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Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking

This protocol provides instructions to track the global dynamics of single epigenetic regulatory factors in live cells. We describe an approach to generate cell lines that stably express HaloTag-fused proteins. We then use live-cell single-molecule tracking to obtain kinetic populations and residenc...

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Detalles Bibliográficos
Autores principales: Brown, Kyle, Kent, Samantha, Ren, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605088/
https://www.ncbi.nlm.nih.gov/pubmed/34825219
http://dx.doi.org/10.1016/j.xpro.2021.100959
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author Brown, Kyle
Kent, Samantha
Ren, Xiaojun
author_facet Brown, Kyle
Kent, Samantha
Ren, Xiaojun
author_sort Brown, Kyle
collection PubMed
description This protocol provides instructions to track the global dynamics of single epigenetic regulatory factors in live cells. We describe an approach to generate cell lines that stably express HaloTag-fused proteins. We then use live-cell single-molecule tracking to obtain kinetic populations and residence times. The kinetic parameters obtained can be used to determine important aspects of transcriptional regulation such as target-search time, 3D free diffusion time, and number of non-specific sites sampled before reaching a specific site and compare behaviors across different nuclear environments. For complete details on the use and execution of this protocol, please refer to Kent et al. (2020).
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spelling pubmed-86050882021-11-24 Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking Brown, Kyle Kent, Samantha Ren, Xiaojun STAR Protoc Protocol This protocol provides instructions to track the global dynamics of single epigenetic regulatory factors in live cells. We describe an approach to generate cell lines that stably express HaloTag-fused proteins. We then use live-cell single-molecule tracking to obtain kinetic populations and residence times. The kinetic parameters obtained can be used to determine important aspects of transcriptional regulation such as target-search time, 3D free diffusion time, and number of non-specific sites sampled before reaching a specific site and compare behaviors across different nuclear environments. For complete details on the use and execution of this protocol, please refer to Kent et al. (2020). Elsevier 2021-11-16 /pmc/articles/PMC8605088/ /pubmed/34825219 http://dx.doi.org/10.1016/j.xpro.2021.100959 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Brown, Kyle
Kent, Samantha
Ren, Xiaojun
Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
title Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
title_full Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
title_fullStr Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
title_full_unstemmed Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
title_short Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
title_sort quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605088/
https://www.ncbi.nlm.nih.gov/pubmed/34825219
http://dx.doi.org/10.1016/j.xpro.2021.100959
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