CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

This article is free to access.

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/

References Powered by Scopus

Fast gapped-read alignment with Bowtie 2

36294Citations
N/AReaders
Get full text

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

16917Citations
N/AReaders
Get full text

Fastp: An ultra-fast all-in-one FASTQ preprocessor

13790Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Integrative approaches based on genomic techniques in the functional studies on enhancers

4Citations
N/AReaders
Get full text

G-quadruplexes as pivotal components of cis-regulatory elements in the human genome

0Citations
N/AReaders
Get full text

Predicting the Effect of miRNA on Gene Regulation to Foster Translational Multi-Omics Research—A Review on the Role of Super-Enhancers

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Luo, Z. H., Shi, M. W., Zhang, Y., Wang, D. Y., Tong, Y. B., Pan, X. L., & Cheng, S. S. (2023). CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines. Database, 2023. https://doi.org/10.1093/database/baad022

Readers over time

‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

100%

Readers' Discipline

Tooltip

Biochemistry, Genetics and Molecular Bi... 3

60%

Agricultural and Biological Sciences 2

40%

Save time finding and organizing research with Mendeley

Sign up for free
0