Literature DB >> 35157694

Computational modelling of cell motility modes emerging from cell-matrix adhesion dynamics.

Leonie van Steijn1, Inge M N Wortel2, Clément Sire3, Loïc Dupré4,5,6, Guy Theraulaz7,8, Roeland M H Merks1,9.   

Abstract

Lymphocytes have been described to perform different motility patterns such as Brownian random walks, persistent random walks, and Lévy walks. Depending on the conditions, such as confinement or the distribution of target cells, either Brownian or Lévy walks lead to more efficient interaction with the targets. The diversity of these motility patterns may be explained by an adaptive response to the surrounding extracellular matrix (ECM). Indeed, depending on the ECM composition, lymphocytes either display a floating motility without attaching to the ECM, or sliding and stepping motility with respectively continuous or discontinuous attachment to the ECM, or pivoting behaviour with sustained attachment to the ECM. Moreover, on the long term, lymphocytes either perform a persistent random walk or a Brownian-like movement depending on the ECM composition. How the ECM affects cell motility is still incompletely understood. Here, we integrate essential mechanistic details of the lymphocyte-matrix adhesions and lymphocyte intrinsic cytoskeletal induced cell propulsion into a Cellular Potts model (CPM). We show that the combination of de novo cell-matrix adhesion formation, adhesion growth and shrinkage, adhesion rupture, and feedback of adhesions onto cell propulsion recapitulates multiple lymphocyte behaviours, for different lymphocyte subsets and various substrates. With an increasing attachment area and increased adhesion strength, the cells' speed and persistence decreases. Additionally, the model predicts random walks with short-term persistent but long-term subdiffusive properties resulting in a pivoting type of motility. For small adhesion areas, the spatial distribution of adhesions emerges as a key factor influencing cell motility. Small adhesions at the front allow for more persistent motility than larger clusters at the back, despite a similar total adhesion area. In conclusion, we present an integrated framework to simulate the effects of ECM proteins on cell-matrix adhesion dynamics. The model reveals a sufficient set of principles explaining the plasticity of lymphocyte motility.

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Year:  2022        PMID: 35157694      PMCID: PMC8880896          DOI: 10.1371/journal.pcbi.1009156

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  62 in total

1.  Direct observation of catch bonds involving cell-adhesion molecules.

Authors:  Bryan T Marshall; Mian Long; James W Piper; Tadayuki Yago; Rodger P McEver; Cheng Zhu
Journal:  Nature       Date:  2003-05-08       Impact factor: 49.962

2.  Slipping or gripping? Fluorescent speckle microscopy in fish keratocytes reveals two different mechanisms for generating a retrograde flow of actin.

Authors:  Carlos Jurado; John R Haserick; Juliet Lee
Journal:  Mol Biol Cell       Date:  2004-11-17       Impact factor: 4.138

3.  Fractional Brownian motion and motion governed by the fractional Langevin equation in confined geometries.

Authors:  Jae-Hyung Jeon; Ralf Metzler
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-02-01

4.  Cell motility as persistent random motion: theories from experiments.

Authors:  David Selmeczi; Stephan Mosler; Peter H Hagedorn; Niels B Larsen; Henrik Flyvbjerg
Journal:  Biophys J       Date:  2005-06-10       Impact factor: 4.033

5.  Effective adhesion strength of specifically bound vesicles.

Authors:  Ana-Suncana Smith; Udo Seifert
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-06-07

6.  Actin flows mediate a universal coupling between cell speed and cell persistence.

Authors:  Paolo Maiuri; Jean-François Rupprecht; Stefan Wieser; Verena Ruprecht; Olivier Bénichou; Nicolas Carpi; Mathieu Coppey; Simon De Beco; Nir Gov; Carl-Philipp Heisenberg; Carolina Lage Crespo; Franziska Lautenschlaeger; Maël Le Berre; Ana-Maria Lennon-Dumenil; Matthew Raab; Hawa-Racine Thiam; Matthieu Piel; Michael Sixt; Raphaël Voituriez
Journal:  Cell       Date:  2015-03-19       Impact factor: 41.582

7.  Active Brownian particles moving in a random Lorentz gas.

Authors:  Maria Zeitz; Katrin Wolff; Holger Stark
Journal:  Eur Phys J E Soft Matter       Date:  2017-02-28       Impact factor: 1.890

8.  Phenomenological modeling of durotaxis.

Authors:  Guangyuan Yu; Jingchen Feng; Haoran Man; Herbert Levine
Journal:  Phys Rev E       Date:  2017-07-17       Impact factor: 2.529

9.  Artistoo, a library to build, share, and explore simulations of cells and tissues in the web browser.

Authors:  Inge M N Wortel; Johannes Textor
Journal:  Elife       Date:  2021-04-09       Impact factor: 8.140

10.  Intermediate-affinity LFA-1 binds alpha-actinin-1 to control migration at the leading edge of the T cell.

Authors:  Paula Stanley; Andrew Smith; Alison McDowall; Alastair Nicol; Daniel Zicha; Nancy Hogg
Journal:  EMBO J       Date:  2007-12-13       Impact factor: 11.598

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