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Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers

The protein translational system, including transfer RNAs (tRNAs) and several categories of enzymes, plays a key role in regulating cell proliferation. Translation dysregulation also contributes to cancer development, though relatively little is known about the changes that occur to the translationa...

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Autores principales: Zhang, Zhao, Ye, Youqiong, Gong, Jing, Ruan, Hang, Liu, Chun-Jie, Xiang, Yu, Cai, Chunyan, Guo, An-Yuan, Ling, Jiqiang, Diao, Lixia, Weinstein, John N., Han, Leng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303286/
https://www.ncbi.nlm.nih.gov/pubmed/30588513
http://dx.doi.org/10.1038/s42003-018-0239-8
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author Zhang, Zhao
Ye, Youqiong
Gong, Jing
Ruan, Hang
Liu, Chun-Jie
Xiang, Yu
Cai, Chunyan
Guo, An-Yuan
Ling, Jiqiang
Diao, Lixia
Weinstein, John N.
Han, Leng
author_facet Zhang, Zhao
Ye, Youqiong
Gong, Jing
Ruan, Hang
Liu, Chun-Jie
Xiang, Yu
Cai, Chunyan
Guo, An-Yuan
Ling, Jiqiang
Diao, Lixia
Weinstein, John N.
Han, Leng
author_sort Zhang, Zhao
collection PubMed
description The protein translational system, including transfer RNAs (tRNAs) and several categories of enzymes, plays a key role in regulating cell proliferation. Translation dysregulation also contributes to cancer development, though relatively little is known about the changes that occur to the translational system in cancer. Here, we present global analyses of tRNAs and three categories of enzymes involved in translational regulation in ~10,000 cancer patients across 31 cancer types from The Cancer Genome Atlas. By analyzing the expression levels of tRNAs at the gene, codon, and amino acid levels, we identified unequal alterations in tRNA expression, likely due to the uneven distribution of tRNAs decoding different codons. We find that overexpression of tRNAs recognizing codons with a low observed-over-expected ratio may overcome the translational bottleneck in tumorigenesis. We further observed overall overexpression and amplification of tRNA modification enzymes, aminoacyl-tRNA synthetases, and translation factors, which may play synergistic roles with overexpression of tRNAs to activate the translational systems across multiple cancer types.
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spelling pubmed-63032862018-12-26 Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers Zhang, Zhao Ye, Youqiong Gong, Jing Ruan, Hang Liu, Chun-Jie Xiang, Yu Cai, Chunyan Guo, An-Yuan Ling, Jiqiang Diao, Lixia Weinstein, John N. Han, Leng Commun Biol Article The protein translational system, including transfer RNAs (tRNAs) and several categories of enzymes, plays a key role in regulating cell proliferation. Translation dysregulation also contributes to cancer development, though relatively little is known about the changes that occur to the translational system in cancer. Here, we present global analyses of tRNAs and three categories of enzymes involved in translational regulation in ~10,000 cancer patients across 31 cancer types from The Cancer Genome Atlas. By analyzing the expression levels of tRNAs at the gene, codon, and amino acid levels, we identified unequal alterations in tRNA expression, likely due to the uneven distribution of tRNAs decoding different codons. We find that overexpression of tRNAs recognizing codons with a low observed-over-expected ratio may overcome the translational bottleneck in tumorigenesis. We further observed overall overexpression and amplification of tRNA modification enzymes, aminoacyl-tRNA synthetases, and translation factors, which may play synergistic roles with overexpression of tRNAs to activate the translational systems across multiple cancer types. Nature Publishing Group UK 2018-12-21 /pmc/articles/PMC6303286/ /pubmed/30588513 http://dx.doi.org/10.1038/s42003-018-0239-8 Text en © The Author(s) 2018 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/.
spellingShingle Article
Zhang, Zhao
Ye, Youqiong
Gong, Jing
Ruan, Hang
Liu, Chun-Jie
Xiang, Yu
Cai, Chunyan
Guo, An-Yuan
Ling, Jiqiang
Diao, Lixia
Weinstein, John N.
Han, Leng
Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
title Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
title_full Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
title_fullStr Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
title_full_unstemmed Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
title_short Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
title_sort global analysis of trna and translation factor expression reveals a dynamic landscape of translational regulation in human cancers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303286/
https://www.ncbi.nlm.nih.gov/pubmed/30588513
http://dx.doi.org/10.1038/s42003-018-0239-8
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