Regulation of lymphocyte response in vitro and in vivo

CD4+ T helper (Th) cells have an important role in the defence against diverse pathogens. Th cells can differentiate into several functionally distinct subtypes including Th1 and Th2 cells. Th1 cells are important for eradicating intracellular pathogens, whereas Th2 cells pro¬tect our body against extracellular parasites. However if uncontrolled, Th cells can mediate immunopathology such as asthma or allergies, but inappropriate Th response can also lead to autoimmune diseases such as multiple sclerosis or type 1 diabetes. Deeper knowledge of the regulation of the lymphocyte response both in vitro and in vivo is important for un¬derstanding the pathogenesis of immune-mediated diseases and microbe-host interactions. In the work presented in this thesis, the first goal was to elucidate the role of novel factors, PIM kinases and c-FLIP in the regulation of human Th cell differentiation. The oncogenic serine-threonine kinases of the PIM family were shown to be preferentially expressed in Th1 cells and in addition, by using RNA interference, they were also shown to be positive regulators of Th1 differentiation. The PIM depletion experiments suggest that PIM kinases promote the expression of the hallmark cytokine of Th1 cells, IFNγ, and influence the IL12/STAT4 pathway during the early Th1 cell differentiation. In addition to cytokine and T cell receptor (TCR) induced pathways, caspase activity has been shown to regulate Th cell proliferation. In the work presented in this thesis, the two isoforms of the caspase regulator protein, c-FLIP, were shown to be differentially ex¬pressed in Th1 and Th2 cells. Both of the isoforms were up-regulated in response to TCR activation, but the expression of the short isoform was selectively induced by IL4, the Th2 inducing cytokine. Furthermore, the c-FLIP isoforms had distinct and opposite roles during the early differentiation of Th1 and Th2 cells. The knockdown of the long isoform of c-FLIP led to the induction of Th1 marker genes, such as IFNγ and TBET, whereas the depletion of c-FLIP short down-regulated Th2 marker genes IL-4 and GATA3. The third goal was to elucidate the gene expression profiles characterizing the T- and B-lymphocyte responses in vivo during experimental infection by intracellular bacte¬rium Chlamydia pneumoniae. Previously, it has been shown that CD8+ and CD4+ T cells are important for the protection against Chlamydia pneumoniae. In this study, the analysis revealed up-regulation of interferon induced genes during recurrent infection underlining the importance of IFNγ secreted by Th1 and CD8+ T cells in the protection against this pathogen. Taken together, in this study novel regulators of Th cell differ¬entiation were discovered and in addition the gene expression profiles of lymphocytes induced by Chlamydia pneumoniae infection were characterized.

Computational models for and from biology : simple gene assembly and reaction systems

The advancement of science and technology makes it clear that no single perspective is any longer sufficient to describe the true nature of any phenomenon. That is why the interdisciplinary research is gaining more attention overtime. An excellent example of this type of research is natural computing which stands on the borderline between biology and computer science. The contribution of research done in natural computing is twofold: on one hand, it sheds light into how nature works and how it processes information and, on the other hand, it provides some guidelines on how to design bio-inspired technologies. The first direction in this thesis focuses on a nature-inspired process called gene assembly in ciliates. The second one studies reaction systems, as a modeling framework with its rationale built upon the biochemical interactions happening within a cell. The process of gene assembly in ciliates has attracted a lot of attention as a research topic in the past 15 years. Two main modelling frameworks have been initially proposed in the end of 1990s to capture ciliates’ gene assembly process, namely the intermolecular model and the intramolecular model. They were followed by other model proposals such as templatebased assembly and DNA rearrangement pathways recombination models. In this thesis we are interested in a variation of the intramolecular model called simple gene assembly model, which focuses on the simplest possible folds in the assembly process. We propose a new framework called directed overlap-inclusion (DOI) graphs to overcome the limitations that previously introduced models faced in capturing all the combinatorial details of the simple gene assembly process. We investigate a number of combinatorial properties of these graphs, including a necessary property in terms of forbidden induced subgraphs. We also introduce DOI graph-based rewriting rules that capture all the operations of the simple gene assembly model and prove that they are equivalent to the string-based formalization of the model. Reaction systems (RS) is another nature-inspired modeling framework that is studied in this thesis. Reaction systems’ rationale is based upon two main regulation mechanisms, facilitation and inhibition, which control the interactions between biochemical reactions. Reaction systems is a complementary modeling framework to traditional quantitative frameworks, focusing on explicit cause-effect relationships between reactions. The explicit formulation of facilitation and inhibition mechanisms behind reactions, as well as the focus on interactions between reactions (rather than dynamics of concentrations) makes their applicability potentially wide and useful beyond biological case studies. In this thesis, we construct a reaction system model corresponding to the heat shock response mechanism based on a novel concept of dominance graph that captures the competition on resources in the ODE model. We also introduce for RS various concepts inspired by biology, e.g., mass conservation, steady state, periodicity, etc., to do model checking of the reaction systems based models. We prove that the complexity of the decision problems related to these properties varies from P to NP- and coNP-complete to PSPACE-complete. We further focus on the mass conservation relation in an RS and introduce the conservation dependency graph to capture the relation between the species and also propose an algorithm to list the conserved sets of a given reaction system.