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Genome-wide identification and differential analysis of translational initiation

Translation is principally regulated at the initiation stage. The development of the translation initiation (TI) sequencing (TI-seq) technique has enabled the global mapping of TIs and revealed unanticipated complex translational landscapes in metazoans. Despite the wide adoption of TI-seq, there is...

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Autores principales: Zhang, Peng, He, Dandan, Xu, Yi, Hou, Jiakai, Pan, Bih-Fang, Wang, Yunfei, Liu, Tao, Davis, Christel M., Ehli, Erik A., Tan, Lin, Zhou, Feng, Hu, Jian, Yu, Yonghao, Chen, Xi, Nguyen, Tuan M., Rosen, Jeffrey M., Hawke, David H., Ji, Zhe, Chen, Yiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701008/
https://www.ncbi.nlm.nih.gov/pubmed/29170441
http://dx.doi.org/10.1038/s41467-017-01981-8
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author Zhang, Peng
He, Dandan
Xu, Yi
Hou, Jiakai
Pan, Bih-Fang
Wang, Yunfei
Liu, Tao
Davis, Christel M.
Ehli, Erik A.
Tan, Lin
Zhou, Feng
Hu, Jian
Yu, Yonghao
Chen, Xi
Nguyen, Tuan M.
Rosen, Jeffrey M.
Hawke, David H.
Ji, Zhe
Chen, Yiwen
author_facet Zhang, Peng
He, Dandan
Xu, Yi
Hou, Jiakai
Pan, Bih-Fang
Wang, Yunfei
Liu, Tao
Davis, Christel M.
Ehli, Erik A.
Tan, Lin
Zhou, Feng
Hu, Jian
Yu, Yonghao
Chen, Xi
Nguyen, Tuan M.
Rosen, Jeffrey M.
Hawke, David H.
Ji, Zhe
Chen, Yiwen
author_sort Zhang, Peng
collection PubMed
description Translation is principally regulated at the initiation stage. The development of the translation initiation (TI) sequencing (TI-seq) technique has enabled the global mapping of TIs and revealed unanticipated complex translational landscapes in metazoans. Despite the wide adoption of TI-seq, there is no computational tool currently available for analyzing TI-seq data. To fill this gap, we develop a comprehensive toolkit named Ribo-TISH, which allows for detecting and quantitatively comparing TIs across conditions from TI-seq data. Ribo-TISH can also predict novel open reading frames (ORFs) from regular ribosome profiling (rRibo-seq) data and outperform several established methods in both computational efficiency and prediction accuracy. Applied to published TI-seq/rRibo-seq data sets, Ribo-TISH uncovers a novel signature of elevated mitochondrial translation during amino-acid deprivation and predicts novel ORFs in 5′UTRs, long noncoding RNAs, and introns. These successful applications demonstrate the power of Ribo-TISH in extracting biological insights from TI-seq/rRibo-seq data.
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spelling pubmed-57010082017-11-27 Genome-wide identification and differential analysis of translational initiation Zhang, Peng He, Dandan Xu, Yi Hou, Jiakai Pan, Bih-Fang Wang, Yunfei Liu, Tao Davis, Christel M. Ehli, Erik A. Tan, Lin Zhou, Feng Hu, Jian Yu, Yonghao Chen, Xi Nguyen, Tuan M. Rosen, Jeffrey M. Hawke, David H. Ji, Zhe Chen, Yiwen Nat Commun Article Translation is principally regulated at the initiation stage. The development of the translation initiation (TI) sequencing (TI-seq) technique has enabled the global mapping of TIs and revealed unanticipated complex translational landscapes in metazoans. Despite the wide adoption of TI-seq, there is no computational tool currently available for analyzing TI-seq data. To fill this gap, we develop a comprehensive toolkit named Ribo-TISH, which allows for detecting and quantitatively comparing TIs across conditions from TI-seq data. Ribo-TISH can also predict novel open reading frames (ORFs) from regular ribosome profiling (rRibo-seq) data and outperform several established methods in both computational efficiency and prediction accuracy. Applied to published TI-seq/rRibo-seq data sets, Ribo-TISH uncovers a novel signature of elevated mitochondrial translation during amino-acid deprivation and predicts novel ORFs in 5′UTRs, long noncoding RNAs, and introns. These successful applications demonstrate the power of Ribo-TISH in extracting biological insights from TI-seq/rRibo-seq data. Nature Publishing Group UK 2017-11-23 /pmc/articles/PMC5701008/ /pubmed/29170441 http://dx.doi.org/10.1038/s41467-017-01981-8 Text en © The Author(s) 2017 Open AccessThis 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 Commonslicense, unless indicated otherwise in a credit line to the material. If material is not included in the article’sCreative 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, Peng
He, Dandan
Xu, Yi
Hou, Jiakai
Pan, Bih-Fang
Wang, Yunfei
Liu, Tao
Davis, Christel M.
Ehli, Erik A.
Tan, Lin
Zhou, Feng
Hu, Jian
Yu, Yonghao
Chen, Xi
Nguyen, Tuan M.
Rosen, Jeffrey M.
Hawke, David H.
Ji, Zhe
Chen, Yiwen
Genome-wide identification and differential analysis of translational initiation
title Genome-wide identification and differential analysis of translational initiation
title_full Genome-wide identification and differential analysis of translational initiation
title_fullStr Genome-wide identification and differential analysis of translational initiation
title_full_unstemmed Genome-wide identification and differential analysis of translational initiation
title_short Genome-wide identification and differential analysis of translational initiation
title_sort genome-wide identification and differential analysis of translational initiation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701008/
https://www.ncbi.nlm.nih.gov/pubmed/29170441
http://dx.doi.org/10.1038/s41467-017-01981-8
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