Current Bioinformatics

Yi-Ping Phoebe Chen
Department of Computer Science and Information Technology
La Trobe University
Melbourne
Australia

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On the Potential for Integrating Gene Expression and Metabolic Flux Data

Author(s): Meric A. Ovacik, Ioannis P. Androulakis.

Abstract:

Computational strategies, that integrate genomic-level information and metabolic flux data, have improved both prediction of metabolic fluxes and metabolic network identification. Due to the tight interplay between hierarchical (transcriptional) and metabolic control it is not clear how changes in gene expression drive changes in cellular phenotypes manifested through changes in metabolic fluxes. This raises the questions to what extent a change in a metabolic flux should be attributed to changes in gene expression and/or changes in metabolite concentrations and what kind of conclusions can be drawn by comparing gene expression profiles with the associated metabolic fluxes. This review addresses issues related to modeling approaches that attempt to integrate gene expression and metabolic flux data.

Keywords: Systems biology, gene expression, metabolic flux, modeling

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Article Details

VOLUME: 3
ISSUE: 3
Year: 2008
Page: [142 - 148]
Pages: 7
DOI: 10.2174/157489308785909223
Price: $58