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TcoFBase: a comprehensive database for decoding the regulatory transcription co-factors in human and mouse.
Zhang, Yuexin; Song, Chao; Zhang, Yimeng; Wang, Yuezhu; Feng, Chenchen; Chen, Jiaxin; Wei, Ling; Pan, Qi; Shang, Desi; Zhu, Yanbing; Zhu, Jiang; Fang, Shuangsang; Zhao, Jun; Yang, Yongsan; Zhao, Xilong; Xu, Xiaozheng; Wang, Qiuyu; Guo, Jincheng; Li, Chunquan.
Afiliação
  • Zhang Y; The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
  • Song C; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Zhang Y; The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
  • Wang Y; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Feng C; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Chen J; The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.
  • Wei L; The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
  • Pan Q; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Shang D; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Zhu Y; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Zhu J; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Fang S; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Zhao J; The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
  • Yang Y; School of Computer, University of South China, Hengyang, Hunan 421001, China.
  • Zhao X; The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
  • Xu X; Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China.
  • Wang Q; Experimental and Translational Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Guo J; School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
  • Li C; Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Nucleic Acids Res ; 50(D1): D391-D401, 2022 01 07.
Article em En | MEDLINE | ID: mdl-34718747
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Transcrição Gênica / Software / Bases de Dados Genéticas / Redes Reguladoras de Genes Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Transcrição Gênica / Software / Bases de Dados Genéticas / Redes Reguladoras de Genes Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article