Evidence map›Paper›PMID 34373334›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

High-throughput dissection of the thermodynamic and conformational properties of a ubiquitous class of RNA tertiary contact motifs.

Steve L Bonilla, Sarah K Denny, John H Shin, Aurora Alvarez-Buylla, William J Greenleaf, Daniel Herschlag

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Massively Parallel Profiling of RNA-targeting CRISPR-Cas13d.bioRxiv : the preprint server for biology · 2023
    Article
  8. Dissecting the energetic architecture within an RNA tertiary structural motif via high-throughput thermodynamic measurements.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. 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.

Steve L BonillaDepartment of Biochemistry, School of Medicine, Stanford University, Stanford, CA 94305.ORCID 0000-0002-6526-7158
Sarah K DennyDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305.
John H ShinDepartment of Biochemistry, School of Medicine, Stanford University, Stanford, CA 94305.
Aurora Alvarez-BuyllaDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305.
William J GreenleafDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305.ORCID 0000-0003-1409-3095
Daniel HerschlagDepartment of Biochemistry, School of Medicine, Stanford University, Stanford, CA 94305; herschla@stanford.edu.ORCID 0000-0002-4685-1973

Funding

Fundamental Studies of RNA Conformational ThermodynamicsR01GM132899 · NIGMS · STANFORD UNIVERSITY · PI AL-HASHIMI, HASHIM M, HERSCHLAG, DANIEL · 2019 to 2022
$2.7M
NIGMS NIH HHS R01 GM132899
6 · The paper itself

Abstract

Despite RNA's diverse secondary and tertiary structures and its complex conformational changes, nature utilizes a limited set of structural "motifs"-helices, junctions, and tertiary contact modules-to build diverse functional RNAs. Thus, in-depth descriptions of a relatively small universe of RNA motifs may lead to predictive models of RNA tertiary conformational landscapes. Motifs may have different properties depending on sequence and secondary structure, giving rise to subclasses that expand the universe of RNA building blocks. Yet we know very little about motif subclasses, given the challenges in mapping conformational properties in high throughput. Previously, we used "RNA on a massively parallel array" (RNA-MaP), a quantitative, high-throughput technique, to study thousands of helices and two-way junctions. Here, we adapt RNA-MaP to study the thermodynamic and conformational properties of tetraloop/tetraloop receptor (TL/TLR) tertiary contact motifs, analyzing 1,493 TLR sequences from different classes. Clustering analyses revealed variability in TL specificity, stability, and conformational behavior. Nevertheless, natural GAAA/11ntR TL/TLRs, while varying in tertiary stability by ∼2.5 kcal/mol, exhibited conserved TL specificity and conformational properties. Thus, RNAs may tune stability without altering the overall structure of these TL/TLRs. Furthermore, their stability correlated with natural frequency, suggesting thermodynamics as the dominant selection pressure. In contrast, other TL/TLRs displayed heterogenous conformational behavior and appear to not be under strong thermodynamic selection. Our results build toward a generalizable model of RNA-folding thermodynamics based on the properties of isolated motifs, and our characterized TL/TLR library can be used to engineer RNAs with predictable thermodynamic and conformational behavior.

Indexed as

Nucleic Acid ConformationModels, MolecularRNAThermodynamicsRNAhigh-throughput biochemistryRNA foldingRNA nanotechnologyRNA structuretertiary motifs

Identifiers

PMID34373334
PMCPMC8379967

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.