Evidence map›Paper›PMID 42183351›Full record

ArticleResearch square2026

DNA Mechanical Strain Steers Transcription Factor Recognition.

Ariel Afek, Minyi Yao, Michael O'Hagan, Karn Onoon, Lihee Givon, Shelly Rogotner, Raul Salinas, Raj Nithun, Naama Kessler, Muhammad Jbara and 3 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ariel AfekWeizmann Institute of Science.ORCID 0000-0001-8584-9879
Minyi YaoWeizmann Institute of Science.ORCID 0009-0002-7762-9731
Michael O'HaganWeizmann Institute of Science.
Karn OnoonMahidol University.
Lihee GivonWeizmann Institute of Science.ORCID 0009-0006-3101-2858
Shelly RogotnerWeizmann Institute of Science.
Raul SalinasDuke University School of Medicine.ORCID 0000-0001-9011-683X
Raj NithunTel Aviv University.
Naama KesslerWeizmann Institute of Science.
Muhammad JbaraTel Aviv University.
Orly DymWeizmann Institute of Science.
Tanadet PipatpolkaiNanyang Technological University.ORCID 0000-0001-5396-4784
Maria SchumacherDuke University.ORCID 0000-0002-5264-1120

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Gregory L Hura · 2017 to 2026
$28.6M
Deciphering fundamental biological processes involving protein-nucleic acid interactions at the molecular levelR35GM130290 · NIGMS · DUKE UNIVERSITY · PI Maria Schumacher · 2019 to 2026
$4.9M
A Fast Pixel-Array Pilatus 2M Detector for Automated Macromolecular Crystallography Data CollectionS10OD026941 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ADAMS, PAUL DAVID · 2019 to 2019
$563k
NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R35 GM130290NIH HHS S10 OD026941
6 · The paper itself

Abstract

DNA is not merely a linear code of bases, but a mechanically constrained polymer whose backbone continuity restricts the conformations accessible during protein recognition. Yet, although base-sequence preferences have been extensively mapped across human transcription factor (TF) families, we lack comparable maps of how TFs read backbone continuity and DNA mechanics, leaving these layers of recognition poorly understood. Here we introduce PIC-NIC, a high-throughput platform that uses site-specific backbone nicks to perturb DNA mechanics while preserving base identity and minimizing accompanying chemical changes. Across 15 TFs spanning eight structural families, PIC-NIC reveals a highly position-dependent response to backbone disruption: most positions are permissive, whereas nicking at mechanically sensitive sites can substantially reshape binding. Mechanistic analyses integrating PIC-NIC maps with newly determined TF-DNA structures, structural comparisons, binding kinetics, and molecular simulations show that sensitive positions often coincide with strain-adapted DNA geometries, including Hoogsteen conformations, whose relaxation can enhance binding or rewire sequence specificity. Genomic single-strand breaks and repair maps further suggest that TF retention at nicked DNA may influence local repair-factor accessibility. Together, these findings systematically map DNA backbone mechanics as a position-resolved layer of TF recognition across diverse protein families, showing how this layer can reshape binding specificity and may influence repair-factor accessibility.

Identifiers

PMID42183351
PMCPMC13193136

What Socratic holds

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LicenceCC BY
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 Socratic graph.