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Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing

Small noncoding RNAs (sRNA/sncRNAs) are generated from different genomic loci and play important roles in biological processes, such as cell proliferation and the regulation of gene expression. Next-generation sequencing (NGS) has provided an unprecedented opportunity to discover and quantify divers...

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Autores principales: Liu, Qi, Ding, Changjun, Lang, Xiaoqiang, Guo, Ganggang, Chen, Jiafei, Su, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820841/
https://www.ncbi.nlm.nih.gov/pubmed/31885040
http://dx.doi.org/10.1093/bib/bbz151
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author Liu, Qi
Ding, Changjun
Lang, Xiaoqiang
Guo, Ganggang
Chen, Jiafei
Su, Xiaohua
author_facet Liu, Qi
Ding, Changjun
Lang, Xiaoqiang
Guo, Ganggang
Chen, Jiafei
Su, Xiaohua
author_sort Liu, Qi
collection PubMed
description Small noncoding RNAs (sRNA/sncRNAs) are generated from different genomic loci and play important roles in biological processes, such as cell proliferation and the regulation of gene expression. Next-generation sequencing (NGS) has provided an unprecedented opportunity to discover and quantify diverse kinds of sncRNA, such as tRFs (tRNA-derived small RNA fragments), phasiRNAs (phased, secondary, small-interfering RNAs), Piwi-interacting RNA (piRNAs) and plant-specific 24-nt short interfering RNAs (siRNAs). However, currently available web-based tools do not provide approaches to comprehensively analyze all of these diverse sncRNAs. This study presents a novel integrated platform, sRNAtools (https://bioinformatics.caf.ac.cn/sRNAtools), that can be used in conjunction with high-throughput sequencing to identify and functionally annotate sncRNAs, including profiling microRNAss, piRNAs, tRNAs, small nuclear RNAs, small nucleolar RNAs and rRNAs and discovering isomiRs, tRFs, phasiRNAs and plant-specific 24-nt siRNAs for up to 21 model organisms. Different modules, including single case, batch case, group case and target case, are developed to provide users with flexible ways of studying sncRNA. In addition, sRNAtools supports different ways of uploading small RNA sequencing data in a very interactive queue system, while local versions based on the program package/Docker/virtureBox are also available. We believe that sRNAtools will greatly benefit the scientific community as an integrated tool for studying sncRNAs.
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spelling pubmed-78208412021-01-27 Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing Liu, Qi Ding, Changjun Lang, Xiaoqiang Guo, Ganggang Chen, Jiafei Su, Xiaohua Brief Bioinform Prob Solv Prot Small noncoding RNAs (sRNA/sncRNAs) are generated from different genomic loci and play important roles in biological processes, such as cell proliferation and the regulation of gene expression. Next-generation sequencing (NGS) has provided an unprecedented opportunity to discover and quantify diverse kinds of sncRNA, such as tRFs (tRNA-derived small RNA fragments), phasiRNAs (phased, secondary, small-interfering RNAs), Piwi-interacting RNA (piRNAs) and plant-specific 24-nt short interfering RNAs (siRNAs). However, currently available web-based tools do not provide approaches to comprehensively analyze all of these diverse sncRNAs. This study presents a novel integrated platform, sRNAtools (https://bioinformatics.caf.ac.cn/sRNAtools), that can be used in conjunction with high-throughput sequencing to identify and functionally annotate sncRNAs, including profiling microRNAss, piRNAs, tRNAs, small nuclear RNAs, small nucleolar RNAs and rRNAs and discovering isomiRs, tRFs, phasiRNAs and plant-specific 24-nt siRNAs for up to 21 model organisms. Different modules, including single case, batch case, group case and target case, are developed to provide users with flexible ways of studying sncRNA. In addition, sRNAtools supports different ways of uploading small RNA sequencing data in a very interactive queue system, while local versions based on the program package/Docker/virtureBox are also available. We believe that sRNAtools will greatly benefit the scientific community as an integrated tool for studying sncRNAs. Oxford University Press 2019-12-24 /pmc/articles/PMC7820841/ /pubmed/31885040 http://dx.doi.org/10.1093/bib/bbz151 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 Prob Solv Prot
Liu, Qi
Ding, Changjun
Lang, Xiaoqiang
Guo, Ganggang
Chen, Jiafei
Su, Xiaohua
Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing
title Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing
title_full Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing
title_fullStr Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing
title_full_unstemmed Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing
title_short Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing
title_sort small noncoding rna discovery and profiling with srnatools based on high-throughput sequencing
topic Prob Solv Prot
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820841/
https://www.ncbi.nlm.nih.gov/pubmed/31885040
http://dx.doi.org/10.1093/bib/bbz151
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