Evidence map›Paper›PMID 27211858›Full record

ArticleCell systems2016

A Genome-Scale Database and Reconstruction of Caenorhabditis elegans Metabolism.

Juliane Gebauer, Christoph Gentsch, Johannes Mansfeld, Kathrin Schmeißer, Silvio Waschina, Susanne Brandes, Lukas Klimmasch, Nicola Zamboni, Kim Zarse, Stefan Schuster and 3 more

Abstract read
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In one paragraph

Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Quo VadisMetabolites · 2021
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. The Inducible Response of the NematodeFrontiers in microbiology · 2019
    Article
  13. Article
  14. IsGenes & nutrition · 2019
    Article
  15. Review
  16. Article
  17. Review
  18. Non-enzymatic molecular damage as a prototypic driver of aging.The Journal of biological chemistry · 2017
    Review
  19. Metabolic network modeling with model organisms.Current opinion in chemical biology · 2017
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Juliane GebauerResearch Group Theoretical Systems Biology, Friedrich Schiller-University (FSU) Jena, 07745 Jena, Germany; Department of Bioinformatics, Friedrich Schiller-University (FSU) Jena, 07743 Jena, Germany.
Christoph GentschResearch Group Theoretical Systems Biology, Friedrich Schiller-University (FSU) Jena, 07745 Jena, Germany.
Johannes MansfeldDepartment of Human Nutrition, Friedrich Schiller-University Jena (FSU), 07743 Jena, Germany; Energy Metabolism Laboratory, Swiss Federal Institute of Technology (ETH) Zürich, 8003 Zürich, Switzerland.
Kathrin SchmeißerDepartment of Human Nutrition, Friedrich Schiller-University Jena (FSU), 07743 Jena, Germany.
Silvio WaschinaResearch Group Theoretical Systems Biology, Friedrich Schiller-University (FSU) Jena, 07745 Jena, Germany; Research Group Medical Systems Biology, Christian-Albrechts-University Kiel, 24105 Kiel, Germany.
Susanne BrandesDepartment of Bioinformatics, Friedrich Schiller-University (FSU) Jena, 07743 Jena, Germany; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, 07745Jena, Germany.
Lukas KlimmaschDepartment of Bioinformatics, Friedrich Schiller-University (FSU) Jena, 07743 Jena, Germany.
Nicola ZamboniInstitute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zürich, 8093 Zürich, Switzerland.
Kim ZarseDepartment of Human Nutrition, Friedrich Schiller-University Jena (FSU), 07743 Jena, Germany; Energy Metabolism Laboratory, Swiss Federal Institute of Technology (ETH) Zürich, 8003 Zürich, Switzerland.
Stefan SchusterDepartment of Bioinformatics, Friedrich Schiller-University (FSU) Jena, 07743 Jena, Germany.
Michael RistowDepartment of Human Nutrition, Friedrich Schiller-University Jena (FSU), 07743 Jena, Germany; Energy Metabolism Laboratory, Swiss Federal Institute of Technology (ETH) Zürich, 8003 Zürich, Switzerland.
Sascha SchäubleResearch Group Theoretical Systems Biology, Friedrich Schiller-University (FSU) Jena, 07745 Jena, Germany; Jena University Language and Information Engineering Lab, Friedrich Schiller-University (FSU) Jena, 07743 Jena, Germany.
Christoph KaletaResearch Group Medical Systems Biology, Christian-Albrechts-University Kiel, 24105 Kiel, Germany; Research Group Theoretical Systems Biology, Friedrich Schiller-University (FSU) Jena, 07745 Jena, Germany. Electronic address: c.kaleta@iem.uni-kiel.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a genome-scale model of Caenorhabditis elegans metabolism along with the public database ElegCyc (http://elegcyc.bioinf.uni-jena.de:1100), which represents a reference for metabolic pathways in the worm and allows for the visualization as well as analysis of omics datasets. Our model reflects the metabolic peculiarities of C. elegans that make it distinct from other higher eukaryotes and mammals, including mice and humans. We experimentally verify one of these peculiarities by showing that the lifespan-extending effect of L-tryptophan supplementation is dose dependent (hormetic). Finally, we show the utility of our model for analyzing omics datasets through predicting changes in amino acid concentrations after genetic perturbations and analyzing metabolic changes during normal aging as well as during two distinct, reactive oxygen species (ROS)-related lifespan-extending treatments. Our analyses reveal a notable similarity in metabolic adaptation between distinct lifespan-extending interventions and point to key pathways affecting lifespan in nematodes.

Indexed as

Caenorhabditis elegansDatabases, GeneticAnimalsCaenorhabditis elegans ProteinsGenomeHormesisHumansLongevityMiceReactive Oxygen SpeciesCaenorhabditis elegans ProteinsReactive Oxygen Species

Identifiers

What OpenQuestion holds

Textmetadata
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.