Evidence map›Paper›PMID 39789022›Full record

ArticleNature communications2025

Vertex model with internal dissipation enables sustained flows.

Jan Rozman, Kvs Chaithanya, Julia M Yeomans, Rastko Sknepnek

Abstract read
In one paragraph

Article in Nature communications, 2025. 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.

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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

4 authors.

Jan Rozman *Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3112-8114
Kvs Chaithanya *School of Life Sciences, University of Dundee, Dundee, UK.ORCID http://orcid.org/0000-0003-0917-5619
Julia M YeomansRudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford, UK. julia.yeomans@physics.ox.ac.uk.ORCID http://orcid.org/0000-0001-8268-5469
Rastko SknepnekSchool of Life Sciences, University of Dundee, Dundee, UK. r.sknepnek@dundee.ac.uk.ORCID http://orcid.org/0000-0002-0144-9921

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ActBioRCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W023849/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W023946/1
6 · The paper itself

Abstract

Complex tissue flows in epithelia are driven by intra- and inter-cellular processes that generate, maintain, and coordinate mechanical forces. There has been growing evidence that cell shape anisotropy, manifested as nematic order, plays an important role in this process. Here we extend an active nematic vertex model by replacing substrate friction with internal viscous dissipation, dominant in epithelia not supported by a substrate or the extracellular matrix, which are found in many early-stage embryos. When coupled to cell shape anisotropy, the internal viscous dissipation allows for long-range velocity correlations and thus enables the spontaneous emergence of flows with a large degree of spatiotemporal organisation. We demonstrate sustained flow in epithelial sheets confined to a channel, providing a link between the cell-level vertex model of tissue dynamics and continuum active nematics, whose behaviour in a channel is theoretically understood and experimentally realisable. Our findings also show a simple mechanism that could account for collective cell migration correlated over distances large compared to the cell size, as observed during morphogenesis.

Indexed as

Cell MovementModels, BiologicalAnimalsAnisotropyCell ShapeEpithelial CellsEpitheliumExtracellular MatrixMorphogenesisViscosity

Identifiers

PMID39789022
PMCPMC11718050

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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.