Computational estimates of mechanical constraints on cell migration through the extracellular matrix
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, 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 cortexs 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 of 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. Author summaryComputational simulations of models representing 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.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The role of actin protrusion dynamics in cell migration through a degradable viscoelastic extracellular matrix: Insights from a computational model
T. Heck, D. Vargas Arango, … H. Van Oosterwyck·bioRxiv·Jul 9, 2019
- Computational model of 3D cell migration based on the molecular clutch mechanism
S. Campbell, R. Zitnay, … T. C. Bidone·bioRxiv·Sep 29, 2021
- Measurement of cellular traction forces during confined migration
Max A. Hockenberry, Andrew J. Ulmer, … Wesley R. Legant·Proceedings of the National Academy of SciencesPeer-reviewed·Nov 25, 2025
- T Cells Tear Apart Confining Extracellular Matrix Via a Breaststroke-like Motion to Generate Migration Paths
Byung Hang Ha, Peter Xie, … Ovijit Chaudhuri·bioRxiv·Oct 3, 2025
- A multiscale theory for mesenchymal cell migration in straight or curved channel confinement
Wenya Shu, C. Nadir Kaplan·Biophysical JournalPeer-reviewed·Jun 24, 2025
- Mechanics-Driven Emergence of Mesenchymal Migration Features
Nicolas Louviaux, Ibrahim Cheddadi, … Arnaud H. Chauviere·Biomechanics and Modeling in MechanobiologyPeer-reviewed·Jun 27, 2026