Metabolite profiling studies in Saccharomyces cerevisiae: An assisting tool to prioritize host targets for antiviral drug screening

Schneider, Konstantin, Kromer, Jens Olaf, Wittmann, Christoph, Alves-Rodrigues, Isabel, Meyerhans, Andreas, Diez, Juana and Heinzle, Elmar (2009) Metabolite profiling studies in Saccharomyces cerevisiae: An assisting tool to prioritize host targets for antiviral drug screening. Microbial Cell Factories, 8 Article number 12: 12-1-12-14. doi:10.1186/1475-2859-8-12


Author Schneider, Konstantin
Kromer, Jens Olaf
Wittmann, Christoph
Alves-Rodrigues, Isabel
Meyerhans, Andreas
Diez, Juana
Heinzle, Elmar
Title Metabolite profiling studies in Saccharomyces cerevisiae: An assisting tool to prioritize host targets for antiviral drug screening
Formatted title
Metabolite profiling studies in Saccharomyces cerevisiae: An assisting tool to prioritize host targets for antiviral drug screening
Journal name Microbial Cell Factories   Check publisher's open access policy
ISSN 1475-2859
Publication date 2009-01-30
Year available 2009
Sub-type Article (original research)
DOI 10.1186/1475-2859-8-12
Open Access Status DOI
Volume 8
Issue Article number 12
Start page 12-1
End page 12-14
Total pages 14
Editor Antonio Villaverde
Place of publication United Kingdom
Publisher BioMed Central
Collection year 2010
Language eng
Subject 060101 Analytical Biochemistry
060104 Cell Metabolism
060114 Systems Biology
Formatted abstract
Background:
The cellular proteins Pat1p, Lsm1p, and Dhh1p are required for the replication of some positive-strand viruses and therefore are potential targets for new antiviral drugs. To prioritize host targets for antiviral drug screening a comparative metabolome analysis in Saccharomyces cerevisiae reference strain BY4742 Matα his3Δ1 leu2Δ0 lys2Δ0 ura3Δ0 and deletion strains pat1Δ, lsm1Δ and dhh1Δ was performed.

Results
:
GC/MS analysis permitted the quantification of 47 polar metabolites and the identification of 41 of them. Metabolites with significant variation between the strains were identified using partial least squares to latent structures discriminate analysis (PLS-DA). The analysis revealed least differences of pat1Δ to the reference strain as characterized by Euclidian distance of normalized peak areas. The growth rate and specific production rates of ethanol and glycerol were also most similar with this strain.

Conclusion
:
From these results we hypothesize that the human analog of yeast Pat1p is most
likely the best drug target candidate.
© 2009 Schneider et al; licensee BioMed Central Ltd.
Keyword Intracellular amino-acids
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article no. 12, pdf 1-14.

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
Australian Institute for Bioengineering and Nanotechnology Publications
 
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Created: Thu, 03 Sep 2009, 08:26:49 EST by Mr Andrew Martlew on behalf of Aust Institute for Bioengineering & Nanotechnology