Evidence map›Paper›PMID 19478804›Full record

ArticleNature protocols2009

(13)C-based metabolic flux analysis.

Nicola Zamboni, Sarah-Maria Fendt, Martin Rühl, Uwe Sauer

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers.

0numbers the graph read from it
0cells of the map it votes in
239citing 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

239 citing papers in PubMed.

  1. Article
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  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. PositionalThe New phytologist · 2025
    Article
  14. Article
  15. Metabolic engineering communications · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

179 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

4 authors.

Nicola ZamboniInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Sarah-Maria Fendt
Martin Rühl
Uwe Sauer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable isotope, and in particular (13)C-based flux analysis, is the exclusive approach to experimentally quantify the integrated responses of metabolic networks. Here we describe a protocol that is based on growing microbes on (13)C-labeled glucose and subsequent gas chromatography mass spectrometric detection of (13)C-patterns in protein-bound amino acids. Relying on publicly available software packages, we then describe two complementary mathematical approaches to estimate either local ratios of converging fluxes or absolute fluxes through different pathways. As amino acids in cell protein are abundant and stable, this protocol requires a minimum of equipment and analytical expertise. Most other flux methods are variants of the principles presented here. A true alternative is the analytically more demanding dynamic flux analysis that relies on (13)C-pattern in free intracellular metabolites. The presented protocols take 5-10 d, have been used extensively in the past decade and are exemplified here for the central metabolism of Escherichia coli.

Indexed as

Carbon IsotopesMetabolic Networks and PathwaysAmino AcidsEscherichia coliEscherichia coli ProteinsGas Chromatography-Mass SpectrometryGlucoseMetabolomicsModels, BiologicalAmino AcidsCarbon IsotopesEscherichia coli ProteinsGlucose

Identifiers

PMID19478804

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.