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Computational estimates of mechanical constraints on cell migration through the extracellular matrix
- Source :
- PLoS Computational Biology, PLoS Computational Biology, Vol 16, Iss 8, p e1008160 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science, 2020.
-
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.<br />Author summary Computational simulations of two different mechanisms of 3D cell migration in an extracellular matrix are presented. One mechanism represents a mesenchymal mode, characterized by finger-like actin protrusions, while the second mode is more amoeboid in that rear contraction of the cortex propels the cell forward. In both mechanisms, the cell generates a thin actin protrusion on the cortex that attaches to an ECM node. The cell is then either pulled (mesenchymal) or pushed (amoeboid) forward. Results show both mechanisms result in successful migration over a range of simulated parameter values as long as the contractile tension of the cortex exceeds either the nuclear stiffness or ECM stiffness, but not necessarily both. However, the distance traveled by the amoeboid migration mode is more robust to changes in parameter values, and is larger than in simulations of the mesenchymal mode. Additionally, cells experience a favorable fluid pressure gradient when migrating in the amoeboid mode, and an adverse fluid pressure gradient in the mesenchymal mode.
- Subjects :
- 0301 basic medicine
Bending
Cell
Physical Chemistry
Stiffness
Extracellular matrix
0302 clinical medicine
Materials Physics
Cell Movement
Biology (General)
Physics
0303 health sciences
Ecology
Viscosity
Classical Mechanics
Cell migration
Deformation
Extracellular Matrix
Cell Motility
Chemistry
medicine.anatomical_structure
Aspect Ratio
Computational Theory and Mathematics
Modeling and Simulation
Physical Sciences
Research Article
Cell type
QH301-705.5
Materials Science
Material Properties
Geometry
Cell Migration
Cellular and Molecular Neuroscience
03 medical and health sciences
Cell cortex
Genetics
medicine
Mechanical Properties
Computer Simulation
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Actin
030304 developmental biology
Damage Mechanics
Nucleoplasm
Mesenchymal stem cell
Biology and Life Sciences
Computational Biology
Cell Biology
Elasticity
030104 developmental biology
Chemical Properties
Cytoplasm
Biophysics
Nucleus
030217 neurology & neurosurgery
Mathematics
Developmental Biology
Subjects
Details
- Language :
- English
- ISSN :
- 15537358 and 1553734X
- Volume :
- 16
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....a2f890969589f7ec61da9028708180c9