Stochastic collective movement of cells and fingering morphology: no maverick cells.
The classical approach to model collective biological cell movement is through coupled nonlinear reaction-diffusion equations for biological cells and diffusive chemicals that interact with the biological cells. This approach takes into account the diffusion of cells, proliferation, death of cells, and chemotaxis. Whereas the classical approach has many advantages, it fails to consider many factors that affect multicell movement. In this work, a multiscale approach, the Glazier-Graner-Hogeweg model, is used. This model is implemented for biological cells coupled with the finite element method for a diffusive chemical. The Glazier-Graner-Hogeweg model takes the biological cell state as discrete and allows it to include cohesive forces between biological cells, deformation of cells, following the path of a single cell, and stochastic behavior of the cells. Where the continuity of the tissue at the epidermis is violated, biological cells regenerate skin to heal the wound. We assume that the cells secrete a diffusive chemical when they feel a wounded region and that the cells are attracted by the chemical they release (chemotaxis). Under certain parameters, the front encounters a fingering morphology, and two fronts progressing against each other are attracted and correlated. Cell flow exhibits interesting patterns, and a drift effect on the chemical may influence the cells' motion. The effects of a polarized substrate are also discussed.
Ouaknin
Gaddiel Yonathan
GY
Computational Biomechanics Laboratory, Faculty of Mechanical Engineering, Technion, Israel Institute of Technology, Haifa, Israel. gaddy@tx.technion.ac.il
Bar-Yoseph
Pinhas Zvi
PZ
D002450:Cell Communication; D002452:Cell Count; D002465:Cell Movement; D002633:Chemotaxis; D008954:Models, Biological; D013269:Stochastic Processes; D014945:Wound Healing