Literature DB >> 22280965

Widely targeted metabolic profiling analysis of yeast central metabolites.

Hiroko Kato1, Yoshihiro Izumi, Tomohisa Hasunuma, Fumio Matsuda, Akihiko Kondo.   

Abstract

A method for a widely targeted analysis was developed for the metabolic profiling of yeast central metabolism. The widely targeted method consists of 2 analyses, namely, gas chromatography-quadrupole-mass spectrometry (GC-Q-MS) operated in selected ion monitoring mode with 25m/z channels, and liquid chromatography triple-stage quadrupole (LC-QqQ)-MS operated in multiple reaction monitoring mode. This platform was set up to identify and quantify preselected 99 compounds, including sugars, sugar phosphates, organic acids, amino acids, and cofactors. The method showed good sensitivity and a wide dynamic range. For example, limits of detection for lactate and l-phenylalanine were 1.4fmol and 2.0fmol, respectively. The dynamic ranges for GC-Q-MS analysis and LC-QqQ-MS analysis were approximately 10(2)-10(5) and 10(3)-10(4), respectively. The metabolite profiles of 2 yeast strains, YPH499 and BY4741, under glucose-fermenting conditions were compared using the developed method. Although YPH499 and BY4741 were derived from an identical experimental strain, the profiling analysis successfully revealed a variation in metabolic phenotypes among experimental yeast strains demonstrating that the widely targeted method could be a robust and useful method for the investigation of metabolic phenotypes of Saccharomyces cerevisiae.
Copyright © 2012 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22280965     DOI: 10.1016/j.jbiosc.2011.12.013

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  25 in total

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4.  Dynamic metabolic profiling of cyanobacterial glycogen biosynthesis under conditions of nitrate depletion.

Authors:  Tomohisa Hasunuma; Fumi Kikuyama; Mami Matsuda; Shimpei Aikawa; Yoshihiro Izumi; Akihiko Kondo
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6.  Novel strategy for non-targeted isotope-assisted metabolomics by means of metabolic turnover and multivariate analysis.

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7.  Molar-based targeted metabolic profiling of cyanobacterial strains with potential for biological production.

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8.  Metabolic fingerprinting of Lactobacillus paracasei: the optimal quenching strategy.

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Review 9.  Mathematical Modeling and Dynamic Simulation of Metabolic Reaction Systems Using Metabolome Time Series Data.

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Journal:  AMB Express       Date:  2016-01-14       Impact factor: 3.298

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