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高密度受体簇对血管内皮生长因子(VEGF)信号传导的影响。

The impact of high density receptor clusters on VEGF signaling.

作者信息

Chen Ye, Short Christopher, Halász Adám M, Edwards Jeremy S

机构信息

Department of Mathematics, West Virginia University.

Department of Mathematics West Virginia University.

出版信息

Electron Proc Theor Comput Sci. 2013;2013:37-52. doi: 10.4204/EPTCS.??.3.

Abstract

Vascular endothelial growth factor (VEGF) signaling is involved in the process of blood vessel development and maintenance. Signaling is initiated by binding of the bivalent VEGF ligand to the membrane-bound receptors (VEGFR), which in turn stimulates receptor dimerization. Herein, we discuss experimental evidence that VEGF receptors localize in caveloae and other regions of the plasma membrane, and for other receptors, it has been shown that receptor clustering has an impact on dimerization and thus also on signaling. Overall, receptor clustering is part of a complex ecosystem of interactions and how receptor clustering impacts dimerization is not well understood. To address these questions, we have formulated the simplest possible model. We have postulated the existence of a single high affinity region in the cell membrane, which acts as a transient trap for receptors. We have defined an ODE model by introducing high- and low-density receptor variables and introduce the corresponding reactions from a realistic model of VEGF signal initiation. Finally, we use the model to investigate the relation between the degree of VEGFR concentration, ligand availability, and signaling. In conclusion, our simulation results provide a deeper understanding of the role of receptor clustering in cell signaling.

摘要

血管内皮生长因子(VEGF)信号传导参与血管发育和维持过程。信号传导由二价VEGF配体与膜结合受体(VEGFR)结合引发,进而刺激受体二聚化。在此,我们讨论了VEGF受体定位于质膜的小窝和其他区域的实验证据,对于其他受体,已表明受体聚集对二聚化有影响,因此也对信号传导有影响。总体而言,受体聚集是复杂相互作用生态系统的一部分,而受体聚集如何影响二聚化尚不清楚。为解决这些问题,我们构建了尽可能简单的模型。我们假设细胞膜中存在一个单一的高亲和力区域,它作为受体的瞬时陷阱。我们通过引入高密度和低密度受体变量定义了一个常微分方程模型,并从VEGF信号起始的实际模型引入相应反应。最后,我们使用该模型研究VEGFR浓度、配体可用性和信号传导之间的关系。总之,我们的模拟结果为受体聚集在细胞信号传导中的作用提供了更深入的理解。

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