Evidence map›Paper›PMID 34326354›Full record

ArticleScientific reports2021

Morpho-metabotyping the oxidative stress response.

Mate Rusz, Giorgia Del Favero, Yasin El Abiead, Christopher Gerner, Bernhard K Keppler, Michael A Jakupec, Gunda Koellensperger

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Metabolic engineering ofFrontiers in microbiology · 2026
    Article
  3. Combination ofFrontiers in nutrition · 2025
    Article
  4. Article
  5. Article
  6. Targeting ROS in cancer: rationale and strategies.Nature reviews. Drug discovery · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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

7 authors.

Mate RuszInstitute of Analytical Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.ORCID 0000-0002-8191-2719
Giorgia Del FaveroDepartment of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Währinger Straße 38-40, 1090, Vienna, Austria.ORCID 0000-0001-8633-5458
Yasin El AbieadInstitute of Analytical Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.ORCID 0000-0003-4392-7706
Christopher GernerInstitute of Analytical Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.
Bernhard K KepplerInstitute of Inorganic Chemistry, University of Vienna, Währinger Str. 42, 1090, Vienna, Austria.
Michael A JakupecInstitute of Inorganic Chemistry, University of Vienna, Währinger Str. 42, 1090, Vienna, Austria.ORCID 0000-0001-7945-1426
Gunda KoellenspergerInstitute of Analytical Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria. gunda.koellensperger@univie.ac.at.ORCID 0000-0002-1460-4919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress and reactive oxygen species (ROS) are central to many physiological and pathophysiological processes. However, due to multiple technical challenges, it is hard to capture a comprehensive readout of the cell, involving both biochemical and functional status. We addressed this problem by developing a fully parallelized workflow for metabolomics (providing absolute quantities for > 100 metabolites including TCA cycle, pentose phosphate pathway, purine metabolism, glutathione metabolism, cysteine and methionine metabolism, glycolysis and gluconeogenesis) and live cell imaging microscopy. The correlative imaging strategy was applied to study morphological and metabolic adaptation of cancer cells upon short-term hydrogen peroxide (H

Identifiers

PMID34326354
PMCPMC8322264

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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.