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{"title":"Investigation of RNA-RNA Interactions Using the RISE Database","authors":"Yanyan Ju, Jing Gong, Yucheng T. Yang, Qiangfeng Cliff Zhang","doi":"10.1002/cpbi.58","DOIUrl":null,"url":null,"abstract":"<p>RNA-RNA interactions (RRIs) are essential to understanding the regulatory mechanisms of RNAs. Mapping RRIs <i>in vivo</i> in a transcriptome-wide manner remained challenging until the recent development of several sequencing-based technologies. However, RRIs generated from large-scale studies had not been systematically collected and analyzed before. This article introduces RISE, a database of the RNA Interactome from Sequencing Experiments. RISE provides a comprehensive collection of RRIs in human, mouse, and yeast, derived from transcriptome-wide sequencing experiments, as well as targeted sequencing studies and other public databases/datasets. To facilitate better understanding of the biological roles of these RRIs, RISE also offers rich functional annotations involving RNAs, and an interactive interface to explore the analysis results. Here, we provide a brief description of the RISE website and a step-by-step protocol for using RISE to study RRIs. © 2018 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.58","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
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Abstract
RNA-RNA interactions (RRIs) are essential to understanding the regulatory mechanisms of RNAs. Mapping RRIs in vivo in a transcriptome-wide manner remained challenging until the recent development of several sequencing-based technologies. However, RRIs generated from large-scale studies had not been systematically collected and analyzed before. This article introduces RISE, a database of the RNA Interactome from Sequencing Experiments. RISE provides a comprehensive collection of RRIs in human, mouse, and yeast, derived from transcriptome-wide sequencing experiments, as well as targeted sequencing studies and other public databases/datasets. To facilitate better understanding of the biological roles of these RRIs, RISE also offers rich functional annotations involving RNAs, and an interactive interface to explore the analysis results. Here, we provide a brief description of the RISE website and a step-by-step protocol for using RISE to study RRIs. © 2018 by John Wiley & Sons, Inc.
利用RISE数据库研究RNA-RNA相互作用
RNA-RNA相互作用(RRIs)对于理解rna的调控机制至关重要。在最近几种基于测序的技术发展之前,以转录组范围的方式在体内绘制RRIs仍然具有挑战性。然而,大规模研究产生的RRIs,在此之前并没有被系统地收集和分析。本文介绍了基于测序实验的RNA相互作用组数据库RISE。RISE提供了人类,小鼠和酵母中RRIs的全面收集,这些RRIs来自转录组测序实验,以及靶向测序研究和其他公共数据库/数据集。为了更好地理解这些RRIs的生物学作用,RISE还提供了丰富的涉及rna的功能注释,以及一个交互式界面来探索分析结果。在这里,我们提供了RISE网站的简要描述和使用RISE研究RRIs的分步协议。©2018 by John Wiley &儿子,Inc。
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