Evidence map›Paper›PMID 41224123›Full record

ArticleNucleic acids research2025

Organisation and dynamics of individual DNA segments in topologically complex genomes.

Saminathan Ramakrishnan, Guglielmo Grillo, Auro Varat Patnaik, Luca Tubiana, Davide Michieletto

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Saminathan RamakrishnanSchool of Physics and Astronomy, University of Edinburgh, Peter Guthrie Tait Road, Edinburgh EH9 3FD, UK.
Guglielmo GrilloPhysics Department, University of Trento, via Sommarive 14, I-38123 Trento, Italy.
Auro Varat PatnaikSchool of Physics and Astronomy, University of Edinburgh, Peter Guthrie Tait Road, Edinburgh EH9 3FD, UK.
Luca TubianaPhysics Department, University of Trento, via Sommarive 14, I-38123 Trento, Italy.ORCID 0000-0002-8767-2429
Davide MichielettoSchool of Physics and Astronomy, University of Edinburgh, Peter Guthrie Tait Road, Edinburgh EH9 3FD, UK.ORCID 0000-0003-2186-6869

Funding

European Research CouncilEuropean Union's Horizon 2020 947918Wellcome Trust 226791
6 · The paper itself

Abstract

Capturing the physical organisation and dynamics of genomic regions is one of the major open challenges in biology. The kinetoplast DNA (kDNA) is a topologically complex genome, made by thousands of DNA (mini and maxi) circles interlinked into a two-dimensional Olympic network. The organisation and dynamics of these DNA circles are poorly understood. In this paper, we show that dCas9 linked to quantum dots (QD) can efficiently label DNA maxicircles and different classes of DNA minicircles in kDNA. We use this method to study the distribution and dynamics of different classes of DNA minicircles within the network. We discover that maxicircles display a preference to localise at the periphery of the network and that they undergo subdiffusive dynamics. By using simulations, we discover that this peripheral localisation of maxicircles may contribute to the bucking of the structure in solution. Finally, by tracking the dynamics of the QDs we can also quantify the effective network stiffness, confirming previous indirect estimations via AFM. Our method could be used more generally to quantify the location, dynamics, and material properties of genomic regions in other complex genomes, such as that of bacteria, and to study their behaviour in the presence of DNA-binding proteins.

Indexed as

DNA, CircularCRISPR-Associated Protein 9DNAGenomeQuantum DotsCRISPR-Associated Protein 9DNADNA, Circular

Identifiers

PMID41224123
PMCPMC12604670

What Socratic holds

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LicenceCC BY
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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 Socratic graph.