Evidence map›Paper›PMID 40568944›Full record

ArticleNucleic acids research2025

Analysis of natural structures and chemical mapping data reveals local stability compensation in RNA.

Robert L Cornwell-Arquitt, Riley Nigh, Michael T Hathaway, Joseph D Yesselman, David A Hendrix

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Robert L Cornwell-ArquittDepartment of Biochemistry and Biophysics, Oregon State University, Corvallis, OR 97333, United States.
Riley NighDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE 68503, United States.
Michael T HathawayDepartment of Biochemistry and Biophysics, Oregon State University, Corvallis, OR 97333, United States.
Joseph D YesselmanDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE 68503, United States.ORCID 0000-0001-8878-8119
David A HendrixDepartment of Biochemistry and Biophysics, Oregon State University, Corvallis, OR 97333, United States.ORCID 0000-0002-7285-1977

Funding

Next-generation biophysical models for RNA dynamics, ligand binding, and catalysisR35GM147706 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI Joseph Yesselman · 2022 to 2026
$1.9M
Integrative transcriptomics to uncover functional elements and disease-associated variants in RNAR01GM145986 · NIGMS · OREGON STATE UNIVERSITY · PI HENDRIX, DAVID ANTHONY · 2022 to 2025
$1.2M
NIGMS NIH HHS R01 GM145986NIGMS NIH HHS R01GM145986NIGMS NIH HHS R35 GM147706NIGMS NIH HHS R35 MIRA 1R35GM147706
6 · The paper itself

Abstract

RNA molecules adopt complex structures that perform essential biological functions across all forms of life, making them promising candidates for therapeutic applications. However, our ability to design new RNA structures remains limited by an incomplete understanding of their folding principles. While global metrics such as the minimum free energy are widely used, they are at odds with naturally occurring structures and incompatible with established design rules. Here, we introduce local stability compensation (LSC), a principle that RNA folding is governed by the local balance between destabilizing loops and their stabilizing adjacent stems, challenging the focus on global energetic optimization. Analysis of over 100 000 RNA structures revealed that LSC signatures are particularly pronounced in bulges and their adjacent stems, with distinct patterns across different RNA families that align with their biological functions. To validate LSC experimentally, we systematically analyzed thousands of RNA variants using DMS chemical mapping. Our results demonstrate that stem folding, as measured by reactivity, correlates with LSC (R² = 0.458 for hairpin loops) and that instabilities show no significant effect on folding for distal stems. These findings demonstrate that LSC can be a guiding principle for understanding RNA function and for the rational design of custom RNAs.

Indexed as

RNARNA FoldingRNA StabilityNucleic Acid ConformationThermodynamicsRNA

Identifiers

PMID40568944
PMCPMC12199142

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Registered trials

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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.