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  Consistency analysis of metabolic correlation networks

Mueller-Linow, M., Weckwerth, W., & Huett, M. T. (2007). Consistency analysis of metabolic correlation networks. BMC Systems Biology, 1, 44. doi:10.1186/1752-0509-1-44.

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Mueller-Linow, M.1, Author
Weckwerth, W.2, Author              
Huett, M. T.1, Author
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1External Organizations, ou_persistent22              
2Integrative Proteomics and Metabolomics, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753334              

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Free keywords: biological interpretation pattern-recognition escherichia-coli pathway analysis systems biology basic concepts organization alignment world
 Abstract: Background: Metabolic correlation networks are derived from the covariance of metabolites in replicates of metabolomics experiments. They constitute an interesting intermediate between topology (i.e. the system's architecture defined by the set of reactions between metabolites) and dynamics (i.e. the metabolic concentrations observed as fluctuations around steady-state values in the metabolic network). Results: Here we analyze, how such a correlation network changes over time, and compare the relative positions of metabolites in the correlation networks with those in established metabolic networks derived from genome databases. We find that network similarity indeed decreases with an increasing time difference between these networks during a day/night course and, counter intuitively, that proximity of metabolites in the correlation network is no indicator of proximity of the metabolites in the metabolic network. Conclusion: The organizing principles of correlation networks are distinct from those of metabolic reaction maps. Time courses of correlation networks may in the future prove an important data source for understanding these organizing principles.

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Language(s): eng - English
 Dates: 2007-09-242007
 Publication Status: Published in print
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 Identifiers: ISI: ISI:000250874200001
DOI: 10.1186/1752-0509-1-44
ISSN: 1752-0509 (Electronic) 1752-0509 (Linking)
URI: ://000250874200001 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2077335/pdf/1752-0509-1-44.pdf?tool=pmcentrez
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Title: BMC Systems Biology
Source Genre: Journal
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Pages: - Volume / Issue: 1 Sequence Number: - Start / End Page: 44 Identifier: -