Bioinformatics Vol. 16 no. 11 2000
Pages 1023-1037
© 2000 Oxford University Press
Computing with Genetic Networks |
Biochemical systems analysis of genome-wide expression data
1 Department of Biometry and Epidemiology, 135 Rutledge Avenue, Medical University of South Carolina, Charleston, SC 29425, USA
Received on November 17, 1999
; revised on April 6, 2000
; accepted on May 23, 2000
Motivation: Modern methods of genomics have produced an unprecedented amount of raw data. The interpretation and explanation of these data constitute a major, well-recognized challenge.
Results: Biochemical Systems Theory (BST) is the mathematical basis of a well-established methodological framework for analyzing networks of biochemical reactions. An existing BST model of yeast glycolysis is used here to explain and interpret the glycolytic gene expression pattern of heat shocked yeast. Our analysis demonstrates that the observed gene expression profile satisfies the primary goals of increased ATP, trehalose, and NADPH production, while maintaining intermediate metabolites at reasonable levels. Based on a systematic exploration of alternative, hypothetical expression profiles, we show that the observed profile outperforms other profiles.
Conclusion: BST is a useful framework for combining DNA microarray data with enzymatic process information to yield new insights into metabolic pathway regulation.
Availability: All analyses were executed with the software PLAS©, which is freely available at http://correio.cc.fc.ul.pt/~aenf/plas.html for academic use.
Contact: VoitEO{at}MUSC.edu
To whom correspondence should be addressed.
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