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细胞质中蛋白质浓度梯度模型。

Model for Protein Concentration Gradients in the Cytoplasm.

作者信息

Lipkow Karen, Odde David J

机构信息

Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK.

出版信息

Cell Mol Bioeng. 2008 Mar 1;1(1):84-92. doi: 10.1007/s12195-008-0008-8.

Abstract

Intracellular protein concentration gradients are generally thought to be unsustainable at steady-state due to diffusion. Here we show how protein concentration gradients can theoretically be sustained indefinitely through a relatively simple mechanism that couples diffusion to a spatially segregated kinase-phosphatase system. Although it is appreciated that such systems can theoretically give rise to phosphostate gradients, it has been assumed that they do not give rise to gradients in the total protein concentration. Here we show that this assumption does not hold if the two forms of protein have different diffusion coefficients. If, for example, the phosphorylated state binds selectively to a second larger protein or protein complex then a steady state gradient in total protein concentration will be created. We illustrate the principle with an analytical solution to the diffusion-reaction problem and by stochastic individual-based simulations using the Smoldyn program. We argue that protein gradients created in this way need to be considered in experiments using fluorescent probes and could in principle encode spatial information in the cytoplasm.

摘要

由于扩散作用,细胞内蛋白质浓度梯度通常被认为在稳态时是无法维持的。在此,我们展示了蛋白质浓度梯度理论上如何通过一种相对简单的机制无限期维持,该机制将扩散与空间上分离的激酶 - 磷酸酶系统相耦合。尽管人们认识到此类系统理论上可产生磷酸化状态梯度,但一直认为它们不会产生总蛋白质浓度的梯度。在此我们表明,如果蛋白质的两种形式具有不同的扩散系数,那么这一假设就不成立。例如,如果磷酸化状态选择性地与另一种更大的蛋白质或蛋白质复合物结合,那么就会产生总蛋白质浓度的稳态梯度。我们通过扩散 - 反应问题的解析解以及使用Smoldyn程序进行的基于个体的随机模拟来说明这一原理。我们认为,在使用荧光探针的实验中需要考虑以这种方式产生的蛋白质梯度,并且原则上它可以在细胞质中编码空间信息。

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