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Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq

RNA-binding proteins (RBPs) and noncoding RNAs orchestrate post-transcriptional processes through the recognition of specific sites on targeted transcripts. Thus, understanding the connection between binding to specific sites and active regulation of the whole transcript is essential. Many immunopre...

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Autores principales: Nicholson, Cindo O., Friedersdorf, Matthew, Keene, Jack D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159647/
https://www.ncbi.nlm.nih.gov/pubmed/27742911
http://dx.doi.org/10.1261/rna.058115.116
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author Nicholson, Cindo O.
Friedersdorf, Matthew
Keene, Jack D.
author_facet Nicholson, Cindo O.
Friedersdorf, Matthew
Keene, Jack D.
author_sort Nicholson, Cindo O.
collection PubMed
description RNA-binding proteins (RBPs) and noncoding RNAs orchestrate post-transcriptional processes through the recognition of specific sites on targeted transcripts. Thus, understanding the connection between binding to specific sites and active regulation of the whole transcript is essential. Many immunoprecipitation techniques have been developed that identify either whole transcripts or binding sites of RBPs on each transcript using cell lysates. However, none of these methods simultaneously measures the strength of each binding site and quantifies binding to whole transcripts. In this study, we compare current procedures and present digestion optimized (DO)-RIP-seq, a simple method that locates and quantifies RBP binding sites using a continuous metric. We have used the RBP HuR/ELAVL1 to demonstrate that DO-RIP-seq can quantify HuR binding sites with high coverage across the entire human transcriptome, thereby generating metrics of relative RNA binding strength. We demonstrate that this quantitative enrichment of binding sites is proportional to the relative in vitro binding strength for these sites. In addition, we used DO-RIP-seq to quantify and compare HuR's binding to whole transcripts, thus allowing for seamless integration of binding site data with whole-transcript measurements. Finally, we demonstrate that DO-RIP-seq is useful for identifying functional mRNA target sets and binding sites where combinatorial interactions between HuR and AGO-microRNAs regulate the fate of the transcripts. Our data indicate that DO-RIP-seq will be useful for quantifying RBP binding events that regulate dynamic biological processes.
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spelling pubmed-51596472018-01-01 Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq Nicholson, Cindo O. Friedersdorf, Matthew Keene, Jack D. RNA Article RNA-binding proteins (RBPs) and noncoding RNAs orchestrate post-transcriptional processes through the recognition of specific sites on targeted transcripts. Thus, understanding the connection between binding to specific sites and active regulation of the whole transcript is essential. Many immunoprecipitation techniques have been developed that identify either whole transcripts or binding sites of RBPs on each transcript using cell lysates. However, none of these methods simultaneously measures the strength of each binding site and quantifies binding to whole transcripts. In this study, we compare current procedures and present digestion optimized (DO)-RIP-seq, a simple method that locates and quantifies RBP binding sites using a continuous metric. We have used the RBP HuR/ELAVL1 to demonstrate that DO-RIP-seq can quantify HuR binding sites with high coverage across the entire human transcriptome, thereby generating metrics of relative RNA binding strength. We demonstrate that this quantitative enrichment of binding sites is proportional to the relative in vitro binding strength for these sites. In addition, we used DO-RIP-seq to quantify and compare HuR's binding to whole transcripts, thus allowing for seamless integration of binding site data with whole-transcript measurements. Finally, we demonstrate that DO-RIP-seq is useful for identifying functional mRNA target sets and binding sites where combinatorial interactions between HuR and AGO-microRNAs regulate the fate of the transcripts. Our data indicate that DO-RIP-seq will be useful for quantifying RBP binding events that regulate dynamic biological processes. Cold Spring Harbor Laboratory Press 2017-01 /pmc/articles/PMC5159647/ /pubmed/27742911 http://dx.doi.org/10.1261/rna.058115.116 Text en © 2016 Nicholson et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by the RNA Society for the first 12 months after the full-issue publication date (see http://rnajournal.cshlp.org/site/misc/terms.xhtml). After 12 months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Article
Nicholson, Cindo O.
Friedersdorf, Matthew
Keene, Jack D.
Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq
title Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq
title_full Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq
title_fullStr Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq
title_full_unstemmed Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq
title_short Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq
title_sort quantifying rna binding sites transcriptome-wide using do-rip-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159647/
https://www.ncbi.nlm.nih.gov/pubmed/27742911
http://dx.doi.org/10.1261/rna.058115.116
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