Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783523984290086912 |
---|---|
author | McIntyre, Alexa B. R. Gokhale, Nandan S. Cerchietti, Leandro Jaffrey, Samie R. Horner, Stacy M. Mason, Christopher E. |
author_facet | McIntyre, Alexa B. R. Gokhale, Nandan S. Cerchietti, Leandro Jaffrey, Samie R. Horner, Stacy M. Mason, Christopher E. |
author_sort | McIntyre, Alexa B. R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7170965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71709652020-04-23 Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq McIntyre, Alexa B. R. Gokhale, Nandan S. Cerchietti, Leandro Jaffrey, Samie R. Horner, Stacy M. Mason, Christopher E. Sci Rep Article 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. Nature Publishing Group UK 2020-04-20 /pmc/articles/PMC7170965/ /pubmed/32313079 http://dx.doi.org/10.1038/s41598-020-63355-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article McIntyre, Alexa B. R. Gokhale, Nandan S. Cerchietti, Leandro Jaffrey, Samie R. Horner, Stacy M. Mason, Christopher E. Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq |
title | Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq |
title_full | Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq |
title_fullStr | Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq |
title_full_unstemmed | Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq |
title_short | Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq |
title_sort | limits in the detection of m(6)a changes using merip/m(6)a-seq |
topic | Article |
url | 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 |
work_keys_str_mv | AT mcintyrealexabr limitsinthedetectionofm6achangesusingmeripm6aseq AT gokhalenandans limitsinthedetectionofm6achangesusingmeripm6aseq AT cerchiettileandro limitsinthedetectionofm6achangesusingmeripm6aseq AT jaffreysamier limitsinthedetectionofm6achangesusingmeripm6aseq AT hornerstacym limitsinthedetectionofm6achangesusingmeripm6aseq AT masonchristophere limitsinthedetectionofm6achangesusingmeripm6aseq |