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CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines.
Luo, Zhi-Hui; Shi, Meng-Wei; Zhang, Yuan; Wang, Dan-Yang; Tong, Yi-Bo; Pan, Xue-Ling; Cheng, ShanShan.
Afiliação
  • Luo ZH; Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, P.R. China.
  • Shi MW; Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, No. 1, Shizishan Street, Wuhan, Hubei 430070, China.
  • Zhang Y; Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, No. 1, Shizishan Street, Wuhan, Hubei 430070, China.
  • Wang DY; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, 97 Buxin Road, Shenzhen 518000, China.
  • Tong YB; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, 97 Buxin Road, Shenzhen 518000, China.
  • Pan XL; Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, No. 1, Shizishan Street, Wuhan, Hubei 430070, China.
  • Cheng S; Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, No. 1, Shizishan Street, Wuhan, Hubei 430070, China.
Database (Oxford) ; 20232023 05 18.
Article em En | MEDLINE | ID: mdl-37207350
ABSTRACT
Enhancers, which are key tumorigenic factors with wide applications for subtyping, diagnosis and treatment of cancer, are attracting increasing attention in the cancer research. However, systematic analysis of cancer enhancers poses a challenge due to the lack of integrative data resources, especially those from tumor primary tissues. To provide a comprehensive enhancer profile across cancer types, we developed a cancer enhancer database CenhANCER by curating public resources including all the public H3K27ac ChIP-Seq data from 805 primary tissue samples and 671 cell line samples across 41 cancer types. In total, 57 029 408 typical enhancers, 978 411 super-enhancers and 226 726 enriched transcription factors were identified. We annotated the super-enhancers with chromatin accessibility regions, cancer expression quantitative trait loci (eQTLs), genotype-tissue expression eQTLs and genome-wide association study risk single nucleotide polymorphisms (SNPs) for further functional analysis. The identified enhancers were highly consistent with accessible chromatin regions in the corresponding cancer types, and all the 10 super-enhancer regions identified from one colorectal cancer study were recapitulated in our CenhANCER, both of which testified the high quality of our data. CenhANCER with high-quality cancer enhancer candidates and transcription factors that are potential therapeutic targets across multiple cancer types provides a credible resource for single cancer analysis and for comparative studies of various cancer types. Database URL http//cenhancer.chenzxlab.cn/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Database (Oxford) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Database (Oxford) Ano de publicação: 2023 Tipo de documento: Article