Impact of cross-correlated sine-Wiener noises in the gene transcriptional regulatory system

Abstract

We studied fluctuation-induced switching processes in the gene transcriptional regulatory system under cross-correlated sine-Wiener (CCSW) noises. It is numerically demonstrated that the increase of the multiplicative noise intensity A and cross-correlation time τ in CCSW noises can reduce the concentration of the TF-A monomer and switch to an “off” state. In addition, when the cross-correlation time τ is small, the increase of the additive noise intensity B leads to a switch of the process from “off”→“on”. Simultaneously, the increase of the cross-correlation intensity λ of CCSW noises contributes to maintaining the current state. When the cross-correlation time is large, the high concentration state has two peaks and the stationary probability distribution presents a three-peak structure.