Evidence map›Paper›PMID 34117518›Full record

ReviewCellular and molecular life sciences : CMLS2021

Non-coding RNAs in chromatin folding and nuclear organization.

Sergey V Razin, Alexey A Gavrilov

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Protein-Centric Mapping of RNA-DNA Interactions with RedChIP.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
  7. BaRDIC: robust peak calling for RNA-DNA interaction data.NAR genomics and bioinformatics · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Long noncoding RNAGenes & diseases · 2022
    Review
  12. Article
  13. Article
  14. RedChIP identifies noncoding RNAs associated with genomic sites occupied by Polycomb and CTCF proteins.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
  16. Review
  17. 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.

Sergey V RazinInstitute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia. sergey.v.razin@usa.net.ORCID http://orcid.org/0000-0003-1976-8661
Alexey A GavrilovInstitute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia.ORCID http://orcid.org/0000-0001-8444-1994

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2019-1661
6 · The paper itself

Abstract

One of the most intriguing questions facing modern biology concerns how the genome directs the construction of cells, tissues, and whole organisms. It is tempting to suggest that the part of the genome that does not encode proteins contains architectural plans. We are still far from understanding how these plans work at the level of building tissues and the body as a whole. However, the results of recent studies demonstrate that at the cellular level, special non-coding RNAs serve as scaffolds for the construction of various intracellular structures. The term "architectural RNAs" was proposed to designate this subset of non-coding RNAs. In this review, we discuss the role of architectural RNAs in the construction of the cell nucleus and maintenance of the three-dimensional organization of the genome.

Indexed as

GenomeAnimalsCell NucleusChromatinHumansRNA, Long NoncodingChromatinRNA, Long Noncoding3D genomeLiquid condensateNon-coding RNANucleusTranscription

Identifiers

PMID34117518
PMCPMC11072467

What OpenQuestion holds

Textmetadata
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.