Yu Ji
Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, Connecticut 06030; email:
Annu Rev Phys Chem. 2016 May 27;67:565-85. doi: 10.1146/annurev-physchem-040215-112451. Epub 2016 Apr 8.
Live-cell single-molecule experiments are now widely used to study complex biological processes such as signal transduction, self-assembly, active trafficking, and gene regulation. These experiments' increased popularity results in part from rapid methodological developments that have significantly lowered the technical barriers to performing them. Another important advance is the development of novel statistical algorithms, which, by modeling the stochastic behaviors of single molecules, can be used to extract systemic parameters describing the in vivo biochemistry or super-resolution localization of biological molecules within their physiological environment. This review discusses recent advances in experimental and computational strategies for live-cell single-molecule studies, as well as a selected subset of biological studies that have utilized these new technologies.
活细胞单分子实验如今被广泛用于研究复杂的生物过程，如信号转导、自组装、主动运输和基因调控。这些实验日益普及，部分原因是方法学的快速发展显著降低了开展实验的技术障碍。另一项重要进展是新型统计算法的开发，通过对单分子的随机行为进行建模，可用于提取描述生物分子在其生理环境中的体内生物化学或超分辨率定位的系统参数。本文综述了活细胞单分子研究在实验和计算策略方面的最新进展，以及利用这些新技术的部分生物学研究。
