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Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite

MOTIVATION: RNA 5-methylcytosine (m(5)C) is a type of post-transcriptional modification that may be involved in numerous biological processes and tumorigenesis. RNA m(5)C can be profiled at single-nucleotide resolution by high-throughput sequencing of RNA treated with bisulfite (RNA-BisSeq). However...

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Autores principales: Liu, Junfeng, An, Ziyang, Luo, Jianjun, Li, Jing, Li, Feifei, Zhang, Zhihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141862/
https://www.ncbi.nlm.nih.gov/pubmed/31794005
http://dx.doi.org/10.1093/bioinformatics/btz900
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author Liu, Junfeng
An, Ziyang
Luo, Jianjun
Li, Jing
Li, Feifei
Zhang, Zhihua
author_facet Liu, Junfeng
An, Ziyang
Luo, Jianjun
Li, Jing
Li, Feifei
Zhang, Zhihua
author_sort Liu, Junfeng
collection PubMed
description MOTIVATION: RNA 5-methylcytosine (m(5)C) is a type of post-transcriptional modification that may be involved in numerous biological processes and tumorigenesis. RNA m(5)C can be profiled at single-nucleotide resolution by high-throughput sequencing of RNA treated with bisulfite (RNA-BisSeq). However, the exploration of transcriptome-wide profile and potential function of m(5)C in splicing remains to be elucidated due to lack of isoform level m(5)C quantification tool. RESULTS: We developed a computational package to quantify Epitranscriptomal RNA m(5)C at the transcript isoform level (named Episo). Episo consists of three tools: mapper, quant and Bisulfitefq, for mapping, quantifying and simulating RNA-BisSeq data, respectively. The high accuracy of Episo was validated using an improved m(5)C-specific methylated RNA immunoprecipitation (meRIP) protocol, as well as a set of in silico experiments. By applying Episo to public human and mouse RNA-BisSeq data, we found that the RNA m(5)C is not evenly distributed among the transcript isoforms, implying the m(5)C may subject to be regulated at isoform level. AVAILABILITY AND IMPLEMENTATION: Episo is released under the GNU GPLv3+ license. The resource code Episo is freely accessible from https://github.com/liujunfengtop/Episo (with Tophat/cufflink) and https://github.com/liujunfengtop/Episo/tree/master/Episo_Kallisto (with Kallisto). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-71418622020-04-13 Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite Liu, Junfeng An, Ziyang Luo, Jianjun Li, Jing Li, Feifei Zhang, Zhihua Bioinformatics Original Papers MOTIVATION: RNA 5-methylcytosine (m(5)C) is a type of post-transcriptional modification that may be involved in numerous biological processes and tumorigenesis. RNA m(5)C can be profiled at single-nucleotide resolution by high-throughput sequencing of RNA treated with bisulfite (RNA-BisSeq). However, the exploration of transcriptome-wide profile and potential function of m(5)C in splicing remains to be elucidated due to lack of isoform level m(5)C quantification tool. RESULTS: We developed a computational package to quantify Epitranscriptomal RNA m(5)C at the transcript isoform level (named Episo). Episo consists of three tools: mapper, quant and Bisulfitefq, for mapping, quantifying and simulating RNA-BisSeq data, respectively. The high accuracy of Episo was validated using an improved m(5)C-specific methylated RNA immunoprecipitation (meRIP) protocol, as well as a set of in silico experiments. By applying Episo to public human and mouse RNA-BisSeq data, we found that the RNA m(5)C is not evenly distributed among the transcript isoforms, implying the m(5)C may subject to be regulated at isoform level. AVAILABILITY AND IMPLEMENTATION: Episo is released under the GNU GPLv3+ license. The resource code Episo is freely accessible from https://github.com/liujunfengtop/Episo (with Tophat/cufflink) and https://github.com/liujunfengtop/Episo/tree/master/Episo_Kallisto (with Kallisto). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-04-01 2019-12-03 /pmc/articles/PMC7141862/ /pubmed/31794005 http://dx.doi.org/10.1093/bioinformatics/btz900 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Liu, Junfeng
An, Ziyang
Luo, Jianjun
Li, Jing
Li, Feifei
Zhang, Zhihua
Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite
title Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite
title_full Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite
title_fullStr Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite
title_full_unstemmed Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite
title_short Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite
title_sort episo: quantitative estimation of rna 5-methylcytosine at isoform level by high-throughput sequencing of rna treated with bisulfite
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141862/
https://www.ncbi.nlm.nih.gov/pubmed/31794005
http://dx.doi.org/10.1093/bioinformatics/btz900
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