Nature Communications (Jul 2016)

RNA editing generates cellular subsets with diverse sequence within populations

  • Dewi Harjanto,
  • Theodore Papamarkou,
  • Chris J. Oates,
  • Violeta Rayon-Estrada,
  • F. Nina Papavasiliou,
  • Anastasia Papavasiliou

DOI
https://doi.org/10.1038/ncomms12145
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 14

Abstract

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RNA editing rate detected from bulk RNA-seq data can vary widely. Here, by constructing a hierarchical Bayesian model, the authors report substantial variance in editing signatures detected by RNA-seq data from both single cells and a cognate bulk sample.