Single-cell allele-specific expression analysis reveals dynamic and cell-type-specific regulatory effects.

ABSTRACT: Differential allele-specific expression (ASE) is a powerful tool to study context-specific cis-regulation of gene expression. Such effects can reflect the interaction between genetic or epigenetic factors and a measured context or condition. Single-cell RNA sequencing (scRNA-seq) allows the measurement of ASE at individual-cell resolution, but there is a lack of statistical methods to analyze such data. We present Differential Allelic Expression using Single-Cell data (DAESC), a powerful method for differential ASE analysis using scRNA-seq from multiple individuals, with statistical behavior confirmed through simulation. DAESC accounts for non-independence between cells from the same individual and incorporates implicit haplotype phasing. Application to data from 105 induced pluripotent st

SUBMITTER: Qi G 

PROVIDER: S-EPMC10562474 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature