Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Single-cell RNA-seq reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress

View ORCID ProfileAudrey P. Gasch, Feiqiao Brian Yu, James Hose, Leah E. Escalante, Mike Place, Rhonda Bacher, Jad Kanbar, Doina Ciobanu, Laura Sandor, Igor V. Grigoriev, Christina Kendziorski, Stephen R. Quake, Megan N. McClean
doi: https://doi.org/10.1101/179093
Audrey P. Gasch
1Laboratory of Genetics, University of Wisconsin-Madison, Madison WI, 53706
2Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison WI, 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Audrey P. Gasch
  • For correspondence: agasch@wisc.edu
Feiqiao Brian Yu
3Department of Bioengineering, Stanford University, Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James Hose
1Laboratory of Genetics, University of Wisconsin-Madison, Madison WI, 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Leah E. Escalante
1Laboratory of Genetics, University of Wisconsin-Madison, Madison WI, 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mike Place
2Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison WI, 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rhonda Bacher
4Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison WI 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jad Kanbar
3Department of Bioengineering, Stanford University, Stanford, CA 94305
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Doina Ciobanu
5Department of Energy Joint Genome Institute, Walnut Creek, CA 94598
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Sandor
5Department of Energy Joint Genome Institute, Walnut Creek, CA 94598
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Igor V. Grigoriev
5Department of Energy Joint Genome Institute, Walnut Creek, CA 94598
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christina Kendziorski
4Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison WI 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stephen R. Quake
3Department of Bioengineering, Stanford University, Stanford, CA 94305
6Chan Zuckerberg Biohub, San Francisco, CA, 94518
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Megan N. McClean
7Department of Biomedical Engineering, University of Wisconsin-Madison, Madison WI 53706
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

ABSTRACT

From bacteria to humans, individual cells within isogenic populations can show significant variation in stress tolerance, but the nature of this heterogeneity is not clear. We used single-cell RNA sequencing to quantify transcript heterogeneity in single S. cerevisiae cells treated with and without salt stress, to explore population variation and identify cellular covariates that influence the stress-responsive transcriptome. We leveraged the extensive knowledge of yeast transcriptional regulation to infer activation of upstream regulators in individual cells. We tested resulting hypotheses with live- and single-cell fluorescence microscopy, focusing on pairs of differentially labeled factors, including Msn2 with Hog1, Dot6 or Sfp1, expressed in the same cells. Our results revealed surprising cases of regulator decoupling for pathways thought to be coregulated based on bulk populations. The impact of cell cycle and metabolic fluctuations on the stress response are also discussed.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted August 21, 2017.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Single-cell RNA-seq reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Single-cell RNA-seq reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress
Audrey P. Gasch, Feiqiao Brian Yu, James Hose, Leah E. Escalante, Mike Place, Rhonda Bacher, Jad Kanbar, Doina Ciobanu, Laura Sandor, Igor V. Grigoriev, Christina Kendziorski, Stephen R. Quake, Megan N. McClean
bioRxiv 179093; doi: https://doi.org/10.1101/179093
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Single-cell RNA-seq reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress
Audrey P. Gasch, Feiqiao Brian Yu, James Hose, Leah E. Escalante, Mike Place, Rhonda Bacher, Jad Kanbar, Doina Ciobanu, Laura Sandor, Igor V. Grigoriev, Christina Kendziorski, Stephen R. Quake, Megan N. McClean
bioRxiv 179093; doi: https://doi.org/10.1101/179093

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4384)
  • Biochemistry (9610)
  • Bioengineering (7104)
  • Bioinformatics (24897)
  • Biophysics (12632)
  • Cancer Biology (9974)
  • Cell Biology (14373)
  • Clinical Trials (138)
  • Developmental Biology (7966)
  • Ecology (12126)
  • Epidemiology (2067)
  • Evolutionary Biology (16002)
  • Genetics (10936)
  • Genomics (14756)
  • Immunology (9880)
  • Microbiology (23699)
  • Molecular Biology (9490)
  • Neuroscience (50925)
  • Paleontology (370)
  • Pathology (1541)
  • Pharmacology and Toxicology (2687)
  • Physiology (4023)
  • Plant Biology (8674)
  • Scientific Communication and Education (1512)
  • Synthetic Biology (2402)
  • Systems Biology (6444)
  • Zoology (1346)