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Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing

The spliceosome catalyzes the removal of introns from pre-messenger RNA (mRNA) and subsequent pairing of exons with remarkable fidelity. Some exons are known to be skipped or included in the mature mRNA in a cell type- or context-dependent manner (cassette exons), thereby contributing to the diversi...

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Autores principales: Davis-Turak, Jeremy, Johnson, Tracy L, Hoffmann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237756/
https://www.ncbi.nlm.nih.gov/pubmed/30272246
http://dx.doi.org/10.1093/nar/gky870
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author Davis-Turak, Jeremy
Johnson, Tracy L
Hoffmann, Alexander
author_facet Davis-Turak, Jeremy
Johnson, Tracy L
Hoffmann, Alexander
author_sort Davis-Turak, Jeremy
collection PubMed
description The spliceosome catalyzes the removal of introns from pre-messenger RNA (mRNA) and subsequent pairing of exons with remarkable fidelity. Some exons are known to be skipped or included in the mature mRNA in a cell type- or context-dependent manner (cassette exons), thereby contributing to the diversification of the human proteome. Interestingly, splicing is initiated (and sometimes completed) co-transcriptionally. Here, we develop a kinetic mathematical modeling framework to investigate alternative co-transcriptional splicing (CTS) and, specifically, the control of cassette exons’ inclusion. We show that when splicing is co-transcriptional, default splice patterns of exon inclusion are more likely than when splicing is post-transcriptional, and that certain exons are more likely to be regulatable (i.e. cassette exons) than others, based on the exon–intron structure context. For such regulatable exons, transcriptional elongation rates may affect splicing outcomes. Within the CTS paradigm, we examine previously described hypotheses of co-operativity between splice sites of short introns (i.e. ‘intron definition’) or across short exons (i.e. ‘exon definition’), and find that models encoding these faithfully recapitulate observations in the fly and human genomes, respectively.
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spelling pubmed-62377562018-11-21 Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing Davis-Turak, Jeremy Johnson, Tracy L Hoffmann, Alexander Nucleic Acids Res Computational Biology The spliceosome catalyzes the removal of introns from pre-messenger RNA (mRNA) and subsequent pairing of exons with remarkable fidelity. Some exons are known to be skipped or included in the mature mRNA in a cell type- or context-dependent manner (cassette exons), thereby contributing to the diversification of the human proteome. Interestingly, splicing is initiated (and sometimes completed) co-transcriptionally. Here, we develop a kinetic mathematical modeling framework to investigate alternative co-transcriptional splicing (CTS) and, specifically, the control of cassette exons’ inclusion. We show that when splicing is co-transcriptional, default splice patterns of exon inclusion are more likely than when splicing is post-transcriptional, and that certain exons are more likely to be regulatable (i.e. cassette exons) than others, based on the exon–intron structure context. For such regulatable exons, transcriptional elongation rates may affect splicing outcomes. Within the CTS paradigm, we examine previously described hypotheses of co-operativity between splice sites of short introns (i.e. ‘intron definition’) or across short exons (i.e. ‘exon definition’), and find that models encoding these faithfully recapitulate observations in the fly and human genomes, respectively. Oxford University Press 2018-11-16 2018-10-01 /pmc/articles/PMC6237756/ /pubmed/30272246 http://dx.doi.org/10.1093/nar/gky870 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Davis-Turak, Jeremy
Johnson, Tracy L
Hoffmann, Alexander
Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing
title Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing
title_full Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing
title_fullStr Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing
title_full_unstemmed Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing
title_short Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing
title_sort mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mrna splicing
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237756/
https://www.ncbi.nlm.nih.gov/pubmed/30272246
http://dx.doi.org/10.1093/nar/gky870
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