| Literature DB >> 34718747 |
Yuexin Zhang1,2, Chao Song1,2, Yimeng Zhang2,3, Yuezhu Wang1,2, Chenchen Feng2, Jiaxin Chen2, Ling Wei2, Qi Pan2, Desi Shang1,4,5,6, Yanbing Zhu7, Jiang Zhu2, Shuangsang Fang8, Jun Zhao2, Yongsan Yang2, Xilong Zhao2, Xiaozheng Xu2, Qiuyu Wang1,2,4,5,6, Jincheng Guo8, Chunquan Li1,2,4,5,6.
Abstract
Transcription co-factors (TcoFs) play crucial roles in gene expression regulation by communicating regulatory cues from enhancers to promoters. With the rapid accumulation of TcoF associated chromatin immunoprecipitation sequencing (ChIP-seq) data, the comprehensive collection and integrative analyses of these data are urgently required. Here, we developed the TcoFBase database (http://tcof.liclab.net/TcoFbase), which aimed to document a large number of available resources for mammalian TcoFs and provided annotations and enrichment analyses of TcoFs. TcoFBase curated 2322 TcoFs and 6759 TcoFs associated ChIP-seq data from over 500 tissues/cell types in human and mouse. Importantly, TcoFBase provided detailed and abundant (epi) genetic annotations of ChIP-seq based TcoF binding regions. Furthermore, TcoFBase supported regulatory annotation information and various functional annotations for TcoFs. Meanwhile, TcoFBase embedded five types of TcoF regulatory analyses for users, including TcoF gene set enrichment, TcoF binding genomic region annotation, TcoF regulatory network analysis, TcoF-TF co-occupancy analysis and TcoF regulatory axis analysis. TcoFBase was designed to be a useful resource that will help reveal the potential biological effects of TcoFs and elucidate TcoF-related regulatory mechanisms.Entities:
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Year: 2022 PMID: 34718747 PMCID: PMC8728270 DOI: 10.1093/nar/gkab950
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971