Evidence map›Paper›PMID 27493222›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Kinetic and thermodynamic framework for P4-P6 RNA reveals tertiary motif modularity and modulation of the folding preferred pathway.

Namita Bisaria, Max Greenfeld, Charles Limouse, Dmitri S Pavlichin, Hideo Mabuchi, Daniel Herschlag

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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
1.7field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Rho (bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cooperativity and Allostery in RNA Systems.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  11. The roles of structural dynamics in the cellular functions of RNAs.Nature reviews. Molecular cell biology · 2019
    Review
  12. Article
  13. Article
  14. The Story of RNA Folding, as Told in Epochs.Cold Spring Harbor perspectives in biology · 2018
    Review
  15. Article
  16. Article
  17. Article
  18. Quantitative tests of a reconstitution model for RNA folding thermodynamics and kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  19. 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

6 authors at 1 institution in 1 country.

Namita BisariaDepartment of Biochemistry, Stanford University, Stanford, CA 94305;
Max GreenfeldDepartment of Biochemistry, Stanford University, Stanford, CA 94305; Department of Chemical Engineering, Stanford University, Stanford, CA 94305;
Charles LimouseDepartment of Applied Physics, Stanford University, Stanford, CA 94305;
Dmitri S PavlichinDepartment of Applied Physics, Stanford University, Stanford, CA 94305;
Hideo MabuchiDepartment of Applied Physics, Stanford University, Stanford, CA 94305;
Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, CA 94305; Department of Chemical Engineering, Stanford University, Stanford, CA 94305; Department of Chemistry, Stanford University, Stanford, CA 94305 herschla@stanford.edu.
Stanford University · US

Funding

Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
Graduate Training Program in BiotechnologyT32GM008412 · NIGMS · STANFORD UNIVERSITY · PI COCHRAN, JENNIFER R · 1991 to 2020
$5.5M
NIGMS NIH HHS P01 GM066275NIGMS NIH HHS T32 GM008412
6 · The paper itself

Abstract

The past decade has seen a wealth of 3D structural information about complex structured RNAs and identification of functional intermediates. Nevertheless, developing a complete and predictive understanding of the folding and function of these RNAs in biology will require connection of individual rate and equilibrium constants to structural changes that occur in individual folding steps and further relating these steps to the properties and behavior of isolated, simplified systems. To accomplish these goals we used the considerable structural knowledge of the folded, unfolded, and intermediate states of P4-P6 RNA. We enumerated structural states and possible folding transitions and determined rate and equilibrium constants for the transitions between these states using single-molecule FRET with a series of mutant P4-P6 variants. Comparisons with simplified constructs containing an isolated tertiary contact suggest that a given tertiary interaction has a stereotyped rate for breaking that may help identify structural transitions within complex RNAs and simplify the prediction of folding kinetics and thermodynamics for structured RNAs from their parts. The preferred folding pathway involves initial formation of the proximal tertiary contact. However, this preference was only ∼10 fold and could be reversed by a single point mutation, indicating that a model akin to a protein-folding contact order model will not suffice to describe RNA folding. Instead, our results suggest a strong analogy with a modified RNA diffusion-collision model in which tertiary elements within preformed secondary structures collide, with the success of these collisions dependent on whether the tertiary elements are in their rare binding-competent conformations.

Indexed as

Nucleotide MotifsPoint MutationBase PairingFluorescence Resonance Energy TransferKineticsModels, MolecularRNARNA FoldingSingle Molecule ImagingThermodynamicsRNAfolding pathwayskineticsRNA foldingRNA tertiary motifssingle-molecule FRET

Identifiers

PMID27493222
PMCPMC5003260
OpenAlexW2476178068

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.