Unknown

Dataset Information

Gene function revealed at the moment of sitochastic gene silencing.


ABSTRACT: Gene expression is a dynamic and stochastic process characterized by transcriptional bursting followed by periods of silence. Single-cell RNA sequencing (scRNA-seq) is a powerful tool to measure transcriptional bursting and silencing at the individual cell level. In this study, we introduce the single-cell Stochastic Gene Silencing (scSGS) method, which leverages the natural variability in single-cell gene expression to decipher gene function. For a target gene g under investigation, scSGS classifies cells into transcriptionally active (g + ) and silenced (g-) samples. It then compares these cell samples to identify differentially expressed genes, referred to as SGS-responsive genes, which are used to infer the function of the target gene g. Analysis of real data demonstrates that scSGS ca

SUBMITTER: Gupta S 

PROVIDER: S-EPMC11743767 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature