Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models.

ABSTRACT: Gene expression in individual cells is highly variable and sporadic, often resulting in the synthesis of mRNAs and proteins in bursts. Such bursting has important consequences for cell-fate decisions in diverse processes ranging from HIV-1 viral infections to stem-cell differentiation. It is generally assumed that bursts are geometrically distributed and that they arrive according to a Poisson process. On the other hand, recent single-cell experiments provide evidence for complex burst arrival processes, highlighting the need for analysis of more general stochastic models. To address this issue, we invoke a mapping between general stochastic models of gene expression and systems studied in queueing theory to derive exact analytical expressions for the moments associated with mRNA/protein s

SUBMITTER: Kumar N 

PROVIDER: S-EPMC4608583 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature