Accurate detection of m6A RNA modifications in native RNA sequences. Academic Article uri icon

Overview

abstract

  • The epitranscriptomics field has undergone an enormous expansion in the last few years; however, a major limitation is the lack of generic methods to map RNA modifications transcriptome-wide. Here, we show that using direct RNA sequencing, N6-methyladenosine (m6A) RNA modifications can be detected with high accuracy, in the form of systematic errors and decreased base-calling qualities. Specifically, we find that our algorithm, trained with m6A-modified and unmodified synthetic sequences, can predict m6A RNA modifications with ~90% accuracy. We then extend our findings to yeast data sets, finding that our method can identify m6A RNA modifications in vivo with an accuracy of 87%. Moreover, we further validate our method by showing that these 'errors' are typically not observed in yeast ime4-knockout strains, which lack m6A modifications. Our results open avenues to investigate the biological roles of RNA modifications in their native RNA context.

publication date

  • September 9, 2019

Research

keywords

  • Adenosine
  • RNA

Identity

PubMed Central ID

  • PMC6734003

Scopus Document Identifier

  • 85071982096

Digital Object Identifier (DOI)

  • 10.1016/j.celrep.2014.05.048

PubMed ID

  • 31501426

Additional Document Info

volume

  • 10

issue

  • 1