| Literature DB >> 35103967 |
Asmita Jha1, Anders S Hansen2.
Abstract
Single-particle tracking (SPT) makes it possible to directly observe single protein diffusion dynamics in living cells over time. Thus, SPT has emerged as a powerful method to quantify the dynamics of nuclear proteins such as transcription factors (TFs). Here, we provide a protocol for conducting and analyzing SPT experiments with a focus on fast tracking ("fastSPT") of TFs in mammalian cells. First, we explore how to engineer and prepare cells for SPT experiments. Next, we examine how to optimize SPT experiments by imaging at low densities to minimize tracking errors and by using stroboscopic excitation to minimize motion-blur. Next, we discuss how to convert raw SPT data into single-particle trajectories. Finally, we illustrate how to analyze these trajectories using the kinetic modeling package Spot-On. We discuss how to use Spot-On to fit histograms of displacements and extract useful information such as the fraction of TFs that are bound and freely diffusing, and their associated diffusion coefficients.Entities:
Keywords: Diffusion; Diffusion coefficient; Fluorescence microscopy; Live-cell imaging; Single-molecule; Single-particle tracking; Single-particle trajectories; Spot-On; Transcription factors; spaSPT
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Year: 2022 PMID: 35103967 DOI: 10.1007/978-1-0716-2140-0_9
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745