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High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events
Saccharomyces cerevisiae is a leading model system for genome-wide screens, but low-frequency events (e.g., point mutations, recombination events) are difficult to detect with existing approaches. Here, we describe a high-throughput screening technique to detect low-frequency events using high-throu...
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/PMC8760548/ https://www.ncbi.nlm.nih.gov/pubmed/35059655 http://dx.doi.org/10.1016/j.xpro.2021.101082 |
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author | Novarina, Daniele Rosas Bringas, Fernando R. Rosas Bringas, Omar G. Chang, Michael |
author_facet | Novarina, Daniele Rosas Bringas, Fernando R. Rosas Bringas, Omar G. Chang, Michael |
author_sort | Novarina, Daniele |
collection | PubMed |
description | Saccharomyces cerevisiae is a leading model system for genome-wide screens, but low-frequency events (e.g., point mutations, recombination events) are difficult to detect with existing approaches. Here, we describe a high-throughput screening technique to detect low-frequency events using high-throughput replica pinning of high-density arrays of yeast colonies. This approach can be used to screen genes that control any process involving low-frequency events for which genetically selectable reporters are available, e.g., spontaneous mutations, recombination, and transcription errors. For complete details on the use and execution of this protocol, please refer to (Novarina et al., 2020a, 2020b). |
format | Online Article Text |
id | pubmed-8760548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87605482022-01-19 High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events Novarina, Daniele Rosas Bringas, Fernando R. Rosas Bringas, Omar G. Chang, Michael STAR Protoc Protocol Saccharomyces cerevisiae is a leading model system for genome-wide screens, but low-frequency events (e.g., point mutations, recombination events) are difficult to detect with existing approaches. Here, we describe a high-throughput screening technique to detect low-frequency events using high-throughput replica pinning of high-density arrays of yeast colonies. This approach can be used to screen genes that control any process involving low-frequency events for which genetically selectable reporters are available, e.g., spontaneous mutations, recombination, and transcription errors. For complete details on the use and execution of this protocol, please refer to (Novarina et al., 2020a, 2020b). Elsevier 2022-01-13 /pmc/articles/PMC8760548/ /pubmed/35059655 http://dx.doi.org/10.1016/j.xpro.2021.101082 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Novarina, Daniele Rosas Bringas, Fernando R. Rosas Bringas, Omar G. Chang, Michael High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
title | High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
title_full | High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
title_fullStr | High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
title_full_unstemmed | High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
title_short | High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
title_sort | high-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760548/ https://www.ncbi.nlm.nih.gov/pubmed/35059655 http://dx.doi.org/10.1016/j.xpro.2021.101082 |
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