Evidence map›Paper›PMID 26351668›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Topological patterns in two-dimensional gel electrophoresis of DNA knots.

Davide Michieletto, Davide Marenduzzo, Enzo Orlandini

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A parallel algorithm for the computation of the Jones polynomial.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
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  5. Article
  6. A review on nonlinear DNA physics.Royal Society open science · 2020
    Review
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  8. 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

3 authors.

Davide MichielettoDepartment of Physics and Complexity Science, University of Warwick, Coventry CV4 7AL, United Kingdom; d.michieletto@warwick.ac.uk.
Davide MarenduzzoSchool of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom;
Enzo OrlandiniDipartimento di Fisica e Astronomia and Sezione, Istituto Nazionale di Fisica Nucleare, Universitá di Padova, 35131 Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gel electrophoresis is a powerful experimental method to probe the topology of DNA and other biopolymers. Although there is a large body of experimental work that allows us to accurately separate different topoisomers of a molecule, a full theoretical understanding of these experiments has not yet been achieved. Here we show that the mobility of DNA knots depends crucially and subtly on the physical properties of the gel and, in particular, on the presence of dangling ends. The topological interactions between these and DNA molecules can be described in terms of an "entanglement number" and yield a nonmonotonic mobility at moderate fields. Consequently, in 2D electrophoresis, gel bands display a characteristic arc pattern; this turns into a straight line when the density of dangling ends vanishes. We also provide a novel framework to accurately predict the shape of such arcs as a function of molecule length and topological complexity, which may be used to inform future experiments.

Indexed as

Nucleic Acid ConformationAcrylic ResinsAlgorithmsComputer SimulationDNAElectrophoresis, Gel, Two-DimensionalHydrodynamicsModels, ChemicalModels, MolecularAcrylic ResinsDNApolyacrylamide gelsDNA knotsgel electrophoresistopology

Identifiers

PMID26351668
PMCPMC4603474

What OpenQuestion holds

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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.