Miura Takashi, Maini Philip K
Department of Human Anatomy and Genetics, University of Oxford, South Parks Road, Oxford OX1 3QX, UK.
Bull Math Biol. 2004 Jul;66(4):627-49. doi: 10.1016/j.bulm.2003.09.009.
It has been postulated that fibroblast growth factor (FGF) treatment of cultured limb bud mesenchyme cells reinforces the lateral inhibitory effect, but the cells also show accelerated pattern appearance. In the present study, we analyze how a small change in a specific parameter affects the speed of pattern appearance in a Turing reaction-diffusion system using linear stability analysis. It is shown that the sign of the change in appearance speed is qualitatively decided if the system is under the diffusion-driven instability condition, and this is confirmed by numerical simulations. Numerical simulations also show that a small change in parameter value induced easily detectable differences in the appearance speed of patterns. Analysis of the Gierer-Meinhardt model revealed that a change in a single parameter can explain two effects of FGF on limb mesenchyme cells-reinforcement of lateral inhibition and earlier appearance of pattern. These qualitative properties and easy detectability make this feature a promising tool to elucidate the underlying mechanisms of biological pattern formation where the quantitative parameters are difficult to obtain.
据推测,用成纤维细胞生长因子(FGF)处理培养的肢芽间充质细胞会增强侧向抑制作用,但细胞也会表现出模式出现加速的情况。在本研究中,我们使用线性稳定性分析来分析特定参数的微小变化如何影响图灵反应扩散系统中模式出现的速度。结果表明,如果系统处于扩散驱动的不稳定性条件下,外观速度变化的符号在定性上是确定的,并且这一点通过数值模拟得到了证实。数值模拟还表明,参数值的微小变化会在模式出现速度上引发易于检测到的差异。对Gierer-Meinhardt模型的分析表明,单个参数的变化可以解释FGF对肢体间充质细胞的两种作用——增强侧向抑制和模式的更早出现。这些定性特性和易于检测性使得这一特征成为阐明生物模式形成潜在机制的一个有前景的工具,而在生物模式形成中定量参数很难获得。