Enabling cell factory design through high-throughput and quantitative metabolome analysis

Michael C. Jewett, Jens Nielsen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the context of designing cell factories, it is desirable to obtain quantitative data for a large number of state variables within the cell. Metabolome analysis is an important, yet relatively unexploited tool for this purpose. The use of high-throughput metabolome analysis in metabolic engineering has been limited by the lack of global approaches to quantitatively identify large families of intracellular and extracellular metabolites. Specifically, sample preparation is still considered to be a limiting step. The diverse chemical and physical nature of metabolite structures gives rise to considerable experimental challenges in extracting diverse molecular families. We have explored six different strategies for their ability to extract a significant number of metabolite families from the yeast Saccharomyces cerevisiae. We will report a rapid, robust, and consistent method that can be applied to the identification of a large number of intracellular metabolites from this yeast. In addition, we will comment on the use of this method in a more general framework for the integration of quantitative metabolome analysis with transcriptome studies for identification of regulatory networks in yeast.

Original languageEnglish (US)
Title of host publication05AIChE
Subtitle of host publication2005 AIChE Annual Meeting and Fall Showcase, Conference Proceedings
Number of pages1
StatePublished - Dec 1 2005
Event05AIChE: 2005 AIChE Annual Meeting and Fall Showcase - Cincinnati, OH, United States
Duration: Oct 30 2005Nov 4 2005

Other

Other05AIChE: 2005 AIChE Annual Meeting and Fall Showcase
CountryUnited States
CityCincinnati, OH
Period10/30/0511/4/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Jewett, M. C., & Nielsen, J. (2005). Enabling cell factory design through high-throughput and quantitative metabolome analysis. In 05AIChE: 2005 AIChE Annual Meeting and Fall Showcase, Conference Proceedings