Javanainen Matti, Martinez-Seara Hector, Metzler Ralf, Vattulainen Ilpo
Laboratory of Physics, Tampere University of Technology , 33101 Tampere, Finland.
Department of Physics, University of Helsinki , 00014 Helsinki, Finland.
J Phys Chem Lett. 2017 Sep 7;8(17):4308-4313. doi: 10.1021/acs.jpclett.7b01758. Epub 2017 Aug 29.
The lateral diffusion of embedded proteins along lipid membranes in protein-poor conditions has been successfully described in terms of the Saffman-Delbrück (SD) model, which predicts that the protein diffusion coefficient D is weakly dependent on its radius R as D ∝ ln(1/R). However, instead of being protein-poor, native cell membranes are extremely crowded with proteins. On the basis of extensive molecular simulations, we here demonstrate that protein crowding of the membrane at physiological levels leads to deviations from the SD relation and to the emergence of a stronger Stokes-like dependence D ∝ 1/R. We propose that this 1/R law mainly arises due to geometrical factors: smaller proteins are able to avoid confinement effects much better than their larger counterparts. The results highlight that the lateral dynamics in the crowded setting found in native membranes is radically different from protein-poor conditions and plays a significant role in formation of functional multiprotein complexes.
在蛋白质含量低的条件下,嵌入蛋白质在脂质膜上的横向扩散已成功地用萨夫曼-德尔布吕克(SD)模型进行了描述,该模型预测蛋白质扩散系数D对其半径R的依赖性较弱,即D ∝ ln(1/R)。然而,天然细胞膜并非蛋白质含量低,而是极其拥挤地布满了蛋白质。基于广泛的分子模拟,我们在此证明,生理水平下膜上的蛋白质拥挤会导致偏离SD关系,并出现更强的类似斯托克斯的依赖性D ∝ 1/R。我们认为这种1/R定律主要是由于几何因素产生的:较小的蛋白质比较大的蛋白质能够更好地避免限制效应。结果突出表明,天然膜中发现的拥挤环境中的横向动力学与蛋白质含量低的条件截然不同,并且在功能性多蛋白复合物的形成中起着重要作用。