Nature Communications (Mar 2023)

Autocatalytic base editing for RNA-responsive translational control

  • Raphaël V. Gayet,
  • Katherine Ilia,
  • Shiva Razavi,
  • Nathaniel D. Tippens,
  • Makoto A. Lalwani,
  • Kehan Zhang,
  • Jack X. Chen,
  • Jonathan C. Chen,
  • Jose Vargas-Asencio,
  • James J. Collins

DOI
https://doi.org/10.1038/s41467-023-36851-z
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 10

Abstract

Read online

Genetic circuits that control transgene expression in response to pre-defined transcriptional cues would enable the development of smart therapeutics. Here the authors engineer programmable RNA sensors, DART VADARs, in which ADARs autocatalytically convert target hybridization into a translational output, thus amplifying editing by endogenous ADAR via positive feedback and conferring high dynamic range and a small genetic footprint.