系统生物学方法:水通道蛋白-2运输的建模。

M. Fröhlich, P. Deen, E. Klipp
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引用次数: 4

摘要

在健康个体中,身体脱水导致垂体释放激素抗利尿激素。加压素通过血液到达肾脏的集管细胞,在那里水通道通道蛋白-2 (AQP2)表达。后叶加压素刺激后叶加压素V2受体后,细胞内含有aqp2的囊泡与集管细胞的顶质膜融合。这就会增加尿液前体对血液的水分再吸收,从而增强体内水分的潴留。利用现有的生物学数据,我们提出了AQP-2在收集管细胞中的运输和调控的数学模型。我们的模型包括抗利尿激素受体,腺苷酸环化酶,蛋白激酶A,以及位于细胞内和膜上的AQP2。为了模拟化学反应,我们采用了基于质量作用动力学的常微分方程(ode)。我们使用已知的蛋白质浓度和时间序列数据来估计模型的动力学参数,并证明了其有效性。通过生成、测试和排序不同版本的模型,我们表明,只要包括重要的调节部分,如抗利尿激素受体内化信号的减少或代表磷酸二酯酶活性的负反馈回路,一些模型版本就可以很好地描述数据。我们进行了时间依赖的敏感性分析,以确定随着时间的推移对cAMP和膜位置AQP2水平影响最大的反应。我们预测了不同抗利尿激素浓度下位于AQP2的膜的时间过程,并将其与新生成的数据进行了比较,并讨论了模型的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systems biology approach: modelling of Aquaporin-2 trafficking.
In healthy individuals, dehydration of the body leads to release of the hormone vasopressin from the pituitary. Via the bloodstream, vasopressin reaches the collecting duct cells in the kidney, where the water channel Aquaporin-2 (AQP2) is expressed. After stimulation of the vasopressin V2 receptor by vasopressin, intracellular AQP2-containing vesicles fuse with the apical plasma membrane of the collecting duct cells. This leads to increased water reabsorption from the pro-urine into the blood and therefore to enhanced retention of water within the body. Using existing biological data we propose a mathematical model of AQP-2 trafficking and regulation in collecting duct cells. Our model includes the vasopressin receptor, adenylate cyclase, protein kinase A, and intracellular as well as membrane located AQP2. To model the chemical reactions we used ordinary differential equations (ODEs) based on mass action kinetics. We employ known protein concentrations and time series data to estimate the kinetic parameters of our model and demonstrate its validity. Through generating, testing and ranking different versions of the model, we show that some model versions can describe the data well as soon as important regulatory parts such as the reduction of the signal by internalization of the vasopressin-receptor or the negative feedback loop representing phosphodiesterase activity are included. We perform time-dependent sensitivity analysis to identify the reactions that have the greatest influence on the cAMP and membrane located AQP2 levels over time. We predict the time courses for membrane located AQP2 at different vasopressin concentrations, compare them with newly generated data and discuss the competencies of the model.
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