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Biophysical approach for studying the MinD protein dynamics and energy landscape: A novel use of the spot tracking technique

机译:研究MinD蛋白质动力学和能量分布的生物物理方法:点跟踪技术的新用途

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The dynamics of MinD proteins have been acknowledged as playing a central role in accurate cell division. In our study, a spot tracking technique (STT) was applied to track motion and quantitatively characterize the dynamic behavior of MinD proteins on the level of particle cluster in Escherichia coli. We focused on the time and spatial distribution of MinD proteins. With the STT technique, the main quantitative results are twofold: (i) dynamic local and global pattern formations and (ii) energy landscape. The overall MinD cluster motion is governed by two dynamical time scales, namely the (slow) trapping time (~26 s) that appears at the cell poles, and the (fast) switching time (~1-2 s) which emerges between the cell poles. MinD cluster motion at the polar zones performs subdiffusion. The energy landscape is found to be two wells and one barrier. These energy landscape results are to relate with the memory effect of GFP-MinD cluster motion, measuring the PSD exponent approximately 1.57 (α ~ 0.57) corresponding to the estimated potential depth U _0 ~ 1.75k_BT.
机译:MinD蛋白的动力学已被认为在精确的细胞分裂中起着核心作用。在我们的研究中,斑点跟踪技术(STT)用于跟踪运动并定量表征MinD蛋白在大肠杆菌颗粒簇水平上的动态行为。我们关注MinD蛋白的时间和空间分布。使用STT技术,主要的定量结果是双重的:(i)动态的局部和全局模式形成以及(ii)能源格局。 MinD团簇的整体运动受两个动态时间尺度的控制,即在细胞极出现的(缓慢)捕获时间(〜26 s)和在两个电极之间出现的(快速)切换时间(〜1-2 s)。细胞极。极区的MinD团簇运动会进行扩散。发现能源格局是两口井和一道障碍。这些能量景观结果与GFP-MinD簇运动的记忆效应有关,测量的PSD指数约为1.57(α〜0.57),对应于估计的潜在深度U _0〜1.75k_BT。

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