Evidence map›Paper›PMID 27664220›Full record

ArticleNucleic acids research2016

Long-range correlations in the mechanics of small DNA circles under topological stress revealed by multi-scale simulation.

Thana Sutthibutpong, Christian Matek, Craig Benham, Gabriel G Slade, Agnes Noy, Charles Laughton, Jonathan P K Doye, Ard A Louis, Sarah A Harris

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

37 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. hexABC seeking the physical code of DNA.Nature communications · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. DNA superhelicity.Nucleic acids research · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. A review on nonlinear DNA physics.Royal Society open science · 2020
    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

9 authors at 7 institutions in 4 countries.

Thana SutthibutpongSchool of Physics and Astronomy, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK.
Christian MatekRudolf Peierls Centre for Theoretical Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK.
Craig BenhamUC Davis Genome Centre, Health Sciences Drive, Davis, CA 95616, USA.
Gabriel G SladeDepartment of Physics, São Paulo State University, Rua Cristovão, São José do Rio Preto, SP 15054-000, Brazil.
Agnes NoyDepartment of Physics, Biological Physical Sciences Institute, University of York, York, YO10 5DD, UK.
Charles LaughtonSchool of Pharmacy and Centre for Biomolecular Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Jonathan P K DoyePhysical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, UK.
Ard A LouisRudolf Peierls Centre for Theoretical Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK.
Sarah A HarrisSchool of Physics and Astronomy, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK s.a.harris@leeds.ac.uk.
University of Oxford · GBKing Mongkut's University of Technology Thonburi · THUniversidade Estadual Paulista (Unesp) · BRUniversity of California, Davis · USUniversity of Leeds · GBUniversity of Nottingham · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well established that gene regulation can be achieved through activator and repressor proteins that bind to DNA and switch particular genes on or off, and that complex metabolic networks determine the levels of transcription of a given gene at a given time. Using three complementary computational techniques to study the sequence-dependence of DNA denaturation within DNA minicircles, we have observed that whenever the ends of the DNA are constrained, information can be transferred over long distances directly by the transmission of mechanical stress through the DNA itself, without any requirement for external signalling factors. Our models combine atomistic molecular dynamics (MD) with coarse-grained simulations and statistical mechanical calculations to span three distinct spatial resolutions and timescale regimes. While they give a consensus view of the non-locality of sequence-dependent denaturation in highly bent and supercoiled DNA loops, each also reveals a unique aspect of long-range informational transfer that occurs as a result of restraining the DNA within the closed loop of the minicircles.

Indexed as

Computer SimulationModels, MolecularNucleic Acid ConformationStress, MechanicalAlgorithmsDNA, CircularDNA, SuperhelicalNucleic Acid DenaturationDNA, CircularDNA, Superhelical

Identifiers

PMID27664220
PMCPMC5100592
OpenAlexW2421469866

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.