Evidence map›Paper›PMID 36829151›Full record

ArticleBMC genomics2023

Transcriptomic changes in single yeast cells under various stress conditions.

Yangqi Su, Chen Xu, Jonathan Shea, Darla DeStephanis, Zhengchang Su

Abstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. RiboScreenBiomedicines · 2026
    Review
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  5. Article
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  7. Article
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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

5 authors.

Yangqi SuDepartment of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 28223, Charlotte, NC, USA.
Chen XuDepartment of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 28223, Charlotte, NC, USA.
Jonathan SheaDepartment of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 28223, Charlotte, NC, USA.
Darla DeStephanisDepartment of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 28223, Charlotte, NC, USA.
Zhengchang SuDepartment of Bioinformatics and Genomics, The University of North Carolina at Charlotte, 28223, Charlotte, NC, USA. zcsu@uncc.edu.

Funding

Understanding the complexity of the transcriptomes in E. coli K12R01GM106013 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI SU, ZHENGCHANG · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM106013NIH HHS R01GM106013
6 · The paper itself

Abstract

backgroundThe 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.

resultsWe 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.

conclusionOur 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.

Indexed as

Saccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsGene Expression ProfilingTranscription FactorsTranscriptomeSaccharomyces cerevisiae ProteinsTranscription FactorsGene regulatory networksRNA-seqSingle cellStress responseYeast

Identifiers

PMID36829151
PMCPMC9960639

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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.