Evidence map›Paper›PMID 27803152›Full record

ArticleRNA (New York, N.Y.)2017

Direct identification of base-paired RNA nucleotides by correlated chemical probing.

Andrey Krokhotin, Anthony M Mustoe, Kevin M Weeks, Nikolay V Dokholyan

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Ribosome-induced mRNA pseudoknot interactions visualized by DMS MaP-Seq.bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Review
  4. RNA tertiary structure and conformational dynamics revealed by BASH MaP.bioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Thoughts on how to think (and talk) about RNA structure.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Review
  15. Review
  16. Chemical Approaches To Analyzing RNA Structure Transcriptome-Wide.Chembiochem : a European journal of chemical biology · 2021
    Review
  17. Time-Resolved, Single-Molecule, Correlated Chemical Probing of RNA.Journal of the American Chemical Society · 2020
    Article
  18. Review
  19. RNA base-pairing complexity in living cells visualized by correlated chemical probing.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

4 authors.

Andrey KrokhotinDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Anthony M MustoeDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Kevin M WeeksDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Nikolay V DokholyanDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.

Funding

Retroviral Genomic RNA Dimer Structure and FunctionR01GM064803 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2002 to 2016
$3.7M
NIGMS NIH HHS R01 GM064803
6 · The paper itself

Abstract

Many RNA molecules fold into complex secondary and tertiary structures that play critical roles in biological function. Among the best-established methods for examining RNA structure are chemical probing experiments, which can report on local nucleotide structure in a concise and extensible manner. While probing data are highly useful for inferring overall RNA secondary structure, these data do not directly measure through-space base-pairing interactions. We recently introduced an approach for single-molecule correlated chemical probing with dimethyl sulfate (DMS) that measures RNA interaction groups by mutational profiling (RING-MaP). RING-MaP experiments reveal diverse through-space interactions corresponding to both secondary and tertiary structure. Here we develop a framework for using RING-MaP data to directly and robustly identify canonical base pairs in RNA. When applied to three representative RNAs, this framework identified 20%-50% of accepted base pairs with a <10% false discovery rate, allowing detection of 88% of duplexes containing four or more base pairs, including pseudoknotted pairs. We further show that base pairs determined from RING-MaP analysis significantly improve secondary structure modeling. RING-MaP-based correlated chemical probing represents a direct, experimentally concise, and accurate approach for detection of individual base pairs and helices and should greatly facilitate structure modeling for complex RNAs.

Indexed as

AlgorithmsBase PairingModels, MolecularMutationNucleic Acid ConformationNucleotidesRNASoftwareNucleotidesRNAchemical probingDMS reactivitypseudoknotsRNA secondary structurestructure prediction

Identifiers

PMID27803152
PMCPMC5159650

What OpenQuestion holds

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LicenceCC BY-NC
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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.