Deciphering the “m6A Code” via Antibody-Independent Quantitative Profiling

  • Miguel Angel Garcia-Campos
  • , Sarit Edelheit
  • , Ursula Toth
  • , Modi Safra
  • , Ran Shachar
  • , Sergey Viukov
  • , Roni Winkler
  • , Ronit Nir
  • , Lior Lasman
  • , Alexander Brandis
  • , Jacob H. Hanna
  • , Walter Rossmanith
  • , Schraga Schwartz

Research output: Contribution to journalArticlepeer-review

388 Scopus citations

Abstract

N6-methyladenosine (m6A) is the most abundant modification on mRNA and is implicated in critical roles in development, physiology, and disease. A major limitation has been the inability to quantify m6A stoichiometry and the lack of antibody-independent methodologies for interrogating m6A. Here, we develop MAZTER-seq for systematic quantitative profiling of m6A at single-nucleotide resolution at 16%–25% of expressed sites, building on differential cleavage by an RNase. MAZTER-seq permits validation and de novo discovery of m6A sites, calibration of the performance of antibody-based approaches, and quantitative tracking of m6A dynamics in yeast gametogenesis and mammalian differentiation. We discover that m6A stoichiometry is “hard coded” in cis via a simple and predictable code, accounting for 33%–46% of the variability in methylation levels and allowing accurate prediction of m6A loss and acquisition events across evolution. MAZTER-seq allows quantitative investigation of m6A regulation in subcellular fractions, diverse cell types, and disease states.

Original languageEnglish
Pages (from-to)731-747.e16
JournalCell
Volume178
Issue number3
DOIs
StatePublished - 25 Jul 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc.

Fingerprint

Dive into the research topics of 'Deciphering the “m6A Code” via Antibody-Independent Quantitative Profiling'. Together they form a unique fingerprint.

Cite this