Evidence map›Paper›PMID 29127381›Full record

ArticleScientific reports2017

Probing the mechanical stability of bridged DNA-H-NS protein complexes by single-molecule AFM pulling.

Yan Liang, Ramon A van der Valk, Remus T Dame, Wouter H Roos, Gijs J L Wuite

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Deciphering Sequence-Specific DNA Binding by H-NS Using Molecular Simulation.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Organization of DNA in Mammalian Mitochondria.International journal of molecular sciences · 2019
    Review
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.

Yan LiangFunction Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology; Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China.
Ramon A van der ValkLeiden Institute of Chemistry and Cell Observatory, Leiden University, Leiden, The Netherlands.
Remus T DameDepartment of Physics and Astronomy and LaserLab, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. rtdame@chem.leidenuniv.nl.
Wouter H RoosDepartment of Physics and Astronomy and LaserLab, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Gijs J L WuiteDepartment of Physics and Astronomy and LaserLab, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. g.j.l.wuite@vu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic force microscopy (AFM) has proven to be a powerful tool for the study of DNA-protein interactions due to its ability to image single molecules at the nanoscale. However, the use of AFM in force spectroscopy to study DNA-protein interactions has been limited. Here we developed a high throughput, AFM based, pulling assay to measure the strength and kinetics of protein bridging of DNA molecules. As a model system, we investigated the interactions between DNA and the Histone-like Nucleoid-Structuring protein (H-NS). We confirmed that H-NS both changes DNA rigidity and forms bridges between DNA molecules. This straightforward methodology provides a high-throughput approach with single-molecule resolution which is widely applicable to study cross-substrate interactions such as DNA-bridging proteins.

Indexed as

Microscopy, Atomic ForceDNA, BacterialDNA-Binding ProteinsEscherichia coliEscherichia coli ProteinsFimbriae ProteinsDNA, BacterialDNA-Binding ProteinsEscherichia coli ProteinsFimbriae ProteinsFimG protein, E coli

Identifiers

PMID29127381
PMCPMC5681504

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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.