Literature DB >> 15801734

Liquid chromatography-mass spectrometry and 15N metabolic labeling for quantitative metabolic profiling.

Alexandra Lafaye1, Jean Labarre, Jean-Claude Tabet, Eric Ezan, Christophe Junot.   

Abstract

Metabolomics, i.e., the global analysis of cellular metabolites, is becoming a powerful tool for gaining insights into biological functions in the postgenomic context. However, absolute quantitation of endogenous metabolites in biological media remains an issue, and available technologies for the analysis of metabolome still lack robustness and accuracy. We describe here a new method based on liquid chromatography-mass spectrometry and (15)N uniform metabolic labeling of Saccharomyces cerevisiae for accurate and absolute quantitation of nitrogen-containing cell metabolites in metabolic profiling experiments. As a proof of concept study, eight sulfur metabolites involved in the glutathione biosynthesis pathway (i.e., cysteine, homocysteine, methionine, gamma-glutamylcysteine, cystathionine, reduced and oxidized forms of glutathione, and S-adenosylhomocysteine) were simultaneously quantified. The analytical method has been validated by studies of stability, selectivity, precision, and linearity and by the determination of the limits of detection and quantification. It was then applied to the analysis of extracts from cadmium-treated yeasts. In these conditions, the intracellular concentrations of most of the metabolites involved in the glutathione biosynthesis pathway were increased when compared to control extracts. These data correlate with previous proteomic results and also underline the importance of glutathione in cadmium detoxication.

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Year:  2005        PMID: 15801734     DOI: 10.1021/ac048657g

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  9 in total

1.  Effect of decreasing column inner diameter and use of off-line two-dimensional chromatography on metabolite detection in complex mixtures.

Authors:  James L Edwards; Rachel L Edwards; Kendra R Reid; Robert T Kennedy
Journal:  J Chromatogr A       Date:  2007-10-10       Impact factor: 4.759

2.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

3.  A direct comparison of methods used to measure oxidized glutathione in biological samples: 2-vinylpyridine and N-ethylmaleimide.

Authors:  Mitchell R Mcgill; Hartmut Jaeschke
Journal:  Toxicol Mech Methods       Date:  2015-10-13       Impact factor: 2.987

4.  Glutathione revisited: a vital function in iron metabolism and ancillary role in thiol-redox control.

Authors:  Chitranshu Kumar; Aeid Igbaria; Benoît D'Autreaux; Anne-Gaëlle Planson; Christophe Junot; Emmanuel Godat; Anand K Bachhawat; Agnès Delaunay-Moisan; Michel B Toledano
Journal:  EMBO J       Date:  2011-04-08       Impact factor: 11.598

Review 5.  Mass Spectrometry in Advancement of Redox Precision Medicine.

Authors:  Xiaofei Chen; Jingyun Lee; Hanzhi Wu; Allen W Tsang; Cristina M Furdui
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 3.650

6.  Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data.

Authors:  Anne Kümmel; Sven Panke; Matthias Heinemann
Journal:  Mol Syst Biol       Date:  2006-06-20       Impact factor: 11.429

7.  Simultaneous untargeted and targeted metabolomics profiling of underivatized primary metabolites in sulfur-deficient barley by ultra-high performance liquid chromatography-quadrupole/time-of-flight mass spectrometry.

Authors:  Hikmat Ghosson; Adrián Schwarzenberg; Frank Jamois; Jean-Claude Yvin
Journal:  Plant Methods       Date:  2018-07-24       Impact factor: 4.993

8.  anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data.

Authors:  Nicola Zamboni; Anne Kümmel; Matthias Heinemann
Journal:  BMC Bioinformatics       Date:  2008-04-16       Impact factor: 3.169

Review 9.  Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.

Authors:  Abirami Ramalingam; Himabindu Kudapa; Lekha T Pazhamala; Wolfram Weckwerth; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2015-12-24       Impact factor: 5.753

  9 in total

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