TY - JOUR
T1 - Deciphering the “m6A Code” via Antibody-Independent Quantitative Profiling
AU - Garcia-Campos, Miguel Angel
AU - Edelheit, Sarit
AU - Toth, Ursula
AU - Safra, Modi
AU - Shachar, Ran
AU - Viukov, Sergey
AU - Winkler, Roni
AU - Nir, Ronit
AU - Lasman, Lior
AU - Brandis, Alexander
AU - Hanna, Jacob H.
AU - Rossmanith, Walter
AU - Schwartz, Schraga
N1 - Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/7/25
Y1 - 2019/7/25
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85069626359&partnerID=8YFLogxK
U2 - 10.1016/j.cell.2019.06.013
DO - 10.1016/j.cell.2019.06.013
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C2 - 31257032
AN - SCOPUS:85069626359
SN - 0092-8674
VL - 178
SP - 731-747.e16
JO - Cell
JF - Cell
IS - 3
ER -