| Literature DB >> 30689845 |
Ran Kang1, Yiming Zhang1, Qingqing Huang1, Junhua Meng1, Ruofan Ding1, Yunjian Chang1, Lili Xiong1, Zhiyun Guo1.
Abstract
Enhancers can act as cis-regulatory elements to control transcriptional regulation by recruiting DNA-binding transcription factors (TFs) in a tissue-specific manner. Recent studies show that enhancers regulate not only protein-coding genes but also microRNAs (miRNAs), and mutations within the TF binding sites (TFBSs) located on enhancers will cause a variety of diseases such as cancer. However, a comprehensive resource to integrate these regulation elements for revealing transcriptional regulations in the context of enhancers is not currently available. Here, we introduce EnhancerDB, a web-accessible database to provide a resource to browse and search regulatory relationships identified in this study, including 131 054 581 TF-enhancer, 17 059 enhancer-miRNAs, 318 993 enhancer-genes, 4 639 558 TF-miRNAs, 1 059 695 TF-genes, 11 439 394 enhancer-single-nucleotide polymorphisms (SNPs) and 23 334 genes associated with expression quantitative trait loci (eQTL) SNP and expression profile of TF/gene/miRNA across multiple human tissues/cell lines. We also developed a tool that further allows users to define tissue-specific enhancers by setting the threshold score of tissue specificity of enhancers. In addition, links to external resources are also available at EnhancerDB.Entities:
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Year: 2019 PMID: 30689845 PMCID: PMC6344666 DOI: 10.1093/database/bay141
Source DB: PubMed Journal: Database (Oxford) ISSN: 1758-0463 Impact factor: 3.451