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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
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.
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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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