SCALE: modeling allele-specific gene expression by single-cell RNA sequencing

Genome Biol. 2017 Apr 26;18(1):74. doi: 10.1186/s13059-017-1200-8.

Abstract

Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing allows the comparison of expression distribution between the two alleles of a diploid organism and the characterization of allele-specific bursting. Here, we propose SCALE to analyze genome-wide allele-specific bursting, with adjustment of technical variability. SCALE detects genes exhibiting allelic differences in bursting parameters and genes whose alleles burst non-independently. We apply SCALE to mouse blastocyst and human fibroblast cells and find that cis control in gene expression overwhelmingly manifests as differences in burst frequency.

Keywords: Allele-specific expression; Expression stochasticity; Single-cell RNA sequencing; Technical variability; Transcriptional bursting; cis and trans transcriptional control.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Alleles
  • Animals
  • Blastocyst / cytology
  • Cells, Cultured
  • Diploidy
  • Fibroblasts / cytology
  • Gene Expression Profiling / methods*
  • Humans
  • Mice
  • Models, Genetic
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / methods*