A Mechanistic Computational Model Reveals That Plasticity of CD4 T Cell Differentiation Is a Function of Cytokine Composition and Dosage.

CD4 T cells provide cell-mediated immunity in response to various antigens. During an immune response, naïve CD4 T cells differentiate into specialized effector T helper (Th1, Th2, and Th17) cells and induced regulatory (iTreg) cells based on a cytokine milieu. In recent studies, complex phenotypes resembling more than one classical T cell lineage have been experimentally observed.

Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models.

The eukaryotic cell cycle is robustly designed, with interacting molecules organized within a definite topology that ensures temporal precision of its phase transitions. Its underlying dynamics are regulated by molecular switches, for which remarkable insights have been provided by genetic and molecular biology efforts. In a number of cases, this information has been made predictive, through computational models.

Ergodic sets as cell phenotype of budding yeast cell cycle.

It has been suggested that irreducible sets of states in Probabilistic Boolean Networks correspond to cellular phenotype. In this study, we identify such sets of states for each phase of the budding yeast cell cycle. We find that these "ergodic sets" underly the cyclin activity levels during each phase of the cell cycle.