Meinhardt H
Differentiation. 1976 Aug 3;6(2):117-23. doi: 10.1111/j.1432-0436.1976.tb01478.x.
Complex linear appearing structures and networks (e.g. blood vessels, leaf veins, nerves) are formed reproducibly during the development of nearly every organism, but the molecular mechanism leading to such patterns is still unknown. A model is proposed in which a few simple coupled biochemical reactions are able to generate such structures. Among undifferentiated cells, a local peak of differentiation-inducing substance (activator) is formed by autocatalysis and lateral inhibition. The activator peak triggers the differentiation of the cell at that location. Due to changes in metabolism, the differentiated cell repels the activator peak and drives it to a neighbouring cell which then also differentiates. The repulsion between the activator peak and the already differentiated cells forces the activator peak to move ahead of the tip of the extending filament. Long filaments of differentiated cells may be formed, which can split, branch laterally, reconnect with each other and grow towards specific target cells. Partial differential equations describing the mutual interaction of the substances involved were presented and solved with a computer. The resulting patterns show self-regulating properties and other features found in the leaf vascular system, the pattern of tracheae in insect epidermis, and other biological networks.
复杂的线性结构和网络(如血管、叶脉、神经)在几乎每种生物体的发育过程中都会重复形成,但导致这种模式的分子机制仍然未知。本文提出了一个模型,其中一些简单的耦合生化反应能够产生这样的结构。在未分化细胞中,通过自催化和侧向抑制形成分化诱导物质(激活剂)的局部峰值。激活剂峰值触发该位置细胞的分化。由于新陈代谢的变化,分化细胞排斥激活剂峰值并将其驱动到相邻细胞,然后该相邻细胞也会分化。激活剂峰值与已分化细胞之间的排斥力迫使激活剂峰值移动到延伸细丝尖端的前方。可能会形成分化细胞的长细丝,这些细丝可以分裂、侧向分支、相互重新连接并向特定靶细胞生长。给出了描述所涉及物质相互作用的偏微分方程并用计算机求解。所得模式显示出自我调节特性以及在叶维管束系统、昆虫表皮气管模式和其他生物网络中发现的其他特征。