Evidence map›Paper›PMID 42639797›Full record

ArticleNucleic acids research2026

Imaging and mechanism of DNA-DNA recognition mediated by divalent ions.

Thomas E Catley, Victor Velasco-Berrelleza, Daniel E Rollins, Alice L B Pyne, Agnes Noy

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Thomas E CatleySchool of Chemical Materials and Biological Engineering, University of Sheffield, Sheffield S1 3JD, UK.ORCID 0000-0002-8919-2701
Victor Velasco-BerrellezaSchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UK.ORCID 0000-0002-4809-6254
Daniel E RollinsSchool of Chemical Materials and Biological Engineering, University of Sheffield, Sheffield S1 3JD, UK.
Alice L B PyneSchool of Chemical Materials and Biological Engineering, University of Sheffield, Sheffield S1 3JD, UK.ORCID 0000-0002-2658-8987
Agnes NoySchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UK.ORCID 0000-0003-0673-8949

Funding

CONACYT agency 291163EPSRC EP/N027639/1EPSRC EP/V027395/1EPSRC EP/Y008693/2UKRI MR/W00738X/1University of York
6 · The paper itself

Abstract

In the cell, DNA must be tightly packed to facilitate its organization into the nucleus, where recognition of homologous sequences underpins key processes such as recombination. Yet the structural basis of DNA-DNA pairing remains unknown. Here, we combine high-resolution atomic force microscopy and atomistic MD simulations to provide the first direct visualization of DNA pairing in the presence of divalent ions. We show that strongly paired DNAs often achieve groove-to-groove alignment, driven by ionic bridges connecting the minor grooves of the two duplexes. These contacts are further stabilized by sequence-specific interactions, whose strength and specificity vary with the ion type. This mechanism of ion-mediated groove alignment provides a molecular framework for the long-hypothesized 'helical alignment' model, in which homologous recognition would be facilitated by preserving structural register between the two helices. Together, our findings reveal a fundamental principle by which divalent ions promote DNA-DNA pairing, with broad implications for chromosomal condensation and genome organization.

Indexed as

Cations, DivalentDNABase PairingMagnesiumMicroscopy, Atomic ForceMolecular Dynamics SimulationNucleic Acid ConformationCations, DivalentDNAMagnesium

Identifiers

PMID42639797
PMCPMC13504290

What OpenQuestion holds

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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.