French flag gradients and Turing reaction-diffusion versus differentiation waves as models of morphogenesis
French flag gradients and Turing reaction-diffusion versus differentiation waves as models of morphogenesis
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DOI：
10.1016/j.biosystems.2020.104169
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发表时间：
2020-10-01
期刊：
影响因子：
1.6
通讯作者：
Zou, Yuting
中科院分区：
文献类型：
--
作者：
Gordon, Natalie K.;Chen, Zhan;Zou, Yuting
图灵反应扩散模型和法国国旗模型被发育领域广泛接受为解释胚胎发生的最佳模型。事实上，目前所有理解胚胎细胞分化的尝试都是以这两种模型的某种组合起作用的假设开始和结束的。结果可能会成为胚胎发生中的偏见，假设问题已通过这些基于两种化学物质的模型得到解决。这两种模型的应用都不一致。我们回顾了法国国旗、图灵反应扩散模型和称为分化波/细胞状态分离器模型的机械化学模型之间的差异。细胞骨架细胞状态分裂器和胚胎分化波于 1987 年首次提出，作为胚胎细胞分化的物理和化学组合模型，基于对有尾目两栖动物胚胎的经验观察。我们希望理论的发展能够得到推进，实验学家将能够进行与区分胚胎分化波模型与法国国旗模型和反应扩散方程相关的观察。实验主义者依赖数学生物学家的理论，因此也依赖于他们选择测量和忽略哪些参数。因此，数学生物学家需要充分理解这三种模型之间的区别。
The Turing reaction-diffusion model and the French Flag Model are widely accepted in the field of development as the best models for explaining embryogenesis. Virtually all current attempts to understand cell differentiation in embryos begin and end with the assumption that some combination of these two models works. The result may become a bias in embryogenesis in assuming the problem has been solved by these two-chemical substance-based models. Neither model is applied consistently. We review the differences between the French Flag, Turing reaction-diffusion model, and a mechanochemical model called the differentiation wave/cell state splitter model. The cytoskeletal cell state splitter and the embryonic differentiation waves was first proposed in 1987 as a combined physics and chemistry model for cell differentiation in embryos, based on empirical observations on urodele amphibian embryos. We hope that the development of theory can be advanced and observations relevant to distinguishing the embryonic differentiation wave model from the French Flag model and reaction-diffusion equations will be taken up by experimentalists. Experimentalists rely on mathematical biologists for theory, and therefore depend on them for what parameters they choose to measure and ignore. Therefore, mathematical biologists need to fully understand the distinctions between these three models.