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iRNA-PseU: Identifying RNA pseudouridine sites
As the most abundant RNA modification, pseudouridine plays important roles in many biological processes. Occurring at the uridine site and catalyzed by pseudouridine synthase, the modification has been observed in nearly all kinds of RNA, including transfer RNA, messenger RNA, small nuclear or nucle...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330936/ https://www.ncbi.nlm.nih.gov/pubmed/28427142 http://dx.doi.org/10.1038/mtna.2016.37 |
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author | Chen, Wei Tang, Hua Ye, Jing Lin, Hao Chou, Kuo-Chen |
author_facet | Chen, Wei Tang, Hua Ye, Jing Lin, Hao Chou, Kuo-Chen |
author_sort | Chen, Wei |
collection | PubMed |
description | As the most abundant RNA modification, pseudouridine plays important roles in many biological processes. Occurring at the uridine site and catalyzed by pseudouridine synthase, the modification has been observed in nearly all kinds of RNA, including transfer RNA, messenger RNA, small nuclear or nucleolar RNA, and ribosomal RNA. Accordingly, its importance to basic research and drug development is self-evident. Despite some experimental technologies have been developed to detect the pseudouridine sites, they are both time-consuming and expensive. Facing the explosive growth of RNA sequences in the postgenomic age, we are challenged to address the problem by computational approaches: For an uncharacterized RNA sequence, can we predict which of its uridine sites can be modified as pseudouridine and which ones cannot? Here a predictor called “iRNA-PseU” was proposed by incorporating the chemical properties of nucleotides and their occurrence frequency density distributions into the general form of pseudo nucleotide composition (PseKNC). It has been demonstrated via the rigorous jackknife test, independent dataset test, and practical genome-wide analysis that the proposed predictor remarkably outperforms its counterpart. For the convenience of most experimental scientists, the web-server for iRNA-PseU was established at http://lin.uestc.edu.cn/server/iRNA-PseU, by which users can easily get their desired results without the need to go through the mathematical details. |
format | Online Article Text |
id | pubmed-5330936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53309362017-03-21 iRNA-PseU: Identifying RNA pseudouridine sites Chen, Wei Tang, Hua Ye, Jing Lin, Hao Chou, Kuo-Chen Mol Ther Nucleic Acids Original Article As the most abundant RNA modification, pseudouridine plays important roles in many biological processes. Occurring at the uridine site and catalyzed by pseudouridine synthase, the modification has been observed in nearly all kinds of RNA, including transfer RNA, messenger RNA, small nuclear or nucleolar RNA, and ribosomal RNA. Accordingly, its importance to basic research and drug development is self-evident. Despite some experimental technologies have been developed to detect the pseudouridine sites, they are both time-consuming and expensive. Facing the explosive growth of RNA sequences in the postgenomic age, we are challenged to address the problem by computational approaches: For an uncharacterized RNA sequence, can we predict which of its uridine sites can be modified as pseudouridine and which ones cannot? Here a predictor called “iRNA-PseU” was proposed by incorporating the chemical properties of nucleotides and their occurrence frequency density distributions into the general form of pseudo nucleotide composition (PseKNC). It has been demonstrated via the rigorous jackknife test, independent dataset test, and practical genome-wide analysis that the proposed predictor remarkably outperforms its counterpart. For the convenience of most experimental scientists, the web-server for iRNA-PseU was established at http://lin.uestc.edu.cn/server/iRNA-PseU, by which users can easily get their desired results without the need to go through the mathematical details. Nature Publishing Group 2016-07 2016-07-05 /pmc/articles/PMC5330936/ /pubmed/28427142 http://dx.doi.org/10.1038/mtna.2016.37 Text en Copyright © 2016 Official journal of the American Society of Gene & Cell Therapy http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Article Chen, Wei Tang, Hua Ye, Jing Lin, Hao Chou, Kuo-Chen iRNA-PseU: Identifying RNA pseudouridine sites |
title | iRNA-PseU: Identifying RNA pseudouridine sites |
title_full | iRNA-PseU: Identifying RNA pseudouridine sites |
title_fullStr | iRNA-PseU: Identifying RNA pseudouridine sites |
title_full_unstemmed | iRNA-PseU: Identifying RNA pseudouridine sites |
title_short | iRNA-PseU: Identifying RNA pseudouridine sites |
title_sort | irna-pseu: identifying rna pseudouridine sites |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330936/ https://www.ncbi.nlm.nih.gov/pubmed/28427142 http://dx.doi.org/10.1038/mtna.2016.37 |
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