Literature DB >> 18497891

Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry.

Oliver Fiehn1.   

Abstract

Gas chromatography coupled to mass spectrometry (GC-MS) is one of the most frequently used tools for profiling primary metabolites. Instruments are mature enough to run large sequences of samples; novel advancements increase the breadth of compounds that can be analyzed, and improved algorithms and databases are employed to capture and utilize biologically relevant information. Around half the published reports on metabolite profiling by GC-MS focus on biological problems rather than on methodological advances. Applications span from comprehensive analysis of volatiles to assessment of metabolic fluxes for bioengineering. Method improvements emphasize extraction procedures, evaluations of quality control of GC-MS in comparison to other techniques and approaches to data processing. Two major challenges remain: rapid annotation of unknown peaks; and, integration of biological background knowledge aiding data interpretation.

Year:  2008        PMID: 18497891      PMCID: PMC2394193          DOI: 10.1016/j.trac.2008.01.007

Source DB:  PubMed          Journal:  Trends Analyt Chem        ISSN: 0165-9936            Impact factor:   12.296


  44 in total

1.  Analysis of volatile organic compounds in human urine by headspace gas chromatography-mass spectrometry with a multipurpose sampler.

Authors:  H G Wahl; A Hoffmann; D Luft; H M Liebich
Journal:  J Chromatogr A       Date:  1999-06-25       Impact factor: 4.759

2.  Quantitative metabolic profiling of urinary organic acids by gas chromatography-mass spectrometry: comparison of isolation methods.

Authors:  J A Thompson; S P Markey
Journal:  Anal Chem       Date:  1975-07       Impact factor: 6.986

3.  Metabolomics: quantification of intracellular metabolite dynamics.

Authors:  Arne Buchholz; Jochen Hurlebaus; Christian Wandrey; Ralf Takors
Journal:  Biomol Eng       Date:  2002-06

Review 4.  Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS.

Authors:  John M Halket; Daniel Waterman; Anna M Przyborowska; Raj K P Patel; Paul D Fraser; Peter M Bramley
Journal:  J Exp Bot       Date:  2004-12-23       Impact factor: 6.992

5.  Controlled protein precipitation in combination with chip-based nanospray infusion mass spectrometry. An approach for metabolomics profiling of plasma.

Authors:  K Olaf Boernsen; Stephan Gatzek; Georges Imbert
Journal:  Anal Chem       Date:  2005-11-15       Impact factor: 6.986

6.  Integrated sampling procedure for metabolome analysis.

Authors:  Jochen Schaub; Carola Schiesling; Matthias Reuss; Michael Dauner
Journal:  Biotechnol Prog       Date:  2006 Sep-Oct

7.  Gas chromatography/flame ionisation detection mass spectrometry for the detection of endogenous urine metabolites for metabonomic studies and its use as a complementary tool to nuclear magnetic resonance spectroscopy.

Authors:  Sally-Ann Fancy; Olaf Beckonert; Gareth Darbon; Warren Yabsley; Rosalind Walley; David Baker; George L Perkins; Frank S Pullen; Klaus Rumpel
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

8.  Metabolic flux profiling of Escherichia coli mutants in central carbon metabolism using GC-MS.

Authors:  Eliane Fischer; Uwe Sauer
Journal:  Eur J Biochem       Date:  2003-03

9.  Design of experiments: an efficient strategy to identify factors influencing extraction and derivatization of Arabidopsis thaliana samples in metabolomic studies with gas chromatography/mass spectrometry.

Authors:  Jonas Gullberg; Pär Jonsson; Anders Nordström; Michael Sjöström; Thomas Moritz
Journal:  Anal Biochem       Date:  2004-08-15       Impact factor: 3.365

10.  Phenotypic characterization of glucose repression mutants of Saccharomyces cerevisiae using experiments with 13C-labelled glucose.

Authors:  Vijayendran Raghevendran; Andreas Karoly Gombert; Bjarke Christensen; Peter Kötter; Jens Nielsen
Journal:  Yeast       Date:  2004-07-15       Impact factor: 3.239

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  45 in total

1.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

2.  Identification of metabolites from liquid chromatography-coulometric array detection profiling: gas chromatography-mass spectrometry and refractionation provide essential information orthogonal to LC-MS/microNMR.

Authors:  Rose M Gathungu; Susan S Bird; Diane P Sheldon; Roger Kautz; Paul Vouros; Wayne R Matson; Bruce S Kristal
Journal:  Anal Biochem       Date:  2014-03-18       Impact factor: 3.365

3.  Metabolomics and transcriptomics identify pathway differences between visceral and subcutaneous adipose tissue in colorectal cancer patients: the ColoCare study.

Authors:  David B Liesenfeld; Dmitry Grapov; Johannes F Fahrmann; Mariam Salou; Dominique Scherer; Reka Toth; Nina Habermann; Jürgen Böhm; Petra Schrotz-King; Biljana Gigic; Martin Schneider; Alexis Ulrich; Esther Herpel; Peter Schirmacher; Oliver Fiehn; Johanna W Lampe; Cornelia M Ulrich
Journal:  Am J Clin Nutr       Date:  2015-07-08       Impact factor: 7.045

4.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Authors:  Warwick B Dunn; David Broadhurst; Paul Begley; Eva Zelena; Sue Francis-McIntyre; Nadine Anderson; Marie Brown; Joshau D Knowles; Antony Halsall; John N Haselden; Andrew W Nicholls; Ian D Wilson; Douglas B Kell; Royston Goodacre
Journal:  Nat Protoc       Date:  2011-06-30       Impact factor: 13.491

5.  Volatile compound fingerprinting of mixed-culture fermentations.

Authors:  Frank A M de Bok; Patrick W M Janssen; Jumamurat R Bayjanov; Sander Sieuwerts; Arjen Lommen; Johan E T van Hylckama Vlieg; Douwe Molenaar
Journal:  Appl Environ Microbiol       Date:  2011-07-08       Impact factor: 4.792

Review 6.  Extending biochemical databases by metabolomic surveys.

Authors:  Oliver Fiehn; Dinesh K Barupal; Tobias Kind
Journal:  J Biol Chem       Date:  2011-05-12       Impact factor: 5.157

Review 7.  Challenges in Identifying the Dark Molecules of Life.

Authors:  María Eugenia Monge; James N Dodds; Erin S Baker; Arthur S Edison; Facundo M Fernández
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2019-03-18       Impact factor: 10.745

8.  Applying in-silico retention index and mass spectra matching for identification of unknown metabolites in accurate mass GC-TOF mass spectrometry.

Authors:  Sangeeta Kumari; Doug Stevens; Tobias Kind; Carsten Denkert; Oliver Fiehn
Journal:  Anal Chem       Date:  2011-06-28       Impact factor: 6.986

9.  Insulin induces a shift in lipid and primary carbon metabolites in a model of fasting-induced insulin resistance.

Authors:  Keedrian I Olmstead; Michael R La Frano; Johannes Fahrmann; Dmitry Grapov; Jose A Viscarra; John W Newman; Oliver Fiehn; Daniel E Crocker; Fabian V Filipp; Rudy M Ortiz
Journal:  Metabolomics       Date:  2017-03-27       Impact factor: 4.290

Review 10.  Metabolomics in systems microbiology.

Authors:  Marshall Louis Reaves; Joshua D Rabinowitz
Journal:  Curr Opin Biotechnol       Date:  2010-11-01       Impact factor: 9.740

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