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Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs

Measuring mRNA decay in tumours is a prohibitive challenge, limiting our ability to map the post-transcriptional programs of cancer. Here, using a statistical framework to decouple transcriptional and post-transcriptional effects in RNA-seq data, we uncover the mRNA stability changes that accompany...

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Autores principales: Perron, Gabrielle, Jandaghi, Pouria, Moslemi, Elham, Nishimura, Tamiko, Rajaee, Maryam, Alkallas, Rached, Lu, Tianyuan, Riazalhosseini, Yasser, Najafabadi, Hamed S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392771/
https://www.ncbi.nlm.nih.gov/pubmed/35987939
http://dx.doi.org/10.1038/s42003-022-03796-w
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author Perron, Gabrielle
Jandaghi, Pouria
Moslemi, Elham
Nishimura, Tamiko
Rajaee, Maryam
Alkallas, Rached
Lu, Tianyuan
Riazalhosseini, Yasser
Najafabadi, Hamed S.
author_facet Perron, Gabrielle
Jandaghi, Pouria
Moslemi, Elham
Nishimura, Tamiko
Rajaee, Maryam
Alkallas, Rached
Lu, Tianyuan
Riazalhosseini, Yasser
Najafabadi, Hamed S.
author_sort Perron, Gabrielle
collection PubMed
description Measuring mRNA decay in tumours is a prohibitive challenge, limiting our ability to map the post-transcriptional programs of cancer. Here, using a statistical framework to decouple transcriptional and post-transcriptional effects in RNA-seq data, we uncover the mRNA stability changes that accompany tumour development and progression. Analysis of 7760 samples across 18 cancer types suggests that mRNA stability changes are ~30% as frequent as transcriptional events, highlighting their widespread role in shaping the tumour transcriptome. Dysregulation of programs associated with >80 RNA-binding proteins (RBPs) and microRNAs (miRNAs) drive these changes, including multi-cancer inactivation of RBFOX and miR-29 families. Phenotypic activation or inhibition of RBFOX1 highlights its role in calcium signaling dysregulation, while modulation of miR-29 shows its impact on extracellular matrix organization and stemness genes. Overall, our study underlines the integral role of mRNA stability in shaping the cancer transcriptome, and provides a resource for systematic interrogation of cancer-associated stability pathways.
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spelling pubmed-93927712022-08-22 Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs Perron, Gabrielle Jandaghi, Pouria Moslemi, Elham Nishimura, Tamiko Rajaee, Maryam Alkallas, Rached Lu, Tianyuan Riazalhosseini, Yasser Najafabadi, Hamed S. Commun Biol Article Measuring mRNA decay in tumours is a prohibitive challenge, limiting our ability to map the post-transcriptional programs of cancer. Here, using a statistical framework to decouple transcriptional and post-transcriptional effects in RNA-seq data, we uncover the mRNA stability changes that accompany tumour development and progression. Analysis of 7760 samples across 18 cancer types suggests that mRNA stability changes are ~30% as frequent as transcriptional events, highlighting their widespread role in shaping the tumour transcriptome. Dysregulation of programs associated with >80 RNA-binding proteins (RBPs) and microRNAs (miRNAs) drive these changes, including multi-cancer inactivation of RBFOX and miR-29 families. Phenotypic activation or inhibition of RBFOX1 highlights its role in calcium signaling dysregulation, while modulation of miR-29 shows its impact on extracellular matrix organization and stemness genes. Overall, our study underlines the integral role of mRNA stability in shaping the cancer transcriptome, and provides a resource for systematic interrogation of cancer-associated stability pathways. Nature Publishing Group UK 2022-08-20 /pmc/articles/PMC9392771/ /pubmed/35987939 http://dx.doi.org/10.1038/s42003-022-03796-w Text en © The Author(s) 2022 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
Perron, Gabrielle
Jandaghi, Pouria
Moslemi, Elham
Nishimura, Tamiko
Rajaee, Maryam
Alkallas, Rached
Lu, Tianyuan
Riazalhosseini, Yasser
Najafabadi, Hamed S.
Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs
title Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs
title_full Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs
title_fullStr Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs
title_full_unstemmed Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs
title_short Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs
title_sort pan-cancer analysis of mrna stability for decoding tumour post-transcriptional programs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392771/
https://www.ncbi.nlm.nih.gov/pubmed/35987939
http://dx.doi.org/10.1038/s42003-022-03796-w
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