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Computational estimates of mechanical constraints on cell migration through the extracellular matrix
Cell migration through a three-dimensional (3D) extracellular matrix (ECM) underlies important physiological phenomena and is based on a variety of mechanical strategies depending on the cell type and the properties of the ECM. By using computer simulations of the cell’s mid-plane, we investigate tw...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480866/ https://www.ncbi.nlm.nih.gov/pubmed/32853248 http://dx.doi.org/10.1371/journal.pcbi.1008160 |
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author | Maxian, Ondrej Mogilner, Alex Strychalski, Wanda |
author_facet | Maxian, Ondrej Mogilner, Alex Strychalski, Wanda |
author_sort | Maxian, Ondrej |
collection | PubMed |
description | Cell migration through a three-dimensional (3D) extracellular matrix (ECM) underlies important physiological phenomena and is based on a variety of mechanical strategies depending on the cell type and the properties of the ECM. By using computer simulations of the cell’s mid-plane, we investigate two such migration mechanisms—‘push-pull’ (forming a finger-like protrusion, adhering to an ECM node, and pulling the cell body forward) and ‘rear-squeezing’ (pushing the cell body through the ECM by contracting the cell cortex and ECM at the cell rear). We present a computational model that accounts for both elastic deformation and forces of the ECM, an active cell cortex and nucleus, and for hydrodynamic forces and flow of the extracellular fluid, cytoplasm, and nucleoplasm. We find that relations between three mechanical parameters—the cortex’s contractile force, nuclear elasticity, and ECM rigidity—determine the effectiveness of cell migration through the dense ECM. The cell can migrate persistently even if its cortical contraction cannot deform a near-rigid ECM, but then the contraction of the cortex has to be able to sufficiently deform the nucleus. The cell can also migrate even if it fails to deform a stiff nucleus, but then it has to be able to sufficiently deform the ECM. Simulation results show that nuclear stiffness limits the cell migration more than the ECM rigidity. Simulations show the rear-squeezing mechanism of motility results in more robust migration with larger cell displacements than those with the push-pull mechanism over a range of parameter values. Additionally, results show that the rear-squeezing mechanism is aided by hydrodynamics through a pressure gradient. |
format | Online Article Text |
id | pubmed-7480866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74808662020-09-18 Computational estimates of mechanical constraints on cell migration through the extracellular matrix Maxian, Ondrej Mogilner, Alex Strychalski, Wanda PLoS Comput Biol Research Article Cell migration through a three-dimensional (3D) extracellular matrix (ECM) underlies important physiological phenomena and is based on a variety of mechanical strategies depending on the cell type and the properties of the ECM. By using computer simulations of the cell’s mid-plane, we investigate two such migration mechanisms—‘push-pull’ (forming a finger-like protrusion, adhering to an ECM node, and pulling the cell body forward) and ‘rear-squeezing’ (pushing the cell body through the ECM by contracting the cell cortex and ECM at the cell rear). We present a computational model that accounts for both elastic deformation and forces of the ECM, an active cell cortex and nucleus, and for hydrodynamic forces and flow of the extracellular fluid, cytoplasm, and nucleoplasm. We find that relations between three mechanical parameters—the cortex’s contractile force, nuclear elasticity, and ECM rigidity—determine the effectiveness of cell migration through the dense ECM. The cell can migrate persistently even if its cortical contraction cannot deform a near-rigid ECM, but then the contraction of the cortex has to be able to sufficiently deform the nucleus. The cell can also migrate even if it fails to deform a stiff nucleus, but then it has to be able to sufficiently deform the ECM. Simulation results show that nuclear stiffness limits the cell migration more than the ECM rigidity. Simulations show the rear-squeezing mechanism of motility results in more robust migration with larger cell displacements than those with the push-pull mechanism over a range of parameter values. Additionally, results show that the rear-squeezing mechanism is aided by hydrodynamics through a pressure gradient. Public Library of Science 2020-08-27 /pmc/articles/PMC7480866/ /pubmed/32853248 http://dx.doi.org/10.1371/journal.pcbi.1008160 Text en © 2020 Maxian et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Maxian, Ondrej Mogilner, Alex Strychalski, Wanda Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
title | Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
title_full | Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
title_fullStr | Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
title_full_unstemmed | Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
title_short | Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
title_sort | computational estimates of mechanical constraints on cell migration through the extracellular matrix |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480866/ https://www.ncbi.nlm.nih.gov/pubmed/32853248 http://dx.doi.org/10.1371/journal.pcbi.1008160 |
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