A minimal physical model for curvotaxis driven by curved protein complexes at the cell's leading edge.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
19 Mar 2024
Historique:
medline: 18 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: ppublish

Résumé

Cells often migrate on curved surfaces inside the body, such as curved tissues, blood vessels, or highly curved protrusions of other cells. Recent in vitro experiments provide clear evidence that motile cells are affected by the curvature of the substrate on which they migrate, preferring certain curvatures to others, termed "curvotaxis." The origin and underlying mechanism that gives rise to this curvature sensitivity are not well understood. Here, we employ a "minimal cell" model which is composed of a vesicle that contains curved membrane protein complexes, that exert protrusive forces on the membrane (representing the pressure due to actin polymerization). This minimal-cell model gives rise to spontaneous emergence of a motile phenotype, driven by a lamellipodia-like leading edge. By systematically screening the behavior of this model on different types of curved substrates (sinusoidal, cylinder, and tube), we show that minimal ingredients and energy terms capture the experimental data. The model recovers the observed migration on the sinusoidal substrate, where cells move along the grooves (minima), while avoiding motion along the ridges. In addition, the model predicts the tendency of cells to migrate circumferentially on convex substrates and axially on concave ones. Both of these predictions are verified experimentally, on several cell types. Altogether, our results identify the minimization of membrane-substrate adhesion energy and binding energy between the membrane protein complexes as key players of curvotaxis in cell migration.

Identifiants

pubmed: 38489386
doi: 10.1073/pnas.2306818121
doi:

Substances chimiques

Membrane Proteins 0
Actins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2306818121

Subventions

Organisme : Agence Nationale de la Recherche (ANR)
ID : ANR-19-CE11-0002-03
Organisme : Israel Research Foundation
ID : Grant No. 207/22
Organisme : Slovenian Research Agency
ID : Grant No. J3-3066 and J2-4447
Organisme : Marie Curie Individual Fellowship
ID : Project: 846449
Organisme : Initiatives d'exellence
ID : ANR-11-IDEX-0005-02
Organisme : EC | European Research Council (ERC)
ID : Grant No. Adv-101019835
Organisme : Agence Nationale de la Recherche (ANR)
ID : ANR-11-LABX-0071
Organisme : Agence Nationale de la Recherche (ANR)
ID : ANR-19-CE13-0014-01
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : roject-ID No. 318763901-SFB1294
Organisme : FEDER prostem research
ID : Project no. 1510614
Organisme : FRS-FNRS Epiforce
ID : Project no. T.0092.21
Organisme : FRS-FNRS cellsqueezer
ID : Project no. J.0061.23
Organisme : FRS-FNRS optopattern
ID : Project no. U.NO26.22

Déclaration de conflit d'intérêts

Competing interests statement:The authors declare no competing interest.

Auteurs

Raj Kumar Sadhu (RK)

Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot 7610001, Israel.

Marine Luciano (M)

Department of Biochemistry, University of Geneva, Geneva 4 CH-1211, Switzerland.
Mechanobiology & Biomaterials Group, Research Institute for Biosciences, Center of Innovation and Research in Materials and Polymers, University of Mons, Mons B-7000, Belgium.

Wang Xi (W)

Universite Paris Cite, CNRS, Institut Jacques Monod, Paris F-75013, France.

Cristina Martinez-Torres (C)

Institute of Physics and Astronomy, University of Potsdam, Potsdam 14476, Germany.

Marcel Schröder (M)

Department of Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.

Christoph Blum (C)

Department of Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.

Marco Tarantola (M)

Department of Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.

Stefano Villa (S)

Department of Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.

Samo Penič (S)

Laboratory of Physics, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, Slovenia.

Aleš Iglič (A)

Laboratory of Physics, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, Slovenia.

Carsten Beta (C)

Institute of Physics and Astronomy, University of Potsdam, Potsdam 14476, Germany.
Nano Life Science Institute, Kanazawa University, Kanazawa 920-1192, Japan.

Oliver Steinbock (O)

Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306-4390.

Eberhard Bodenschatz (E)

Department of Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.

Benoît Ladoux (B)

Universite Paris Cite, CNRS, Institut Jacques Monod, Paris F-75013, France.

Sylvain Gabriele (S)

Mechanobiology & Biomaterials Group, Research Institute for Biosciences, Center of Innovation and Research in Materials and Polymers, University of Mons, Mons B-7000, Belgium.

Nir S Gov (NS)

Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot 7610001, Israel.

Articles similaires

Pathogenic mitochondrial DNA mutations inhibit melanoma metastasis.

Spencer D Shelton, Sara House, Luiza Martins Nascentes Melo et al.
1.00
DNA, Mitochondrial Humans Melanoma Mutation Neoplasm Metastasis
Cerebrospinal Fluid Animals Liver Glymphatic System Spinal Cord

Kupffer cell reverse migration into the liver sinusoids mitigates neonatal sepsis and meningitis.

Bruna Araujo David, Jawairia Atif, Fernanda Vargas E Silva Castanheira et al.
1.00
Animals Kupffer Cells Mice Liver Cell Movement
Animals Natural Killer T-Cells Mice Adipose Tissue Lipid Metabolism

Classifications MeSH