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Characterizing the interplay between gene nucleotide composition bias and splicing

BACKGROUND: Nucleotide composition bias plays an important role in the 1D and 3D organization of the human genome. Here, we investigate the potential interplay between nucleotide composition bias and the regulation of exon recognition during splicing. RESULTS: By analyzing dozens of RNA-seq datasets...

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Autores principales: Lemaire, Sébastien, Fontrodona, Nicolas, Aubé, Fabien, Claude, Jean-Baptiste, Polvèche, Hélène, Modolo, Laurent, Bourgeois, Cyril F., Mortreux, Franck, Auboeuf, Didier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883713/
https://www.ncbi.nlm.nih.gov/pubmed/31783898
http://dx.doi.org/10.1186/s13059-019-1869-y
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author Lemaire, Sébastien
Fontrodona, Nicolas
Aubé, Fabien
Claude, Jean-Baptiste
Polvèche, Hélène
Modolo, Laurent
Bourgeois, Cyril F.
Mortreux, Franck
Auboeuf, Didier
author_facet Lemaire, Sébastien
Fontrodona, Nicolas
Aubé, Fabien
Claude, Jean-Baptiste
Polvèche, Hélène
Modolo, Laurent
Bourgeois, Cyril F.
Mortreux, Franck
Auboeuf, Didier
author_sort Lemaire, Sébastien
collection PubMed
description BACKGROUND: Nucleotide composition bias plays an important role in the 1D and 3D organization of the human genome. Here, we investigate the potential interplay between nucleotide composition bias and the regulation of exon recognition during splicing. RESULTS: By analyzing dozens of RNA-seq datasets, we identify two groups of splicing factors that activate either about 3200 GC-rich exons or about 4000 AT-rich exons. We show that splicing factor–dependent GC-rich exons have predicted RNA secondary structures at 5′ ss and are dependent on U1 snRNP–associated proteins. In contrast, splicing factor–dependent AT-rich exons have a large number of decoy branch points, SF1- or U2AF2-binding sites and are dependent on U2 snRNP–associated proteins. Nucleotide composition bias also influences local chromatin organization, with consequences for exon recognition during splicing. Interestingly, the GC content of exons correlates with that of their hosting genes, isochores, and topologically associated domains. CONCLUSIONS: We propose that regional nucleotide composition bias over several dozens of kilobase pairs leaves a local footprint at the exon level and induces constraints during splicing that can be alleviated by local chromatin organization at the DNA level and recruitment of specific splicing factors at the RNA level. Therefore, nucleotide composition bias establishes a direct link between genome organization and local regulatory processes, like alternative splicing.
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spelling pubmed-68837132019-12-03 Characterizing the interplay between gene nucleotide composition bias and splicing Lemaire, Sébastien Fontrodona, Nicolas Aubé, Fabien Claude, Jean-Baptiste Polvèche, Hélène Modolo, Laurent Bourgeois, Cyril F. Mortreux, Franck Auboeuf, Didier Genome Biol Research BACKGROUND: Nucleotide composition bias plays an important role in the 1D and 3D organization of the human genome. Here, we investigate the potential interplay between nucleotide composition bias and the regulation of exon recognition during splicing. RESULTS: By analyzing dozens of RNA-seq datasets, we identify two groups of splicing factors that activate either about 3200 GC-rich exons or about 4000 AT-rich exons. We show that splicing factor–dependent GC-rich exons have predicted RNA secondary structures at 5′ ss and are dependent on U1 snRNP–associated proteins. In contrast, splicing factor–dependent AT-rich exons have a large number of decoy branch points, SF1- or U2AF2-binding sites and are dependent on U2 snRNP–associated proteins. Nucleotide composition bias also influences local chromatin organization, with consequences for exon recognition during splicing. Interestingly, the GC content of exons correlates with that of their hosting genes, isochores, and topologically associated domains. CONCLUSIONS: We propose that regional nucleotide composition bias over several dozens of kilobase pairs leaves a local footprint at the exon level and induces constraints during splicing that can be alleviated by local chromatin organization at the DNA level and recruitment of specific splicing factors at the RNA level. Therefore, nucleotide composition bias establishes a direct link between genome organization and local regulatory processes, like alternative splicing. BioMed Central 2019-11-29 /pmc/articles/PMC6883713/ /pubmed/31783898 http://dx.doi.org/10.1186/s13059-019-1869-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lemaire, Sébastien
Fontrodona, Nicolas
Aubé, Fabien
Claude, Jean-Baptiste
Polvèche, Hélène
Modolo, Laurent
Bourgeois, Cyril F.
Mortreux, Franck
Auboeuf, Didier
Characterizing the interplay between gene nucleotide composition bias and splicing
title Characterizing the interplay between gene nucleotide composition bias and splicing
title_full Characterizing the interplay between gene nucleotide composition bias and splicing
title_fullStr Characterizing the interplay between gene nucleotide composition bias and splicing
title_full_unstemmed Characterizing the interplay between gene nucleotide composition bias and splicing
title_short Characterizing the interplay between gene nucleotide composition bias and splicing
title_sort characterizing the interplay between gene nucleotide composition bias and splicing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883713/
https://www.ncbi.nlm.nih.gov/pubmed/31783898
http://dx.doi.org/10.1186/s13059-019-1869-y
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