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1.
PLoS Comput Biol ; 9(3): e1002944, 2013.
Article in English | MEDLINE | ID: mdl-23505356

ABSTRACT

Modelling the displacement of thousands of cells that move in a collective way is required for the simulation and the theoretical analysis of various biological processes. Here, we tackle this question in the controlled setting where the motion of Madin-Darby Canine Kidney (MDCK) cells in a confluent epithelium is triggered by the unmasking of free surface. We develop a simple model in which cells are described as point particles with a dynamic based on the two premises that, first, cells move in a stochastic manner and, second, tend to adapt their motion to that of their neighbors. Detailed comparison to experimental data show that the model provides a quantitatively accurate description of cell motion in the epithelium bulk at early times. In addition, inclusion of model "leader" cells with modified characteristics, accounts for the digitated shape of the interface which develops over the subsequent hours, providing that leader cells invade free surface more easily than other cells and coordinate their motion with their followers. The previously-described progression of the epithelium border is reproduced by the model and quantitatively explained.


Subject(s)
Cell Movement/physiology , Epithelial Cells/physiology , Epithelium/physiology , Models, Biological , Animals , Computer Simulation , Dogs , Epithelial Cells/cytology , Madin Darby Canine Kidney Cells , Stochastic Processes
2.
Biophys J ; 98(3): 361-70, 2010 Feb 03.
Article in English | MEDLINE | ID: mdl-20141748

ABSTRACT

Collective cell migration is of great significance in many biological processes. The goal of this work is to give a physical model for the dynamics of cell migration during the wound healing response. Experiments demonstrate that an initially uniform cell-culture monolayer expands in a nonuniform manner, developing fingerlike shapes. These fingerlike shapes of the cell culture front are composed of columns of cells that move collectively. We propose a physical model to explain this phenomenon, based on the notion of dynamic instability. In this model, we treat the first layers of cells at the front of the moving cell culture as a continuous one-dimensional membrane (contour), with the usual elasticity of a membrane: curvature and surface-tension. This membrane is active, due to the forces of cellular motility of the cells, and we propose that this motility is related to the local curvature of the culture interface; larger convex curvature correlates with a stronger cellular motility force. This shape-force relation gives rise to a dynamic instability, which we then compare to the patterns observed in the wound healing experiments.


Subject(s)
Cell Movement/physiology , Models, Biological , Algorithms , Cell Count , Cell Physiological Phenomena , Cells, Cultured , Computer Simulation , Elasticity , Humans , Linear Models , Normal Distribution , Wound Healing
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