Evidence map›Paper›PMID 39605336›Full record

ArticlebioRxiv : the preprint server for biology2025

Characterizing 3D RNA structural features from DMS reactivity.

D H Sanduni Deenalattha, Chris P Jurich, Bret Lange, Darren Armstrong, Kaitlyn Nein, Joseph D Yesselman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

D H Sanduni DeenalatthaDepartment of Chemistry, University of Nebraska, 639 North 12 St, Lincoln, NE 68588, USA.
Chris P JurichDepartment of Chemistry, University of Nebraska, 639 North 12 St, Lincoln, NE 68588, USA.
Bret LangeDepartment of Chemistry, University of Nebraska, 639 North 12 St, Lincoln, NE 68588, USA.
Darren ArmstrongDepartment of Chemistry, University of Nebraska, 639 North 12 St, Lincoln, NE 68588, USA.
Kaitlyn NeinDepartment of Chemistry, University of Nebraska, 639 North 12 St, Lincoln, NE 68588, USA.
Joseph D YesselmanDepartment of Chemistry, University of Nebraska, 639 North 12 St, Lincoln, NE 68588, USA.ORCID 0000-0001-8878-8119

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
NIGMS NIH HHS R35 GM147706
6 · The paper itself

Abstract

Dimethyl sulfate (DMS) chemical mapping probes RNA structure, where low reactivity is generally interpreted as Watson-Crick (WC) base pairs and high reactivity as unpaired nucleotides. Studies examining DMS reactivity of RNAs with known 3D structures have identified nucleotides that deviate from this interpretation with distinct solvent accessibility and hydrogen bonding patterns. Understanding the frequency of these outliers and their recurring structural 3D features remains incomplete. To address this knowledge gap, we systematically analyzed DMS reactivity patterns across a library of 7,500 RNA constructs containing two-way junctions with known 3D structures. We observe DMS reactivity exists on a continuum over four orders of magnitude with approximately 10% overlap in reactivity between WC and non-WC nucleotides. We find that non-WC bases with WC-like DMS protection exhibit increased hydrogen bonding and decreased solvent accessibility, whereas WC pairs exhibiting greater DMS reactivity tend to flank junctions, correlating with weaker base stacking and greater junction dynamics. Furthermore, we discover that DMS reactivity values in non-canonical pairs correlate with atomic distances and base pair geometry, enabling discrimination between different 3D conformations. These DMS reactivity patterns indicate that DMS reactivity provides atomic-scale information about RNA 3D conformations, which can be used to model RNA structures and dynamics.

Identifiers

PMID39605336
PMCPMC11601540

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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.