纳米技术
原子力显微镜
动力学(音乐)
生物分子
核孔
内在无序蛋白质
化学物理
生物系统
分子动力学
蛋白质动力学
生物物理学
统计物理学
化学
物理
材料科学
核心
生物
计算化学
细胞生物学
声学
作者
George J. Stanley,Bernice Akpinar,Qi Shen,Patrick D. Ellis Fisher,C. Patrick Lusk,Chenxiang Lin,Bart W. Hoogenboom
出处
期刊:ACS Nano
[American Chemical Society]
日期:2019-06-26
卷期号:13 (7): 7949-7956
被引量:17
标识
DOI:10.1021/acsnano.9b02424
摘要
Over the past decades, atomic force microscopy (AFM) has emerged as an increasingly powerful tool to study the dynamics of biomolecules at nanometer length scales. However, the more stochastic the nature of such biomolecular dynamics, the harder it becomes to distinguish them from AFM measurement noise. Rapid, stochastic dynamics are inherent to biological systems comprising intrinsically disordered proteins. One role of such proteins is in the formation of the transport barrier of the nuclear pore complex (NPC): the selective gateway for macromolecular traffic entering or exiting the nucleus. Here, we use AFM to observe the dynamics of intrinsically disordered proteins from two systems: the transport barrier of native NPCs and the transport barrier of a mimetic NPC made using a DNA origami scaffold. Analyzing data recorded with 50-200 ms temporal resolution, we highlight the importance of drift correction and appropriate baseline measurements in such experiments. In addition, we describe an autocorrelation analysis to quantify time scales of observed dynamics and to assess their veracity-an analysis protocol that lends itself to the quantification of stochastic fluctuations in other biomolecular systems. The results reveal the surprisingly slow rate of stochastic, collective transitions inside mimetic NPCs, highlighting the importance of FG-nup cohesive interactions.
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