Evidence map›Paper›PMID 35170113›Full record

ReviewCell proliferation2022

Enhancer RNA: What we know and what we can achieve.

Zhenzhen Han, Wei Li

Open access · goldAbstract readReview
In one paragraph

Review in Cell proliferation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
9.4field-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

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

47 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Role of eRNAs in Cardiovascular Diseases.Current cardiology reviews · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Enhancer regulation in cancer: from epigenetics to mArchives of pharmacal research · 2025
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 1 institution in 1 country.

Zhenzhen HanStem Cell and Cancer Center, The First Hospital of Jilin University, Changchun, China.
Wei LiStem Cell and Cancer Center, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-8627-1578
Jilin University · CN

Funding

National Natural Science Foundation of China 81372835National Natural Science Foundation of China 81670143
6 · The paper itself

Abstract

Enhancers are important cis-acting elements that can regulate gene transcription and cell fate alongside promoters. In fact, many human cancers and diseases are associated with the malfunction of enhancers. Recent studies have shown that enhancers can produce enhancer RNAs (eRNAs) by RNA polymerase II. In this review, we discuss eRNA production, characteristics, functions and mechanics. eRNAs can determine chromatin accessibility, histone modification and gene expression by constructing a 'chromatin loop', thereby bringing enhancers to their target gene. eRNA can also be involved in the phase separation with enhancers and other proteins. eRNAs are abundant, and importantly, tissue-specific in tumours, various diseases and stem cells; thus, eRNAs can be a potential target for disease diagnosis and treatment. As eRNA is produced from the active transcription of enhancers and is involved in the regulation of cell fate, its manipulation will influence cell function, and therefore, it can be a new target for biological therapy.

Indexed as

NeoplasmsRNAChromatinEnhancer Elements, GeneticGene Expression RegulationHumansPromoter Regions, GeneticTranscription, GeneticChromatinRNA

Identifiers

PMID35170113
PMCPMC9055912
OpenAlexW4213151014

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.