Roussel Catharine J, Roussel Marc R
Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, Alberta T1K 3M4, Canada.
Prog Biophys Mol Biol. 2004 Sep;86(1):113-60. doi: 10.1016/j.pbiomolbio.2004.03.001.
Reaction-diffusion models are widely used to model developmental processes. The great majority of current models invoke constant diffusion coefficients. However, the diffusion of metabolites or signals through tissues is frequently such that this assumption may reasonably be questioned. We consider several different physical mechanisms leading to effective diffusion coefficients in biological tissues which vary with the local conditions, including models in which juxtacrine signaling results in the diffusion of a signal in the absence of material transport. We develop a mathematical formalism for transforming local transport laws into diffusive terms. This procedure is appropriate when the typical length scale over which the concentrations change significantly is much greater than the dimensions of a cell. We review previous developmental models which considered the possibility of state-dependent diffusion coefficients. We also provide a few new motivating examples.
反应扩散模型被广泛用于模拟发育过程。当前的绝大多数模型都采用恒定的扩散系数。然而,代谢物或信号在组织中的扩散情况往往使得这一假设可能受到合理质疑。我们考虑了几种不同的物理机制,这些机制会导致生物组织中的有效扩散系数随局部条件而变化,包括旁分泌信号传导导致信号在无物质运输情况下扩散的模型。我们开发了一种将局部传输定律转化为扩散项的数学形式。当浓度显著变化的典型长度尺度远大于细胞大小时,此过程是合适的。我们回顾了先前考虑状态依赖扩散系数可能性的发育模型。我们还提供了一些新的启发性示例。