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:一个便于用户使用的网络资源,用于在……中进行全基因组规模的基因调控探索。

: a user-friendly web resource for genome-scale exploration of gene regulation in .

作者信息

Chen Xiaoting, Ernst Kevin, Soman Frances, Borowczak Mike, Weirauch Matthew T

机构信息

Department of Electrical Engineering and Computing Systems, College of Engineering and Applied Sciences, University of Cincinnati, Cincinnati, OH 45221; Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45229.

Department of Electrical Engineering and Computing Systems, College of Engineering and Applied Sciences, University of Cincinnati, Cincinnati, OH 45221.

出版信息

Curr Plant Biol. 2015 Sep-Dec;3-4:48-55. doi: 10.1016/j.cpb.2015.09.001.

Abstract

The thale cress is a powerful model organism for studying a wide variety of biological processes. Recent advances in sequencing technology have resulted in a wealth of information describing numerous aspects of genome function. However, there is a relative paucity of computational systems for efficiently and effectively using these data to create testable hypotheses. We present , a user-friendly web resource for exploring gene regulatory mechanisms in on a genomic scale. The system incorporates a variety of genome-wide data types relevant to gene regulation, including transcription factor (TF) binding site models, ChIP-seq, DNase-seq, eQTLs, and GWAS. We demonstrate the utility of by showing how the system can be used to (1) Identify TFs binding to the promoter of a gene of interest; (2) identify genetic variants that are likely to impact TF binding based on a ChIP-seq dataset; and (3) identify specific TFs whose binding might be impacted by phenotype-associated variants. is freely available at http://cressint.cchmc.org.

摘要

鼠耳芥是研究多种生物过程的强大模式生物。测序技术的最新进展产生了大量描述基因组功能诸多方面的信息。然而,用于有效利用这些数据以创建可测试假设的计算系统相对较少。我们展示了一个用户友好的网络资源,用于在基因组规模上探索鼠耳芥中的基因调控机制。该系统整合了与基因调控相关的多种全基因组数据类型,包括转录因子(TF)结合位点模型、ChIP-seq、DNase-seq、eQTL和GWAS。我们通过展示该系统如何用于(1)识别与感兴趣基因的启动子结合的转录因子;(2)基于ChIP-seq数据集识别可能影响转录因子结合的遗传变异;以及(3)识别其结合可能受表型相关变异影响的特定转录因子,来证明该系统的实用性。该资源可在http://cressint.cchmc.org免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fa/4740912/8b1f64f347f6/nihms724290f1.jpg

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