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easyCLIP analysis of RNA-protein interactions incorporating absolute quantification
Quantitative criteria to identify proteins as RNA-binding proteins (RBPs) are presently lacking, as are criteria to define RBP target RNAs. Here, we develop an ultraviolet (UV) cross-linking immunoprecipitation (CLIP)-sequencing method, easyCLIP. easyCLIP provides absolute cross-link rates, as well...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946914/ https://www.ncbi.nlm.nih.gov/pubmed/33692367 http://dx.doi.org/10.1038/s41467-021-21623-4 |
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author | Porter, Douglas F. Miao, Weili Yang, Xue Goda, Grant A. Ji, Andrew L. Donohue, Laura K. H. Aleman, Maria M. Dominguez, Daniel Khavari, Paul A. |
author_facet | Porter, Douglas F. Miao, Weili Yang, Xue Goda, Grant A. Ji, Andrew L. Donohue, Laura K. H. Aleman, Maria M. Dominguez, Daniel Khavari, Paul A. |
author_sort | Porter, Douglas F. |
collection | PubMed |
description | Quantitative criteria to identify proteins as RNA-binding proteins (RBPs) are presently lacking, as are criteria to define RBP target RNAs. Here, we develop an ultraviolet (UV) cross-linking immunoprecipitation (CLIP)-sequencing method, easyCLIP. easyCLIP provides absolute cross-link rates, as well as increased simplicity, efficiency, and capacity to visualize RNA libraries during sequencing library preparation. Measurement of >200 independent cross-link experiments across >35 proteins identifies an RNA cross-link rate threshold that distinguishes RBPs from non-RBPs and defines target RNAs as those with a complex frequency unlikely for a random protein. We apply easyCLIP to the 33 most recurrent cancer mutations across 28 RBPs, finding increased RNA binding per RBP molecule for KHDRBS2 R168C, A1CF E34K and PCBP1 L100P/Q cancer mutations. Quantitating RBP-RNA interactions can thus nominate proteins as RBPs and define the impact of specific disease-associated RBP mutations on RNA association. |
format | Online Article Text |
id | pubmed-7946914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79469142021-03-28 easyCLIP analysis of RNA-protein interactions incorporating absolute quantification Porter, Douglas F. Miao, Weili Yang, Xue Goda, Grant A. Ji, Andrew L. Donohue, Laura K. H. Aleman, Maria M. Dominguez, Daniel Khavari, Paul A. Nat Commun Article Quantitative criteria to identify proteins as RNA-binding proteins (RBPs) are presently lacking, as are criteria to define RBP target RNAs. Here, we develop an ultraviolet (UV) cross-linking immunoprecipitation (CLIP)-sequencing method, easyCLIP. easyCLIP provides absolute cross-link rates, as well as increased simplicity, efficiency, and capacity to visualize RNA libraries during sequencing library preparation. Measurement of >200 independent cross-link experiments across >35 proteins identifies an RNA cross-link rate threshold that distinguishes RBPs from non-RBPs and defines target RNAs as those with a complex frequency unlikely for a random protein. We apply easyCLIP to the 33 most recurrent cancer mutations across 28 RBPs, finding increased RNA binding per RBP molecule for KHDRBS2 R168C, A1CF E34K and PCBP1 L100P/Q cancer mutations. Quantitating RBP-RNA interactions can thus nominate proteins as RBPs and define the impact of specific disease-associated RBP mutations on RNA association. Nature Publishing Group UK 2021-03-10 /pmc/articles/PMC7946914/ /pubmed/33692367 http://dx.doi.org/10.1038/s41467-021-21623-4 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 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 Porter, Douglas F. Miao, Weili Yang, Xue Goda, Grant A. Ji, Andrew L. Donohue, Laura K. H. Aleman, Maria M. Dominguez, Daniel Khavari, Paul A. easyCLIP analysis of RNA-protein interactions incorporating absolute quantification |
title | easyCLIP analysis of RNA-protein interactions incorporating absolute quantification |
title_full | easyCLIP analysis of RNA-protein interactions incorporating absolute quantification |
title_fullStr | easyCLIP analysis of RNA-protein interactions incorporating absolute quantification |
title_full_unstemmed | easyCLIP analysis of RNA-protein interactions incorporating absolute quantification |
title_short | easyCLIP analysis of RNA-protein interactions incorporating absolute quantification |
title_sort | easyclip analysis of rna-protein interactions incorporating absolute quantification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946914/ https://www.ncbi.nlm.nih.gov/pubmed/33692367 http://dx.doi.org/10.1038/s41467-021-21623-4 |
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