Cargando…

RBP-Maps enables robust generation of splicing regulatory maps

Alternative splicing of pre-messenger RNA transcripts enables the generation of multiple protein isoforms from the same gene locus, providing a major source of protein diversity in mammalian genomes. RNA binding proteins (RBPs) bind to RNA to control splice site choice and define which exons are inc...

Descripción completa

Detalles Bibliográficos
Autores principales: Yee, Brian A., Pratt, Gabriel A., Graveley, Brenton R., Van Nostrand, Eric L., Yeo, Gene W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348990/
https://www.ncbi.nlm.nih.gov/pubmed/30413564
http://dx.doi.org/10.1261/rna.069237.118
_version_ 1783390207613075456
author Yee, Brian A.
Pratt, Gabriel A.
Graveley, Brenton R.
Van Nostrand, Eric L.
Yeo, Gene W.
author_facet Yee, Brian A.
Pratt, Gabriel A.
Graveley, Brenton R.
Van Nostrand, Eric L.
Yeo, Gene W.
author_sort Yee, Brian A.
collection PubMed
description Alternative splicing of pre-messenger RNA transcripts enables the generation of multiple protein isoforms from the same gene locus, providing a major source of protein diversity in mammalian genomes. RNA binding proteins (RBPs) bind to RNA to control splice site choice and define which exons are included in the resulting mature RNA transcript. However, depending on where the RBPs bind relative to splice sites, they can activate or repress splice site usage. To explore this position-specific regulation, in vivo binding sites identified by methods such as cross-linking and immunoprecipitation (CLIP) are integrated with alternative splicing events identified by RNA-seq or microarray. Merging these data sets enables the generation of a “splicing map,” where CLIP signal relative to a merged meta-exon provides a simple summary of the position-specific effect of binding on splicing regulation. Here, we provide RBP-Maps, a software tool to simplify generation of these maps and enable researchers to rapidly query regulatory patterns of an RBP of interest. Further, we discuss various alternative approaches to generate such splicing maps, focusing on how decisions in construction (such as the use of peak versus read density, or whole-reads versus only single-nucleotide candidate crosslink positions) can affect the interpretation of these maps using example eCLIP data from the 150 RBPs profiled by the ENCODE consortium.
format Online
Article
Text
id pubmed-6348990
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Cold Spring Harbor Laboratory Press
record_format MEDLINE/PubMed
spelling pubmed-63489902019-02-14 RBP-Maps enables robust generation of splicing regulatory maps Yee, Brian A. Pratt, Gabriel A. Graveley, Brenton R. Van Nostrand, Eric L. Yeo, Gene W. RNA Bioinformatics Alternative splicing of pre-messenger RNA transcripts enables the generation of multiple protein isoforms from the same gene locus, providing a major source of protein diversity in mammalian genomes. RNA binding proteins (RBPs) bind to RNA to control splice site choice and define which exons are included in the resulting mature RNA transcript. However, depending on where the RBPs bind relative to splice sites, they can activate or repress splice site usage. To explore this position-specific regulation, in vivo binding sites identified by methods such as cross-linking and immunoprecipitation (CLIP) are integrated with alternative splicing events identified by RNA-seq or microarray. Merging these data sets enables the generation of a “splicing map,” where CLIP signal relative to a merged meta-exon provides a simple summary of the position-specific effect of binding on splicing regulation. Here, we provide RBP-Maps, a software tool to simplify generation of these maps and enable researchers to rapidly query regulatory patterns of an RBP of interest. Further, we discuss various alternative approaches to generate such splicing maps, focusing on how decisions in construction (such as the use of peak versus read density, or whole-reads versus only single-nucleotide candidate crosslink positions) can affect the interpretation of these maps using example eCLIP data from the 150 RBPs profiled by the ENCODE consortium. Cold Spring Harbor Laboratory Press 2019-02 /pmc/articles/PMC6348990/ /pubmed/30413564 http://dx.doi.org/10.1261/rna.069237.118 Text en © 2019 Yee et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by/4.0/ This article, published in RNA, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.
spellingShingle Bioinformatics
Yee, Brian A.
Pratt, Gabriel A.
Graveley, Brenton R.
Van Nostrand, Eric L.
Yeo, Gene W.
RBP-Maps enables robust generation of splicing regulatory maps
title RBP-Maps enables robust generation of splicing regulatory maps
title_full RBP-Maps enables robust generation of splicing regulatory maps
title_fullStr RBP-Maps enables robust generation of splicing regulatory maps
title_full_unstemmed RBP-Maps enables robust generation of splicing regulatory maps
title_short RBP-Maps enables robust generation of splicing regulatory maps
title_sort rbp-maps enables robust generation of splicing regulatory maps
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348990/
https://www.ncbi.nlm.nih.gov/pubmed/30413564
http://dx.doi.org/10.1261/rna.069237.118
work_keys_str_mv AT yeebriana rbpmapsenablesrobustgenerationofsplicingregulatorymaps
AT prattgabriela rbpmapsenablesrobustgenerationofsplicingregulatorymaps
AT graveleybrentonr rbpmapsenablesrobustgenerationofsplicingregulatorymaps
AT vannostrandericl rbpmapsenablesrobustgenerationofsplicingregulatorymaps
AT yeogenew rbpmapsenablesrobustgenerationofsplicingregulatorymaps