Evidence map›Paper›PMID 38871819›Full record

ReviewExperimental & molecular medicine2024

Molecular insights into regulatory RNAs in the cellular machinery.

Sumin Yang, Sung-Hyun Kim, Eunjeong Yang, Mingon Kang, Jae-Yeol Joo

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Traceless Regulation of Genetic Circuitry.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Virulence Regulation inMicroorganisms · 2025
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Human stem cells with in vivo high plasticity generated by cell-cell communication.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Review
  19. Review
  20. 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.

Sumin Yang *Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea.
Sung-Hyun Kim *Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea.
Eunjeong YangDepartment of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea.
Mingon KangDepartment of Computer Science, University of Nevada, Las Vegas, NV, 89154, USA.
Jae-Yeol JooDepartment of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea. joojy@hanyang.ac.kr.ORCID http://orcid.org/0000-0003-2571-3173

Funding

Ministry of Science, ICT and Future Planning (MSIP) 2022R1A2C1002984National Research Foundation of Korea (NRF) RS-2023-00217123
6 · The paper itself

Abstract

It is apparent that various functional units within the cellular machinery are derived from RNAs. The evolution of sequencing techniques has resulted in significant insights into approaches for transcriptome studies. Organisms utilize RNA to govern cellular systems, and a heterogeneous class of RNAs is involved in regulatory functions. In particular, regulatory RNAs are increasingly recognized to participate in intricately functioning machinery across almost all levels of biological systems. These systems include those mediating chromatin arrangement, transcription, suborganelle stabilization, and posttranscriptional modifications. Any class of RNA exhibiting regulatory activity can be termed a class of regulatory RNA and is typically represented by noncoding RNAs, which constitute a substantial portion of the genome. These RNAs function based on the principle of structural changes through cis and/or trans regulation to facilitate mutual RNA‒RNA, RNA‒DNA, and RNA‒protein interactions. It has not been clearly elucidated whether regulatory RNAs identified through deep sequencing actually function in the anticipated mechanisms. This review addresses the dominant properties of regulatory RNAs at various layers of the cellular machinery and covers regulatory activities, structural dynamics, modifications, associated molecules, and further challenges related to therapeutics and deep learning.

Indexed as

Gene Expression RegulationAnimalsChromatinHumansRNA Processing, Post-TranscriptionalRNA, UntranslatedChromatinRNA, Untranslated

Identifiers

PMID38871819
PMCPMC11263585

What OpenQuestion holds

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LicenceCC BY
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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.