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Impact of Alternative Splicing on the Human Proteome
Alternative splicing is a critical determinant of genome complexity and, by implication, is assumed to engender proteomic diversity. This notion has not been experimentally tested in a targeted, quantitative manner. Here, we have developed an integrative approach to ask whether perturbations in mRNA...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554779/ https://www.ncbi.nlm.nih.gov/pubmed/28768205 http://dx.doi.org/10.1016/j.celrep.2017.07.025 |
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author | Liu, Yansheng Gonzàlez-Porta, Mar Santos, Sergio Brazma, Alvis Marioni, John C. Aebersold, Ruedi Venkitaraman, Ashok R. Wickramasinghe, Vihandha O. |
author_facet | Liu, Yansheng Gonzàlez-Porta, Mar Santos, Sergio Brazma, Alvis Marioni, John C. Aebersold, Ruedi Venkitaraman, Ashok R. Wickramasinghe, Vihandha O. |
author_sort | Liu, Yansheng |
collection | PubMed |
description | Alternative splicing is a critical determinant of genome complexity and, by implication, is assumed to engender proteomic diversity. This notion has not been experimentally tested in a targeted, quantitative manner. Here, we have developed an integrative approach to ask whether perturbations in mRNA splicing patterns alter the composition of the proteome. We integrate RNA sequencing (RNA-seq) (to comprehensively report intron retention, differential transcript usage, and gene expression) with a data-independent acquisition (DIA) method, SWATH-MS (sequential window acquisition of all theoretical spectra-mass spectrometry), to capture an unbiased, quantitative snapshot of the impact of constitutive and alternative splicing events on the proteome. Whereas intron retention is accompanied by decreased protein abundance, alterations in differential transcript usage and gene expression alter protein abundance proportionate to transcript levels. Our findings illustrate how RNA splicing links isoform expression in the human transcriptome with proteomic diversity and provides a foundation for studying perturbations associated with human diseases. |
format | Online Article Text |
id | pubmed-5554779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55547792017-08-22 Impact of Alternative Splicing on the Human Proteome Liu, Yansheng Gonzàlez-Porta, Mar Santos, Sergio Brazma, Alvis Marioni, John C. Aebersold, Ruedi Venkitaraman, Ashok R. Wickramasinghe, Vihandha O. Cell Rep Resource Alternative splicing is a critical determinant of genome complexity and, by implication, is assumed to engender proteomic diversity. This notion has not been experimentally tested in a targeted, quantitative manner. Here, we have developed an integrative approach to ask whether perturbations in mRNA splicing patterns alter the composition of the proteome. We integrate RNA sequencing (RNA-seq) (to comprehensively report intron retention, differential transcript usage, and gene expression) with a data-independent acquisition (DIA) method, SWATH-MS (sequential window acquisition of all theoretical spectra-mass spectrometry), to capture an unbiased, quantitative snapshot of the impact of constitutive and alternative splicing events on the proteome. Whereas intron retention is accompanied by decreased protein abundance, alterations in differential transcript usage and gene expression alter protein abundance proportionate to transcript levels. Our findings illustrate how RNA splicing links isoform expression in the human transcriptome with proteomic diversity and provides a foundation for studying perturbations associated with human diseases. Cell Press 2017-08-01 /pmc/articles/PMC5554779/ /pubmed/28768205 http://dx.doi.org/10.1016/j.celrep.2017.07.025 Text en Crown Copyright © 2017 Published by Elsevier Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Resource Liu, Yansheng Gonzàlez-Porta, Mar Santos, Sergio Brazma, Alvis Marioni, John C. Aebersold, Ruedi Venkitaraman, Ashok R. Wickramasinghe, Vihandha O. Impact of Alternative Splicing on the Human Proteome |
title | Impact of Alternative Splicing on the Human Proteome |
title_full | Impact of Alternative Splicing on the Human Proteome |
title_fullStr | Impact of Alternative Splicing on the Human Proteome |
title_full_unstemmed | Impact of Alternative Splicing on the Human Proteome |
title_short | Impact of Alternative Splicing on the Human Proteome |
title_sort | impact of alternative splicing on the human proteome |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554779/ https://www.ncbi.nlm.nih.gov/pubmed/28768205 http://dx.doi.org/10.1016/j.celrep.2017.07.025 |
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