Yeung Chuck, Shtrahman Matthew, Wu Xiao-lun
School of Science, Pennsylvania State University at Erie, The Behrend College, Erie, Pennsylvania, USA.
Biophys J. 2007 Apr 1;92(7):2271-80. doi: 10.1529/biophysj.106.081794. Epub 2007 Jan 11.
Two models were recently proposed to enable us to understand the dynamics of synaptic vesicles in hippocampal neurons. In the caged diffusion model, the vesicles diffuse in small circular cages located randomly in the bouton, while in the stick-and-diffuse model the vesicles bind and release from a cellular cytomatrix. In this article, we obtain analytic expressions for the fluorescence correlation spectroscopy (FCS) autocorrelation function for the two models and test their predictions against our earlier FCS measurements of the vesicle dynamics. We find that the stick-and-diffuse model agrees much better with the experiment. We find also that, due to the slow dynamics of the vesicles, the finite experimental integration time has an important effect on the FCS autocorrelation function and demonstrate its effect for the different models. The two models of the dynamics are also relevant to other cellular environments where mobile species undergo slow diffusionlike motion in restricted spaces or bind and release from a stationary substrate.
最近提出了两种模型,以使我们能够理解海马神经元中突触小泡的动态变化。在笼状扩散模型中,小泡在随机位于突触小体中的小圆形笼中扩散,而在黏附-扩散模型中,小泡与细胞基质结合并从中释放。在本文中,我们获得了这两种模型的荧光相关光谱(FCS)自相关函数的解析表达式,并根据我们早期对小泡动态的FCS测量来检验它们的预测。我们发现黏附-扩散模型与实验结果吻合得更好。我们还发现,由于小泡的动态变化缓慢,有限的实验积分时间对FCS自相关函数有重要影响,并展示了其对不同模型的影响。这两种动力学模型也与其他细胞环境相关,在这些环境中,移动的物质在受限空间中经历类似缓慢扩散的运动,或者与固定的底物结合并从中释放。