systematic applications of metabolomics in metabolic engineering系统的代谢组学在代谢工程中的应用.pdfVIP

Metabolites 2012, 2, 1090-1122; doi:10.3390/metabo2041090 OPEN ACCESS metabolites ISSN 2218-1989 /journal/metabolites/ Review Systematic Applications of Metabolomics in Metabolic Engineering Robert A. Dromms 1 and Mark P. Styczynski 1,2,* 1 School of Chemical Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA 30332, USA 2 Institute for Bioengineering Bioscience, Georgia Institute of Technology, 315 Ferst Dr. NW, Atlanta, GA 30332, USA * Author to whom correspondence should be addressed; E-Mail: mark.styczynski@; Tel.: +1-404-894-2825. Received: 1 November 2012; in revised form: 29 November 2012 / Accepted: 10 December 2012 / Published: 14 December 2012 Abstract: The goals of metabolic engineering are well-served by the biological information provided by metabolomics: information on how the cell is currently using its biochemical resources is perhaps one of the best ways to inform strategies to engineer a cell to produce a target compound. Using the analysis of extracellular or intracellular levels of the target compound (or a few closely related molecules) to drive metabolic engineering is quite common. However, there is surprisingly little systematic use of metabolomics datasets, which simultaneously measure hundreds of metabolites rather than just a few, for that same purpose. Here, we review the most common systematic approaches to integrating metabolite data with metabolic engineering, with emphasis on existing efforts to use