A functional genomics approach using metabolomics and in silico pathway analysis |
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Authors: | Förster Jochen Gombert Andreas Karoly Nielsen Jens |
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Affiliation: | Center for Process Biotechnology, BioCentrum-DTU, Technical University of Denmark, DK-2800 Lyngby, Denmark. |
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Abstract: | In the field of functional genomics increasing effort is being undertaken to analyze the function of orphan genes using metabolome data. Improved analytical equipment allows screening simultaneously for a high number of metabolites. Such metabolite profiles are analyzed using multivariate data analysis techniques and changes in the genotype will in many cases lead to different metabolite profiles. Here, a theoretical framework that may be applied to identify the function of orphan genes is presented. The approach is based on a combination of metabolome analysis combined with in silico pathway analysis. Pathway analysis may be carried out using convex analysis and a change in the active pathway structure of deletion mutants expressed in a different metabolite profile may disclose the function or the functional class of an orphan gene. The concept is illustrated using a simplified model for growth of Saccharomyces cerevisiae. |
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Keywords: | metabolome analysis metabolomics pathway structure functional genomics convex analysis elementary flux modes Saccharomyces cerevisiae |
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