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A functional genomics approach using metabolomics and in silico pathway analysis
Author(s) -
Förster Jochen,
Gombert Andreas Karoly,
Nielsen Jens
Publication year - 2002
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.10378
Subject(s) - metabolome , metabolomics , in silico , computational biology , functional genomics , metabolite , biology , function (biology) , genomics , gene , genetics , bioinformatics , genome , biochemistry
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 . © 2002 Wiley Periodicals, Inc. Biotechnol Bioeng 79: 703–712, 2002.