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首页> 外文期刊>Biochimica et biophysica acta. Biomembranes >Dynamic membrane structure induces temporal pattern formation
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Dynamic membrane structure induces temporal pattern formation

机译:动态膜结构可诱导时间模式的形成

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The understanding of temporal pattern formation in biological systems is essential for insights into regulatory processes of cells. Concerning this problem, the present work introduces a model to explain the attachment/ detachment cycle of MARCKS and PKC at the cell membrane, which is crucial for signal transduction processes. Our model is novel with regard to its driving mechanism: Structural changes within the membrane fuel an activator-inhibitor based global density oscillation of membrane related proteins. Based on simulated results of our model, phase diagrams were generated to illustrate the interplay of MARCKS and PKC. They predict the oscillatory behavior in the form of the number of peaks, the periodic time, and the damping constant depending on the amounts of MARCKS and PKC, respectively. The investigation of the phase space also revealed an unexpected intermediate state prior to the oscillations for high amounts of MARCKS in the system. The validation of the obtained results was carried out by stability analysis, which also accounts for further enhanced understanding of the studied system. It was shown, that the occurrence of the oscillating behavior is independent of the diffusion and the consumption of the reactants. The diffusion terms in the used reaction-diffusion equations only act as modulating terms and are not required for the oscillation. The hypothesis of our work suggests a new mechanism of temporal pattern formation in biological systems. This mechanism includes a classical activator-inhibitor system, but is based on the modifications of the membrane structure, rather than a reaction-diffusion system.
机译:对生物系统中时间模式形成的理解对于洞悉细胞的调节过程至关重要。关于这个问题,本工作介绍了一个模型来解释MARCKS和PKC在细胞膜上的附着/分离周期,这对于信号转导过程至关重要。就其驱动机理而言,我们的模型是新颖的:膜内的结构变化为基于膜相关蛋白的活化剂-抑制剂的整体密度振荡提供了燃料。根据我们模型的模拟结果,生成了相图来说明MARCKS和PKC的相互作用。他们分别根据MARCKS和PKC的量,以峰值数量,周期时间和阻尼常数的形式预测振荡行为。对相空间的研究还揭示了系统中大量MARCKS振荡之前的意外中间状态。通过稳定性分析对获得的结果进行验证,这也有助于进一步增强对研究系统的理解。结果表明,振荡行为的发生与反应物的扩散和消耗无关。在所使用的反应扩散方程式中的扩散项仅充当调制项,并且对于振荡不是必需的。我们工作的假设提出了生物系统中时间模式形成的新机制。该机制包括经典的活化剂-抑制剂系统,但基于膜结构的修饰,而不是基于反应扩散系统。

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