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Monte Carlo simulations of protein micropatterning in biomembranes: effects of immobile sticky obstacles

机译:生物膜中蛋白质微图案的蒙特卡洛模拟:不动的粘性障碍物的影响

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摘要

Single molecule trajectories of lipids and proteins can yield valuable information about the nanoscopic organization of the plasma membrane itself. The interpretation of such trajectories, however, is complicated, as the mobility of molecules can be affected by the presence of immobile obstacles, and the transient binding of the tracers to these obstacles. We have previously developed a micropatterning approach that allows for immobilizing a plasma membrane protein and probing the diffusional behavior of a putative interaction partner in living cells. Here, we provide guidelines on how this micropatterning approach can be extended to quantify interaction parameters between plasma membrane constituents in their natural environment. We simulated a patterned membrane system and evaluated the effect of different surface densities of patterned immobile obstacles on the relative mobility as well as the surface density of diffusing tracers. In the case of inert obstacles, the size of the obstacle can be assessed from its surface density at the percolation threshold, which in turn can be extracted from the diffusion behavior of the tracer. For sticky obstacles, two-dimensional dissociation constants can be determined from the tracer diffusion or surface density.
机译:脂质和蛋白质的单分子轨迹可以产生有关质膜本身的纳米组织的有价值的信息。但是,这种轨迹的解释很复杂,因为分子的迁移率会受到固定障碍物的存在以及示踪剂与这些障碍物的短暂结合的影响。我们以前已经开发了一种微模式方法,该方法可以固定质膜蛋白并探测活细胞中假定的相互作用伴侣的扩散行为。在这里,我们提供了有关如何扩展这种微模式方法以量化自然环境中质膜成分之间相互作用参数的指南。我们模拟了带图案的膜系统,并评估了带图案的固定障碍物的不同表面密度对相对迁移率以及扩散示踪剂的表面密度的影响。在惰性障碍物的情况下,可以从渗透阈值处的表面密度评估障碍物的大小,然后从示踪剂的扩散行为中提取障碍物的大小。对于粘性障碍物,可以从示踪剂扩散或表面密度确定二维解离常数。

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