Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data.

ABSTRACT: Many genes are expressed in bursts, which can contribute to cell-to-cell heterogeneity. It is now possible to measure this heterogeneity with high throughput single cell gene expression assays (single cell qPCR and RNA-seq). These experimental approaches generate gene expression distributions which can be used to estimate the kinetic parameters of gene expression bursting, namely the rate that genes turn on, the rate that genes turn off, and the rate of transcription. We construct a complete pipeline for the analysis of single cell qPCR data that uses the mathematics behind bursty expression to develop more accurate and robust algorithms for analyzing the origin of heterogeneity in experimental samples, specifically an algorithm for clustering cells by their bursting behavior (Simulated An

SUBMITTER: Ezer D 

PROVIDER: S-EPMC4995004 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature