Literature DB >> 16434119

Current challenges and developments in GC-MS based metabolite profiling technology.

Joachim Kopka1.   

Abstract

Gas chromatography-mass spectrometry (GC-MS) based metabolite profiling of biological samples is one of the key technologies for metabolite profiling and substantially contributes to our understanding of the metabolome. While the technology is in increasing use it is challenged with novel demands. Increasing the number of metabolite identifications within existing profiling platforms is prerequisite for a substantially improved scope of profiling studies. Clear, reproducible strategies for metabolite identification and exchange of identifications between laboratories will facilitate further developments, such as the extension of profiling technologies towards metabolic signals and other technically demanding trace compound analysis. Using GC-MS technology as an example the concept of mass spectral tags (MSTs) is presented. A mass spectral tag is defined by the chemometric properties, molecular mass to charge ratio, chromatographic retention index and an induced mass fragmentation pattern such as an electron impact mass spectrum (EI-MS) or secondary fragmentation (MS(2)). These properties if properly documented will allow identification of hitherto non-identified MSTs by standard addition experiments of authenticated reference substances even years after first MST description. Strategies are discussed for MST identification and enhanced MST characterization utilizing experimental schemes such as in vivo stable isotope labelling of whole organisms and open access information distribution, for example the GMG internet platform initiated in 2004 (GMD, http://www.csbdb.mpimp-golm.mpg.de/gmd.html).

Mesh:

Year:  2006        PMID: 16434119     DOI: 10.1016/j.jbiotec.2005.12.012

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  32 in total

1.  Network analysis of enzyme activities and metabolite levels and their relationship to biomass in a large panel of Arabidopsis accessions.

Authors:  Ronan Sulpice; Sandra Trenkamp; Matthias Steinfath; Bjorn Usadel; Yves Gibon; Hanna Witucka-Wall; Eva-Theresa Pyl; Hendrik Tschoep; Marie Caroline Steinhauser; Manuela Guenther; Melanie Hoehne; Johann M Rohwer; Thomas Altmann; Alisdair R Fernie; Mark Stitt
Journal:  Plant Cell       Date:  2010-08-10       Impact factor: 11.277

2.  Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry peak sorting algorithm.

Authors:  Cheolhwan Oh; Xiaodong Huang; Fred E Regnier; Charles Buck; Xiang Zhang
Journal:  J Chromatogr A       Date:  2007-12-03       Impact factor: 4.759

3.  Shifts in the carbohydrate, polyol, and amino acid pools during rapid cold-hardening and diapause-associated cold-hardening in flesh flies (Sarcophaga crassipalpis): a metabolomic comparison.

Authors:  M Robert Michaud; David L Denlinger
Journal:  J Comp Physiol B       Date:  2007-06-19       Impact factor: 2.200

Review 4.  Visualization of omics data for systems biology.

Authors:  Nils Gehlenborg; Seán I O'Donoghue; Nitin S Baliga; Alexander Goesmann; Matthew A Hibbs; Hiroaki Kitano; Oliver Kohlbacher; Heiko Neuweger; Reinhard Schneider; Dan Tenenbaum; Anne-Claude Gavin
Journal:  Nat Methods       Date:  2010-03       Impact factor: 28.547

5.  Decision tree supported substructure prediction of metabolites from GC-MS profiles.

Authors:  Jan Hummel; Nadine Strehmel; Joachim Selbig; Dirk Walther; Joachim Kopka
Journal:  Metabolomics       Date:  2010-02-16       Impact factor: 4.290

6.  Predicting Arabidopsis freezing tolerance and heterosis in freezing tolerance from metabolite composition.

Authors:  Marina Korn; Tanja Gärtner; Alexander Erban; Joachim Kopka; Joachim Selbig; Dirk K Hincha
Journal:  Mol Plant       Date:  2009-12-21       Impact factor: 13.164

7.  Transcriptomic and metabolomic profiling of Zymomonas mobilis during aerobic and anaerobic fermentations.

Authors:  Shihui Yang; Timothy J Tschaplinski; Nancy L Engle; Sue L Carroll; Stanton L Martin; Brian H Davison; Anthony V Palumbo; Miguel Rodriguez; Steven D Brown
Journal:  BMC Genomics       Date:  2009-01-20       Impact factor: 3.969

8.  Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research.

Authors:  Augustin Scalbert; Lorraine Brennan; Oliver Fiehn; Thomas Hankemeier; Bruce S Kristal; Ben van Ommen; Estelle Pujos-Guillot; Elwin Verheij; David Wishart; Suzan Wopereis
Journal:  Metabolomics       Date:  2009-06-12       Impact factor: 4.290

9.  Stability of metabolic correlations under changing environmental conditions in Escherichia coli--a systems approach.

Authors:  Jedrzej Szymanski; Szymon Jozefczuk; Zoran Nikoloski; Joachim Selbig; Victoria Nikiforova; Gareth Catchpole; Lothar Willmitzer
Journal:  PLoS One       Date:  2009-10-15       Impact factor: 3.240

10.  Analysis of subcellular metabolite levels of potato tubers (Solanum tuberosum) displaying alterations in cellular or extracellular sucrose metabolism.

Authors:  Eva M Farre; Alisdair R Fernie; Lothar Willmitzer
Journal:  Metabolomics       Date:  2008-02-27       Impact factor: 4.290

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