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This thesis is devoted to Bernoulli Stochastics, which was initiated by Jakob Bernoulli more than 300 years ago by his master piece 'Ars conjectandi', which can be translated as 'Science of Prediction'. Thus, Jakob Bernoulli's Stochastics focus on prediction in contrast to the later emerging disciplines probability theory, statistics and mathematical statistics. Only recently Jakob Bernoulli's focus was taken up von Collani, who developed a unified theory of uncertainty aiming at making reliable and accurate predictions. In this thesis, teaching material as well as a virtual classroom are developed for fostering ideas and techniques initiated by Jakob Bernoulli and elaborated by Elart von Collani. The thesis is part of an extensively construed project called 'Stochastikon' aiming at introducing Bernoulli Stochastics as a unified science of prediction and measurement under uncertainty. This ambitious aim shall be reached by the development of an internet-based comprehensive system offering the science of Bernoulli Stochastics on any level of application. So far it is planned that the 'Stochastikon' system (http://www.stochastikon.com/) will consist of five subsystems. Two of them are developed and introduced in this thesis. The first one is the e-learning programme 'Stochastikon Magister' and the second one 'Stochastikon Graphics' that provides the entire Stochastikon system with graphical illustrations. E-learning is the outcome of merging education and internet techniques. E-learning is characterized by the facts that teaching and learning are independent of place and time and of the availability of specially trained teachers. Knowledge offering as well as knowledge transferring are realized by using modern information technologies. Nowadays more and more e-learning environments are based on the internet as the primary tool for communication and presentation. E-learning presentation tools are for instance text-files, pictures, graphics, audio and videos, which can be networked with each other. There could be no limit as to the access to teaching contents. Moreover, the students can adapt the speed of learning to their individual abilities. E-learning is particularly appropriate for newly arising scientific and technical disciplines, which generally cannot be presented by traditional learning methods sufficiently well, because neither trained teachers nor textbooks are available. The first part of this dissertation introduces the state of the art of e-learning in statistics, since statistics and Bernoulli Stochastics are both based on probability theory and exhibit many similar features. Since Stochastikon Magister is the first e-learning programme for Bernoulli Stochastics, the educational statistics systems is selected for the purpose of comparison and evaluation. This makes sense as both disciplines are an attempt to handle uncertainty and use methods that often can be directly compared. The second part of this dissertation is devoted to Bernoulli Stochastics. This part aims at outlining the content of two courses, which have been developed for the anticipated e-learning programme Stochastikon Magister in order to show the difficulties in teaching, understanding and applying Bernoulli Stochastics. The third part discusses the realization of the e-learning programme Stochastikon Magister, its design and implementation, which aims at offering a systematic learning of principles and techniques developed in Bernoulli Stochastics. The resulting e-learning programme differs from the commonly developed e-learning programmes as it is an attempt to provide a virtual classroom that simulates all the functions of real classroom teaching. This is in general not necessary, since most of the e-learning programmes aim at supporting existing classroom teaching. The forth part presents two empirical evaluations of Stochastikon Magister. The evaluations are performed by means of comparisons between traditional classroom learning in statistics and e-learning of Bernoulli Stochastics. The aim is to assess the usability and learnability of Stochastikon Magister. Finally, the fifth part of this dissertation is added as an appendix. It refers to Stochastikon Graphics, the fifth component of the entire Stochastikon system. Stochastikon Graphics provides the other components with graphical representations of concepts, procedures and results obtained or used in the framework of Bernoulli Stochastics. The primary aim of this thesis is the development of an appropriate software for the anticipated e-learning environment meant for Bernoulli Stochastics, while the preparation of the necessary teaching material constitutes only a secondary aim used for demonstrating the functionality of the e-learning platform and the scientific novelty of Bernoulli Stochastics. To this end, a first version of two teaching courses are developed, implemented and offered on-line in order to collect practical experiences. The two courses, which were developed as part of this projects are submitted as a supplement to this dissertation. For the time being the first experience with the e-learning programme Stochastikon Magister has been made. Students of different faculties of the University of Würzburg, as well as researchers and engineers, who are involved in the Stochastikon project have obtained access to Stochastikon Magister via internet. They have registered for Stochastikon Magister and participated in the course programme. This thesis reports on two assessments of these first experiences and the results will lead to further improvements with respect to content and organization of Stochastikon Magister.
This work is composed of three main parts: remote control of mobile systems via Internet, ad-hoc networks of mobile robots, and remote control of mobile robots via 3G telecommunication technologies. The first part gives a detailed state of the art and a discussion of the problems to be solved in order to teleoperate mobile robots via the Internet. The focus of the application to be realized is set on a distributed tele-laboratory with remote experiments on mobile robots which can be accessed world-wide via the Internet. Therefore, analyses of the communication link are used in order to realize a robust system. The developed and implemented architecture of this distributed tele-laboratory allows for a smooth access also with a variable or low link quality. The second part covers the application of ad-hoc networks for mobile robots. The networking of mobile robots via mobile ad-hoc networks is a very promising approach to realize integrated telematic systems without relying on preexisting communication infrastructure. Relevant civilian application scenarios are for example in the area of search and rescue operations where first responders are supported by multi-robot systems. Here, mobile robots, humans, and also existing stationary sensors can be connected very fast and efficient. Therefore, this work investigates and analyses the performance of different ad-hoc routing protocols for IEEE 802.11 based wireless networks in relevant scenarios. The analysis of the different protocols allows for an optimization of the parameter settings in order to use these ad-hoc routing protocols for mobile robot teleoperation. Also guidelines for the realization of such telematics systems are given. Also traffic shaping mechanisms of application layer are presented which allow for a more efficient use of the communication link. An additional application scenario, the integration of a small size helicopter into an IP based ad-hoc network, is presented. The teleoperation of mobile robots via 3G telecommunication technologies is addressed in the third part of this work. The high availability, high mobility, and the high bandwidth provide a very interesting opportunity to realize scenarios for the teleoperation of mobile robots or industrial remote maintenance. This work analyses important parameters of the UMTS communication link and investigates also the characteristics for different data streams. These analyses are used to give guidelines which are necessary for the realization of or industrial remote maintenance or mobile robot teleoperation scenarios. All the results and guidelines for the design of telematic systems in this work were derived from analyses and experiments with real hardware.
Aim of this thesis was to study the contribution of the hosts immune system during tumor regression. A wild-type rejection model was studied in which tumor regression is mediated through an adaptive, T cell host response (Research article 1). Additionally, the relationship between VACV infection and cancer rejection was assessed by applying organism-specific microarray platforms to infected and non-infected xenografts. It could be shown that tumor rejection in this nude mouse model was orchestrated solely by the hosts innate immune system without help of the adaptive immunity. In a third study the inflammatory baseline status of 75 human cancer cell lines was tested in vitro which was correlated with the susceptibility to VACV and Adenovirus 5 (Ad5) replication of the respective cell line (Manuscript for Research article 3). Although xenografts by themselves lack the ability to signal danger and do not provide sufficient proinflammatory signals to induce acute inflammation, the presence of viral replication in the oncolytic xenograft model provides the "tissue-specific trigger" that activates the immune response and in concordance with the hypothesis, the ICR is activated when chronic inflammation is switched into an acute one. Thus, in conditions in which a switch from a chronic to an acute inflammatory process can be induced by other factors like the immune-stimulation induced by the presence of a virus in the target tissue, adaptive immune responses may not be necessary and immune-mediated rejection can occur without the assistance of T or B cells. However, in the regression study using neu expressing MMC in absence of a stimulus such as a virus and infected cancer cells thereafter, adaptive immunity is needed to provoke the switch into an acute inflammation and initiate tissue rejection. Taken together, this work is supportive of the hypothesis that the mechanisms prompting TSD differ among immune pathologies but the effect phase converges and central molecules can be detected over and over every time TSD occurs. It could be shown that in presence of a trigger such as infection with VACV and functional danger signaling pathways of the infected tumor cells, innate immunity is sufficient to orchestrate rejection of manifested tumors.
Plants exposed to herbivory may defend themselves by attracting the “enemies of their enemies”, a phenomenon called induced indirect defense (IID). In this process, the de novo production and emission of volatile organic compounds (VOC) by the affected plant is activated via a jasmonic acid (JA) dependent signaling cascade. VOC can be very specific for the inducing herbivore as well as for the emitting plant. Carnivores as predatory mites and parasitoid wasps use these substances as prey- or host-finding cues. If the herbivore is parasitized successfully, its development is slowed and thus the damage of the plant is decreased. Additional abiotic stress may modulate the plant’s ability to produce and/or emit herbivore induced VOC. Ultraviolet (UV) radiation can have multiple physiological effects on plants, amongst others the activation of the expression of genes that are also activated during anti-herbivore defense. To investigate UV effects, foils with different UV transmittance were used to manipulate ambient solar radiation. One foil was permeable for the whole solar spectrum including UV radiation whereas the other excluded radiation below a wavelength of 400 nm. Soybean exposed to UV increased concentrations of isorhamnetin- and quercetin-based flavonoids as effective photo-protective compounds in the leaves and showed a reduced growth compared to plants exposed to ambient radiation lacking UV. The altered chemical composition of the leaves had no effect on food choice and performance of herbivorous Spodoptera frugiperda larvae. Photo-protection by flavonoids seems to be efficient to prevent further UV effects on IID as plants of both treatments emitted the same blend of induced VOC and hence females of the parasitoid Cotesia marginiventris did not prefer plants from on of the treatments in the olfactometer. Nitrogen is one important macronutrient for all trophic levels and thus deficiency of this nutrient was expected to affect IID of soybean profoundly. To manipulate N availability for soybean plants hydroponic culture was used. One treatment was cultured in a standard hydroponic solution whereas in the N deficiency treatment in the solution all salts containing N were replaced with N-free salts. In N deficient plants root biomass was increased to allow the plant to forage more efficiently for the nutrient. Despite this morphological adaptation, photosynthetic efficiency as well as leaf N and soluble protein content were reduced significantly in N deficient soybean. The N deficiency was passed on to the third trophic level as herbivores fed with the affected leaves had a reduced body N content on her part and showed a decreased growth but no feeding preference for the superior food. Parasitoids reared in such N deficient herbivores had significant lower pupal weight compared to parasitoids reared in hosts fed with fully fertilized soybean. N deficient plants emitted a quantitatively altered herbivore induced blend. The two terpenes β-Bergamotene and (E,E)-α-Farnesene were emitted in higher amounts whereas (Z)-3-Hexenyl-α-methylbutyrate was emitted in significantly lower amount. Despite this quantitatively modified VOC blend the parasitoids host-searching behavior was not affected. Heavy metals (HM) are proposed to affect various biochemical pathways in plants including defense pathways by production of reactive oxygen species (ROS) in the tissue. The ROS on its part may affect production and release of endogenous JA, an important messenger in defense signaling. In this study maize plants were grown hydroponically and exposed to different increased concentrations of copper and cadmium. Maize seems to be able to exclude the excess HM from the leaves because the HM were found mainly in the roots and only to a minor degree in the shoots of the plants. Despite this exclusion the HM significantly affected uptake of other metal ions into the plant. The excess of the HM in combination with the attenuated uptake of other ions led to a reduced growth of roots and shoots as well as to reduced photosynthetic efficiency. Thus the nutritional value of the plants for the herbivore was lowered either by direct toxic effects of the HM or indirectly by altering plant chemical composition. S. frugiperda larvae fed with leaves exposed to high HM concentrations showed a significantly reduced growth but they did prefer neither control nor HM treated plants in a food-choice assay. Cu had a transient priming effect on JA as pre-exposure to a high excess of Cu led to higher amounts of herbivore induced JA compared to control plants exposed only to standard concentration of Cu. As anticipated the increased JA was followed by an increase in herbivore induced VOC in high-Cu treated plants caused by a increase of the green leaf volatiles (E)-3-Hexenal, (Z)-3-Hexenol and (Z)-3-Hexenylacetat and the terpenes Linalool, (E)-α-Bergamotene, (E)-β-Farnesene, and β-Sesquiphellandrene. Despite these profound changes in herbivore induced VOC the parasitoids host searching behavior was not affected. As described, the abiotic stresses UV, N deficiency and excess HM affected the morphology and physiology of soybean and maize, the performance of the herbivore S. frugiperda and even the performance of the parasitoid C. marginiventris. However the host searching behavior of the parasitoid was not affected even if the herbivore induced VOC blend was altered. Thus parasitoids seem to be a very reliable defender for plants and IID a very robust way of herbivore defense.
The aim of this project was to investigate whether reflex-like innate facial reactions to tastes and odors are altered in patients with eating disorders. Qualitatively different tastes and odors have been found to elicit specific facial expressions in newborns. This specificity in newborns is characterized by positive facial reactions in response to pleasant stimuli and by negative facial reactions in response to unpleasant stimuli. It is, however, unclear, whether these specific facial displays remain stable during ontogeny (1). Despite the fact that several studies had shown that taste-and odor-elicited facial reactions remain quite stable across a human’s life-span, the specificity of research questions, as well as different research methods, allow only limited comparisons between studies. Moreover, the gustofacial response patterns might be altered in pathological eating behavior (2). To date, however, the question of whether dysfunctional eating behavior might alter facial activity in response to tastes and odors has not been addressed. Furthermore, changes in facial activity might be linked to deficient inhibitory facial control (3). To investigate these three research questions, facial reactions in response to tastes and odors were assessed. Facial reactions were analyzed using the Facial Action Coding System (FACS, Ekman & Friesen, 1978; Ekman, Friesen, & Hager, 2002) and electromyography.
In our analysis I was interested in the gene duplications, with focus on in-paralogs. In-paralogs are gene duplicates which arose after species split. Here I analysed the in-paralogs quantitatively, as well as qualitatively. For quantitative analysis genomes of 21 species were taken. Most of them have vastly different lifestyles with maximum evolutionary distance between them 1100 million years. Species included mammals, fish, insects and worm, plus some other chordates. All the species were pairwised analysed by the Inparanoid software, and in-paralogs matrix were built representing number of in-paralogs in all vs. all manner. Based on the in-paralogs matrix I tried to reconstruct the evolutionary tree using in-paralog numbers as evolutionary distance. If all 21 species were used the resulting tree was very far from real one: a lot of species were misplaced. However if the number was reduced to 12, all of the species were placed correctly with only difference being wrong insect and fish clusters switched. Then to in-paralogs matrix the neighbour-net algorithm was applied. The resulting "net" tree showed the species with fast or slow duplications rates compared to the others. We could identify species with very high or very low duplications frequencies and it correlates with known occurrences of the whole genome duplications. As the next step I built the graphs for every single species showing the correlation between their in-paralogs number and evolutionary distance. As we have 21 species, graph for every species is built using 20 points. Coordinates of the points are set using the evolutionary distance to that particular species and in-paralogs number. In mammals with increasing the distance from speciation the in-paralogs number also increased, however not in linear fashion. In fish and insects the graph close to zero is just the same in mammals' case. However, after reaching the evolutionary distances more than 800 million years the number of inparalogs is beginning to decrease. We also made a simulation of gene duplications for all 21 species and all the splits according to the fossil and molecular clock data from literature. In our simulation duplication frequency was minimal closer to the past and maximum in the near-present time. Resulting curves had the same shape the experimental data ones. In case of fish and insect for simulation the duplication rate coefficient even had to be set negative in order to repeat experimental curve shape. To the duplication rate coefficient in our simulation contribute 2 criteria: gene duplications and gene losses. As gene duplication is stochastical process it should always be a constant. So the changing in the coefficient should be solely explained by the increasing gene loss of old genes. The processes are explained by the evolution model with high gene duplication and loss ratio. The drop in number of in-paralogs is probably due to the BLAST algorithm. It is observed in comparing highly divergent species and BLAST cannot find the orthologs so precisely anymore. In the second part of my work I concentrated more on the specific function of inparalogs. Because such analysis is time-consuming it could be done on the limited number species. Here I used three insects: Drosophila melanogaster (fruit y), Anopheles gambiae (mosquito) and Apis mellifera (honeybee). After Inparnoid analyses and I listed the cluster of orthologs. Functional analyses of all listed genes were done using GO annotations and also KEGG PATHWAY database. We found, that the gene duplication pattern is unique for each species and that this uniqueness is rejected through the differences in functional classes of duplicated genes. The preferences for some classes reject the evolutionary trends of the last 350 million years and allow assumptions on the role of those genes duplications in the lifestyle of species. Furthermore, the observed gene duplications allowed me to find connections between genomic changes and their phenotypic manifestations. For example I found duplications within carbohydrate metabolism rejecting feed pattern adaptation, within photo- and olfactory-receptors indicating sensing adaptation and within troponin indicating adaptations in the development. Despite these species specific differences, found high correlations between the independently duplicated genes between the species. This might hint for a "pool" of genes preferentially duplicated. Taken together, the observed duplication patterns reject the adaptational process and provide us another link to the field of genomic zoology.
Applying microarray‐based techniques to study gene expression patterns: a bio‐computational approach
(2010)
The regulation and maintenance of iron homeostasis is critical to human health. As a constituent of hemoglobin, iron is essential for oxygen transport and significant iron deficiency leads to anemia. Eukaryotic cells require iron for survival and proliferation. Iron is part of hemoproteins, iron-sulfur (Fe-S) proteins, and other proteins with functional groups that require iron as a cofactor. At the cellular level, iron uptake, utilization, storage, and export are regulated at different molecular levels (transcriptional, mRNA stability, translational, and posttranslational). Iron regulatory proteins (IRPs) 1 and 2 post-transcriptionally control mammalian iron homeostasis by binding to iron-responsive elements (IREs), conserved RNA stem-loop structures located in the 5’- or 3‘- untranslated regions of genes involved in iron metabolism (e.g. FTH1, FTL, and TFRC). To identify novel IRE-containing mRNAs, we integrated biochemical, biocomputational, and microarray-based experimental approaches. Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, production and manipulations are limiting factors, affecting data quality. The use of customized DNA microarrays improves overall data quality in many situations, however, only if for these specifically designed microarrays analysis tools are available. Methods In this project response to the iron treatment was examined under different conditions using bioinformatical methods. This would improve our understanding of an iron regulatory network. For these purposes we used microarray gene expression data. To identify novel IRE-containing mRNAs biochemical, biocomputational, and microarray-based experimental approaches were integrated. IRP/IRE messenger ribonucleoproteins were immunoselected and their mRNA composition was analysed using an IronChip microarray enriched for genes predicted computationally to contain IRE-like motifs. Analysis of IronChip microarray data requires specialized tool which can use all advantages of a customized microarray platform. Novel decision-tree based algorithm was implemented using Perl in IronChip Evaluation Package (ICEP). Results IRE-like motifs were identified from genomic nucleic acid databases by an algorithm combining primary nucleic acid sequence and RNA structural criteria. Depending on the choice of constraining criteria, such computational screens tend to generate a large number of false positives. To refine the search and reduce the number of false positive hits, additional constraints were introduced. The refined screen yielded 15 IRE-like motifs. A second approach made use of a reported list of 230 IRE-like sequences obtained from screening UTR databases. We selected 6 out of these 230 entries based on the ability of the lower IRE stem to form at least 6 out of 7 bp. Corresponding ESTs were spotted onto the human or mouse versions of the IronChip and the results were analysed using ICEP. Our data show that the immunoselection/microarray strategy is a feasible approach for screening bioinformatically predicted IRE genes and the detection of novel IRE-containing mRNAs. In addition, we identified a novel IRE-containing gene CDC14A (Sanchez M, et al. 2006). The IronChip Evaluation Package (ICEP) is a collection of Perl utilities and an easy to use data evaluation pipeline for the analysis of microarray data with a focus on data quality of custom-designed microarrays. The package has been developed for the statistical and bioinformatical analysis of the custom cDNA microarray IronChip, but can be easily adapted for other cDNA or oligonucleotide-based designed microarray platforms. ICEP uses decision tree-based algorithms to assign quality flags and performs robust analysis based on chip design properties regarding multiple repetitions, ratio cut-off, background and negative controls (Vainshtein Y, et al., 2010).
The aim of the present thesis was to explore how food deprivation and reward expectancy versus frustrative nonreward change implicit and explicit food-liking and food-wanting. As a result, Experiment 1-3 were successful in revealing that liking- and wanting-related associations toward food stimuli dissociate as a function of food deprivation, given that participants were not rewarded with real food during the experiment. More specifically, whereas food-deprived participants showed more wanting-related associations toward food stimuli than satiated participants, the liking-related associations did not differ across both conditions of hunger. Overall, this effect could be replicated in 3 experiments using different manipulations of nonreward versus reward expectancy. However, neither food deprivation nor nonreward were found to influence participants’ self-reported mood and frustration. Moreover, participants of Experiment 2 anticipating food consumption showed the same liking- and wanting-related responses due to food deprivation than participants in the nonreward condition. But providing participants with individual control over food consumption abolished the dissociation of liking- and wanting-related associations. In this condition, however, participants’ liking- and wanting-related associations were not moderated by need state, maybe due to the (partial) consumption of snack food before the implicit attitude assessment. This, in turn, may have reduced participants’ disposition to respond with more liking- and wanting-related associations when being hungry. Finally, Experiment 4 revealed that the presentation of need-relevant vs. need-irrelevant stimuli prompted different liking-related associations depending on the time participants had fasted before the experiment. Specifically, it could be demonstrated that whereas moderately-hungry compared to satiated participants responded with more positive associations toward need-relevant stimuli, 15 hours food-deprived participants responded with more negative associations compared to moderately-hungry and satiated participants. Respectively, a significant curvilinear function of need state was obtained. In addition, participants were found to immediately respond more negatively to need-irrelevant stimuli as soon as they became moderately hungry, evidencing devaluation effects (see Brendl, Markman, & Messner, 2003) to also occur on an implicit level of responding. Contrary to the implicit liking- and wanting-related evaluations, self-reported explicit food-liking and food-wanting did not dissociate as a function of food deprivation and nonreward, revealing that participants’ explicit self-reports of food-liking and food-wanting did not mirror their implicit responses. As the most important result, it could be demonstrated that explicit food-liking and food-wanting varied positively as a function of need state. The results were discussed on the background of different theoretical assumptions on the malleability of implicit and explicit need-relevant attitudes (e.g. motivational theories, frustrative nonreward).
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.
Allogeneic hematopoietic stem cell transplantation (HSCT) is often the only effective treatment for patients with hematological malignancies, but its curative potential is often limited by the development of acute or chronic graft-versus-host disease (GvHD). Although extensive immunosuppressive therapy is highly efficient in the prevention or treatment of GvHD, it greatly increases the risk for life-threatening opportunistic fungal or viral infections and the recurrence of malignant disease. The possibility to selectively deplete alloreactive T cells from donor grafts prior or after transplantation would greatly diminish the need for immunosuppressive therapy in the transplant recipient and thereby greatly improve its clinical outcome. The molecular chaperone heat shock protein of 90 kDa (Hsp90) has been previously shown to stabilize many signal transduction proteins involved in T lymphocyte activation and proliferation and is furthermore able to exert anti-apoptotic effects in different cell types. The aim of this study was therefore to investigate the possibility to selectively target activated, proliferating T cells in lymphocyte populations by inhibition of Hsp90, without compromising viability and function of non-reactive T cell populations including pathogen-specific T lymphocytes. It could be shown in this work, that activated T cells are indeed more prone to apoptotic cell death in the presence of Hsp90 inhibitors than resting cells and that treatment of mixed lymphocyte cultures with such inhibitors eliminates the proliferation of alloreactive cells. In contrast, T cells remaining in a resting state during inhibitor treatment remain viable and also display functional virus-specific responses after inhibitor removal. These data suggest, that Hsp90 could represent a novel target for selective depletion of alloreactive T cells and that application of Hsp90 inhibitors could be a potential approach to prevent or treat GvHD without impairing pathogen-specific T cell immunity. In the second part of this work, the immune responses to strictly defined antigens of the opportunistic pathogenic fungus Aspergillus fumigatus were characterized. Opportunistic fungal infections are highly prevalent in immunocompromized and immunosuppressed individuals, especially in HSCT recipients suffering from GvDH. Although antifungal treatment is permanently improved, invasive fungal infections are still often fatal. In healthy individuals clinical disease is rare, because innate and adaptive immunity act in conjunction to protect the host. Therefore one possible strategy to prevent and treat life-threatening fungal infections in immunocompromized patients is to improve host resistance by augmenting the antifungal functions of the immune system, for example by vaccination or adoptive transfer of antigen-specific T cells. Based on previous findings, the objective of this dissertation was to identify and characterize distinct immunogenic A. fumigatus antigens that could be used for clinical application like vaccination or ex vivo generation of antigen-specific T cells and to characterize the interaction of this antigen-specific lymphocytes with cells of the innate immune system. First, memory T cell responses to different recombinant A. fumigatus proteins in healthy individuals were evaluated. The majority of tested donors displayed stable CD4+ TH1 responses to the Crf1 protein, whereas responses to the other antigens tested could only be detected in a limited number of donors, qualifying Crf1 as potential candidate antigen for clinical use. It was also possible to identify an immunodominant MHC class II DRB1*04-restricted epitope of Crf1 and to generate T cell clones specific for this epitope. This Crf1-specific T cell clones could be specifically activated by dendritic cells fed with synthetic peptide, recombinant protein or germinating A. fumigatus conidia or outgrown hyphae. Interestingly, these A. fumigatus-specific T cell clones also responded to stimulation with Candida albicans, which likewise causes opportunistic infections in immunocompromized patients and encodes for a glucosyltransferase similar to A. fumigatus Crf1. It was also possible to show that supernatant harvested from activated Crf1-specific T cell cultures was able to significantly increase fungal killing by monocytes. These data indicate that the specified FHT epitope of the A. fumigatus protein Crf1 could be potentially used as antigen for vaccination protocols or for the generation of Aspergillus-specific effector T cells for adoptive transfer.