIM2 participates in mechanisms of neuronal damage after ischemic events in brain. This is the first time that the involvement of SOCE in ischemic neuronal damage has been reported. This finding may serve as a basis for the development of novel neuroprotective agents for the treatment of ischemic stroke, and possibly other neurodegenerative disorders in which disturbances in cellular Ca2+ homeostasis are considered a major pathophysiological component.
Extracellular signals are translated and amplified via cascades of serially switched protein kinases, MAP kinases (MAPKs). One of the MAP pathways, the classical RAS/RAF/MEK/ERK pathway, transduces signals from receptor tyrosine kinases and plays a central role in regulation of cell proliferation. RAF kinases (A-, B- and C-RAF) function atop of this cascade and convert signals emanating from conformational change of RAS GTPases into their kinase activity, which in turn phosphorylates their immediate substrate, MEK. Disregulated kinase activity of RAF can result in tumor formation, as documented for many types of cancer, predominantly melanomas and thyroid carcinomas (B-RAF). A-RAF is the least characterized RAF, possibly due to its low intrinsic kinase activity and comparatively mild phenotype of A-RAF knockout mice. Nevertheless, the unique phenotype of araf -/- mice, showed predominantly neurological abnormalities such as cerebellum disorders, suggesting that A-RAF participates in a specific process not complemented by activities of B- and CRAF. Here we describe the role of A-RAF in membrane trafficking and identify its function in a specific step of endocytosis. This work led to the discovery of a C-terminally truncated version of A-RAF, AR149 that strongly interfered with cell growth and polarization in yeast and with endocytosis and actin polymerization in mammalian cells. As this work was in progress two splicing isoforms of ARAF, termed DA-RAF1 and DA-RAF2 were described that act as natural inhibitors of RAS-ERK signaling during myogenic differentiation (Yokoyama et al., 2007). DA-RAF2 contains the first 153 aa of A-RAF and thus is nearly identical with AR149. AR149 localized specifically to the recycling endosomal compartments as confirmed by colocalization and coimmunoprecipitation with ARF6. Expression of AR149 interferes with recycling of endocytosed transferrin (Tfn) and with actin polymerization. The endocytic compartment, where internalized Tfn is trapped, was identified as ARF6- and RAB11- positive endocytic vesicles. We conclude that the inhibition of Tfn trafficking in the absence of A-RAF or under overexpression of AR149 occurs between tubular- and TGNassociated recycling endosomal compartments. siRNA-mediated depletion of endogenous A-RAF or inhibition of MEK by U0126 mimic the AR149 overexpression phenotype, supporting a role of ARAF regulated ERK signalling at endosomes that is controlled by AR149 and targets ARF6. Our data additionally suggest EFA6 as a partner of A-RAF during activation of ARF6. The novel findings on the A-RAF localization and the interaction with ARF6 have led to a new model of ARAF function were A-RAF via activation of ARF6 controls the recycling of endocytic vesicles.Endocytosis and rapid recycling of synaptic vesicles is critically important for the physiological function of neurons. The finding, that A-RAF regulates endocytic recycling open a new perspective for investigation of the role of A-RAF in the nervous system.
The RS1 protein (gene RSC1A1) participates in regulation of Na+-D-glucose cotransporter SGLT1 and some other solute carriers. In subconfluent LLC-PK1 cells, RS1 inhibits release of SGLT1 from the trans-Golgi network and transcription of SGLT1. In subconfluent cells, RS1 is localized in the nucleus and the cytoplasm whereas confluent cells contain predominantly cytoplasmic RS1. In the present study, the mechanism and regulation of confluence-dependent nuclear location of RS1 was investigated. Confluence dependent nuclear location of RS1 was shown to be regulated by the cell cycle. A nuclear shuttling signal (NS) in pRS1 was identified that ensures confluence-dependent distribution of pRS1 and comprises nuclear localization signal (NLS) and nuclear export signal (NES). The NLS and NES of RS1 mediate translocation into and out of the nucleus via importin ß1 and CRM1, respectively, and the nuclear/cytoplasmic distribution of the RS1 protein is determined by the nuclear export activity. The adjacent protein kinase C (PKC) phosphorylation site at serine 370 of pRS1 was shown to control nuclear localization driven by NS and is necessary for the differential localization of RS1 in quiescent versus proliferating cells. Basing on the data of site-directed mutagenesis, PKC activation experiments and mass spectrometry analysis of RS1 phosphorylation, the following model of the regulation of RS1 nuclear location in LLC-PK1 cells was proposed. In subconfluent cells, RS1 is actively imported into the nucleus whereas nuclear export of RS1 is not active leading to accumulation of RS1 in the nucleus. After confluence, phosphorylation of serine 370 of pRS1 by PKC takes place leading to enhancement of RS1 nuclear export and predominantly cytoplasmic distribution of the protein in the confluent cells. The confluence-dependent regulation of RS1 localization may control SGLT1 expression during regeneration of enterocytes in small intestine and during regeneration of renal tubular cells after hypoxemic stress. Moreover, the gene expression profiling of mouse embryonic fibroblasts with RS1-/- genotype suggests that transcriptional regulation by RS1 might be important for the cell cycle and cell division. Since RS1 localization depends on the cell cycle, RS1 might play a role in the regulation of the solute carriers during specific phases of the cell cycle.
Recent progresses and developments in molecular biology provide a wealth of new but insufficiently characterised data. This fund comprises amongst others biological data of genomic DNA, protein sequences, 3-dimensional protein structures as well as profiles of gene expression. In the present work, this information is used to develop new methods for the characterisation and classification of organisms and whole groups of organisms as well as to enhance the automated gain and transfer of information. The first two presented approaches (chapters 4 und 5) focus on the medically and scientifically important enterobacteria. Its impact in medicine and molecular biology is founded in versatile mechanisms of infection, their fundamental function as a commensal inhabitant of the intestinal tract and their use as model organisms as they are easy to cultivate. Despite many studies on single pathogroups with clinical distinguishable pathologies, the genotypic factors that contribute to their diversity are still partially unknown. The comprehensive genome comparison described in Chapter 4 was conducted with numerous enterobacterial strains, which cover nearly the whole range of clinically relevant diversity. The genome comparison constitutes the basis of a characterisation of the enterobacterial gene pool, of a reconstruction of evolutionary processes and of comprehensive analysis of specific protein families in enterobacterial subgroups. Correspondence analysis, which is applied for the first time in this context, yields qualitative statements to bacterial subgroups and the respective, exclusively present protein families. Specific protein families were identified for the three major subgroups of enterobacteria namely the genera Yersinia and Salmonella as well as to the group of Shigella and E. coli by applying statistical tests. In conclusion, the genome comparison-based methods provide new starting points to infer specific genotypic traits of bacterial groups from the transfer of functional annotation. Due to the high medical importance of enterobacterial isolates their classification according to pathogenicity has been in focus of many studies. The microarray technology offers a fast, reproducible and standardisable means of bacterial typing and has been proved in bacterial diagnostics, risk assessment and surveillance. The design of the diagnostic microarray of enterobacteria described in chapter 5 is based on the availability of numerous enterobacterial genome sequences. A novel probe selection strategy based on the highly efficient algorithm of string search, which considers both coding and non-coding regions of genomic DNA, enhances pathogroup detection. This principle reduces the risk of incorrect typing due to restrictions to virulence-associated capture probes. Additional capture probes extend the spectrum of applications of the microarray to simultaneous diagnostic or surveillance of antimicrobial resistance. Comprehensive test hybridisations largely confirm the reliability of the selected capture probes and its ability to robustly classify enterobacterial strains according to pathogenicity. Moreover, the tests constitute the basis of the training of a regression model for the classification of pathogroups and hybridised amounts of DNA. The regression model features a continuous learning capacity leading to an enhancement of the prediction accuracy in the process of its application. A fraction of the capture probes represents intergenic DNA and hence confirms the relevance of the underlying strategy. Interestingly, a large part of the capture probes represents poorly annotated genes suggesting the existence of yet unconsidered factors with importance to the formation of respective virulence phenotypes. Another major field of microarray applications is gene expression analysis. The size of gene expression databases rapidly increased in recent years. Although they provide a wealth of expression data, it remains challenging to integrate results from different studies. In chapter 6 the methodology of an unsupervised meta-analysis of genome-wide A. thaliana gene expression data sets is presented, which yields novel insights in function and regulation of genes. The application of kernel-based principal component analysis in combination with hierarchical clustering identified three major groups of contrasts each sharing overlapping expression profiles. Genes associated with two groups are known to play important roles in Indol-3 acetic acid (IAA) mediated plant growth and development as well as in pathogen defence. Yet uncharacterised serine-threonine kinases could be assigned to novel functions in pathogen defence by meta-analysis. In general, hidden interrelation between genes regulated under different conditions could be unravelled by the described approach. HMMs are applied to the functional characterisation of proteins or the detection of genes in genome sequences. Although HMMs are technically mature and widely applied in computational biology, I demonstrate the methodical optimisation with respect to the modelling accuracy on biological data with various distributions of sequence lengths. The subunits of these models, the states, are associated with a certain holding time being the link to length distributions of represented sequences. An adaptation of simple HMM topologies to bell-shaped length distributions described in chapter 7 was achieved by serial chain-linking of single states, while residing in the class of conventional HMMs. The impact of an optimisation of HMM topologies was underlined by performance evaluations with differently adjusted HMM topologies. In summary, a general methodology was introduced to improve the modelling behaviour of HMMs by topological optimisation with maximum likelihood and a fast and easily implementable moment estimator. Chapter 8 describes the application of HMMs to the prediction of interaction sites in protein domains. As previously demonstrated, these sites are not trivial to predict because of varying degree in conservation of their location and type within the domain family. The prediction of interaction sites in protein domains is achieved by a newly defined HMM topology, which incorporates both sequence and structure information. Posterior decoding is applied to the prediction of interaction sites providing additional information of the probability of an interaction for all sequence positions. The implementation of interaction profile HMMs (ipHMMs) is based on the well established profile HMMs and inherits its known efficiency and sensitivity. The large-scale prediction of interaction sites by ipHMMs explained protein dysfunctions caused by mutations that are associated to inheritable diseases like different types of cancer or muscular dystrophy. As already demonstrated by profile HMMs, the ipHMMs are suitable for large-scale applications. Overall, the HMM-based method enhances the prediction quality of interaction sites and improves the understanding of the molecular background of inheritable diseases. With respect to current and future requirements I provide large-scale solutions for the characterisation of biological data in this work. All described methods feature a highly portable character, which allows for the transfer to related topics or organisms, respectively. Special emphasis was put on the knowledge transfer facilitated by a steadily increasing wealth of biological information. The applied and developed statistical methods largely provide learning capacities and hence benefit from the gain of knowledge resulting in increased prediction accuracies and reliability.
Mycobacterium tuberculosis is the causative agent of tuberculosis and responsible for more than eight million new infections and about two million deaths each year. Novel chemotherapeutics are urgently needed to treat the emerging threat of multi drug resistant and extensively drug resistant strains. Cell wall biosynthesis is a widely used target for chemotherapeutic intervention in bacterial infections. In mycobacteria, the cell wall is comprised of mycolic acids, very long chain fatty acids that provide protection and allow the bacteria to persist in the human macrophage. The type II fatty acid biosynthesis pathway in Mycobacterium tuberculosis synthesizes fatty acids with a length of up to 56 carbon atoms that are the precursors of the critical mycobacterial cell wall components mycolic acids. KasA, the mycobacterial ß-ketoacyl synthase and InhA, the mycobacterial enoyl reductase, are essential enzymes in the fatty acid biosynthesis pathway and validated drug targets. In this work, KasA was expressed in Mycobacterium smegmatis, purified and co-crystallized in complex with the natural thiolactone antibiotic thiolactomycin (TLM). High-resolution crystal structures of KasA and the C171Q KasA variant, which mimics the acyl enzyme intermediate of the enzyme, were solved in absence and presence of bound TLM. The crystal structures reveal how the inhibitor is coordinated by the enzyme and thus specifically pinpoint towards possible modifications to increase the affinity of the compound and develop potent new drugs against tuberculosis. Comparisons between the TLM bound crystal structures explain the preferential binding of TLM to the acylated form of KasA. Furthermore, long polyethylene glycol molecules are bound to KasA that mimic a fatty acid substrate of approximately 40 carbon atoms length. These structures thus provide the first insights into the molecular mechanism of substrate recognition and reveal how a wax-like substance can be accommodated in a cytosolic environment. InhA was purified and co-crystallized in complex with the slow, tight binding inhibitor 2-(o-tolyloxy)-5-hexylphenol (PT70). Two crystal structures of the ternary InhA-NAD+-PT70 were solved and reveal how the inhibitor is bound to the substrate binding pocket. Both structures display an ordered substrate binding loop and corroborate the hypothesis that slow onset inhibition is coupled to loop ordering. Upon loop ordering, the active site entrance is more restricted and the inhibitor is kept inside more tightly. These studies provide additional information on the mechanistic imperatives for slow onset inhibition of enoyl ACP reductases.
Studies on platelet cytoskeletal dynamics and receptor regulation in genetically modified mice
(2009)
Platelets are produced by bone marrow megakaryocytes in a process involving actin dynamics. Actin-depolymerizing factor (ADF) and cofilin are actin-binding proteins that act as key regulators in actin turnover by promoting filament severing and depolymerization. The overall significance of ADF/cofilin function and actin turnover in platelet formation is presently unclear. In the first part of this thesis, platelet formation and function were studied in mice constitutively lacking ADF and/or mice with a conditional deficiency (Cre/loxP) in n-cofilin. To delete cofilin exclusively in megakaryocytes and platelets, cofilinfl/fl mice were crossed with PF4 (platelet factor 4)-Cre mice. While a single-deficiency in ADF or n-cofilin resulted in no or only a minor platelet formation defect, respectively, a double-deficiency in ADF and n-cofilin led to an almost complete loss of platelets. Bone marrow megakaryocytes of ADF/n-cofilin-deficient mice showed defective platelet zone formation. Interestingly, in vitro and ex vivo megakaryocyte differentiation revealed reduced proplatelet formation and absence of platelet-forming swellings. These data establish that ADF and n-cofilin have redundant but essential roles in the terminal step of platelet formation in vitro and in vivo. In the second part of the thesis, mechanisms underlying cellular regulation of the major platelet collagen receptor, glycoprotein VI (GPVI), were studied. GPVI mediates platelet activation on exposed subendothelial collagens at sites of vascular injury, and thereby contributes to normal hemostasis but also to occlusion of diseased vessels in the setting of myocardial infarction or stroke. Thus, GPVI is an attractive target for anti-thrombotic therapy, particularly because previous studies have shown that anti-GPVI antibodies induce irreversible down-regulation of the receptor in circulating platelets by internalization and ectodomain shedding. Metalloproteinases of the ADAM (a disintegrin and metalloproteinase domain) family are suspected to mediate this ectodomain shedding, but in vivo evidence for this is lacking. To study the mechanism of GPVI regulation in vivo, two mouse lines, Gp6 knock-out and Adam10fl/fl, PF4-Cre mice, were generated and in addition low TACE (TNFalpha converting enzyme) mice were analyzed. It was shown that GPVI can be cleaved in vitro by ADAM10 or TACE depending on the shedding-inducing signaling pathway. Moreover, GPVI was down-regulated in vivo upon antibody injection in ADAM10-deficient and low TACE mice suggesting that either both or an additional metalloproteinase is involved in GPVI regulation in vivo.
Integrating neurobiological markers of depression: an fMRI-based pattern classification approach
(2010)
While depressive disorders are, to date, diagnosed based on behavioral symptoms and course of illness, the interest in neurobiological markers of psychiatric disorders has grown substantially in recent years. However, current classification approaches are mainly based on data from a single biomarker, making it difficult to predict diseases such as depression which are characterized by a complex pattern of symptoms. Accordingly, none of the previously investigated single biomarkers has shown sufficient predictive power for practical application. In this work, we therefore propose an algorithm which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. First, we identified the core-symptoms of depression from standard classification systems. Then, we designed and conducted three experimental paradigms probing psychological processes known to be related to these symptoms using functional Magnetic Resonance Imaging. In order to integrate the resulting 12 high-dimensional biomarkers, we developed a multi-source pattern recognition algorithm based on a combination of Gaussian Process Classifiers and decision trees. Applying this approach to a group of 30 healthy controls and 30 depressive in-patients who were on a variety of medications and displayed varying degrees of symptom-severity allowed for high-accuracy single-subject classification. Specifically, integrating biomarkers yielded an accuracy of 83% while the best of the 12 single biomarkers alone classified a significantly lower number of subjects (72%) correctly. Thus, integrated biomarker-based classification of a heterogeneous, real-life sample resulted in accuracy comparable to the highest ever achieved in previous single biomarker research. Furthermore, investigation of the final prediction model revealed that neural activation during the processing of neutral facial expressions, large rewards, and safety cues is most relevant for over-all classification. We conclude that combining brain activation related to the core-symptoms of depression using the multi-source pattern classification approach developed in this work substantially increases classification accuracy while providing a sparse relational biomarker-model for future prediction.
Stem cells with the particular potential to self renew and to differentiate into multiple cell lineages are fascinating cell types for basic and applied research. Pluripotent embryonic stem (ES) cells are derived from the inner cell mass (ICM) of preimplantation embryos. Upon differentiation ES cells can give rise to cells of ecto-, meso- and endoderm including germ cells. In contrast, multipotent adult stem cells are more restricted in their differentiation outcomes,they differentiate into cells of their tissue of origin. For example, hematopoietic stem cells (HSCs) that reside in hemogenic tissues such as the bone marrow (BM) differentiate into hemato-/lymphoid cell lineages. Upon differentiation of stem cells not the genome, but the epigenetic regulation changes. Differentiation-associated epigenetic changes generate cell types with distinct phenotypes and functions. For stem cell-based therapies it is important to deeper understand the relation between epigenome and cellular function. In the scope of this thesis I aimed to analyze cultures of differentiating stem cells with respect to gene expression, chromatin regulation and differentiation potential. For the analysis of global histone modification levels, which represent one mechanism for epigenetic regulation, fow cytometric protocols were established that allow single cell measurements. By applying this methodology decreased histone acetylation levels were shown in differentiated ES cell populations. In contrast, comparable histone acetylation levels were observed in differentiated and undifferentiated BM cells. In addition, I investigated effects of the histone deacetylase (HDAC) inhibitor trichostatin A (TSA) on murine BM cells, comprising also HSCs. Upon TSA treatment the frequency of cells with in vitro and in vivo hematopoietic activity was increased, while lineage committed cells underwent apoptosis. Next, the loss of pluripotency was assessed in differentiating ES cell cultures. Using short-term in vitro differentiation protocols marker-based analyses and functional assays were performed.Functionally pluripotency was diminished after 2 days of differentiation as assessed by colony formation, embryoid body (EB) formation and cardiomyogenic differentiation approaches. In contrast, pluripotency marker expression was reduced at later time points. Further, the application of distinct differentiation systems (aggregation EB, clonal EB or monolayer (ML) culture) had an impact on the progression and homogeneity of differentiation cultures. To further study the end of pluripotency, differentiated ES cells were placed under ES cell culture conditions. The data suggest that 3 days differentiated ES cells had passed a point of no return and failed to regain Oct4-eGFP expression and that HDAC inhibitor treatment selectively killed differentiated ES cells. Finally, I aimed to study the effect of EED - a core subunit of the histone methylating Polycomb repressive complex 2 (PRC2) - on ES cell chromatin and function. ES cells lacking EED showed loss of histone H3 lysine 27 trimethylation (H3K27me3) accompanied by increased histone acetylation and reduced H3K9me3 levels. Despite typical ES cell morphology and pluripotency marker expression, EED knockout (KO) ES cells exhibited altered nuclear heterochromatin organization, delayed chromatin mobility and a failure in proper differentiation. Conclusively, my data provide insights into the epigenetic regulation of stem cells. Particularly, the results suggest that HDAC inhibitor treatment was detrimental for differentiated BM as well as for differentiated ES cells and that ES cells after 3 days of differentiation had lost pluripotency. Further, the data demonstrate that EED KO ES cells self renewed, exhibited morphology and pluripotency marker expression similar to wild type ES cells, but failed to differentiate. This indicates an important role of EED not only for undifferentiated but also for differentiating ES cells.
Semaphorin receptors in the immunological synapse: regulation and measles virus-driven modulation
(2010)
Measles virus (MV) infection causes approximately 164,000 deaths per year worldwide (WHO, 2008). The main cause of death is MV-induced immunosuppression but the underlying mechanisms are not fully understood. It has been suggested that MV renders T cells dysfunctional by disrupting the integrity of actin dynamics while MV infection of dendritic cells results in their inability to sustain T cell activation. During neuronal development, semaphorins (SEMAs), especially SEMA3A, induce a collapse of growing dendrites via the binding to plexin-A1 (plexA1) and its coreceptor neuropilin-1 (NP-1). The collapse results from a disruption of actin dynamics. In this study, the roles of these three molecules were investigated in human immune cells and their possible role in MV induced immunosuppression. The present data have shown that plexA1 is an important component of human immunological synapse (IS). It translocated transiently to the surface of T cells after CD3/28 ligation and accumulated at the stimulatory interface between T cells and DCs (or CD3/28 coated beads). When plexA1 expression was inhibited (RNAi) or its function was disrupted (exogenous blocking or dominant negative expression), T cell expansion was reduced. Upon MV exposure, translocation of plexA1 and NP-1, another important component of IS, towards the stimulatory interface in T cells was abrogated. Moreover, MV infection interfered with plexA1/NP-1 turnover in maturing DCs and promoted early and substantial release of SEMA3A from these cells, particularly in the presence of allogenic T cells. As revealed by scanning electron microscopy, the release of SEMA3A caused a transient loss of actin-based protrusions on T cells. SEMA3A affected chemotactic migration of T cells and DCs, and reduced formation of allogenic DC/T cell conjugates. In conclusion, MV targeted SEMA receptor function both by disrupting their recruitment to the IS and by promoting a premature release of their repulsive ligand, SEMA3A. Both of which could contribute to MV-induced immunosuppression.
Cooperation is beneficial for social groups and is exemplified in its most sophisticated form in social insects. In particular, eusocial Hymenoptera, like ants and honey bees, exhibit a level of cooperation only rarely matched by other animals. To assure effective defense of group members, foes need to be recognized reliably. Ants use low-volatile, colony-specific profiles of cuticular hydrocarbons (colony odor) to discriminate colony members (nestmates) from foreign workers (non-nestmates). For colony recognition, it is assumed that multi-component colony odors are compared to a neuronal template, located in a so far unidentified part of the nervous system, where a mismatch results in aggression. Alternatively, a sensory filter in the periphery of the nervous system has been suggested to act as a template, causing specific anosmia to nestmate colony odor due to sensory adaptation and effectively blocking perception of nestmates. Colony odors are not stable, but change over time due to environmental influences. To adjust for this, the recognition system has to be constantly updated (template reformation). In this thesis, I provide evidence that template reformation can be induced artificially, by modifying the sensory experience of carpenter ants (Camponotus floridanus; Chapter 1). The results of the experiments showed that template reformation is a relatively slow process taking several hours and this contradicts the adaptation-based sensory filter hypothesis. This finding is supported by first in-vivo measurements describing the neuronal processes underlying template reformation (Chapter 5). Neurophysiological measurements were impeded at the beginning of this study by the lack of adequate technical means to present colony odors. In a behavioral assay, I showed that tactile interaction is not necessary for colony recognition, although colony odors are of very low volatility (Chapter 2). I developed a novel stimulation technique (dummy-delivered stimulation) and tested its suitability for neurophysiological experiments (Chapter 3). My experiments showed that dummy-delivered stimulation is especially advantageous for presentation of low-volatile odors. Colony odor concentration in headspace was further increased by moderately heating the dummies, and this allowed me to measure neuronal correlates of colony odors in the peripheral and the central nervous system using electroantennography and calcium imaging, respectively (Chapter 4). Nestmate and non-nestmate colony odor elicited strong neuronal responses in olfactory receptor neurons of the antenna and in the functional units of the first olfactory neuropile of the ant brain, the glomeruli of the antennal lobe (AL). My results show that ants are not anosmic to nestmate colony odor and this clearly invalidates the previously suggested sensory filter hypothesis. Advanced two-photon microscopy allowed me to investigate the neuronal representation of colony odors in different neuroanatomical compartments of the AL (Chapter 5). Although neuronal activity was distributed inhomogeneously, I did not find exclusive representation restricted to a single AL compartment. This result indicates that information about colony odors is processed in parallel, using the computational power of the whole AL network. In the AL, the patterns of glomerular activity (spatial activity patterns) were variable, even in response to repeated stimulation with the same colony odor (Chapter 4&5). This finding is surprising, as earlier studies indicated that spatial activity patterns in the AL reflect how an odor is perceived by an animal (odor quality). Under natural conditions, multi-component odors constitute varying and fluctuating stimuli, and most probably animals are generally faced with the problem that these elicit variable neuronal responses. Two-photon microscopy revealed that variability was higher in response to nestmate than to non-nestmate colony odor (Chapter 5), possibly reflecting plasticity of the AL network, which allows template reformation. Due to their high variability, spatial activity patterns in response to different colony odors were not sufficiently distinct to allow attribution of odor qualities like ‘friend’ or ‘foe’. This finding challenges our current notion of how odor quality of complex, multi-component odors is coded. Additional neuronal parameters, e.g. precise timing of neuronal activity, are most likely necessary to allow discrimination. The lower variability of activity patterns elicited by non-nestmate compared to nestmate colony odor might facilitate recognition of non-nestmates at the next level of the olfactory pathway. My research efforts made the colony recognition system accessible for direct neurophysiological investigations. My results show that ants can perceive their own nestmates. The neuronal representation of colony odors is distributed across AL compartments, indicating parallel processing. Surprisingly, the spatial activity patterns in response to colony are highly variable, raising the question how odor quality is coded in this system. The experimental advance presented in this thesis will be useful to gain further insights into how social insects discriminate friends and foes. Furthermore, my work will be beneficial for the research field of insect olfaction as colony recognition in social insects is an excellent model system to study the coding of odor quality and long-term memory mechanisms underlying recognition of complex, multi-component odors.