Evidence map›Paper›PMID 28318487›Full record

ArticleeLife2017

A high-resolution map of transcriptional repression.

Ziwei Liang, Karen E Brown, Thomas Carroll, Benjamin Taylor, Isabel Ferreirós Vidal, Brian Hendrich, David Rueda, Amanda G Fisher, Matthias Merkenschlager

Open access · goldAbstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. IKAROS in Acute Leukemia: A Positive Influencer or a Mean Hater?International journal of molecular sciences · 2023
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Chromatin Remodeling in the Brain-aInternational journal of molecular sciences · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. PAC1-ing up the epigenetic landscape.Nature immunology · 2020
    Article
  19. Review
  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

9 authors at 2 institutions in 1 country.

Ziwei LiangLymphocyte Development Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
Karen E BrownLymphocyte Development Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
Thomas CarrollEpigenetics Section, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
Benjamin TaylorLymphocyte Development Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.ORCID 0000-0001-6101-3786
Isabel Ferreirós VidalLymphocyte Development Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
Brian HendrichWellcome Trust - Medical Research Council Stem Cell Institute, Cambridge, United Kingdom.ORCID 0000-0002-0231-3073
David RuedaSingle Molecule Imaging Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
Amanda G FisherLymphocyte Development Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
Matthias MerkenschlagerLymphocyte Development Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.ORCID 0000-0003-2889-3288
MRC London Institute of Medical Sciences · GBWellcome/MRC Cambridge Stem Cell Institute · GB

Funding

Medical Research Council MC-A652-5PY20Medical Research Council MC_PC_12009Medical Research Council MC_U120027516Medical Research Council MC_UP_1102/5Wellcome TrustWellcome Trust 098021/Z/11/ZWellcome Trust 099276/Z/12/Z
6 · The paper itself

Abstract

Turning genes on and off is essential for development and homeostasis, yet little is known about the sequence and causal role of chromatin state changes during the repression of active genes. This is surprising, as defective gene silencing underlies developmental abnormalities and disease. Here we delineate the sequence and functional contribution of transcriptional repression mechanisms at high temporal resolution. Inducible entry of the NuRD-interacting transcriptional regulator Ikaros into mouse pre-B cell nuclei triggered immediate binding to target gene promoters. Rapid RNAP2 eviction, transcriptional shutdown, nucleosome invasion, and reduced transcriptional activator binding required chromatin remodeling by NuRD-associated Mi2beta/CHD4, but were independent of HDAC activity. Histone deacetylation occurred after transcriptional repression. Nevertheless, HDAC activity contributed to stable gene silencing. Hence, high resolution mapping of transcriptional repression reveals complex and interdependent mechanisms that underpin rapid transitions between transcriptional states, and elucidates the temporal order, functional role and mechanistic separation of NuRD-associated enzymatic activities.

Indexed as

Down-RegulationGene SilencingTranscription, GeneticAnimalsCells, CulturedChromatin Assembly and DisassemblyDNA HelicasesHistone DeacetylasesIkaros Transcription FactorMicePrecursor Cells, B-LymphoidRNA Polymerase IITime FactorsDNA HelicasesHistone DeacetylasesIkaros Transcription FactorMi-2beta protein, mouseRNA Polymerase IIZfpn1a1 protein, mouseB cellchromosomescorepressor complexgenesgene silencingIkarosmousetranscriptional repression

Identifiers

PMID28318487
PMCPMC5373822
OpenAlexW2603493987

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.