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Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides
Recent studies show that annotated long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) encode for stable, functional peptides that contribute to human development and disease. To systematically discover lncRNAs and circRNAs encoding peptides, we performed a comprehensive integrative analysis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418880/ https://www.ncbi.nlm.nih.gov/pubmed/32803163 http://dx.doi.org/10.1093/narcan/zcaa015 |
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author | Othoum, Ghofran Coonrod, Emily Zhao, Sidi Dang, Ha X Maher, Christopher A |
author_facet | Othoum, Ghofran Coonrod, Emily Zhao, Sidi Dang, Ha X Maher, Christopher A |
author_sort | Othoum, Ghofran |
collection | PubMed |
description | Recent studies show that annotated long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) encode for stable, functional peptides that contribute to human development and disease. To systematically discover lncRNAs and circRNAs encoding peptides, we performed a comprehensive integrative analysis of mass spectrometry-based proteomic and transcriptomic sequencing data from >900 patients across nine cancer types. This enabled us to identify 19,871 novel peptides derived from 8,903 lncRNAs. Further, we exploited open reading frames overlapping the backspliced region of circRNAs to identify 3,238 peptides that are uniquely derived from 2,834 circRNAs and not their corresponding linear RNAs. Collectively, our pan-cancer proteogenomic analysis will serve as a resource for evaluating the coding potential of lncRNAs and circRNAs that could aid future mechanistic studies exploring their function in cancer. |
format | Online Article Text |
id | pubmed-7418880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74188802020-08-13 Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides Othoum, Ghofran Coonrod, Emily Zhao, Sidi Dang, Ha X Maher, Christopher A NAR Cancer Cancer Computational Biology Recent studies show that annotated long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) encode for stable, functional peptides that contribute to human development and disease. To systematically discover lncRNAs and circRNAs encoding peptides, we performed a comprehensive integrative analysis of mass spectrometry-based proteomic and transcriptomic sequencing data from >900 patients across nine cancer types. This enabled us to identify 19,871 novel peptides derived from 8,903 lncRNAs. Further, we exploited open reading frames overlapping the backspliced region of circRNAs to identify 3,238 peptides that are uniquely derived from 2,834 circRNAs and not their corresponding linear RNAs. Collectively, our pan-cancer proteogenomic analysis will serve as a resource for evaluating the coding potential of lncRNAs and circRNAs that could aid future mechanistic studies exploring their function in cancer. Oxford University Press 2020-08-11 /pmc/articles/PMC7418880/ /pubmed/32803163 http://dx.doi.org/10.1093/narcan/zcaa015 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of NAR Cancer. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Cancer Computational Biology Othoum, Ghofran Coonrod, Emily Zhao, Sidi Dang, Ha X Maher, Christopher A Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides |
title | Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides |
title_full | Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides |
title_fullStr | Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides |
title_full_unstemmed | Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides |
title_short | Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides |
title_sort | pan-cancer proteogenomic analysis reveals long and circular noncoding rnas encoding peptides |
topic | Cancer Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418880/ https://www.ncbi.nlm.nih.gov/pubmed/32803163 http://dx.doi.org/10.1093/narcan/zcaa015 |
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