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An in-depth map of polyadenylation sites in cancer
We present a comprehensive map of over 1 million polyadenylation sites and quantify their usage in major cancers and tumor cell lines using direct RNA sequencing. We built the Expression and Polyadenylation Database to enable the visualization of the polyadenylation maps in various cancers and to fa...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3458571/ https://www.ncbi.nlm.nih.gov/pubmed/22753024 http://dx.doi.org/10.1093/nar/gks637 |
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author | Lin, Yuefeng Li, Zhihua Ozsolak, Fatih Kim, Sang Woo Arango-Argoty, Gustavo Liu, Teresa T. Tenenbaum, Scott A. Bailey, Timothy Monaghan, A. Paula Milos, Patrice M. John, Bino |
author_facet | Lin, Yuefeng Li, Zhihua Ozsolak, Fatih Kim, Sang Woo Arango-Argoty, Gustavo Liu, Teresa T. Tenenbaum, Scott A. Bailey, Timothy Monaghan, A. Paula Milos, Patrice M. John, Bino |
author_sort | Lin, Yuefeng |
collection | PubMed |
description | We present a comprehensive map of over 1 million polyadenylation sites and quantify their usage in major cancers and tumor cell lines using direct RNA sequencing. We built the Expression and Polyadenylation Database to enable the visualization of the polyadenylation maps in various cancers and to facilitate the discovery of novel genes and gene isoforms that are potentially important to tumorigenesis. Analyses of polyadenylation sites indicate that a large fraction (∼30%) of mRNAs contain alternative polyadenylation sites in their 3′ untranslated regions, independent of the cell type. The shortest 3′ untranslated region isoforms are preferentially upregulated in cancer tissues, genome-wide. Candidate targets of alternative polyadenylation-mediated upregulation of short isoforms include POLR2K, and signaling cascades of cell–cell and cell–extracellular matrix contact, particularly involving regulators of Rho GTPases. Polyadenylation maps also helped to improve 3′ untranslated region annotations and identify candidate regulatory marks such as sequence motifs, H3K36Me3 and Pabpc1 that are isoform dependent and occur in a position-specific manner. In summary, these results highlight the need to go beyond monitoring only the cumulative transcript levels for a gene, to separately analysing the expression of its RNA isoforms. |
format | Online Article Text |
id | pubmed-3458571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34585712012-09-27 An in-depth map of polyadenylation sites in cancer Lin, Yuefeng Li, Zhihua Ozsolak, Fatih Kim, Sang Woo Arango-Argoty, Gustavo Liu, Teresa T. Tenenbaum, Scott A. Bailey, Timothy Monaghan, A. Paula Milos, Patrice M. John, Bino Nucleic Acids Res Genomics We present a comprehensive map of over 1 million polyadenylation sites and quantify their usage in major cancers and tumor cell lines using direct RNA sequencing. We built the Expression and Polyadenylation Database to enable the visualization of the polyadenylation maps in various cancers and to facilitate the discovery of novel genes and gene isoforms that are potentially important to tumorigenesis. Analyses of polyadenylation sites indicate that a large fraction (∼30%) of mRNAs contain alternative polyadenylation sites in their 3′ untranslated regions, independent of the cell type. The shortest 3′ untranslated region isoforms are preferentially upregulated in cancer tissues, genome-wide. Candidate targets of alternative polyadenylation-mediated upregulation of short isoforms include POLR2K, and signaling cascades of cell–cell and cell–extracellular matrix contact, particularly involving regulators of Rho GTPases. Polyadenylation maps also helped to improve 3′ untranslated region annotations and identify candidate regulatory marks such as sequence motifs, H3K36Me3 and Pabpc1 that are isoform dependent and occur in a position-specific manner. In summary, these results highlight the need to go beyond monitoring only the cumulative transcript levels for a gene, to separately analysing the expression of its RNA isoforms. Oxford University Press 2012-09 2012-06-28 /pmc/articles/PMC3458571/ /pubmed/22753024 http://dx.doi.org/10.1093/nar/gks637 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomics Lin, Yuefeng Li, Zhihua Ozsolak, Fatih Kim, Sang Woo Arango-Argoty, Gustavo Liu, Teresa T. Tenenbaum, Scott A. Bailey, Timothy Monaghan, A. Paula Milos, Patrice M. John, Bino An in-depth map of polyadenylation sites in cancer |
title | An in-depth map of polyadenylation sites in cancer |
title_full | An in-depth map of polyadenylation sites in cancer |
title_fullStr | An in-depth map of polyadenylation sites in cancer |
title_full_unstemmed | An in-depth map of polyadenylation sites in cancer |
title_short | An in-depth map of polyadenylation sites in cancer |
title_sort | in-depth map of polyadenylation sites in cancer |
topic | Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3458571/ https://www.ncbi.nlm.nih.gov/pubmed/22753024 http://dx.doi.org/10.1093/nar/gks637 |
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