4.7 Article

Limits in the detection of m6A changes using MeRIP/m6A-seq

Journal

SCIENTIFIC REPORTS
Volume 10, Issue 1, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-020-63355-3

Keywords

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Funding

  1. Starr Cancer Consortium [I9-A9-071]
  2. Bert L and N. Kuggie Vallee Foundation
  3. WorldQuant Foundation
  4. Pershing Square Sohn Cancer Research Alliance
  5. NASA [NNX14AH50G]
  6. National Institutes of Health [R01AI125416, R21AI129851, R01MH117406]
  7. Leukemia and Lymphoma Society (LLS) [LLS 9238-16, LLS-MCL-982]
  8. Burroughs Wellcome Fund
  9. Natural Sciences and Engineering Research Council of Canada
  10. American Heart Association [17PRE33670017]

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Many cellular mRNAs contain the modified base m(6)A, and recent studies have suggested that various stimuli can lead to changes in m(6)A. The most common method to map m(6)A and to predict changes in m(6)A between conditions is methylated RNA immunoprecipitation sequencing (MeRIP-seq), through which methylated regions are detected as peaks in transcript coverage from immunoprecipitated RNA relative to input RNA. Here, we generated replicate controls and reanalyzed published MeRIP-seq data to estimate reproducibility across experiments. We found that m(6)A peak overlap in mRNAs varies from similar to 30 to 60% between studies, even in the same cell type. We then assessed statistical methods to detect changes in m(6)A peaks as distinct from changes in gene expression. However, from these published data sets, we detected few changes under most conditions and were unable to detect consistent changes across studies of similar stimuli. Overall, our work identifies limits to MeRIP-seq reproducibility in the detection both of peaks and of peak changes and proposes improved approaches for analysis of peak changes.

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