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Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response
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Transcriptomic changes in single yeast cells under various stress conditions.

Yangqi Su1, Chen Xu1, Jonathan Shea1

  • 1Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 28223, Charlotte, NC, USA.

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|February 24, 2023
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Summary

Single-cell RNA sequencing reveals distinct transcriptomic signatures in Saccharomyces cerevisiae under various stress conditions. This approach offers higher resolution for understanding yeast stress responses compared to traditional bulk methods.

Keywords:
Gene regulatory networksRNA-seqSingle cellStress responseYeast

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Area of Science:

  • Molecular Biology
  • Genomics
  • Yeast Biology

Background:

  • The stress response of Saccharomyces cerevisiae is well-studied, but new technologies offer higher resolution.
  • Single-cell transcriptome profiling presents an opportunity to deepen our understanding of yeast stress responses at a systems level.

Purpose of the Study:

  • To investigate transcriptomic changes in baker's yeast (Saccharomyces cerevisiae) cells under different stress conditions.
  • To apply full-length single-cell RNA sequencing (scRNA-Seq) for high-resolution analysis of yeast stress responses.

Main Methods:

  • Sequencing of 117 yeast cells using a full-length single-cell RNA-Seq method.
  • Application of three distinct stress treatments: hypotonic condition, glucose starvation, and amino acid starvation.
  • Careful sample selection and batch-effect correction to mitigate technical noise and artifacts.

Main Results:

  • Identified distinct transcriptomic signatures corresponding to different stress conditions.
  • Captured putative regulatory relationships between transcription factors and their target genes.
  • Observed variability among single cells within the same treatment group, highlighting the importance of noise reduction.

Conclusions:

  • Full-length single-cell transcriptomic analysis provides a clearer understanding of yeast stress response mechanisms.
  • This method offers superior resolution compared to bulk cell population-based approaches for studying Saccharomyces cerevisiae.
  • The study highlights the potential of scRNA-Seq in dissecting cellular responses to environmental challenges.