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Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae
Single-molecule tracking (SMT) is a powerful approach to quantify the biophysical parameters of protein dynamics in live cells. Here, we describe a protocol for SMT in live cells of the budding yeast Saccharomyces cerevisiae. We detail how to genetically engineer yeast strains for SMT, how to set up...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732415/ https://www.ncbi.nlm.nih.gov/pubmed/36595957 http://dx.doi.org/10.1016/j.xpro.2022.101900 |
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author | Podh, Nitesh Kumar Das, Ayan Dey, Partha Paliwal, Sheetal Mehta, Gunjan |
author_facet | Podh, Nitesh Kumar Das, Ayan Dey, Partha Paliwal, Sheetal Mehta, Gunjan |
author_sort | Podh, Nitesh Kumar |
collection | PubMed |
description | Single-molecule tracking (SMT) is a powerful approach to quantify the biophysical parameters of protein dynamics in live cells. Here, we describe a protocol for SMT in live cells of the budding yeast Saccharomyces cerevisiae. We detail how to genetically engineer yeast strains for SMT, how to set up image acquisition parameters, and how different software programs can be used to quantify a variety of biophysical parameters such as diffusion coefficient, residence time, bound fraction, jump angles, and target-search parameters. For complete details on the use and execution of this protocol, please refer to Mehta et al. (1) and Ball et al..(2) |
format | Online Article Text |
id | pubmed-9732415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97324152022-12-10 Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae Podh, Nitesh Kumar Das, Ayan Dey, Partha Paliwal, Sheetal Mehta, Gunjan STAR Protoc Protocol Single-molecule tracking (SMT) is a powerful approach to quantify the biophysical parameters of protein dynamics in live cells. Here, we describe a protocol for SMT in live cells of the budding yeast Saccharomyces cerevisiae. We detail how to genetically engineer yeast strains for SMT, how to set up image acquisition parameters, and how different software programs can be used to quantify a variety of biophysical parameters such as diffusion coefficient, residence time, bound fraction, jump angles, and target-search parameters. For complete details on the use and execution of this protocol, please refer to Mehta et al. (1) and Ball et al..(2) Elsevier 2022-12-05 /pmc/articles/PMC9732415/ /pubmed/36595957 http://dx.doi.org/10.1016/j.xpro.2022.101900 Text en © 2022 The Authors 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 Podh, Nitesh Kumar Das, Ayan Dey, Partha Paliwal, Sheetal Mehta, Gunjan Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae |
title | Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae |
title_full | Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae |
title_fullStr | Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae |
title_full_unstemmed | Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae |
title_short | Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae |
title_sort | single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of s. cerevisiae |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732415/ https://www.ncbi.nlm.nih.gov/pubmed/36595957 http://dx.doi.org/10.1016/j.xpro.2022.101900 |
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