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Updated: Jun 22, 2026

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

(13)C-based metabolic flux analysis.

Nicola Zamboni1, Sarah-Maria Fendt, Martin Rühl

  • 1Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.

Nature Protocols
|May 30, 2009
PubMed
Summary
This summary is machine-generated.

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This study presents a robust protocol for quantifying metabolic network responses using carbon-13 (13C)-labeled glucose and mass spectrometry. This method enables accurate flux analysis in microbial systems with minimal equipment.

Area of Science:

  • Metabolic Engineering
  • Systems Biology
  • Biotechnology

Background:

  • Stable isotope labeling, particularly using carbon-13 ((13)C), is essential for experimentally determining metabolic network responses.
  • Quantifying metabolic fluxes provides critical insights into cellular metabolism and pathway regulation.

Purpose of the Study:

  • To describe a practical protocol for (13)C-based metabolic flux analysis.
  • To enable the estimation of metabolic pathway fluxes using accessible analytical techniques.

Main Methods:

  • Microbial cultivation on (13)C-labeled glucose.
  • Gas chromatography-mass spectrometry (GC-MS) for detecting (13)C-labeling patterns in protein-bound amino acids.
  • Application of publicly available software for mathematical modeling to estimate flux ratios and absolute fluxes.

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Last Updated: Jun 22, 2026

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Published on: January 26, 2012

Metabolic Analysis of Drosophila melanogaster Larval and Adult Brains
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Main Results:

  • The protocol allows for the quantification of metabolic fluxes by analyzing (13)C incorporation into amino acids.
  • Two complementary mathematical approaches are presented for flux estimation.
  • The method is demonstrated for the central metabolism of Escherichia coli.

Conclusions:

  • This (13)C-labeling protocol offers a reliable and accessible method for metabolic flux analysis in microbes.
  • It requires minimal equipment and analytical expertise compared to other methods like dynamic flux analysis.
  • The protocol has been extensively validated and applied over the past decade.