2008
DOI: 10.1103/physreve.78.061904
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Macroscopic dynamics of biological cells interacting via chemotaxis and direct contact

Abstract: A connection is established between discrete stochastic model describing microscopic motion of fluctuating cells, and macroscopic equations describing dynamics of cellular density. Cells move towards chemical gradient (process called chemotaxis) with their shapes randomly fluctuating. Nonlinear diffusion equation is derived from microscopic dynamics in dimensions one and two using excluded volume approach. Nonlinear diffusion coefficient depends on cellular volume fraction and it is demonstrated to prevent col… Show more

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Cited by 76 publications
(96 citation statements)
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“…This matter is of interest in foreseeing possible stability conditions of biological interfaces. This approach has been considered in the multiscale models [20,21] in which continuous non-linear transport equations have been derived from microscopic cell level properties, tackled by the CPM formalism.…”
Section: Cell-based Models Describing Experimental Datamentioning
confidence: 99%
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“…This matter is of interest in foreseeing possible stability conditions of biological interfaces. This approach has been considered in the multiscale models [20,21] in which continuous non-linear transport equations have been derived from microscopic cell level properties, tackled by the CPM formalism.…”
Section: Cell-based Models Describing Experimental Datamentioning
confidence: 99%
“…Accordingly, the description of these bio-systems comprised cell motility under chemotaxis with randomly fluctuating cell shapes and continuous deterministic equations related to cellular density distributions. In addition, from microscopic dynamics utilizing the excluded volume approach, non-linear diffusion equations with diffusion coefficients depending on cellular volume fraction to prevent the collapse of cellular density were obtained [20]. These versatile models have been applied for interpreting different aspects of cell physiology [20][21][22][23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
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“…Near singularity the Keller-Segel model is not applicable when typical distance between bacteria is about size of bacteria. In that regime modification of the Keller-Segel equation was derived from microscopic stochastic dynamics of bacteria which prevents collapse due to excluded volume constraint (different bacteria cannot occupy the same volume) [22,23,24]. Here however the original Keller-Segel model without regularization is considered.…”
mentioning
confidence: 99%