Zhao Tong, Li Ying, Dinner Aaron R
Department of Chemistry, Department of Physics, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637.
Langmuir. 2009 Feb 3;25(3):1540-6. doi: 10.1021/la8026804.
Understanding how the thermodynamics and kinetics of integrin receptor binding and clustering impact the formation of focal adhesions is important for understanding the mechanisms cells use to sense and respond to physical cues in their environment. Cells on chemically well-defined surfaces were observed to have distributions of focal adhesions shifted toward smaller sizes when presented with higher affinity ligands (Kato, M.; Mrksich, M. Biochemistry 2004, 43, 2699). In this paper, we account for this trend with a simple model in which integrins are treated as particles on a lattice, and their stochastic dynamics are simulated with a kinetic Monte Carlo algorithm. How the trend depends on force-coupled growth, membrane fluctuations, and heterogeneity of receptor-ligand interactions is analyzed. Predictions are made for substrates in which the ligands presented can vary in either space or time, so that the model can be validated experimentally.
了解整合素受体结合与聚集的热力学和动力学如何影响粘着斑的形成,对于理解细胞感知和响应其环境中物理线索的机制至关重要。当接触具有更高亲和力的配体时,观察到在化学定义明确的表面上的细胞,其粘着斑分布向更小尺寸偏移(加藤,M.;姆尔西奇,M.《生物化学》2004年,43卷,2699页)。在本文中,我们用一个简单的模型来解释这种趋势,在该模型中,整合素被视为晶格上的粒子,并使用动力学蒙特卡罗算法模拟其随机动力学。分析了这种趋势如何依赖于力耦合生长、膜波动以及受体-配体相互作用的异质性。对配体在空间或时间上可变的底物进行了预测,以便该模型能够通过实验得到验证。