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Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline
Methylation at the N(6) position of adenosine (m(6)A) is one of the most abundant RNA modifications found in eukaryotes; however, accurate detection of specific m(6)A nucleotides within transcripts has been historically challenging due to m(6)A and unmodified adenosine having virtually indistinguish...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962486/ https://www.ncbi.nlm.nih.gov/pubmed/33376190 http://dx.doi.org/10.1261/rna.078543.120 |
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author | Roberts, Justin T. Porman, Allison M. Johnson, Aaron M. |
author_facet | Roberts, Justin T. Porman, Allison M. Johnson, Aaron M. |
author_sort | Roberts, Justin T. |
collection | PubMed |
description | Methylation at the N(6) position of adenosine (m(6)A) is one of the most abundant RNA modifications found in eukaryotes; however, accurate detection of specific m(6)A nucleotides within transcripts has been historically challenging due to m(6)A and unmodified adenosine having virtually indistinguishable chemical properties. While previous strategies such as methyl-RNA immunoprecipitation and sequencing (MeRIP-seq) have relied on m(6)A-specific antibodies to isolate RNA fragments containing the modification, these methods do not allow for precise identification of individual m(6)A 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-m(6)A 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 m(6)A residues with reliable confidence metrics. Based on enhanced CLIP (eCLIP), our m(6)A-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 m(6)A sites at true single-nucleotide resolution. As the effort to accurately identify m(6)As in an efficient and straightforward way intensifies, this method is a valuable tool for investigators interested in unraveling the m(6)A epitranscriptome. |
format | Online Article Text |
id | pubmed-7962486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79624862021-04-01 Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline Roberts, Justin T. Porman, Allison M. Johnson, Aaron M. RNA Method Methylation at the N(6) position of adenosine (m(6)A) is one of the most abundant RNA modifications found in eukaryotes; however, accurate detection of specific m(6)A nucleotides within transcripts has been historically challenging due to m(6)A and unmodified adenosine having virtually indistinguishable chemical properties. While previous strategies such as methyl-RNA immunoprecipitation and sequencing (MeRIP-seq) have relied on m(6)A-specific antibodies to isolate RNA fragments containing the modification, these methods do not allow for precise identification of individual m(6)A 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-m(6)A 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 m(6)A residues with reliable confidence metrics. Based on enhanced CLIP (eCLIP), our m(6)A-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 m(6)A sites at true single-nucleotide resolution. As the effort to accurately identify m(6)As in an efficient and straightforward way intensifies, this method is a valuable tool for investigators interested in unraveling the m(6)A epitranscriptome. Cold Spring Harbor Laboratory Press 2021-04 /pmc/articles/PMC7962486/ /pubmed/33376190 http://dx.doi.org/10.1261/rna.078543.120 Text en © 2021 Roberts et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by-nc/4.0/ 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/. |
spellingShingle | Method Roberts, Justin T. Porman, Allison M. Johnson, Aaron M. Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline |
title | Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline |
title_full | Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline |
title_fullStr | Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline |
title_full_unstemmed | Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline |
title_short | Identification of m(6)A residues at single-nucleotide resolution using eCLIP and an accessible custom analysis pipeline |
title_sort | identification of m(6)a residues at single-nucleotide resolution using eclip and an accessible custom analysis pipeline |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962486/ https://www.ncbi.nlm.nih.gov/pubmed/33376190 http://dx.doi.org/10.1261/rna.078543.120 |
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