title: High-throughput metabolic state analysis: the missing link in integrated functional genomics of yeasts.
abstract: The lack of comparable metabolic state assays severely limits understanding the metabolic changes caused by genetic or environmental perturbations. The present study reports the application of a novel derivatization method for metabolome analysis of yeast, coupled to data-mining software that achieve comparable throughput, effort and cost compared with DNA arrays. Our sample workup method enables simultaneous metabolite measurements throughout central carbon metabolism and amino acid biosynthesis, using a standard GC-MS platform that was optimized for this purpose. As an implementation proof-of-concept, we assayed metabolite levels in two yeast strains and two different environmental conditions in the context of metabolic pathway reconstruction. We demonstrate that these differential metabolite level data distinguish among sample types, such as typical metabolic fingerprinting or footprinting. More importantly, we demonstrate that this differential metabolite level data provides insight into specific metabolic pathways and lays the groundwork for integrated transcription-metabolism studies of yeasts.
authors.affiliation: Centre for Microbial Biotechnology, Technical University of Denmark, BioCentrum-DTU, Building 223, DK-2800 Kongens Lyngby, Denmark.
authors.forename: Silas G
authors.initials: SG
authors.lastname: Villas-Bôas
authors.forename: Joel F
authors.initials: JF
authors.lastname: Moxley
authors.forename: Mats
authors.initials: M
authors.lastname: Akesson
authors.forename: Gregory
authors.initials: G
authors.lastname: Stephanopoulos
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
mesh_terms: D000332:Aerobiosis; D000596:Amino Acids / Q000096:biosynthesis*; D000693:Anaerobiosis; D002264:Carboxylic Acids / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods*; D023281:Genomics / Q000379:methods*; D009154:Mutation; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism*; D012680:Sensitivity and Specificity
chemical_list: D000596:Amino Acids; D002264:Carboxylic Acids