HeRA: an atlas of enhancer RNAs across human tissues
| Autor: | Lixia Diao, Wei Hong, Yaoming Liu, Wenbo Li, Hang Ruan, Jun Wang, Ying Jing, Leng Han, Zhao Zhang, Shengli Li |
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| Rok vydání: | 2020 |
| Předmět: |
AcademicSubjects/SCI00010
Enhancer RNAs Computational biology Biology Genome 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Databases Genetic Genetics Data Mining Humans Database Issue Gene Regulatory Networks Enhancer Gene 030304 developmental biology Regulation of gene expression Internet 0303 health sciences Gene Expression Profiling Computational Biology RNA Enhancer Elements Genetic Gene Expression Regulation chemistry Organ Specificity RNA Long Noncoding Candidate Disease Gene 030217 neurology & neurosurgery DNA |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| DOI: | 10.1093/nar/gkaa940 |
| Popis: | Enhancer RNA (eRNA) is a type of long non-coding RNA transcribed from DNA enhancer regions. Despite critical roles of eRNA in gene regulation, the expression landscape of eRNAs in normal human tissue remains unexplored. Using numerous samples from the Genotype-Tissue Expression project, we characterized 45 411 detectable eRNAs and identified tens of thousands of associations between eRNAs and traits, including gender, race, and age. We constructed a co-expression network to identify millions of putative eRNA regulators and target genes across different tissues. We further constructed a user-friendly data portal, Human enhancer RNA Atlas (HeRA, https://hanlab.uth.edu/HeRA/). In HeRA, users can search, browse, and download the eRNA expression profile, trait-related eRNAs, and eRNA co-expression network by searching the eRNA ID, gene symbol, and genomic region in one or multiple tissues. HeRA is the first data portal to characterize eRNAs from 9577 samples across 54 human tissues and facilitates functional and mechanistic investigations of eRNAs. |
| Databáze: | OpenAIRE |
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