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

Cited 0 time in scopus
Metadata Downloads
Title
Computational identification of significantly regulated metabolic reactions by integration of data on enzyme activity and gene expression
Author(s)
H Nam; Taewoo Ryu; K Lee; S Kim; D Lee
Bibliographic Citation
BMB Reports, vol. 41, no. 8, pp. 609-614
Publication Year
2008
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.
Keyword
Enzyme activityGene expressionMetabolic reactionMetabolism regulation
ISSN
1225-8687
Publisher
South Korea
DOI
http://dx.doi.org/10.5483/BMBRep.2008.41.8.609
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
Files in This Item:
  • There are no files associated with this item.


Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.