Stochastic modeling of gene activation and application to cell regulation

Abstract

Transcription factors (TFs) are key regulators of gene expression. Based on the classical scenario in which the TF search process switches between one-dimensional motion along the DNA molecule and free Brownian motion in the nucleus, we study the arrival time of several TFs to multiple binding sites and derive, in the presence of competitive binding ligands, the probability that several target sites are bound. We then apply our results to the hunchback regulation by bicoid in the fly embryo and we propose a general mechanism that allows cells to read a morphogenetic gradient and specialize according to their position in the embryo.