Fig. 4

The model predicts T-cell behaviour at the cellular level. a Overview of the differentiation process that converts a naïve cell into a fully differentiated Th2 cell. Each naïve cell goes through three different states: state A (Undivided), state B (Proliferating) and state C (Cytokine expressing). b The model with examples of state-specific cell transitions and their corresponding probabilities. Transition probabilities are labelled as follows: d death, i stay identical, s symmetric division, t transdifferentiation. In the table, best fits of the model transition probabilities (expressed as probability per 14 h) from flow cytometry data at day 3.5 are reported. Data are representative of three independent mice c AIC and BIC for two-, three- and four-state models (the asterisks indicate the minimum values). d Cell subpopulations in the flow data at day 3.5 and the model prediction with parameters extracted at day 3.5. e Population dynamics of the three states over a 4-day period as predicted by the model. f The ratio between proportions of cells in G2 versus G1 is used as a measure of cell cycle speed when comparing both positive and negative cells within each individual generation (experiments are representative of four independent mice. Error bars indicate Standard Deviation, p value <0.01). g Live imaging of GEN4P versus GEN4N cells. Representative pictures from the live imaging time course experiment of G4N (top) and G4P (bottom) cells. Distribution of time of first division for G4N (gray) and G4P (green) cells (p-value <0.001)