Evidence map›Paper›PMID 37875692›Full record

ArticleBiomechanics and modeling in mechanobiology2024

In silico analysis shows that dynamic changes in curvature guide cell migration over long distances.

Ian Manifacier, Gildas Carlin, Dongshu Liu, Maxime Vassaux, Laurent Pieuchot, Valeriy Luchnikov, Karine Anselme, Jean-Louis Milan

Abstract read
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In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. A minimal physical model for curvotaxis driven by curved protein complexes at the cell's leading edge.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

8 authors.

Ian ManifacierAix Marseille Univ, CNRS, ISM, Marseille, France.
Gildas CarlinAix Marseille Univ, CNRS, ISM, Marseille, France.
Dongshu LiuAix Marseille Univ, CNRS, ISM, Marseille, France.
Maxime VassauxUniv Rennes, CNRS, IPR (Institut de Physique de Rennes) - UMR 6251, 35000, Rennes, France.
Laurent PieuchotUniversité de Haute-Alsace, CNRS, IS2M UMR 7361, Mulhouse, 68100, France.
Valeriy LuchnikovUniversité de Haute-Alsace, CNRS, IS2M UMR 7361, Mulhouse, 68100, France.
Karine AnselmeUniversité de Haute-Alsace, CNRS, IS2M UMR 7361, Mulhouse, 68100, France.
Jean-Louis MilanAix Marseille Univ, CNRS, ISM, Marseille, France. jean-louis.milan@univ-amu.fr.

Funding

Agence Nationale de la Recherche ANR-22-CE45-0010
6 · The paper itself

Abstract

In vitro experiments have shown that cell scale curvatures influence cell migration; cells avoid convex hills and settle in concave valleys. However, it is not known whether dynamic changes in curvature can guide cell migration. This study extends a previous in-silico model to explore the effects over time of changing the substrate curvature on cell migration guidance. By simulating a dynamic surface curvature using traveling wave patterns, we investigate the influence of wave height and speed, and find that long-distance cell migration guidance can be achieved on specific wave patterns. We propose a mechanistic explanation of what we call dynamic curvotaxis and highlight those cellular features that may be involved. Our results open a new area of study for understanding cell mobility in dynamic environments, from single-cell in vitro experiments to multi-cellular in vivo mechanisms.

Indexed as

Cell MovementComputer SimulationSurface PropertiesCell migrationContractilityCurvatureCurvotaxisLong-distance cell migrationModelingNucleus

Identifiers

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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.