Intracellular network attractor selection and the problem of cell fate decision

This project aims at understanding how cell fate decision emerges from the overall intracellular network connectivity and dynamics. To achieve this goal both small paradigmatic signalling-gene regulatory networks and their generalization to highdimensional space were tested. Particularly, we drew special attention to the importance of the effects of time varying parameters in the decision genetic switch with external stimulation. The most striking feature of our findings is the clear and crucial impact of the rate with which the time-dependent parameters are changed. In the presence of small asymmetries and fluctuations, slow passage through the critical region increases substantially specific attractor selection by external transient perturbations. This has strong implications for the cell fate decision problem since cell phenotype in stem cell differentiation, cell cycle progression, or apoptosis studies, has been successfully identified as attractors of a whole network expression process induced by signalling events. Moreover, asymmetry and noise naturally exist in any integrative intracellular decision network. To further clarify the importance of the rate of parameter sweeping, we also studied models from non-equilibrium systems theory. These are traditional in the study of phase transitions in statistical physics and stood as a fundamental tool to extrapolate key results to intracellular network dynamics. Specifically, we analysed the effects of a time-dependent asymmetry in the canonical supercritical pitchfork bifurcation model, both by numerical simulations and analytical solutions. We complemented the discussion of cell fate decision with a study of the effects of non-specific targets of drugs on the Epidermal Growth Factor Receptor pathway. Pathway output has long been correlated with qualitative cell phenotype. Cancer network multitargeting therapies were assessed in the context of whole network attractor phenotypes and the importance of parameter sweeping speed

T cell epitope identification for bovine vaccines: An epitope mapping method for BoLA A-11

T cell responses play an important role in immunity to parasites and other microbial agents of infectious diseases, therefore a number of T cell-directed vaccines are in development. Computer-driven algorithms that facilitate the discovery of T cell epitopes from protein and genome sequences are now being used to accelerate preclinical studies of human vaccines. Similar tools are not yet available for predicting T cell epitopes for animal vaccines, but there may be sufficient data available to begin the process of compiling the algorithms. We describe the construction of a novel mathematical `matrix' that describes the properties of bovine major histocompatibility complex (BoLA) system antigen (BoLA) A-11 peptide ligands, developed for use with EpiMatrix, an existing T cell epitope-mapping algorithm. An alternative means of developing BoLA matrices, using the pocket profile method, is also discussed. Matrices such as the one described here may be used to develop T cell epitope-mapping tools for cattle and other ruminants. Epitope-mapping algorithms offer a significant advantage over other methods of epitope selection, such as the screening of synthetic overlapping peptides, because high throughput screening can be performed in silico, followed by ex vivo confirmatory studies. Furthermore, using epitope-mapping algorithms, putative T cell epitopes can be derived directly from genomic sequences, allowing researchers to circumvent labor-intensive cloning steps in the genome-to-vaccine discovery pathway

Reciprocal cross-protection induced by sporozoite antigens SPAG-1 from Theileria annulata and p67 from Theileria parva

Theileria annulata and Theileria parva both poses a major surface antigen on the sporozoite stage of the life-cycle, called SPAG-1 and p67, respectively. In each case, these antigens are vaccine candidates and have been shown to induce a degree of homologous protection in earlier work. These antigens share sequence homology and are serologically cross-reactive. Here, we confirm that these antigens confer protection against homologous species challenge. More importantly, they mutually confer a degree of cross-species protection raising the prospect of a common vaccine in the future