Evidence map›Paper›PMID 31740966›Full record

ArticleNucleic acids research2020

EnhancerAtlas 2.0: an updated resource with enhancer annotation in 586 tissue/cell types across nine species.

Tianshun Gao, Jiang Qian

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 269 papers.

0numbers the graph read from it
0cells of the map it votes in
269citing papers in PubMed
13.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

269 citing papers in PubMed, 330 citations in OpenAlex.

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209 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Tianshun GaoThe Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD 21231, USA.
Jiang QianThe Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD 21231, USA.
Johns Hopkins Medicine · USSidney Kimmel Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Databases, Nucleic AcidEnhancer Elements, GeneticAlgorithmsAnimalsComputational BiologyGenomicsHumansModels, TheoreticalMolecular Sequence AnnotationSoftwareSpecies SpecificityUser-Computer InterfaceWeb Browser

Identifiers

PMID31740966
PMCPMC7145677
OpenAlexW2989837622

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.