Identification of m6A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline

  1. Aaron M. Johnson1,2,3
  1. 1Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado 80045, USA
  2. 2Molecular Biology Graduate Program, University of Colorado-Denver Anschutz Medical Campus, Aurora, Colorado 80045, USA
  3. 3RNA Biosciences Initiative, University of Colorado School of Medicine, Aurora, Colorado 80045, USA
  1. Corresponding author: Aaron.m.johnson{at}CUAnschutz.edu

Abstract

Methylation at the N6 position of adenosine (m6A) is one of the most abundant RNA modifications found in eukaryotes; however, accurate detection of specific m6A nucleotides within transcripts has been historically challenging due to m6A and unmodified adenosine having virtually indistinguishable chemical properties. While previous strategies such as methyl-RNA immunoprecipitation and sequencing (MeRIP-seq) have relied on m6A-specific antibodies to isolate RNA fragments containing the modification, these methods do not allow for precise identification of individual m6A residues. More recently, modified cross-linking and immunoprecipitation (CLIP)-based approaches that rely on inducing specific mutations during reverse transcription via UV cross-linking of the anti-m6A antibody to methylated RNA have been used to overcome this limitation. However, the most utilized version of this approach, miCLIP, can be technically challenging to use for achieving high-complexity libraries. Here we present an improved methodology that yields high library complexity and allows for the straightforward identification of individual m6A residues with reliable confidence metrics. Based on enhanced CLIP (eCLIP), our m6A-eCLIP (meCLIP) approach couples the improvements of eCLIP with the inclusion of an input sample and an easy-to-use computational pipeline to allow for precise calling of m6A sites at true single-nucleotide resolution. As the effort to accurately identify m6As in an efficient and straightforward way intensifies, this method is a valuable tool for investigators interested in unraveling the m6A epitranscriptome.

Keywords

Footnotes

  • Received December 4, 2020.
  • Accepted December 18, 2020.

This article, published in RNA, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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