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Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq

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...

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Detalles Bibliográficos
Autores principales: McIntyre, Alexa B. R., Gokhale, Nandan S., Cerchietti, Leandro, Jaffrey, Samie R., Horner, Stacy M., Mason, Christopher E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170965/
https://www.ncbi.nlm.nih.gov/pubmed/32313079
http://dx.doi.org/10.1038/s41598-020-63355-3
Descripción
Sumario: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 ~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.