Evidence map›Paper›PMID 30689845›Full record

ArticleDatabase : the journal of biological databases and curation2019

EnhancerDB: a resource of transcriptional regulation in the context of enhancers.

Ran Kang, Yiming Zhang, Qingqing Huang, Junhua Meng, Ruofan Ding, Yunjian Chang, Lili Xiong, Zhiyun Guo

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  3. ePerturbDB: enhancer's experimental perturbation database.Database : the journal of biological databases and curation · 2026
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  6. TFTG: A comprehensive database for human transcription factors and their targets.Computational and structural biotechnology journal · 2024
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  8. Review
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  10. The mechanosensitive geneAmerican journal of physiology. Cell physiology · 2024
    Article
  11. Noncanonical functions of microRNAs in the nucleus.Acta biochimica et biophysica Sinica · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 1 institution in 1 country.

Ran KangSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Yiming ZhangSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Qingqing HuangSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Junhua MengSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Ruofan DingSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Yunjian ChangSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Lili XiongSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Zhiyun GuoSchool of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province, P.R. China.
Southwest Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancers can act as cis-regulatory elements to control transcriptional regulation by recruiting DNA-binding transcription factors (TFs) in a tissue-specific manner. Recent studies show that enhancers regulate not only protein-coding genes but also microRNAs (miRNAs), and mutations within the TF binding sites (TFBSs) located on enhancers will cause a variety of diseases such as cancer. However, a comprehensive resource to integrate these regulation elements for revealing transcriptional regulations in the context of enhancers is not currently available. Here, we introduce EnhancerDB, a web-accessible database to provide a resource to browse and search regulatory relationships identified in this study, including 131 054 581 TF-enhancer, 17 059 enhancer-miRNAs, 318 993 enhancer-genes, 4 639 558 TF-miRNAs, 1 059 695 TF-genes, 11 439 394 enhancer-single-nucleotide polymorphisms (SNPs) and 23 334 genes associated with expression quantitative trait loci (eQTL) SNP and expression profile of TF/gene/miRNA across multiple human tissues/cell lines. We also developed a tool that further allows users to define tissue-specific enhancers by setting the threshold score of tissue specificity of enhancers. In addition, links to external resources are also available at EnhancerDB.

Indexed as

Databases, GeneticSoftwareAnimalsDatabase Management SystemsEnhancer Elements, GeneticGene Expression RegulationHumansMiceMicroRNAsTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID30689845
PMCPMC6344666
OpenAlexW2913966972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.