Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 62,933 bioRxiv papers from 279,142 authors.

Modeling allele-specific gene expression by single-cell RNA sequencing

By Yuchao Jiang, Nancy R Zhang, Mingyao Li

Posted 17 Feb 2017
bioRxiv DOI: 10.1101/109629 (published DOI: 10.1186/s13059-017-1200-8)

Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing (scRNA-seq) allows the comparison of expression distribution between the two alleles of a diploid organism and thus the characterization of allele-specific bursting. 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, globally, cis control in gene expression overwhelmingly manifests as differences in burst frequency.

Download data

  • Downloaded 1,089 times
  • Download rankings, all-time:
    • Site-wide: 6,196 out of 62,933
    • In genomics: 1,029 out of 4,316
  • Year to date:
    • Site-wide: 38,155 out of 62,933
  • Since beginning of last month:
    • Site-wide: 45,695 out of 62,933

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News