Literature DB >> 19615328

A method for enzyme quenching in microbial metabolome analysis successfully applied to gram-positive and gram-negative bacteria and yeast.

Jana Spura1, Lorenz Christian Reimer, Patricia Wieloch, Kerstin Schreiber, Sebastian Buchinger, Dietmar Schomburg.   

Abstract

Although microbial metabolome analysis has now become a widely used method, no generally applicable quenching method has been published so far. Either the methods were established for only one defined organism or the metabolite coverage was quite low. In the current work, a novel, reliable, and robust quenching method for different types of organisms is described. Compared with the commonly used quenching procedure with 60% methanol (-50 degrees C), we obtained improved results for three examined organisms with different cell wall and membrane structures using a 40% ethanol/0.8% sodium chloride solution (-20 degrees C). Increased metabolite levels were achieved for 60-80% of all identified compounds. Moreover, the estimated standard error of the relative concentrations of 120-160 different substances was only 14+/-4% compared with 17+/-3% in unquenched samples and 24+/-7% in samples quenched with methanol for the different tested organisms.

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Year:  2009        PMID: 19615328     DOI: 10.1016/j.ab.2009.07.016

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  15 in total

1.  Nutrients drive transcriptional changes that maintain metabolic homeostasis but alter genome architecture in Microcystis.

Authors:  Morgan M Steffen; Stephen P Dearth; Brian D Dill; Zhou Li; Kristen M Larsen; Shawn R Campagna; Steven W Wilhelm
Journal:  ISME J       Date:  2014-05-23       Impact factor: 10.302

2.  Optimization of the quenching method for metabolomics analysis of Lactobacillus bulgaricus.

Authors:  Ming-ming Chen; Ai-li Li; Mao-cheng Sun; Zhen Feng; Xiang-chen Meng; Ying Wang
Journal:  J Zhejiang Univ Sci B       Date:  2014-04       Impact factor: 3.066

3.  Optimization of cold methanol quenching for quantitative metabolomics of Penicillium chrysogenum.

Authors:  Lodewijk P de Jonge; Rutger D Douma; Joseph J Heijnen; Walter M van Gulik
Journal:  Metabolomics       Date:  2011-10-07       Impact factor: 4.290

4.  Rationales and approaches for studying metabolism in eukaryotic microalgae.

Authors:  Daniel Veyel; Alexander Erban; Ines Fehrle; Joachim Kopka; Michael Schroda
Journal:  Metabolites       Date:  2014-04-11

5.  Homeostasis of metabolites in Escherichia coli on transition from anaerobic to aerobic conditions and the transient secretion of pyruvate.

Authors:  Nur Adeela Yasid; Matthew D Rolfe; Jeffrey Green; Mike P Williamson
Journal:  R Soc Open Sci       Date:  2016-08-24       Impact factor: 2.963

6.  Optimization of Metabolite Extraction Protocols for the Identification and Profiling of Small Molecule Metabolites from Planktonic and Biofilm Pseudomonas aeruginosa Cultures.

Authors:  Amanda Fuchs; Brian P Tripet; Mary Cloud B Ammons; Valérie Copié
Journal:  Curr Metabolomics       Date:  2016-06-30

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

Authors:  Kristina B Jäpelt; Jan H Christensen; Silas G Villas-Bôas
Journal:  Microb Cell Fact       Date:  2015-09-04       Impact factor: 5.328

8.  Methodological approaches to help unravel the intracellular metabolome of Bacillus subtilis.

Authors:  Hanna Meyer; Hendrikje Weidmann; Michael Lalk
Journal:  Microb Cell Fact       Date:  2013-07-11       Impact factor: 5.328

9.  Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors.

Authors:  April M Miguez; Monica P McNerney; Mark P Styczynski
Journal:  Front Microbiol       Date:  2018-05-03       Impact factor: 5.640

10.  Proteomic and metabolomic analysis of the cellular biomarkers related to inhibitors tolerance in Zymomonas mobilis ZM4.

Authors:  Dongdong Chang; Zhisheng Yu; Zia Ul Islam; W Todd French; Yiming Zhang; Hongxun Zhang
Journal:  Biotechnol Biofuels       Date:  2018-10-16       Impact factor: 6.040

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