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Glucocorticoids (GCs) are small lipophilic compounds that mediate a plethora of biological effects by binding to the intracellular glucocorticoid receptor (GR) which, in turn, translocates to the nucleus and directly or indirectly regulates gene transcription. GCs remain the cornerstone in the treatment for a number of hematological malignancies, including leukemia, lymphoma and myeloma. Extensive literature suggests that the efficacy of GCs stems from their ability to mediate apoptosis. Despite the enormous strides made in our understanding of regulated cell death, the exact mechanism by which GCs cause apoptosis is still unknown. The data obtained so far provide strong evidence that gene transactivation by the GR underlies the initiation phase of GC-induced thymocyte apoptosis. Furthermore, the multicatalytic proteasome, several members of the Bcl-2 family, changes in calcium flux as well as caspases have been identified as important players in the execution phase of GC-mediated cell death. However, the exact sequence of events in this process still remains elusive. A major problem of the current discussion arises from the fact that different cell types, such as thymocytes, peripheral T cells and lymphoma cells are compared without acknowledging their different characteristics and gene expression profiles. Although it is generally assumed that GCs induce apoptosis via a conserved mechanism, this is not supported by any data. In other words, it is possible that thymocytes, peripheral T cells and lymphoma cells may undergo cell death along different pathways. We therefore wondered whether a unique signal transduction pathway is engaged by GCs to initiate and execute cell death in all types of T lymphocytes or whether distinct pathways exist. Therefore, we compared the role of the proteasome, various caspases, the lysosomal compartment and other factors in GC-induced apoptosis of murine thymocytes and peripheral T cells as well as T-ALL lymphoma cells. Our findings show that the initiation phase of GC-induced apoptosis is similar irrespective of the differentiation state of the cell. Apoptosis in both thymocytes and peripheral T cells is mediated by the GR and depends on gene transcription. In contrast, the execution phase significantly differs between thymocyte and peripheral T cells in its requirement for a number of signal transduction components. Whilst in thymocytes, the proteasome, caspases 3, 8 and 9 as well as cathepsin B play an important role in GC-induced apoptosis, these factors are dispensable for the induction of cell death in peripheral T cells. In contrast, changes in the expression and intracellular location of Bcl-2 family members do not appear to contribute to GC-induced apoptosis in either cell type. Importantly, our observation that GC treatment of thymocytes leads to an activation of the lysosomal protease cathepsin B and that this is an essential step in the induction of cell death by GCs, is the first indication that a lysosomal amplification loop is involved in this process. Analysis of GC-induced apoptosis in several T-ALL cell lines further indicates that the signaling pathway induced by GCs in thymocytes but not in peripheral T cells is shared by all lymphoma cell-types analyzed. Given the therapeutic importance of high-dose GC-therapy for the treatment of hematological malignancies, this finding could potentially form a basis for new anti-cancer strategies in the future, which specifically target tumor cells whilst leaving peripheral T cells of patients untouched.
In this century new experimental and computational techniques are adding an enormous amount of information, revealing many biological mysteries. The complexities of biological systems still broach new questions. Till now the main approach to understand a system has been to divide it in components that can be studied. The upcoming new paradigm is to combine the pieces of information in order to understand it at a global level. In the present thesis we have tried to study infectious diseases with such a global ‘Systems Biology’ approach. In the first part the apoptosis pathway is analyzed. Apoptosis (Programmed cell death) is used as a counter measure in different infections, for example viral infections. The interactions between death domain containing proteins are studied to address the following questions: i) How specificity is maintained - showing that it is induced through adaptors, ii) how proliferation/ survival signals are induced during activation of apoptosis – suggesting the pivotal role of RIP. The model also allowed us to detect new possible interacting surfaces. The pathway is then studied at a global level in a time step simulation to understand the evolution of the topology of activators and inhibitors of the pathway. Signal processing is further modeled in detail for the apoptosis pathway in M. musculus to predict the concentration time course of effector caspases. Further, experimental measurements of caspase-3 and viability of cells validate the model. The second part focuses on the phagosome, an organelle which plays an essential role in removal of pathogens as exemplified by M. tuberculosis. Again the problem is addressed in two main sections: i) To understanding the processes that are inhibited by M. tuberculosis; we focused on the phospholipid network applying a time step simulation in section one, which plays an important role in inhibition or activation of actin polymerization on the phagosome membrane. ii) Furthermore, actin polymers are suggested to play a role in the fusion of the phagosome with lysosome. To check this hypothesis an in silico model was developed; we find that the search time is reduced by 5 fold in the presence of actin polymers. Further the effect of length of actin polymers, dimensions of lysosome, phagosome and other model parameter is analyzed. After studying a pathway and then an organelle, the next step was to move to the system. This was exemplified by the host pathogen interactions between Bordetella pertussis and Bordetella bronchiseptica. The limited availability of quantitative information was the crucial factor behind the choice of the model type. A Boolean model was developed which was used for a dynamic simulation. The results predict important factors playing a role in Bordetella pathology especially the importance of Th1 related responses and not Th2 related responses in the clearance of the pathogen. Some of the quantitative predictions have been counterchecked by experimental results such as the time course of infection in different mutants and wild type mice. All these computational models have been developed in presence of limited kinetic data. The success of these models has been validated by comparison with experimental observations. Comparative models studied in chapters 6 and 9 can be used to explore new host pathogen interactions. For example in chapter 6, the analysis of inhibitors and inhibitory paths in three organism leads to the identification of regulatory hotspots in complex organisms and in chapter 9 the identification of three phases in B. bronchiseptica and inhibition of IFN-γ by TTSS lead us to explore similar phases and inhibition of IFN-γ in B. pertussis. Further an important significance of these models is to identify new components playing an essential role in host-pathogen interactions. In silico deletions can point out such components which can be further analyzed by experimental mutations.