Evidence map›Paper›PMID 20393576›Full record

ArticleMolecular systems biology2010

Tradeoff between enzyme and metabolite efficiency maintains metabolic homeostasis upon perturbations in enzyme capacity.

Sarah-Maria Fendt, Joerg Martin Buescher, Florian Rudroff, Paola Picotti, Nicola Zamboni, Uwe Sauer

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
7.2field-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

84 citing papers in PubMed, 170 citations in OpenAlex.

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  12. Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review
  13. Article
  14. Metabolomics: Going Deeper, Going Broader, Going Further.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

24 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

6 authors at 3 institutions in 1 country.

Sarah-Maria FendtInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Joerg Martin Buescher
Florian Rudroff
Paola Picotti
Nicola Zamboni
Uwe Sauer
ETH Zurich · CHCenter for Pediatric Endocrinology Zurich · CHLife Science Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is the relationship between enzymes and metabolites, the two major constituents of metabolic networks? We propose three alternative relationships between enzyme capacity and metabolite concentration alterations based on a Michaelis-Menten kinetic; that is enzyme capacities, metabolite concentrations, or both could limit the metabolic reaction rates. These relationships imply different correlations between changes in enzyme capacity and metabolite concentration, which we tested by quantifying metabolite, transcript, and enzyme abundances upon local (single-enzyme modulation) and global (GCR2 transcription factor mutant) perturbations in Saccharomyces cerevisiae. Our results reveal an inverse relationship between fold-changes in substrate metabolites and their catalyzing enzymes. These data provide evidence for the hypothesis that reaction rates are jointly limited by enzyme capacity and metabolite concentration. Hence, alteration in one network constituent can be efficiently buffered by converse alterations in the other constituent, implying a passive mechanism to maintain metabolic homeostasis upon perturbations in enzyme capacity.

Indexed as

Models, BiologicalDown-RegulationEnzymesGene Expression ProfilingGene Expression Regulation, FungalHomeostasisMetabolic Networks and PathwaysReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSystems BiologyTranscription FactorsEnzymesGCR2 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID20393576
PMCPMC2872607
OpenAlexW2120187999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.