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Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae

The budding yeast Saccharomyces cerevisiae is an excellent model organism to dissect the maintenance and inheritance of phenotypes due to its asymmetric division. This requires following individual cells over time as they go through divisions to define pedigrees. Here, we provide a detailed protocol...

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Autores principales: Bheda, Poonam, Aguilar-Gómez, Diana, Kukhtevich, Igor, Becker, Johannes, Charvin, Gilles, Kirmizis, Antonis, Schneider, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757727/
https://www.ncbi.nlm.nih.gov/pubmed/33377118
http://dx.doi.org/10.1016/j.xpro.2020.100228
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author Bheda, Poonam
Aguilar-Gómez, Diana
Kukhtevich, Igor
Becker, Johannes
Charvin, Gilles
Kirmizis, Antonis
Schneider, Robert
author_facet Bheda, Poonam
Aguilar-Gómez, Diana
Kukhtevich, Igor
Becker, Johannes
Charvin, Gilles
Kirmizis, Antonis
Schneider, Robert
author_sort Bheda, Poonam
collection PubMed
description The budding yeast Saccharomyces cerevisiae is an excellent model organism to dissect the maintenance and inheritance of phenotypes due to its asymmetric division. This requires following individual cells over time as they go through divisions to define pedigrees. Here, we provide a detailed protocol for collecting and analyzing time-lapse imaging data of yeast cells. The microfluidics protocol can achieve improved time resolution for single-cell tracking to enable characterization of maintenance and inheritance of phenotypes. For complete details on the use and execution of this protocol, please refer to Bheda et al. (2020a).
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spelling pubmed-77577272020-12-28 Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae Bheda, Poonam Aguilar-Gómez, Diana Kukhtevich, Igor Becker, Johannes Charvin, Gilles Kirmizis, Antonis Schneider, Robert STAR Protoc Protocol The budding yeast Saccharomyces cerevisiae is an excellent model organism to dissect the maintenance and inheritance of phenotypes due to its asymmetric division. This requires following individual cells over time as they go through divisions to define pedigrees. Here, we provide a detailed protocol for collecting and analyzing time-lapse imaging data of yeast cells. The microfluidics protocol can achieve improved time resolution for single-cell tracking to enable characterization of maintenance and inheritance of phenotypes. For complete details on the use and execution of this protocol, please refer to Bheda et al. (2020a). Elsevier 2020-12-16 /pmc/articles/PMC7757727/ /pubmed/33377118 http://dx.doi.org/10.1016/j.xpro.2020.100228 Text en © 2020 The Author(s) http://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
Bheda, Poonam
Aguilar-Gómez, Diana
Kukhtevich, Igor
Becker, Johannes
Charvin, Gilles
Kirmizis, Antonis
Schneider, Robert
Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae
title Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae
title_full Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae
title_fullStr Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae
title_full_unstemmed Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae
title_short Microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in Saccharomyces cerevisiae
title_sort microfluidics for single-cell lineage tracking over time to characterize transmission of phenotypes in saccharomyces cerevisiae
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757727/
https://www.ncbi.nlm.nih.gov/pubmed/33377118
http://dx.doi.org/10.1016/j.xpro.2020.100228
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