Laboratoire Interdiscipinaire de Physique, UMR-CNRS 5588, Université Grenoble Alpes and Institut Albert Bonniot, INSERM U1209-CNRS 5309, Grenoble, France.
Phys Rev E. 2017 Dec;96(6-1):062403. doi: 10.1103/PhysRevE.96.062403. Epub 2017 Dec 11.
Nanoscale dynamics with cycles of receptor diffusion and immobilization by cell-external-or-internal factors is a key process in living cell adhesion phenomena at the origin of a plethora of signal transduction pathways. Motivated by modern correlation microscopy approaches, the receptor correlation functions in physical models based on diffusion-influenced reaction is studied. Using analytical and stochastic modeling, this paper focuses on the hybrid regime where diffusion and reaction are not truly separable. The time receptor autocorrelation functions are shown to be indexed by different time scales and their asymptotic expansions are given. Stochastic simulations show that this analysis can be extended to situations with a small number of molecules. It is also demonstrated that this analysis applies when receptor immobilization is coupled to environmental noise.
受细胞外或细胞内因素影响的受体扩散和固定的循环的纳米级动力学是活细胞黏附现象中起源于众多信号转导途径的关键过程。受现代相关显微镜方法的启发，研究了基于扩散影响反应的物理模型中的受体相关函数。本文使用分析和随机建模的方法，主要研究了扩散和反应不是真正可分离的混合状态。结果表明，受体自相关函数可以用不同的时间尺度来标记，并且给出了它们的渐近展开式。随机模拟表明，这种分析可以扩展到分子数量较少的情况。还证明了，当受体固定与环境噪声耦合时，这种分析也适用。
