Fig. 7From: A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case studyTime courses in the IRF7 circuit after IFN stimulation. The temporal dynamics of the promoter, mRNA and IRF7 protein dynamics were obtained after stochastic simulations. A representative trajectory that presents a single cell dynamics is given by the red lines. The stochastic simulations were repeated 1000 times using the same initial condition obtaining the histograms that represent the cell population. a Time courses of IFN showing the evolution to a steady state, the same is observed in b for the ISGF3. c IRF7 promoter shows the transition between the two possible states Off/On. d IRF7 mRNA showing a basal expression state and a state of active expression. Bimodality is observed in e for the IRF7 protein, the same bimodal behavior was observed in f for the IRF7 phosphorylated protein, in g for the IRF7 protein dimer, and in h for all forms of the IRF7 proteinBack to article page