A Computational Model of Stem Cell Molecular Mechanism to Maintain Tissue Homeostasis

Abstract

Stem cells, with their capacity to self-renew and to differentiate to more specialized cell types, play a key role to maintain homeostasis in adult tissues. To investigate how, in the dynamic stochastic environment of a tissue, non-genetic diversity and the precise balance between proliferation and differentiation are achieved, it is necessary to understand the molecular mechanisms of the stem cells in decision making process. By focusing on the impact of stochasticity, we proposed a computational model describing the regulatory circuitry as a tri-stable dynamical system to reveal the mechanism which orchestrate this balance. Our model explains how the distribution of noise in genes, linked to the cell regulatory networks, controls cell decision-making to maintain homeostatic state. The noise control over tissue homeostasis is achieved by regulating the probability of differentiation and self-renewal through symmetric and/or asymmetric cell divisions. Our model reveals, when mutations due to the replication of DNA in stem cell division, are inevitable, how mutations contribute to either aging gradually or the development of cancer in a short period of time. Furthermore, our model sheds some light on the impact of more complex regulatory networks on the system robustness against perturbations.

Noise-driven cell differentiation and the emergence of spatiotemporal patterns

“…Replacing the bistable switch with a multi-stable variant might solve this problem [45]. In fact, in a follow-up work by Khorasani, Sadeghi, and Nowzari-Dalini [46], replacing the bistable switch by a tri-stable one was enough to generate irreversible differentiation.…”