Nature Communications (Jun 2021)

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

  • Mathys Grapotte,
  • Manu Saraswat,
  • Chloé Bessière,
  • Christophe Menichelli,
  • Jordan A. Ramilowski,
  • Jessica Severin,
  • Yoshihide Hayashizaki,
  • Masayoshi Itoh,
  • Michihira Tagami,
  • Mitsuyoshi Murata,
  • Miki Kojima-Ishiyama,
  • Shohei Noma,
  • Shuhei Noguchi,
  • Takeya Kasukawa,
  • Akira Hasegawa,
  • Harukazu Suzuki,
  • Hiromi Nishiyori-Sueki,
  • Martin C. Frith,
  • FANTOM consortium,
  • Clément Chatelain,
  • Piero Carninci,
  • Michiel J. L. de Hoon,
  • Wyeth W. Wasserman,
  • Laurent Bréhélin,
  • Charles-Henri Lecellier

DOI
https://doi.org/10.1038/s41467-021-23143-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 18

Abstract

Read online

Mammalian genomes are scattered with repetitive sequences, but their biology remains largely elusive. Here, the authors show that transcription can initiate from short tandem repetitive sequences, and that genetic variants linked to human diseases are preferentially found at repeats with high transcription initiation level.