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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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). |
format | Online Article Text |
id | pubmed-8605088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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