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A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast
Current methods for single-cell RNA sequencing (scRNA-seq) of yeast cells do not match the throughput and relative simplicity of the state-of-the-art techniques that are available for mammalian cells. In this study, we report how 10x Genomics’ droplet-based single-cell RNA sequencing technology can...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259953/ https://www.ncbi.nlm.nih.gov/pubmed/32420869 http://dx.doi.org/10.7554/eLife.55320 |
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author | Jariani, Abbas Vermeersch, Lieselotte Cerulus, Bram Perez-Samper, Gemma Voordeckers, Karin Van Brussel, Thomas Thienpont, Bernard Lambrechts, Diether Verstrepen, Kevin J |
author_facet | Jariani, Abbas Vermeersch, Lieselotte Cerulus, Bram Perez-Samper, Gemma Voordeckers, Karin Van Brussel, Thomas Thienpont, Bernard Lambrechts, Diether Verstrepen, Kevin J |
author_sort | Jariani, Abbas |
collection | PubMed |
description | Current methods for single-cell RNA sequencing (scRNA-seq) of yeast cells do not match the throughput and relative simplicity of the state-of-the-art techniques that are available for mammalian cells. In this study, we report how 10x Genomics’ droplet-based single-cell RNA sequencing technology can be modified to allow analysis of yeast cells. The protocol, which is based on in-droplet spheroplasting of the cells, yields an order-of-magnitude higher throughput in comparison to existing methods. After extensive validation of the method, we demonstrate its use by studying the dynamics of the response of isogenic yeast populations to a shift in carbon source, revealing the heterogeneity and underlying molecular processes during this shift. The method we describe opens new avenues for studies focusing on yeast cells, as well as other cells with a degradable cell wall. |
format | Online Article Text |
id | pubmed-7259953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-72599532020-06-02 A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast Jariani, Abbas Vermeersch, Lieselotte Cerulus, Bram Perez-Samper, Gemma Voordeckers, Karin Van Brussel, Thomas Thienpont, Bernard Lambrechts, Diether Verstrepen, Kevin J eLife Chromosomes and Gene Expression Current methods for single-cell RNA sequencing (scRNA-seq) of yeast cells do not match the throughput and relative simplicity of the state-of-the-art techniques that are available for mammalian cells. In this study, we report how 10x Genomics’ droplet-based single-cell RNA sequencing technology can be modified to allow analysis of yeast cells. The protocol, which is based on in-droplet spheroplasting of the cells, yields an order-of-magnitude higher throughput in comparison to existing methods. After extensive validation of the method, we demonstrate its use by studying the dynamics of the response of isogenic yeast populations to a shift in carbon source, revealing the heterogeneity and underlying molecular processes during this shift. The method we describe opens new avenues for studies focusing on yeast cells, as well as other cells with a degradable cell wall. eLife Sciences Publications, Ltd 2020-05-18 /pmc/articles/PMC7259953/ /pubmed/32420869 http://dx.doi.org/10.7554/eLife.55320 Text en © 2020, Jariani et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Chromosomes and Gene Expression Jariani, Abbas Vermeersch, Lieselotte Cerulus, Bram Perez-Samper, Gemma Voordeckers, Karin Van Brussel, Thomas Thienpont, Bernard Lambrechts, Diether Verstrepen, Kevin J A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast |
title | A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast |
title_full | A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast |
title_fullStr | A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast |
title_full_unstemmed | A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast |
title_short | A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast |
title_sort | new protocol for single-cell rna-seq reveals stochastic gene expression during lag phase in budding yeast |
topic | Chromosomes and Gene Expression |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259953/ https://www.ncbi.nlm.nih.gov/pubmed/32420869 http://dx.doi.org/10.7554/eLife.55320 |
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