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RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing

RNA-binding proteins (RBPs) regulate splicing according to position-dependent principles, which can be exploited for analysis of regulatory motifs. Here we present RNAmotifs, a method that evaluates the sequence around differentially regulated alternative exons to identify clusters of short and dege...

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Detalles Bibliográficos
Autores principales: Cereda, Matteo, Pozzoli, Uberto, Rot, Gregor, Juvan, Peter, Schweitzer, Anthony, Clark, Tyson, Ule, Jernej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054596/
https://www.ncbi.nlm.nih.gov/pubmed/24485098
http://dx.doi.org/10.1186/gb-2014-15-1-r20
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author Cereda, Matteo
Pozzoli, Uberto
Rot, Gregor
Juvan, Peter
Schweitzer, Anthony
Clark, Tyson
Ule, Jernej
author_facet Cereda, Matteo
Pozzoli, Uberto
Rot, Gregor
Juvan, Peter
Schweitzer, Anthony
Clark, Tyson
Ule, Jernej
author_sort Cereda, Matteo
collection PubMed
description RNA-binding proteins (RBPs) regulate splicing according to position-dependent principles, which can be exploited for analysis of regulatory motifs. Here we present RNAmotifs, a method that evaluates the sequence around differentially regulated alternative exons to identify clusters of short and degenerate sequences, referred to as multivalent RNA motifs. We show that diverse RBPs share basic positional principles, but differ in their propensity to enhance or repress exon inclusion. We assess exons differentially spliced between brain and heart, identifying known and new regulatory motifs, and predict the expression pattern of RBPs that bind these motifs. RNAmotifs is available at https://bitbucket.org/rogrro/rna_motifs.
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spelling pubmed-40545962014-06-12 RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing Cereda, Matteo Pozzoli, Uberto Rot, Gregor Juvan, Peter Schweitzer, Anthony Clark, Tyson Ule, Jernej Genome Biol Method RNA-binding proteins (RBPs) regulate splicing according to position-dependent principles, which can be exploited for analysis of regulatory motifs. Here we present RNAmotifs, a method that evaluates the sequence around differentially regulated alternative exons to identify clusters of short and degenerate sequences, referred to as multivalent RNA motifs. We show that diverse RBPs share basic positional principles, but differ in their propensity to enhance or repress exon inclusion. We assess exons differentially spliced between brain and heart, identifying known and new regulatory motifs, and predict the expression pattern of RBPs that bind these motifs. RNAmotifs is available at https://bitbucket.org/rogrro/rna_motifs. BioMed Central 2014 2014-01-31 /pmc/articles/PMC4054596/ /pubmed/24485098 http://dx.doi.org/10.1186/gb-2014-15-1-r20 Text en Copyright © 2014 Cereda et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Cereda, Matteo
Pozzoli, Uberto
Rot, Gregor
Juvan, Peter
Schweitzer, Anthony
Clark, Tyson
Ule, Jernej
RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing
title RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing
title_full RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing
title_fullStr RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing
title_full_unstemmed RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing
title_short RNAmotifs: prediction of multivalent RNA motifs that control alternative splicing
title_sort rnamotifs: prediction of multivalent rna motifs that control alternative splicing
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054596/
https://www.ncbi.nlm.nih.gov/pubmed/24485098
http://dx.doi.org/10.1186/gb-2014-15-1-r20
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