Evidence map›Paper›PMID 30352805›Full record

ArticleGenome research2018

Global transcriptional activity dynamics reveal functional enhancer RNAs.

Yoon Jung Kim, Peng Xie, Lian Cao, Michael Q Zhang, Tae Hoon Kim

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
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  6. Revisiting Epigenetics Fundamentals and Its Biomedical Implications.International journal of molecular sciences · 2024
    Review
  7. Genes & development · 2023
    Article
  8. Enhancer-promoter entanglement explains their transcriptional interdependence.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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  15. Article
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  17. Article
  18. Review
  19. Review
  20. Gene regulation by long non-coding RNAs and its biological functions.Nature reviews. Molecular cell biology · 2021
    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

5 authors at 1 institution in 1 country.

Yoon Jung Kim *Department of Biological Sciences and Center for Systems Biology, University of Texas at Dallas, Richardson, Texas 75080, USA.
Peng Xie *Department of Biological Sciences and Center for Systems Biology, University of Texas at Dallas, Richardson, Texas 75080, USA.
Lian CaoDepartment of Biological Sciences and Center for Systems Biology, University of Texas at Dallas, Richardson, Texas 75080, USA.
Michael Q ZhangDepartment of Biological Sciences and Center for Systems Biology, University of Texas at Dallas, Richardson, Texas 75080, USA.
Tae Hoon KimDepartment of Biological Sciences and Center for Systems Biology, University of Texas at Dallas, Richardson, Texas 75080, USA.ORCID 0000-0003-3950-7557
The University of Texas at Dallas · US

Funding

Cell-based genomic analysis of molecular pathology in Mouse Models of Rett SyndromeR01MH102616 · NIMH · COLD SPRING HARBOR LABORATORY · PI HUANG, Z JOSH · 2014 to 2018
$3.8M
Analysis of Higher Order Chromatin Structures in Normal and Cancer EpigenomesR01CA140485 · NCI · YALE UNIVERSITY · PI KIM, TAE HOON · 2010 to 2014
$1.6M
Nuclear, Genomic and Molecular Regulation of Type I Interferon TranscriptionR21AI107067 · NIAID · YALE UNIVERSITY · PI KIM, TAE HOON · 2013 to 2014
$426k
NCI NIH HHS R01 CA140485NIAID NIH HHS R21 AI107067NIMH NIH HHS R01 MH102616
6 · The paper itself

Abstract

Active enhancers of the human genome generate long noncoding transcripts known as enhancer RNAs (eRNAs). How dynamic transcriptional changes of eRNAs are physically and functionally linked with target gene transcription remains unclear. To investigate the dynamic functional relationships among eRNAs and target promoters, we obtained a dense time series of GRO-seq and ChIP-seq data to generate a time-resolved enhancer activity map of a cell undergoing an innate antiviral immune response. Dynamic changes in eRNA and pre-mRNA transcription activities suggest distinct regulatory roles of enhancers. Using a criterion based on proximity and transcriptional inducibility, we identified 123 highly confident pairs of virus-inducible enhancers and their target genes. These enhancers interact with their target promoters transiently and concurrently at the peak of gene activation. Accordingly, their physical disassociation from the promoters is likely involved in post-induction repression. Functional assessments further establish that these eRNAs are necessary for full induction of the target genes and that a complement of inducible eRNAs functions together to achieve full activation. Lastly, we demonstrate the potential for eRNA-targeted transcriptional reprogramming through targeted reduction of eRNAs for a clinically relevant gene,

Indexed as

Enhancer Elements, GeneticGene Expression ProfilingTranscriptomeApoptosisConserved SequenceCytokinesGene Expression RegulationHost-Pathogen InteractionsHumansTranscriptional ActivationCytokines

Identifiers

PMID30352805
PMCPMC6280751
OpenAlexW2896225205

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.