Evidence map›Paper›PMID 30963997›Full record

ArticleeLife2019

Simeon Leupold, Georg Hubmann, Athanasios Litsios, Anne C Meinema, Vakil Takhaveev, Alexandros Papagiannakis, Bastian Niebel, Georges Janssens, David Siegel, Matthias Heinemann

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Single-cell analyses identify independent aging processes that compete to determine cellular fate in budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Review
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  9. Article
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  17. Review
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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

10 authors.

Simeon Leupold *Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.ORCID 0000-0002-7186-7061
Georg Hubmann *Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.
Athanasios LitsiosMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.ORCID 0000-0003-3588-4988
Anne C MeinemaMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.ORCID 0000-0002-0002-3486
Vakil TakhaveevMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.ORCID 0000-0002-3474-5241
Alexandros PapagiannakisMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.ORCID 0000-0002-6363-804X
Bastian NiebelMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.
Georges JanssensEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Centre Groningen, Groningen, Netherlands.
David SiegelAnalytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands.
Matthias HeinemannMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, Netherlands.ORCID 0000-0002-5512-9077

Funding

European Commission 642738
6 · The paper itself

Abstract

A comprehensive description of the phenotypic changes during cellular aging is key towards unraveling its causal forces. Previously, we mapped age-related changes in the proteome and transcriptome (Janssens et al., 2015). Here, employing the same experimental procedure and model-based inference, we generate a comprehensive account of metabolic changes during the replicative life of

Indexed as

MetabolismAerobiosisFermentationMetabolic Flux AnalysisOxidative PhosphorylationSaccharomyces cerevisiaecell biologycomputational biologymetabolic fluxesmetabolic modellingmetabolomereplicative agingS. cerevisiaesystems biology

Identifiers

PMID30963997
PMCPMC6467564

What OpenQuestion holds

Textmetadata
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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.