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Transcriptomic changes in single yeast cells under various stress conditions

BACKGROUND: The stress response of Saccharomyces cerevisiae has been extensively studied in the past decade. However, with the advent of recent technology in single-cell transcriptome profiling, there is a new opportunity to expand and further understanding of the yeast stress response with greater...

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Autores principales: Su, Yangqi, Xu, Chen, Shea, Jonathan, DeStephanis, Darla, Su, Zhengchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960639/
https://www.ncbi.nlm.nih.gov/pubmed/36829151
http://dx.doi.org/10.1186/s12864-023-09184-w
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author Su, Yangqi
Xu, Chen
Shea, Jonathan
DeStephanis, Darla
Su, Zhengchang
author_facet Su, Yangqi
Xu, Chen
Shea, Jonathan
DeStephanis, Darla
Su, Zhengchang
author_sort Su, Yangqi
collection PubMed
description BACKGROUND: The stress response of Saccharomyces cerevisiae has been extensively studied in the past decade. However, with the advent of recent technology in single-cell transcriptome profiling, there is a new opportunity to expand and further understanding of the yeast stress response with greater resolution on a system level. To understand transcriptomic changes in baker’s yeast S. cerevisiae cells under stress conditions, we sequenced 117 yeast cells under three stress treatments (hypotonic condition, glucose starvation and amino acid starvation) using a full-length single-cell RNA-Seq method. RESULTS: We found that though single cells from the same treatment showed varying degrees of uniformity, technical noise and batch effects can confound results significantly. However, upon careful selection of samples to reduce technical artifacts and account for batch-effects, we were able to capture distinct transcriptomic signatures for different stress conditions as well as putative regulatory relationships between transcription factors and target genes. CONCLUSION: Our results show that a full-length single-cell based transcriptomic analysis of the yeast may help paint a clearer picture of how the model organism responds to stress than do bulk cell population-based methods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09184-w.
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spelling pubmed-99606392023-02-26 Transcriptomic changes in single yeast cells under various stress conditions Su, Yangqi Xu, Chen Shea, Jonathan DeStephanis, Darla Su, Zhengchang BMC Genomics Research BACKGROUND: The stress response of Saccharomyces cerevisiae has been extensively studied in the past decade. However, with the advent of recent technology in single-cell transcriptome profiling, there is a new opportunity to expand and further understanding of the yeast stress response with greater resolution on a system level. To understand transcriptomic changes in baker’s yeast S. cerevisiae cells under stress conditions, we sequenced 117 yeast cells under three stress treatments (hypotonic condition, glucose starvation and amino acid starvation) using a full-length single-cell RNA-Seq method. RESULTS: We found that though single cells from the same treatment showed varying degrees of uniformity, technical noise and batch effects can confound results significantly. However, upon careful selection of samples to reduce technical artifacts and account for batch-effects, we were able to capture distinct transcriptomic signatures for different stress conditions as well as putative regulatory relationships between transcription factors and target genes. CONCLUSION: Our results show that a full-length single-cell based transcriptomic analysis of the yeast may help paint a clearer picture of how the model organism responds to stress than do bulk cell population-based methods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09184-w. BioMed Central 2023-02-24 /pmc/articles/PMC9960639/ /pubmed/36829151 http://dx.doi.org/10.1186/s12864-023-09184-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Su, Yangqi
Xu, Chen
Shea, Jonathan
DeStephanis, Darla
Su, Zhengchang
Transcriptomic changes in single yeast cells under various stress conditions
title Transcriptomic changes in single yeast cells under various stress conditions
title_full Transcriptomic changes in single yeast cells under various stress conditions
title_fullStr Transcriptomic changes in single yeast cells under various stress conditions
title_full_unstemmed Transcriptomic changes in single yeast cells under various stress conditions
title_short Transcriptomic changes in single yeast cells under various stress conditions
title_sort transcriptomic changes in single yeast cells under various stress conditions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960639/
https://www.ncbi.nlm.nih.gov/pubmed/36829151
http://dx.doi.org/10.1186/s12864-023-09184-w
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AT suzhengchang transcriptomicchangesinsingleyeastcellsundervariousstressconditions