Literature DB >> 35103967

A Protocol for Studying Transcription Factor Dynamics Using Fast Single-Particle Tracking and Spot-On Model-Based Analysis.

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.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Diffusion; Diffusion coefficient; Fluorescence microscopy; Live-cell imaging; Single-molecule; Single-particle tracking; Single-particle trajectories; Spot-On; Transcription factors; spaSPT

Mesh:

Substances:

Year:  2022        PMID: 35103967     DOI: 10.1007/978-1-0716-2140-0_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  46 in total

1.  High mobility of proteins in the mammalian cell nucleus.

Authors:  R D Phair; T Misteli
Journal:  Nature       Date:  2000-04-06       Impact factor: 49.962

2.  Tracking single proteins within cells.

Authors:  M Goulian; S M Simon
Journal:  Biophys J       Date:  2000-10       Impact factor: 4.033

Review 3.  Quantifying transcription factor kinetics: at work or at play?

Authors:  Florian Mueller; Timothy J Stasevich; Davide Mazza; James G McNally
Journal:  Crit Rev Biochem Mol Biol       Date:  2013-09-11       Impact factor: 8.250

Review 4.  Single Particle Tracking: From Theory to Biophysical Applications.

Authors:  Hao Shen; Lawrence J Tauzin; Rashad Baiyasi; Wenxiao Wang; Nicholas Moringo; Bo Shuang; Christy F Landes
Journal:  Chem Rev       Date:  2017-05-18       Impact factor: 60.622

5.  Quantitative mapping of fluorescently tagged cellular proteins using FCS-calibrated four-dimensional imaging.

Authors:  Antonio Z Politi; Yin Cai; Nike Walther; M Julius Hossain; Birgit Koch; Malte Wachsmuth; Jan Ellenberg
Journal:  Nat Protoc       Date:  2018-05-24       Impact factor: 13.491

Review 6.  FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know?

Authors:  Florian Mueller; Davide Mazza; Timothy J Stasevich; James G McNally
Journal:  Curr Opin Cell Biol       Date:  2010-04-21       Impact factor: 8.382

Review 7.  Organization and regulation of gene transcription.

Authors:  Patrick Cramer
Journal:  Nature       Date:  2019-08-28       Impact factor: 49.962

8.  Single-molecule dynamics of enhanceosome assembly in embryonic stem cells.

Authors:  Jiji Chen; Zhengjian Zhang; Li Li; Bi-Chang Chen; Andrey Revyakin; Bassam Hajj; Wesley Legant; Maxime Dahan; Timothée Lionnet; Eric Betzig; Robert Tjian; Zhe Liu
Journal:  Cell       Date:  2014-03-13       Impact factor: 41.582

Review 9.  Single-molecule tracking of transcription protein dynamics in living cells: seeing is believing, but what are we seeing?

Authors:  Timothée Lionnet; Carl Wu
Journal:  Curr Opin Genet Dev       Date:  2021-01-07       Impact factor: 4.665

10.  A benchmark for chromatin binding measurements in live cells.

Authors:  Davide Mazza; Alice Abernathy; Nicole Golob; Tatsuya Morisaki; James G McNally
Journal:  Nucleic Acids Res       Date:  2012-07-25       Impact factor: 16.971

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