Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Development. 2021 Sep 15;148(18). doi: 10.1242/dev.199744. Epub 2021 Sep 7.
For decades, we have relied on population and time-averaged snapshots of dynamic molecular scale events to understand how genes are regulated during development and beyond. The advent of techniques to observe single-molecule kinetics in increasingly endogenous contexts, progressing from in vitro studies to living embryos, has revealed how much we have missed. Here, we provide an accessible overview of the rapidly expanding family of technologies for single-molecule tracking (SMT), with the goal of enabling the reader to critically analyse single-molecule studies, as well as to inspire the application of SMT to their own work. We start by overviewing the basics of and motivation for SMT experiments, and the trade-offs involved when optimizing parameters. We then cover key technologies, including fluorescent labelling, excitation and detection optics, localization and tracking algorithms, and data analysis. Finally, we provide a summary of selected recent applications of SMT to study the dynamics of gene regulation.
几十年来,我们一直依赖于对动态分子尺度事件的人群和时间平均快照的依赖,以了解基因在发育过程中以及之后是如何被调控的。观察单分子动力学的技术在越来越内源性的背景下出现,从体外研究进展到活体胚胎,这揭示了我们错过了多少。在这里,我们提供了对单分子跟踪(SMT)技术的快速扩展的技术家族的简介,目的是使读者能够批判性地分析单分子研究,并激发 SMT 在他们自己的工作中的应用。我们首先概述 SMT 实验的基本原理和动机,以及在优化参数时涉及的权衡。然后,我们涵盖了关键技术,包括荧光标记、激发和检测光学、定位和跟踪算法以及数据分析。最后,我们总结了 SMT 在研究基因调控动力学方面的一些最新应用。