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A cellular automaton model for the migration of glioma cells

M Aubert1, M Badoual1, S Féreol2, C Christov3 and B Grammaticos1

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We present a study of in vitro cell migration in two dimensions as a first step towards understanding the mechanisms governing the motility of glioma cells. Our study is based on a cellular automaton model which aims at reproducing the kinetics of a lump of glioma cells deposited on a substrate of collagen. The dynamical effects of cell attraction and motion inertia are introduced through adequate automaton rules. We compare the density profiles given by the model to those obtained experimentally. The result of the best fit indicates a substantial cell–cell attraction due to cell–cell communication through gap junctions (or chemotaxis) and negligible inertia effects during migration. Tracking of individual migrating cells indicates highly convoluted cell trajectories.


PACS

87.17.Jj Cell locomotion, chemotaxis

87.18.Ed Cell aggregation

87.17.Ee Growth and division

87.16.Xa Signal transduction and intracellular signaling

87.19.X- Diseases

87.17.Aa Modeling, computer simulation of cell processes

Subjects

Medical physics

Biological physics

Dates

Issue 2 (June 2006)

Received 9 December 2005, accepted for publication 27 March 2006

Published 13 April 2006

 
Cell migration pattern at 48 h, having started from an initial spheroid.


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