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{"title":"Discovering Transcriptional Regulatory Elements From Run-On and Sequencing Data Using the Web-Based dREG Gateway","authors":"Tinyi Chu, Zhong Wang, Shao-Pei Chou, Charles G. Danko","doi":"10.1002/cpbi.70","DOIUrl":null,"url":null,"abstract":"<p>Transcription is a chromatin mark that can be used effectively to identify the location of active enhancers and promoters, collectively known as transcriptional regulatory elements (TREs). We recently introduced dREG, a tool for the identification of TREs using run-on and sequencing (RO-seq) assays, including global run-on and sequencing (GRO-seq), precision run-on and sequencing (PRO-seq), and chromatin run-on and sequencing (ChRO-seq). In this protocol, we present step-by-step instructions for running dREG on an arbitrary run-on and sequencing dataset. Users provide dREG with bigWig files (in which each read is represented by a single base) representing the location of RNA polymerase in a cell or tissue sample of interest, and dREG returns a list of genomic regions that are predicted to be active TREs. Finally, we demonstrate the use of dREG regions in discovering transcription factors controlling response to a stimulus and predicting their target genes. Together, this protocol provides detailed instructions for running dREG on arbitrary run-on and sequencing data. © 2018 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"66 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.70","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.70","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
Transcription is a chromatin mark that can be used effectively to identify the location of active enhancers and promoters, collectively known as transcriptional regulatory elements (TREs). We recently introduced dREG, a tool for the identification of TREs using run-on and sequencing (RO-seq) assays, including global run-on and sequencing (GRO-seq), precision run-on and sequencing (PRO-seq), and chromatin run-on and sequencing (ChRO-seq). In this protocol, we present step-by-step instructions for running dREG on an arbitrary run-on and sequencing dataset. Users provide dREG with bigWig files (in which each read is represented by a single base) representing the location of RNA polymerase in a cell or tissue sample of interest, and dREG returns a list of genomic regions that are predicted to be active TREs. Finally, we demonstrate the use of dREG regions in discovering transcription factors controlling response to a stimulus and predicting their target genes. Together, this protocol provides detailed instructions for running dREG on arbitrary run-on and sequencing data. © 2018 by John Wiley & Sons, Inc.
使用基于web的dREG网关从运行和测序数据中发现转录调控元件
转录是一种染色质标记,可以有效地用于识别活性增强子和启动子的位置,这些增强子和启动子统称为转录调控元件(transcriptional regulatory elements, TREs)。我们最近介绍了dREG,这是一种使用运行和测序(RO-seq)检测来鉴定TREs的工具,包括全局运行和测序(GRO-seq),精确运行和测序(PRO-seq)和染色质运行和测序(cr -seq)。在本协议中,我们提供了在任意运行和排序数据集上运行dREG的分步说明。用户向dREG提供bigWig文件(其中每个读取都由单个碱基表示),表示感兴趣的细胞或组织样本中RNA聚合酶的位置,dREG返回预测为活跃TREs的基因组区域列表。最后,我们展示了dREG区域在发现控制刺激反应的转录因子和预测其靶基因中的应用。总之,该协议提供了在任意运行和测序数据上运行dREG的详细说明。©2018 by John Wiley &儿子,Inc。
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