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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7141862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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