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Reaction-diffusion models of development with state-dependent chemical diffusion coefficients

机译:具有状态依赖性化学扩散系数的反应扩散模型

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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.
机译:反应扩散模型被广泛用于建模发展过程。当前大多数模型调用恒定的扩散系数。但是,代谢物或信号在组织中的扩散通常很频繁,因此可以合理地质疑这一假设。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,包括在没有物质转运的情况下,邻苯并林信号传导导致信号扩散的模型。我们开发了一种数学形式主义,用于将本地运输法转换为扩散术语。当浓度显着变化的典型长度标度比细胞的尺寸大得多时,此过程适用。我们回顾了以前的发展模型,其中考虑了状态相关扩散系数的可能性。我们还提供了一些新的激励示例。

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