Evidence map›Paper›PMID 29240790›Full record

ArticlePLoS biology2017

Single-cell RNA sequencing 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 and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 176 citations in OpenAlex.

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35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Audrey P GaschLaboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-8182-257X
Feiqiao Brian YuDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
James HoseLaboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Leah E EscalanteLaboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Mike PlaceGreat Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Rhonda BacherDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Jad KanbarDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Doina CiobanuDepartment of Energy Joint Genome Institute, Walnut Creek, California, United States of America.
Laura SandorDepartment of Energy Joint Genome Institute, Walnut Creek, California, United States of America.
Igor V GrigorievDepartment of Energy Joint Genome Institute, Walnut Creek, California, United States of America.
Christina KendziorskiDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Stephen R QuakeDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Megan N McCleanDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
University of Wisconsin–Madison · USJoint Genome Institute · USStanford University · USChan Zuckerberg Initiative (United States) · US

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
Statistical methods for spatial RNA sequencing experimentsR01GM102756 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI KENDZIORSKI, CHRISTINA · 2012 to 2024
$3.8M
Functional Genomics of Stress Defense in YeastR01GM083989 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GASCH, AUDREY · 2008 to 2016
$3.0M
Bio-Data Science Training ProgramT32LM012413 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI DEWEY, COLIN NOEL, GOULD, MICHAEL N · 2016 to 2020
$1.5M
NIGMS NIH HHS R01 GM083989NIGMS NIH HHS R01 GM102756NIGMS NIH HHS T32 GM007133NLM NIH HHS T32 LM012413
6 · The paper itself

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. To investigate this, we used single-cell RNA sequencing to quantify transcript heterogeneity in single Saccharomyces cerevisiae cells treated with and without salt stress to explore population variation and identify cellular covariates that influence the stress-responsive transcriptome. Leveraging the extensive knowledge of yeast transcriptional regulation, we uncovered significant regulatory variation in individual yeast cells, both before and after stress. We also discovered that a subset of cells appears to decouple expression of ribosomal protein genes from the environmental stress response in a manner partly correlated with the cell cycle but unrelated to the yeast ultradian metabolic cycle. Live-cell imaging of cells expressing pairs of fluorescent regulators, including the transcription factor Msn2 with Dot6, Sfp1, or MAP kinase Hog1, revealed both coordinated and decoupled nucleocytoplasmic shuttling. Together with transcriptomic analysis, our results suggest that cells maintain a cellular filter against decoupled bursts of transcription factor activation but mount a stress response upon coordinated regulation, even in a subset of unstressed cells.

Indexed as

Stress, PhysiologicalGenetic VariationRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, RNASodium ChlorideTranscription FactorsTranscriptomeRNA, MessengerSaccharomyces cerevisiae ProteinsSodium ChlorideTranscription Factors

Identifiers

PMID29240790
PMCPMC5746276
OpenAlexW2949321019

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.