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Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer

The functional consequences of genetic variants within 5’ untranslated regions (UTRs) on a genome-wide scale are poorly understood in disease. Here we develop a high-throughput multi-layer functional genomics method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to quanti...

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Autores principales: Lim, Yiting, Arora, Sonali, Schuster, Samantha L., Corey, Lukas, Fitzgibbon, Matthew, Wladyka, Cynthia L., Wu, Xiaoying, Coleman, Ilsa M., Delrow, Jeffrey J., Corey, Eva, True, Lawrence D., Nelson, Peter S., Ha, Gavin, Hsieh, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270899/
https://www.ncbi.nlm.nih.gov/pubmed/34244513
http://dx.doi.org/10.1038/s41467-021-24445-6
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author Lim, Yiting
Arora, Sonali
Schuster, Samantha L.
Corey, Lukas
Fitzgibbon, Matthew
Wladyka, Cynthia L.
Wu, Xiaoying
Coleman, Ilsa M.
Delrow, Jeffrey J.
Corey, Eva
True, Lawrence D.
Nelson, Peter S.
Ha, Gavin
Hsieh, Andrew C.
author_facet Lim, Yiting
Arora, Sonali
Schuster, Samantha L.
Corey, Lukas
Fitzgibbon, Matthew
Wladyka, Cynthia L.
Wu, Xiaoying
Coleman, Ilsa M.
Delrow, Jeffrey J.
Corey, Eva
True, Lawrence D.
Nelson, Peter S.
Ha, Gavin
Hsieh, Andrew C.
author_sort Lim, Yiting
collection PubMed
description The functional consequences of genetic variants within 5’ untranslated regions (UTRs) on a genome-wide scale are poorly understood in disease. Here we develop a high-throughput multi-layer functional genomics method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to quantify the molecular consequences of somatic 5’ UTR mutations in human prostate cancer. We show that 5’ UTR mutations can control transcript levels and mRNA translation rates through the creation of DNA binding elements or RNA-based cis-regulatory motifs. We discover that point mutations can simultaneously impact transcript and translation levels of the same gene. We provide evidence that functional 5’ UTR mutations in the MAP kinase signaling pathway can upregulate pathway-specific gene expression and are associated with clinical outcomes. Our study reveals the diverse mechanisms by which the mutational landscape of 5’ UTRs can co-opt gene expression and demonstrates that single nucleotide alterations within 5’ UTRs are functional in cancer.
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spelling pubmed-82708992021-07-23 Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer Lim, Yiting Arora, Sonali Schuster, Samantha L. Corey, Lukas Fitzgibbon, Matthew Wladyka, Cynthia L. Wu, Xiaoying Coleman, Ilsa M. Delrow, Jeffrey J. Corey, Eva True, Lawrence D. Nelson, Peter S. Ha, Gavin Hsieh, Andrew C. Nat Commun Article The functional consequences of genetic variants within 5’ untranslated regions (UTRs) on a genome-wide scale are poorly understood in disease. Here we develop a high-throughput multi-layer functional genomics method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to quantify the molecular consequences of somatic 5’ UTR mutations in human prostate cancer. We show that 5’ UTR mutations can control transcript levels and mRNA translation rates through the creation of DNA binding elements or RNA-based cis-regulatory motifs. We discover that point mutations can simultaneously impact transcript and translation levels of the same gene. We provide evidence that functional 5’ UTR mutations in the MAP kinase signaling pathway can upregulate pathway-specific gene expression and are associated with clinical outcomes. Our study reveals the diverse mechanisms by which the mutational landscape of 5’ UTRs can co-opt gene expression and demonstrates that single nucleotide alterations within 5’ UTRs are functional in cancer. Nature Publishing Group UK 2021-07-09 /pmc/articles/PMC8270899/ /pubmed/34244513 http://dx.doi.org/10.1038/s41467-021-24445-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lim, Yiting
Arora, Sonali
Schuster, Samantha L.
Corey, Lukas
Fitzgibbon, Matthew
Wladyka, Cynthia L.
Wu, Xiaoying
Coleman, Ilsa M.
Delrow, Jeffrey J.
Corey, Eva
True, Lawrence D.
Nelson, Peter S.
Ha, Gavin
Hsieh, Andrew C.
Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
title Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
title_full Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
title_fullStr Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
title_full_unstemmed Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
title_short Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
title_sort multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270899/
https://www.ncbi.nlm.nih.gov/pubmed/34244513
http://dx.doi.org/10.1038/s41467-021-24445-6
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