| URL: | http://www.enhanceratlas.org/indexv2 |
| Full name: | EnhancerAtlas database |
| Description: | This database provides annotation of enhancers in the human hg19 genome. The enhancers were predicted based on at least three independent high throughput experimental datasets (e.g. histone modification, eRNA, transcription factor binding and DHS). Currently, the database contains 2,534,123 enhancers for 76 cell lines and 29 tissues. The database allows users to (1) examine the experimental evidences for the predicted enhancers in a given genomic region; (2) compare the enhancers across different cell/tissue types; (3) identify the enhancers associated with a gene; (4) predict the genes regulated by a set of cis-regulatory elements. |
| Year founded: | 2020 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
|
| Country/Region: | American Samoa |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | Johns Hopkins University |
| Address: | The Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD 21231, USA. |
| City: | |
| Province/State: | Baltimore |
| Country/Region: | American Samoa |
| Contact name (PI/Team): | Jiang Qian |
| Contact email (PI/Helpdesk): | jiang.qian@jhmi.edu |
|
EnhancerAtlas 2.0: an updated resource with enhancer annotation in 586 tissue/cell types across nine species. [PMID: 31740966]
Enhancers are distal cis-regulatory elements that activate the transcription of their target genes. They regulate a wide range of important biological functions and processes, including embryogenesis, development, and homeostasis. As more and more large-scale technologies were developed for enhancer identification, a comprehensive database is highly desirable for enhancer annotation based on various genome-wide profiling datasets across different species. Here, we present an updated database EnhancerAtlas 2.0 (http://www.enhanceratlas.org/indexv2.php), covering 586 tissue/cell types that include a large number of normal tissues, cancer cell lines, and cells at different development stages across nine species. Overall, the database contains 13 494 603 enhancers, which were obtained from 16 055 datasets using 12 high-throughput experiment methods (e.g. H3K4me1/H3K27ac, DNase-seq/ATAC-seq, P300, POLR2A, CAGE, ChIA-PET, GRO-seq, STARR-seq and MPRA). The updated version is a huge expansion of the first version, which only contains the enhancers in human cells. In addition, we predicted enhancer-target gene relationships in human, mouse and fly. Finally, the users can search enhancers and enhancer-target gene relationships through five user-friendly, interactive modules. We believe the new annotation of enhancers in EnhancerAtlas 2.0 will facilitate users to perform useful functional analysis of enhancers in various genomes. |