Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California Irvine, Irvine, California, United States of America.
PLoS One. 2010 May 3;5(5):e10475. doi: 10.1371/journal.pone.0010475.
Nuclear pore complexes (NPCs) mediate bidirectional transport of proteins, RNAs, and ribonucleoproteins across the double-membrane nuclear envelope. Although there are many studies that look at the traffic in the nucleus and through the nuclear envelope we propose a method to detect the nucleocytoplasmic transport kinetics in an unperturbed cell, with no requirement for specific labeling of isolated molecules and, most important, in the presence of the cell milieu.
The pair correlation function method (pCF) measures the time a molecule takes to migrate from one location to another within the cell in the presence of many molecules of the same kind. The spatial and temporal correlation among two arbitrary points in the cell provides a local map of molecular transport, and also highlights the presence of barriers to diffusion with millisecond time resolution and spatial resolution limited by diffraction. We use the pair correlation method to monitor a model protein substrate undergoing transport through NPCs in living cells, a biological problem in which single particle tracking (SPT) has given results that cannot be confirmed by traditional single-point FCS measurements because of the lack of spatial resolution.
We show that obstacles to molecular flow can be detected and that the pCF algorithm can recognize the heterogeneity of protein intra-compartment diffusion as well as the presence of barriers to transport across NE.
核孔复合物(NPC)介导蛋白质、RNA 和核糖核蛋白在双层核膜上的双向运输。虽然有许多研究着眼于细胞核内和核膜内的物质运输,但我们提出了一种在未受干扰的细胞中检测核质转运动力学的方法,该方法不需要对分离的分子进行特定标记,最重要的是,在存在细胞环境的情况下也不需要进行特定标记。
对关联函数法(pCF)测量了分子在细胞内从一个位置迁移到另一个位置所花费的时间,同时考虑了许多同种分子的存在。细胞中任意两点之间的空间和时间相关性提供了分子运输的局部图谱,并且还突出显示了扩散的障碍的存在,其具有毫秒级的时间分辨率和受限于衍射的空间分辨率。我们使用对关联方法来监测模型蛋白底物在活细胞中通过 NPC 的运输,这是一个生物学问题,其中由于缺乏空间分辨率,单点跟踪(SPT)的结果无法通过传统的单点 FCS 测量来确认。
我们表明可以检测到分子流动的障碍,并且 pCF 算法可以识别蛋白质在隔室内扩散的异质性,以及跨核周间隙转运的障碍的存在。