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利用量子点对活细胞膜上的个体 BKCa 通道进行定点标记来监测其运动。

Movements of individual BKCa channels in live cell membrane monitored by site-specific labeling using quantum dots.

机构信息

School of Life Sciences, Gwangju Institute of Science Technology, Gwangju, Korea.

出版信息

Biophys J. 2010 Nov 3;99(9):2853-62. doi: 10.1016/j.bpj.2010.08.049.

Abstract

The movements of BK(Ca) channels were investigated in live cells using quantum dots (QDs). The extracellular N-terminus was metabolically tagged with biotin, labeled with streptavidin-conjugated QDs and then monitored using real-time time-lapse imaging in COS-7 cells and cultured neurons. By tracking hundreds of channels, we were able to determine the characteristics of channel movements quantitatively. Channels in COS-7 cells exhibited a confined diffusion in an area of 1.915 μm(2), with an initial diffusion coefficient of 0.033 μm(2)/s. In neurons, the channel movements were more heterogeneous and highly dependent on subcellular location. While the channels in soma diffused slowly without clear confinement, axodendritic channels showed more rapid and pseudo-one-dimensional movements. Intriguingly, the channel movement in somata was drastically increased by the neuronal β4 subunit, in contrast to the channels in the axodendritic area where the mobility were significantly decreased. Thus, our results demonstrate that the membrane mobility of BK(Ca) channels can be greatly influenced by the expression system used, subunit composition, and subcellular location. This QD-based, single-molecule tracking technique can be utilized to investigate the cellular mechanisms that determine the mobility as well as the localization of various membrane proteins in live cells.

摘要

使用量子点(Quantum Dots,QDs)研究了活细胞中 BK(Ca) 通道的运动。通过代谢标记细胞外 N 端的生物素,用链霉亲和素偶联的 QD 进行标记,然后在 COS-7 细胞和培养神经元中使用实时延时成像进行监测。通过跟踪数百个通道,我们能够定量确定通道运动的特征。COS-7 细胞中的通道在 1.915μm² 的区域内表现出受限扩散,初始扩散系数为 0.033μm²/s。在神经元中,通道运动更加异质化,高度依赖于亚细胞位置。虽然胞体中的通道扩散缓慢,没有明显的限制,但轴突树突的通道显示出更快的准一维运动。有趣的是,神经元 β4 亚基显著增加了胞体中通道的运动,而在轴突树突区域,通道的流动性则显著降低。因此,我们的结果表明,BK(Ca) 通道的膜流动性可以受到表达系统、亚基组成和亚细胞位置的极大影响。这种基于 QD 的单分子跟踪技术可用于研究决定各种膜蛋白在活细胞中流动性和定位的细胞机制。

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