Kaneko K, Yomo T
Department of Pure and Applied Sciences, University of Tokyo, Komaba, Japan.
Bull Math Biol. 1997 Jan;59(1):139-96. doi: 10.1007/BF02459474.
An isologous diversification theory for cell differentiation is processed, based on simulations of interacting cells with biochemical networks and the cell division process following consumption of some chemicals. According to the simulations of the interaction-based dynamical systems model, the following scenario of the cell differentiation is proposed. (1) Up to some threshold number, divisions bring about almost identical cells with synchronized biochemical oscillations. (2) As the number is increased, the oscillations lose synchrony, leading to groups of cells with different phases of oscillations. (3) Amplitudes of oscillation and averaged chemical compositions start to differ by groups of cells. The differentiated behavior of states is transmitted to daughter cells. (4) Recursivity is formed so that the daughter cells keep the identical chemical character. This "memory" is made possible through the transfer of initial conditions. (5) Successive differentiation proceeds. The mechanism of tumor cell formation, origin of stem cells, anomalous differentiation by transplantations, apoptosis and other features of cell differentiation process are also discussed, with some novel predictions.
基于对具有生化网络的相互作用细胞以及某些化学物质消耗后的细胞分裂过程的模拟，提出了一种细胞分化的同源多样化理论。根据基于相互作用的动态系统模型的模拟，提出了以下细胞分化的情景。（1）在达到某个阈值数量之前，细胞分裂产生几乎相同的细胞，其生化振荡同步。（2）随着数量的增加，振荡失去同步性，导致细胞群具有不同的振荡相位。（3）振荡幅度和平均化学成分开始因细胞群而异。状态的分化行为传递给子细胞。（4）形成递归性，使得子细胞保持相同的化学特征。这种“记忆”通过初始条件的传递成为可能。（5）连续分化进行。还讨论了肿瘤细胞形成的机制、干细胞的起源、移植引起的异常分化、细胞凋亡以及细胞分化过程的其他特征，并给出了一些新颖的预测。
