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PMID: 16772265 Published · ppublish English Journal Article Review

Review: on the analysis and interpretation of correlations in metabolomic data.

Briefings in bioinformatics ·Vol. 7 ·No. 2 ·2006-06-00 ·Pages 151-8

Steuer R

Abstract

A remarkable inherent feature of cellular metabolism is that the concentrations of a small but significant number of metabolites are strongly correlated when measurements of biological replicates are performed. This review seeks to summarize the recent efforts to elucidate the origin of these observed correlations and points out several aspects concerning their interpretation. It is argued that correlations between metabolites differ profoundly from their transcriptomic and proteomic counterparts, and a straightforward interpretation in terms of the underlying biochemical pathways will unavoidably fail. It is demonstrated that the comparative correlations analysis offers a way to exploit the observed correlations to obtain additional information about the physiological state of the system.

MeSH Terms
Animals Cell Physiological Phenomena Computational Biology/methods,trends Databases, Protein Gene Expression Profiling/methods,trends Gene Expression Regulation/physiology Humans Metabolism/physiology Models, Biological Proteome/metabolism Proteomics/methods,trends Signal Transduction/physiology Statistics as Topic
Chemicals
Proteome
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Steuer Ralf
University Potsdam, Insitute of Physics, Am Neuen Palais 10, Haus 19, 14469 Potsdam, Germany. [email protected]
Article Info
Journal
Briefings in bioinformatics
Abbr.
Brief Bioinform
ISSN
1467-5463
Published
2006-06-00
Epub
2006-00-11
Pages
151-8
Language
English
Region
England
NLM ID
100912837
Subset
IM
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