We perform a statistical-mechanical study of the asymptotic behaviors of stochastic cell fate decision between proliferation and differentiation. We propose a model based on a self-replicating Langevin system, where cells choose their fate (i.e. , proliferation or differentiation) , depending on the local cell density. We show that our modelensures tissue homeostasis , which is regarded as URLanized criticality. Furthermore, we numerically demonstrate that the asymptotic clonal analysis exhibits the dynamical crossover of clone size statistics . Our results provide a unified platform for the study of stochastic cell fate decision in terms of nonequilibrium statistical physics .
We study the asymptotic behaviors of stochastic cell fate decision between proliferation and differentiation. We propose a model of a self-replicating Langevin system, where cells choose their fate (i.e. proliferation or differentiation) depending on local cell density. Based on this model, we propose a scenario for URLanisms to maintain the density of cells (i.e., homeostasis) through cell-cell interactions , which is regarded as URLanized criticality. Furthermore, we numerically show that the distribution of the number of descendant cells changes over time, thus unifying the previously proposed two models regarding homeostasis: the critical birth death process and the voter model . Our results provide a general platform for the study of stochastic cell fate decision in terms of nonequilibrium statistical mechanics .
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We show that our modelensures tissue homeostasis
Based on this model, we propose a scenario for URLanisms to maintain the density of cells (i.e., homeostasis) through cell-cell interactions
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demonstrate that the asymptotic clonal analysis exhibits the dynamical crossover of clone size statistics
show that the distribution of the number of descendant cells changes over time, thus unifying the previously proposed two models regarding homeostasis: the critical birth death process and the voter model
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unified
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physics
mechanics