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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 investiga...
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Published in: | PLoS computational biology 2020-08, Vol.16 (8), p.e1008160-e1008160 |
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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. |
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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.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1008160</identifier><identifier>PMID: 32853248</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Applied mathematics ; Biology and Life Sciences ; Cell adhesion & migration ; Cell body ; Cell migration ; Compressing ; Computational fluid dynamics ; Computer applications ; Computer simulation ; Contractility ; Cortex ; Cytoplasm ; Elastic deformation ; Extracellular matrix ; Fluid flow ; Fluid-structure interaction ; Formability ; Hydrodynamics ; Investigations ; Mathematical models ; Mechanical properties ; Mechanics ; Nuclei (cytology) ; Parameters ; Partial differential equations ; Physical Sciences ; Physiological aspects ; Rigidity ; Stiffness ; Viscoelasticity</subject><ispartof>PLoS computational biology, 2020-08, Vol.16 (8), p.e1008160-e1008160</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Maxian et al. 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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.</description><subject>Applied mathematics</subject><subject>Biology and Life Sciences</subject><subject>Cell adhesion & migration</subject><subject>Cell body</subject><subject>Cell migration</subject><subject>Compressing</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Contractility</subject><subject>Cortex</subject><subject>Cytoplasm</subject><subject>Elastic deformation</subject><subject>Extracellular matrix</subject><subject>Fluid flow</subject><subject>Fluid-structure interaction</subject><subject>Formability</subject><subject>Hydrodynamics</subject><subject>Investigations</subject><subject>Mathematical models</subject><subject>Mechanical properties</subject><subject>Mechanics</subject><subject>Nuclei (cytology)</subject><subject>Parameters</subject><subject>Partial 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Alex</au><au>Strychalski, Wanda</au><au>Rao, Christopher V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational estimates of mechanical constraints on cell migration through the extracellular matrix</atitle><jtitle>PLoS computational biology</jtitle><date>2020-08-01</date><risdate>2020</risdate><volume>16</volume><issue>8</issue><spage>e1008160</spage><epage>e1008160</epage><pages>e1008160-e1008160</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>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.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32853248</pmid><doi>10.1371/journal.pcbi.1008160</doi><orcidid>https://orcid.org/0000-0001-5302-2404</orcidid><orcidid>https://orcid.org/0000-0002-4770-1723</orcidid><orcidid>https://orcid.org/0000-0001-6242-4464</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Applied mathematics Biology and Life Sciences Cell adhesion & migration Cell body Cell migration Compressing Computational fluid dynamics Computer applications Computer simulation Contractility Cortex Cytoplasm Elastic deformation Extracellular matrix Fluid flow Fluid-structure interaction Formability Hydrodynamics Investigations Mathematical models Mechanical properties Mechanics Nuclei (cytology) Parameters Partial differential equations Physical Sciences Physiological aspects Rigidity Stiffness Viscoelasticity |
title | Computational estimates of mechanical constraints on cell migration through the extracellular matrix |
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