Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling.

ABSTRACT: Single-cell gene expression is inherently variable, but how this variability is controlled in response to stimulation remains unclear. Here, we use single-cell RNA-seq and single-molecule mRNA counting (smFISH) to study inducible gene expression in the immune toll-like receptor system. We show that mRNA counts of tumor necrosis factor α conform to a standard stochastic switch model, while transcription of interleukin-1β involves an additional regulatory step resulting in increased heterogeneity. Despite different modes of regulation, systematic analysis of single-cell data for a range of genes demonstrates that the variability in transcript count is linearly constrained by the mean response over a range of conditions. Mathematical modeling of smFISH counts and experimental perturbation of

SUBMITTER: Bagnall J 

PROVIDER: S-EPMC7521480 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature