Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo nám. 542/2, 160 00 Prague 6, Czech Republic.
Department of Physics and Astronomy, Wayne State University, 666 W Hancock Street, Detroit, Michigan 48201, USA.
J Chem Phys. 2021 Jul 7;155(1):015102. doi: 10.1063/5.0054973.
Single-particle tracking (SPT) experiments of lipids and membrane proteins provide a wealth of information about the properties of biomembranes. Careful analysis of SPT trajectories can reveal deviations from ideal Brownian behavior. Among others, this includes confinement effects and anomalous diffusion, which are manifestations of both the nanoscale structure of the underlying membrane and the structure of the diffuser. With the rapid increase in temporal and spatial resolution of experimental methods, a new aspect of the motion of the particle, namely, anisotropic diffusion, might become relevant. This aspect that so far received only little attention is the anisotropy of the diffusive motion and may soon provide an additional proxy to the structure and topology of biomembranes. Unfortunately, the theoretical framework for detecting and interpreting anisotropy effects is currently scattered and incomplete. Here, we provide a computational method to evaluate the degree of anisotropy directly from molecular dynamics simulations and also point out a way to compare the obtained results with those available from SPT experiments. In order to probe the effects of anisotropic diffusion, we performed coarse-grained molecular dynamics simulations of peripheral and integral membrane proteins in flat and curved bilayers. In agreement with the theoretical basis, our computational results indicate that anisotropy can persist up to the rotational relaxation time [τ=(2D)], after which isotropic diffusion is observed. Moreover, the underlying topology of the membrane bilayer can couple with the geometry of the particle, thus extending the spatiotemporal domain over which this type of motion can be detected.
单粒子追踪 (SPT) 实验可提供有关生物膜特性的大量信息。对 SPT 轨迹的仔细分析可以揭示出与理想布朗运动的偏差。其中包括限制效应和异常扩散,它们是底层膜的纳米结构和扩散器结构的表现。随着实验方法的时间和空间分辨率的迅速提高,粒子运动的一个新方面,即各向异性扩散,可能变得相关。到目前为止,这个方面只受到了很少的关注,它是扩散运动的各向异性,并且可能很快成为生物膜结构和拓扑的另一个指标。不幸的是,目前用于检测和解释各向异性效应的理论框架是分散和不完整的。在这里,我们提供了一种从分子动力学模拟中直接评估各向异性程度的计算方法,并且还指出了一种将获得的结果与 SPT 实验中可用的结果进行比较的方法。为了探测各向异性扩散的影响,我们在平面和弯曲双层膜中对外周和整合膜蛋白进行了粗粒分子动力学模拟。与理论基础一致,我们的计算结果表明,各向异性可以持续到旋转弛豫时间[τ=(2D)],之后观察到各向同性扩散。此外,膜双层的底层拓扑可以与粒子的几何形状耦合,从而扩展可以检测到这种类型运动的时空域。