Evidence map›Paper›PMID 28209995›Full record

ArticleScientific reports2017

RNA-Seq-based transcriptomic and metabolomic analysis reveal stress responses and programmed cell death induced by acetic acid in Saccharomyces cerevisiae.

Yachen Dong, Jingjin Hu, Linlin Fan, Qihe Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 114 citations in OpenAlex.

  1. Acetic acid induces strain-specific metabolic adaptation ofBiotechnology reports (Amsterdam, Netherlands) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Comparative Metabolomics ofJournal of microbiology and biotechnology · 2025
    Article
  8. Transcriptional Regulation Mechanisms in Adaptively EvolvedJournal of fungi (Basel, Switzerland) · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Applied and environmental microbiology · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Investigation of the acetic acid stress response inMicrobial cell (Graz, Austria) · 2023
    Article
  17. Article
  18. Contribution ofPolish journal of microbiology · 2023
    Article
  19. Article
  20. Article
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

4 authors at 1 institution in 1 country.

Yachen DongDepartment of Food Science and Nutrition, Key Laboratory for Food Microbial Technology of Zhejiang Province, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Jingjin HuDepartment of Food Science and Nutrition, Key Laboratory for Food Microbial Technology of Zhejiang Province, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Linlin FanDepartment of Food Science and Nutrition, Key Laboratory for Food Microbial Technology of Zhejiang Province, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Qihe ChenDepartment of Food Science and Nutrition, Key Laboratory for Food Microbial Technology of Zhejiang Province, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a typical harmful inhibitor in cellulosic hydrolyzates, acetic acid not only hinders bioethanol production, but also induces cell death in Saccharomyces cerevisiae. Herein, we conducted both transcriptomic and metabolomic analyses to investigate the global responses under acetic acid stress at different stages. There were 295 up-regulated and 427 down-regulated genes identified at more than two time points during acetic acid treatment (150 mM, pH 3.0). These differentially expressed genes (DEGs) were mainly involved in intracellular homeostasis, central metabolic pathway, transcription regulation, protein folding and stabilization, ubiquitin-dependent protein catabolic process, vesicle-mediated transport, protein synthesis, MAPK signaling pathways, cell cycle, programmed cell death, etc. The interaction network of all identified DEGs was constructed to speculate the potential regulatory genes and dominant pathways in response to acetic acid. The transcriptional changes were confirmed by metabolic profiles and phenotypic analysis. Acetic acid resulted in severe acidification in both cytosol and mitochondria, which was different from the effect of extracellular pH. Additionally, the imbalance of intracellular acetylation was shown to aggravate cell death under this stress. Overall, this work provides a novel and comprehensive understanding of stress responses and programmed cell death induced by acetic acid in yeast.

Indexed as

Gene Expression Regulation, FungalAcetic AcidCell DeathCytosolGene Expression ProfilingHigh-Throughput Nucleotide SequencingHydrogen-Ion ConcentrationMetabolic Networks and PathwaysMetabolomeMitochondriaSaccharomyces cerevisiaeStress, PhysiologicalTranscriptomeAcetic Acid

Identifiers

PMID28209995
PMCPMC5314350
OpenAlexW2588053842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.