| URL: | https://chenzxlab.hzau.edu.cn/cenhancer/#/ |
| Full name: | Cancer Enhancer Database |
| Description: | Here, we developed CenhANCER, a comprehensive cancer enhancer database, based on H3K27ac ChIP-Seq datasets of 805 primary cancer tissues and 671 cancer cell lines across 49 cancer types. In total, we identified 29,815,953 typical enhancers and 516,447 super enhancers (SE) for the primary tissues, and 27,213,455 typical enhancers, 461,964 super enhancers for the cell lines. To strengthen the regulatory roles of the super-enhancers, we further integrated expression quantitative trait locus (eQTLs) , and risk SNPs into CenhANCER. We also identified transcription factors, whose binding sites were enriched for enhancers in each sample, which are potential therapeutic targets. |
| Year founded: | 2021 |
| Last update: | |
| Version: | 1.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Huazhong University of Science and Technology |
| Address: | 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. |
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| Country/Region: | China |
| Contact name (PI/Team): | ShanShan Cheng |
| Contact email (PI/Helpdesk): | sscheng@hustedu.cn |
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CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines. [PMID: 37207350]
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/. |