Literature DB >> 18351782

Direct introduction of biological samples into a LTQ-Orbitrap hybrid mass spectrometer as a tool for fast metabolome analysis.

Geoffrey Madalinski1, Emmanuel Godat, Sandra Alves, Denis Lesage, Eric Genin, Philippe Levi, Jean Labarre, Jean-Claude Tabet, Eric Ezan, Christophe Junot.   

Abstract

We report the direct introduction of biological samples into a high-resolution mass spectrometer, the LTQ-Orbitrap, as a fast tool for metabolomic studies. A proof of concept study was performed on yeast cell extracts that were introduced into the mass spectrometer by using flow injection analysis, with an acquisition time of 3 min. Typical mass spectra contained a few thousand m/z signals, 400 of which were found to be analytically relevant (i.e., their intensity was 3-fold higher than that of the background noise and they occurred in at least 60% of the acquisition profiles under identical experimental conditions). The method was validated by studies of the matrix effect, linearity, and intra-assay precision. Accurate mass measurements in the Orbitrap discriminated between isobaric ions and also indicated the elemental composition of the ions of interest with mass errors below 5 ppm, for identification purposes. The proposed structures were then assessed by MSn experiments via the linear ion trap, together with accurate mass determination of the product ions in the Orbitrap analyzer. When applied to the study of cadmium toxicity, the method was as effective as that initially developed by using LC/ESI-MS/MS for a targeted approach. The same metabolic fingerprints were also subjected to multivariate statistical analyses. The results highlighted a reorganization of amino acid metabolism under cadmium conditions in order to increase the biosynthesis of glutathione.

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Year:  2008        PMID: 18351782     DOI: 10.1021/ac7024915

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


  11 in total

1.  Exploring metallodrug-protein interactions by mass spectrometry: comparisons between platinum coordination complexes and an organometallic ruthenium compound.

Authors:  Angela Casini; Chiara Gabbiani; Elena Michelucci; Giuseppe Pieraccini; Gloriano Moneti; Paul J Dyson; Luigi Messori
Journal:  J Biol Inorg Chem       Date:  2009-03-14       Impact factor: 3.358

Review 2.  The nephrologist of tomorrow: towards a kidney-omic future.

Authors:  Mina H Hanna; Alessandra Dalla Gassa; Gert Mayer; Gianluigi Zaza; Patrick D Brophy; Loreto Gesualdo; Francesco Pesce
Journal:  Pediatr Nephrol       Date:  2016-03-09       Impact factor: 3.714

Review 3.  Promises and pitfalls of untargeted metabolomics.

Authors:  Ilya Gertsman; Bruce A Barshop
Journal:  J Inherit Metab Dis       Date:  2018-03-13       Impact factor: 4.982

4.  SILEC: a protocol for generating and using isotopically labeled coenzyme A mass spectrometry standards.

Authors:  Sankha S Basu; Ian A Blair
Journal:  Nat Protoc       Date:  2011-12-08       Impact factor: 13.491

5.  Dug1p Is a Cys-Gly peptidase of the gamma-glutamyl cycle of Saccharomyces cerevisiae and represents a novel family of Cys-Gly peptidases.

Authors:  Hardeep Kaur; Chitranshu Kumar; Christophe Junot; Michel B Toledano; Anand K Bachhawat
Journal:  J Biol Chem       Date:  2009-04-03       Impact factor: 5.157

6.  1H NMR Metabolic Profiling of Earthworm (Eisenia fetida) Coelomic Fluid, Coelomocytes, and Tissue: Identification of a New Metabolite-Malylglutamate.

Authors:  Corey M Griffith; Preston B Williams; Luzineide W Tinoco; Meredith M Dinges; Yinsheng Wang; Cynthia K Larive
Journal:  J Proteome Res       Date:  2017-08-16       Impact factor: 4.466

7.  Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'.

Authors:  John Draper; David P Enot; David Parker; Manfred Beckmann; Stuart Snowdon; Wanchang Lin; Hassan Zubair
Journal:  BMC Bioinformatics       Date:  2009-07-21       Impact factor: 3.169

8.  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

9.  Telling metabolic stories to explore metabolomics data: a case study on the yeast response to cadmium exposure.

Authors:  Paulo Vieira Milreu; Cecilia Coimbra Klein; Ludovic Cottret; Vicente Acuña; Etienne Birmelé; Michele Borassi; Christophe Junot; Alberto Marchetti-Spaccamela; Andrea Marino; Leen Stougie; Fabien Jourdan; Pierluigi Crescenzi; Vincent Lacroix; Marie-France Sagot
Journal:  Bioinformatics       Date:  2013-10-27       Impact factor: 6.937

10.  MetExploreViz: web component for interactive metabolic network visualization.

Authors:  Maxime Chazalviel; Clément Frainay; Nathalie Poupin; Florence Vinson; Benjamin Merlet; Yoann Gloaguen; Ludovic Cottret; Fabien Jourdan
Journal:  Bioinformatics       Date:  2018-01-15       Impact factor: 6.937

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