Zi Zhike, Klipp Edda
Computational Systems Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse. 73, 14195 Berlin, Germany.
FEBS Lett. 2007 Oct 2;581(24):4589-95. doi: 10.1016/j.febslet.2007.08.047. Epub 2007 Aug 31.
Previous work has shown that receptor trafficking is a potential site for the control of signaling pathways. In most biological experiments, the ligand concentration and cell density vary within a wide range among different systems. However, there is less attention to systematically analyze how much cellular signal response is affected by cell densities. Here, we use a quantitative mathematical model to investigate signal responses in different receptor trafficking networks by simultaneous variations of ligand concentration and cell density. Computational analysis of the model revealed that receptor trafficking networks have potential sigmoid responses to ratio between ligand and surface receptor number per cell, which is a key factor to control the signaling responses in receptor trafficking networks. Furthermore, cell density also affects the robustness of dose-response curve upon the variation of binding affinity.
先前的研究表明,受体运输是控制信号通路的一个潜在位点。在大多数生物学实验中,不同系统间的配体浓度和细胞密度在很宽的范围内变化。然而,较少有人关注系统地分析细胞密度对细胞信号反应有多大影响。在此,我们使用一个定量数学模型,通过同时改变配体浓度和细胞密度来研究不同受体运输网络中的信号反应。该模型的计算分析表明,受体运输网络对每个细胞的配体与表面受体数量之比具有潜在的S形反应,这是控制受体运输网络中信号反应的一个关键因素。此外,细胞密度在结合亲和力变化时也会影响剂量反应曲线的稳健性。