Evidence map›Paper›PMID 27651454›Full record

ArticleNucleic acids research2016

Structural dynamics control the MicroRNA maturation pathway.

Paul Dallaire, Huiping Tan, Keith Szulwach, Christopher Ma, Peng Jin, François Major

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. RNA therapeutics: current status and future directions.Signal transduction and targeted therapy · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Structure of pre-miR-31 reveals an active role in Dicer-TRBP complex processing.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Pressure pushes tRNAProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Structure of pre-miR-31 reveals an active role in Dicer processing.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. MicroRNAs Responding to Space Radiation.International journal of molecular sciences · 2020
    Review
  18. The roles of structural dynamics in the cellular functions of RNAs.Nature reviews. Molecular cell biology · 2019
    Review
  19. 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

6 authors.

Paul DallaireInstitute for Research in Immunology and Cancer, and Department of Computer Science and Operations Research, Université de Montréal, PO Box 6128, Downtown Station, Montréal, Québec H3C 3J7, Canada.
Huiping TanDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Keith SzulwachDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Christopher MaDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Peng JinDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.
François MajorInstitute for Research in Immunology and Cancer, and Department of Computer Science and Operations Research, Université de Montréal, PO Box 6128, Downtown Station, Montréal, Québec H3C 3J7, Canada Francois.Major@UMontreal.CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are crucial gene expression regulators and first-order suspects in the development and progression of many diseases. Comparative analysis of cancer cell expression data highlights many deregulated miRNAs. Low expression of miR-125a was related to poor breast cancer prognosis. Interestingly, a single nucleotide polymorphism (SNP) in miR-125a was located within a minor allele expressed by breast cancer patients. The SNP is not predicted to affect the ground state structure of the primary transcript or precursor, but neither the precursor nor mature product is detected by RT-qPCR. How this SNP modulates the maturation of miR-125a is poorly understood. Here, building upon a model of RNA dynamics derived from nuclear magnetic resonance studies, we developed a quantitative model enabling the visualization and comparison of networks of transient structures. We observed a high correlation between the distances between networks of variants with that of their respective wild types and their relative degrees of maturation to the latter, suggesting an important role of transient structures in miRNA homeostasis. We classified the human miRNAs according to pairwise distances between their networks of transient structures.

Indexed as

Nucleic Acid ConformationRNA Processing, Post-TranscriptionalTranscription, GeneticBase PairingCell LineHumansMagnetic Resonance SpectroscopyMicroRNAsPolymorphism, Single NucleotideStructure-Activity RelationshipMicroRNAs

Identifiers

PMID27651454
PMCPMC5175353

What OpenQuestion holds

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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.