Evidence map›Paper›PMID 41705508›Full record

ArticleNucleic acids research2026

TORCphysics: a physical model of DNA-topology-controlled gene expression.

Victor Velasco-Berrelleza, Penn Faulkner Rainford, Aalap Mogre, Craig J Benham, Charles J Dorman, Carsten Kröger, Susan Stepney, Sarah A Harris

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Victor Velasco-BerrellezaSchool of Mathematical and Physical Sciences, University of Sheffield, Hounsfield Road, Sheffield, S3 7RH, United Kingdom.ORCID 0000-0002-4809-6254
Penn Faulkner RainfordDepartment of Computer Science, University of York, York, YO10 5DD, United Kingdom.ORCID 0000-0002-0552-2209
Aalap MogreDepartment of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, College Green, Dublin, D02 PN40, Ireland.ORCID 0000-0003-2410-7008
Craig J BenhamDepartment of Mathematics, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States.ORCID 0009-0005-4610-2402
Charles J DormanDepartment of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, College Green, Dublin, D02 PN40, Ireland.ORCID 0000-0002-6018-9170
Carsten KrögerSchool of Mathematical and Physical Sciences, University of Sheffield, Hounsfield Road, Sheffield, S3 7RH, United Kingdom.ORCID 0000-0003-0461-1530
Susan StepneyDepartment of Computer Science, University of York, York, YO10 5DD, United Kingdom.ORCID 0000-0003-3146-5401
Sarah A HarrisSchool of Mathematical and Physical Sciences, University of Sheffield, Hounsfield Road, Sheffield, S3 7RH, United Kingdom.ORCID 0000-0002-2812-1651

Funding

Biomolecular Simulation at the Life Science Interface EP/T026308/1Biomolecular Simulation at the Life Science Interface EP/T026308/2Engineering and Physical Sciences Research Council EP/V027395/2Science Foundation Ireland 21/EPSRC/3754TORC EP/V027395/1TORC EP/V027395/2
6 · The paper itself

Abstract

DNA superhelicity and transcription are intimately related because changes to DNA topology can influence gene expression and vice versa. Information is transferred through the modulation of local DNA torsional stress, where the expression of one gene may influence the superhelical level of neighbouring genes, either promoting or repressing their expression. In this work, we introduce a one-dimensional physical model that simulates supercoiling-mediated regulation. This TORCphysics model takes as input a genome architecture represented either by a plasmid or chromosomal DNA sequence with ends constrained under specific biological conditions and computes the molecule's output. Our findings demonstrate that the expression profiles of genes are directly influenced by the gene circuit design, including gene location, the positions of topological barriers, promoter sequences, and topoisomerase activity. The novelty that TORCphysics offers is versatility, where users can define distinct activity models for different types of proteins and protein-binding sites. The aim of this research is to establish a flexible framework for developing physical simulations of gene circuits to deepen our comprehension of the intricate mechanisms involved in gene regulation.

Indexed as

DNADNA, SuperhelicalGene Expression RegulationModels, GeneticGene Regulatory NetworksNucleic Acid ConformationPlasmidsPromoter Regions, GeneticTranscription, GeneticDNADNA, Superhelical

Identifiers

PMID41705508
PMCPMC12914363

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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.