Literature DB >> 18694716

Quantitative metabolome analysis using liquid chromatography-high-resolution mass spectrometry.

Patrick Kiefer1, Jean-Charles Portais, Julia A Vorholt.   

Abstract

In this report, we introduce a liquid chromatography single-mass spectrometry method for metabolome quantification, using the LTQ Orbitrap high-resolution mass spectrometer. Analytes were separated with hydrophilic interaction liquid chromatography. At a working resolution of 30,000 (at m/z 400), the limit of detection varied from 50 fmol to 5 pmol for 25 metabolites tested. In terms of metabolite concentration, the linearity was about 2 to 3 orders of magnitude for most compounds (R(2)>0.99). To determine the accuracy of the system in complex sample matrices, the isotope dilution method was evaluated from mixtures of pure compounds and uniformly 13C-labeled cell extracts. With the application of this method, quantification was possible within single runs even when the pool sizes of individual metabolites varied from 0.13 to 55.6 microM. As a case study, intracellular concentrations of central metabolites were determined for Methylobacterium extorquens AM1 during growth on two different carbon sources, methanol and succinate. Reproducible results from technical and biological repetitions were obtained that revealed significant variations of intracellular metabolite pool sizes, depending on the carbon source. The LTQ Obitrap offers new perspectives and strategies for metabolome quantification.

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Year:  2008        PMID: 18694716     DOI: 10.1016/j.ab.2008.07.010

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


  22 in total

1.  Fast sampling method for mammalian cell metabolic analyses using liquid chromatography-mass spectrometry.

Authors:  Giuseppe Martano; Nathanaël Delmotte; Patrick Kiefer; Philipp Christen; David Kentner; Dirk Bumann; Julia A Vorholt
Journal:  Nat Protoc       Date:  2014-12-04       Impact factor: 13.491

Review 2.  Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems.

Authors:  Rahul Vijay Kapoore; Seetharaman Vaidyanathan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

3.  The ethylmalonyl-CoA pathway is used in place of the glyoxylate cycle by Methylobacterium extorquens AM1 during growth on acetate.

Authors:  Kathrin Schneider; Rémi Peyraud; Patrick Kiefer; Philipp Christen; Nathanaël Delmotte; Stéphane Massou; Jean-Charles Portais; Julia A Vorholt
Journal:  J Biol Chem       Date:  2011-11-21       Impact factor: 5.157

Review 4.  The expanding world of methylotrophic metabolism.

Authors:  Ludmila Chistoserdova; Marina G Kalyuzhnaya; Mary E Lidstrom
Journal:  Annu Rev Microbiol       Date:  2009       Impact factor: 15.500

5.  Signal processing for metagenomics: extracting information from the soup.

Authors:  Gail L Rosen; Bahrad A Sokhansanj; Robi Polikar; Mary Ann Bruns; Jacob Russell; Elaine Garbarine; Steve Essinger; Non Yok
Journal:  Curr Genomics       Date:  2009-11       Impact factor: 2.236

6.  A systems biology approach uncovers cellular strategies used by Methylobacterium extorquens AM1 during the switch from multi- to single-carbon growth.

Authors:  Elizabeth Skovran; Gregory J Crowther; Xiaofeng Guo; Song Yang; Mary E Lidstrom
Journal:  PLoS One       Date:  2010-11-24       Impact factor: 3.240

7.  Small RNA-dependent expression of secondary metabolism is controlled by Krebs cycle function in Pseudomonas fluorescens.

Authors:  Kasumi Takeuchi; Patrick Kiefer; Cornelia Reimmann; Christoph Keel; Christophe Dubuis; Joëlle Rolli; Julia A Vorholt; Dieter Haas
Journal:  J Biol Chem       Date:  2009-10-19       Impact factor: 5.157

8.  Metabolite profiling uncovers plasmid-induced cobalt limitation under methylotrophic growth conditions.

Authors:  Patrick Kiefer; Markus Buchhaupt; Philipp Christen; Björn Kaup; Jens Schrader; Julia A Vorholt
Journal:  PLoS One       Date:  2009-11-13       Impact factor: 3.240

9.  Assessment of metabolome annotation quality: a method for evaluating the false discovery rate of elemental composition searches.

Authors:  Fumio Matsuda; Yoko Shinbo; Akira Oikawa; Masami Yokota Hirai; Oliver Fiehn; Shigehiko Kanaya; Kazuki Saito
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

10.  Fast growth increases the selective advantage of a mutation arising recurrently during evolution under metal limitation.

Authors:  Hsin-Hung Chou; Julia Berthet; Christopher J Marx
Journal:  PLoS Genet       Date:  2009-09-18       Impact factor: 5.917

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