Stochastic cellular automata model of neurosphere growth: Roles of proliferative potential, contact inhibition, cell death, and phagocytosis

JOURNAL OF THEORETICAL BIOLOGY

卷:445

Article

Sipahi, Rifat¹  Zupanc, Gunther K. H.² 

[1] Northeastern Univ, Complex Dynam Syst & Control Lab, Dept Mech & Ind Engn, Boston, MA 02115 USA

[2] Northeastern Univ, Dept Biol, Lab Neurobiol, Boston, MA 02115 USA

关键词: Neural stem/progenitor cells;    Neurosphere assay;    Theoretical modeling;    Cellular automata model;    Tissue growth;   

DOI  :  10.1016/j.jtbi.2018.02.025

来源: Elsevier

【 摘 要 】

Neural stem and progenitor cells isolated from the central nervous system form, under specific culture conditions, clonal cell clusters known as neurospheres. The neurosphere assay has proven to be a powerful in vitro system to study the behavior of such cells and the development of their progeny. However, the theory of neurosphere growth has remained poorly understood. To overcome this limitation, we have, in the present paper, developed a cellular automata model, with which we examined the effects of proliferative potential, contact inhibition, cell death, and clearance of dead cells on growth rate, final size, and composition of neurospheres. Simulations based on this model indicated that the proliferative potential of the founder cell and its progenitors has a major influence on neurosphere size. On the other hand, contact inhibition of proliferation limits the final size, and reduces the growth rate, of neurospheres. The effect of this inhibition is particularly dramatic when a stem cell becomes encapsulated by differentiated or other non-proliferating cells, thereby suppressing any further mitotic division despite the existing proliferative potential of the stem cell. Conversely, clearance of dead cells through phagocytosis is predicted to accelerate growth by reducing contact inhibition. A surprising prediction derived from our model is that cell death, while resulting in a decrease in growth rate and final size of neurospheres, increases the degree of differentiation of neurosphere cells. It is likely that the cellular automata model developed as part of the present investigation is applicable to the study of tissue growth in a wide range of systems. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

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