SEdb: a comprehensive human super-enhancer database. Issue Volume 47:Issue D1(2019) (29th October 2018)

• Record Type: Journal Article
• Authors: Jiang, Yong; Qian, Fengcui; Bai, Xuefeng; Liu, Yuejuan; Wang, Qiuyu; Ai, Bo; Han, Xiaole; Shi, Shanshan; Zhang, Jian; Li, Xuecang; Tang, Zhidong; Pan, Qi; Wang, Yuezhu; Wang, Fan; Li, Chunquan
• Is Part Of: Nucleic acids research. Volume 47:Issue D1(2019)
• Page Start: D235
• Page End: D243
• Publication Date: 2018-10-29
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gky1025
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Super-enhancers are important for controlling and defining the expression of cell-specific genes. With research on human disease and biological processes, human H3K27ac ChIP-seq datasets are accumulating rapidly, creating the urgent need to collect and process these data comprehensively and efficiently. More importantly, many studies showed that super-enhancer-associated single nucleotide polymorphisms (SNPs) and transcription factors (TFs) strongly influence human disease and biological processes. Here, we developed a comprehensive human super-enhancer database (SEdb, http://www.licpathway.net/sedb ) that aimed to provide a large number of available resources on human super-enhancers. The database was annotated with potential functions of super-enhancers in the gene regulation. The current version of SEdb documented a total of 331 601 super-enhancers from 542 samples. Especially, unlike existing super-enhancer databases, we manually curated and classified 410 available H3K27ac samples from >2000 ChIP-seq samples from NCBI GEO/SRA. Furthermore, SEdb provides detailed genetic and epigenetic annotation information on super-enhancers. Information includes common SNPs, motif changes, expression quantitative trait locus (eQTL), risk SNPs, transcription factor binding sites (TFBSs), CRISPR/Cas9 target sites and Dnase I hypersensitivity sites (DHSs) for in-depth analyses of super-enhancers. SEdb will help elucidate super-enhancer-related functions and find potential biological effects.