Evidence map›Paper›PMID 36049551›Full record

ReviewJournal of molecular biology2022

The promise of cryo-EM to explore RNA structural dynamics.

Steve L Bonilla, Jeffrey S Kieft

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of molecular biology, 2022. 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
5.3field-weighted citation impact, top 3% 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, 62 citations in OpenAlex.

  1. Review
  2. Resolving Sub-Nuclear Architecture from Compartments to Functional Domains.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Application of NMR to Large RNAs.Journal of molecular biology · 2025
    Review
  7. Generative AI for computational chemistry: A roadmap to predicting emergent phenomena.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Molecular insights into de novo small-molecule recognition by an intron RNA structure.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. gRNAde: Geometric Deep Learning for 3D RNA inverse design.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  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

2 authors at 2 institutions in 1 country.

Steve L BonillaDepartment of Biochemistry and Molecular Genetics, Aurora, CO 80045, USA. Electronic address: https://twitter.com/Steve_Bonilla.
Jeffrey S KieftDepartment of Biochemistry and Molecular Genetics, Aurora, CO 80045, USA; RNA BioScience Initiative, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO 80045, USA. Electronic address: Jeffrey.Kieft@cuanschutz.edu.
The Medical Center of Aurora · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Pacific Northwest Center for Cryo-EM - Screening supplementU24GM129547 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI EVANS, JAMES E, GOUAUX, JAMES E · 2018 to 2023
$54.8M
Structure, function, and dynamics of viral RNAs and RNA-containing complexesR35GM118070 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Jeffrey S Kieft · 2016 to 2026
$10.6M
NIGMS NIH HHS R35 GM118070NIGMS NIH HHS U24 GM129547
6 · The paper itself

Abstract

Conformational dynamics are essential to macromolecular function. This is certainly true of RNA, whose ability to undergo programmed conformational dynamics is essential to create and regulate complex biological processes. However, methods to easily and simultaneously interrogate both the structure and conformational dynamics of fully functional RNAs in isolation and in complex with proteins have not historically been available. Due to its ability to image and classify single particles, cryogenic electron microscopy (cryo-EM) has the potential to address this gap and may be particularly amenable to exploring structural dynamics within the three-dimensional folds of biologically active RNAs. We discuss the possibilities and current limitations of applying cryo-EM to simultaneously study RNA structure and conformational dynamics, and present one example that illustrates this (as of yet) not fully realized potential.

Indexed as

Nucleic Acid ConformationRNACryoelectron MicroscopyProteinsProteinsRNACryo-electron microscopyRNA conformational dynamicsRNA cryo-EMRNA foldingRNA structureRNA thermodynamics

Identifiers

PMID36049551
PMCPMC10084733
OpenAlexW4293475236

What OpenQuestion holds

Textmetadata
LicenceTDM
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.