Evidence map›Paper›PMID 26574518›Full record

ReviewRNA (New York, N.Y.)2015

The recruitment of chromatin modifiers by long noncoding RNAs: lessons from PRC2.

Chen Davidovich, Thomas R Cech

Abstract readReview
In one paragraph

Review in RNA (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers.

0numbers the graph read from it
0cells of the map it votes in
193citing 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

193 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Genome research · 2025
    Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Fluorescence imaging of MALAT1 expression using a Cy5.5-labeled antisense oligonucleotide in lung cancer and epidermal carcinoma cells.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  19. Article
  20. Article

133 more citing papers are in PubMed but not listed here.

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.

Chen DavidovichBioFrontiers Institute and Howard Hughes Medical Institute, University of Colorado, Boulder, Colorado 80309, USA.
Thomas R CechBioFrontiers Institute and Howard Hughes Medical Institute, University of Colorado, Boulder, Colorado 80309, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycomb repressive complex-2 (PRC2) is a histone methyltransferase required for epigenetic silencing during development and cancer. Among chromatin modifying factors shown to be recruited and regulated by long noncoding RNAs (lncRNAs), PRC2 is one of the most studied. Mammalian PRC2 binds thousands of RNAs in vivo, and it is becoming a model system for the recruitment of chromatin modifying factors by RNA. Yet, well-defined PRC2-binding motifs within target RNAs have been elusive. From the protein side, PRC2 RNA-binding subunits contain no known RNA-binding domains, complicating functional studies. Here we provide a critical review of existing models for the recruitment of PRC2 to chromatin by RNAs. This discussion may also serve researchers who are studying the recruitment of other chromatin modifiers by lncRNAs.

Indexed as

AnimalsChromatinChromatin Assembly and DisassemblyGene SilencingHistonesHumansPolycomb Repressive Complex 2Protein Processing, Post-TranslationalProtein TransportRNA, Long NoncodingChromatinHistonesPolycomb Repressive Complex 2RNA, Long Noncodingepigenetic silencinghistone modificationlong noncoding RNAsPRC2RNA–protein interaction

Identifiers

PMID26574518
PMCPMC4647455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.