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Title 

Computational identification of significantly regulated metabolic reactions by integration of data on enzyme activity and gene expression

Authors 

H NamTaewoo RyuK LeeS KimD Lee

Publisher 

Korean Society for Biochemistry and Molecular Biology

Issue Date 

2008

Citation 

BMB Reports, vol. 41, no. 8, pp. 609-614

Keywords 

enzyme activitygene expressionmetabolic reactionmetabolism regulationenzymegenetic databaseenzymesmetabolic networks and pathwaysgeneticsgene expression profiling

Abstract 

The concentrations and catalytic activities of enzymes control metabolic rates. Previous studies have focused on enzyme concentrations because there are no genome-wide techniques used for the measurement of enzyme activity. We propose a method for evaluating the significance of enzyme activity by integrating metabolic network topologies and genome-wide microarray gene expression profiles. We quantified the enzymatic activity of reactions and report the 388 significant reactions in five perturbation datasets. For the 388 enzymatic reactions, we identified 70 that were significantly regulated (P-value < 0.001). Thirty-one of these reactions were part of anaerobic metabolism, 23 were part of low-pH aerobic metabolism, 8 were part of high-pH anaerobic metabolism, 3 were part of low-pH aerobic reactions, and 5 were part of high-pH anaerobic metabolism.

ISSN 

1976-6696

Link 

http://dx.doi.org/10.5483/BMBRep.2008.41.8.609

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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