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PMID: 17102807 Published · ppublish English Journal Article Review

Metabolic networks in motion: 13C-based flux analysis.

Molecular systems biology ·Vol. 2 ·2006-00-00 ·Pages 62

Sauer U

Abstract

Many properties of complex networks cannot be understood from monitoring the components--not even when comprehensively monitoring all protein or metabolite concentrations--unless such information is connected and integrated through mathematical models. The reason is that static component concentrations, albeit extremely informative, do not contain functional information per se. The functional behavior of a network emerges only through the nonlinear gene, protein, and metabolite interactions across multiple metabolic and regulatory layers. I argue here that intracellular reaction rates are the functional end points of these interactions in metabolic networks, hence are highly relevant for systems biology. Methods for experimental determination of metabolic fluxes differ fundamentally from component concentration measurements; that is, intracellular reaction rates cannot be detected directly, but must be estimated through computer model-based interpretation of stable isotope patterns in products of metabolism.

MeSH Terms
Animals Biomedical Engineering Biotechnology/methods Carbon Radioisotopes/pharmacokinetics Computer Simulation Evolution, Molecular Humans Intracellular Fluid/diagnostic imaging Metabolic Networks and Pathways/drug effects,physiology Models, Biological Radioactive Tracers Radionuclide Imaging Signal Transduction
Chemicals
Carbon Radioisotopes Radioactive Tracers
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Sauer Uwe
Institute of Molecular Systems Biology, ETH Zurich, Switzerland. [email protected]
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Article Info
Journal
Molecular systems biology
Abbr.
Mol Syst Biol
ISSN
1744-4292
Published
2006-00-00
Epub
2006-00-14
Pages
62
Language
English
Region
England
NLM ID
101235389
PMCID
PMC1682028
Subset
IM
Analysis Services
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