Evidence map›Paper›PMID 30780195›Full record

ReviewDevelopment, growth & differentiation2019

Dynamics of transcriptional enhancers and chromosome topology in gene regulation.

Moe Yokoshi, Takashi Fukaya

Abstract readReview
In one paragraph

Review in Development, growth & differentiation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Computational Screening of Phase-separating Proteins.Genomics, proteomics & bioinformatics · 2021
    Review
  9. The 3D Genome as a Target for Anticancer Therapy.Trends in molecular medicine · 2020
    Review
  10. Article
  11. 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

2 authors.

Moe YokoshiInstitute for Quantitative Biosciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Takashi FukayaInstitute for Quantitative Biosciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1478-6860

Funding

Japan Society for the Promotion of Science Grant-in-Aid for Research Activity Start-up/JP18H06040, Grant-in-Aid for Young Scientists B/JP17K17834Ministry of Education, Culture, Sports, Science and Technology (Leading Initiative for Excellent Young Researchers)Mochida Memorial Foundation for Medical and Pharmaceutical Research (Research grant)Molecular Biology Society of Japan (Research grant for young scientists)
6 · The paper itself

Abstract

Transcriptional enhancers are regulatory DNAs that instruct when and where genes should be transcribed in response to a variety of intrinsic and external signals. They contain a cluster of binding sites for sequence-specific transcription factors and co-activators to determine the spatiotemporal specificity of gene activities during development. Enhancers are often positioned in distal locations from their target promoters. In some cases, they work over a million base pairs or more. In the traditional view, enhancers have been thought to stably interact with promoters in a targeted manner. However, quantitative imaging studies provide a far more dynamic picture of enhancer action. Moreover, recent Hi-C methods suggest that regulatory interactions are dynamically regulated by the higher-order chromosome topology. In this review, we summarize the emerging findings in the field and propose that assembly of "transcription hubs" in the context of 3D genome structure plays an important role in transcriptional regulation.

Indexed as

Molecular ConformationAnimalsChromosomesEnhancer Elements, GeneticGene Expression RegulationHumansTranscription, Geneticenhancersphase separationTADstranscriptional burstingtranscription hubs

Identifiers

PMID30780195
PMCPMC6850047

What OpenQuestion holds

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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.