高分子拥挤
光漂白后的荧光恢复
细胞质
高分子
细胞内
热扩散率
生物物理学
扩散
荧光相关光谱
多孔介质
化学
共焦显微镜
光漂白
共焦
化学物理
材料科学
质量扩散率
荧光显微镜
菲科尔
排除体积
大分子物质
荧光
活体细胞成像
纳米技术
生物系统
反常扩散
分子扩散
显微镜
作者
Olivier Destrian,N. Moisan,René‐Marc Mège,Benoît Ladoux,Benoît Goyeau,Morgan Chabanon
标识
DOI:10.1073/pnas.2519599123
摘要
Intracellular transport of macromolecules is crucial for the proper functioning of most cellular processes. Although intracellular crowding is known to strongly alter macromolecule mobility, how cytoplasmic structures physically modulate diffusion remains largely unexplored. Here, we investigated the mechanisms by which cytoplasmic crowding controls diffusivity using live-cell experiments and porous media modeling approaches. Confocal microscopy combined with fluorescence recovery after photobleaching and fluorescence correlation spectroscopy measurements revealed an anticorrelation between free-green fluorescent protein diffusivity and the heterogeneous cytoplasmic structure abundance in live mammalian cells. This motivated the development of a multiscale model, where the cytoplasm is treated as a hierarchical porous medium with nanometric and micrometric obstacles. Numerically solving the model allowed us to predict the effective cytoplasmic diffusion coefficient for various obstacle volume fractions, and to identify tortuous and porous hydrodynamic hindrances as key diffusion reduction mechanisms. Comparison with our experimental results highlighted the importance of hydrodynamic interactions between diffusing molecules and nanometric obstacles. Importantly, we found that the effective cytoplasmic diffusivity was not dependent on specific intracellular regions but rather on the local intracellular obstacle volume fraction. Finally, the model was extended to predict the diffusivity of larger macromolecules, showing excellent agreement with literature data for several macromolecules and cell lines. This study provides insights into the physical mechanisms impeding intracellular diffusion, demonstrating the potential of porous media modeling approaches to predict transport mechanisms in dynamic or heterogeneous intracellular structures, as in cell motility, blebbing, and apoptosis.
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