Evidence map›Paper›PMID 42030070›Full record

ArticleJournal of the American Chemical Society2026

Elucidating HLTF-Mediated DNA Fork Remodeling via Native Mass Spectrometry.

Guan-Ting Lian, Hui Emmanuela Miriam, Yi-An Chen, Yen-Ju Chen, Peter Chi, Hsin-Yung Yen

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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.

Guan-Ting LianInstitute of Biological Chemistry, Academia Sinica, Taipei 115201, Taiwan.
Hui Emmanuela MiriamInstitute of Biological Chemistry, Academia Sinica, Taipei 115201, Taiwan.ORCID 0009-0007-9231-1859
Yi-An ChenInstitute of Biological Chemistry, Academia Sinica, Taipei 115201, Taiwan.
Yen-Ju ChenInstitute of Biochemical Sciences, National Taiwan University, Taipei 106319, Taiwan.
Peter ChiInstitute of Biological Chemistry, Academia Sinica, Taipei 115201, Taiwan.ORCID 0000-0001-9229-8729
Hsin-Yung YenInstitute of Biological Chemistry, Academia Sinica, Taipei 115201, Taiwan.ORCID 0000-0002-6612-3324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Replication fork reversal (RFR) is a crucial DNA damage tolerance mechanism that protects genome stability by remodeling DNA fork structures. The helicase-like transcription factor (HLTF) is one of the key components in the RFR process and is responsible for the conversion of a stalled replication fork into a four-way reversed fork, mediated by its ATPase activity. In contrast to a wealth of biochemical evidence depicting the biological activities of HLTF, very little information is available on how it molecularly and functionally interplays with DNA molecules. In this study, we employed native mass spectrometry (MS) to probe the stoichiometry of HLTF-DNA complexes and to elucidate their functional association with DNA fork remodeling. We revealed that HLTF exists as an inactive monomer with low accessibility to substrate ATP yet retains DNA fork binding activity. Intriguingly, in the presence of a DNA fork, monomeric HLTF forms a hetero protein-DNA complex that enhances its ATP accessibility, suggesting allosteric structural modulation through DNA fork interaction. Using both homologous and heterologous DNA forks, we further uncovered ATP-induced dimerization of HLTF and demonstrated its critical role in triggering the DNA unwinding activity of HLTF and subsequent DNA fork regression. Together, our findings provide unique insight into the molecular processes of a DNA remodeler and underscore the utility of native MS in probing the macro-assembly of protein-DNA complexes.

Indexed as

DNADNA-Binding ProteinsTranscription FactorsAdenosine TriphosphateDNA ReplicationMass SpectrometryAdenosine TriphosphateDNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID42030070
PMCPMC13154178

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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.