Literature DB >> 19236023

Cross-platform comparison of methods for quantitative metabolomics of primary metabolism.

Jörg Martin Büscher1, Dominika Czernik, Jennifer Christina Ewald, Uwe Sauer, Nicola Zamboni.   

Abstract

Quantitative metabolomics is under intense development, and no commonly accepted standard analytical technique has emerged, yet. The employed analytical methods were mostly chosen based on educated guesses. So far, there has been no systematic cross-platform comparison of different separation and detection methods for quantitative metabolomics. Generally, the chromatographic separation of metabolites followed by their selective detection in a mass spectrometer (MS) is the most promising approach in terms of sensitivity and separation power. Using a defined mixture of 91 metabolites (covering glycolysis, pentose phosphate pathway, the tricarboxylic acid (TCA) cycle, redox metabolism, amino acids, and nucleotides), we compared six separation methods designed for the analysis of these mostly very polar primary metabolites, two methods each for gas chromatography (GC), liquid chromatography (LC), and capillary electrophoresis (CE). For analyses on a single platform, LC provides the best combination of both versatility and robustness. If a second platform can be used, it is best complemented by GC. Only liquid-phase separation systems can handle large polar metabolites, such as those containing multiple phosphate groups. As assessed by supplementing the defined mixture with (13)C-labeled yeast extracts, matrix effects are a common phenomenon on all platforms. Therefore, suitable internal standards, such as (13)C-labeled biomass extracts, are mandatory for quantitative metabolomics with any methods.

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Year:  2009        PMID: 19236023     DOI: 10.1021/ac8022857

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


  76 in total

1.  Metabolomic analysis via reversed-phase ion-pairing liquid chromatography coupled to a stand alone orbitrap mass spectrometer.

Authors:  Wenyun Lu; Michelle F Clasquin; Eugene Melamud; Daniel Amador-Noguez; Amy A Caudy; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2010-04-15       Impact factor: 6.986

2.  Thermodynamic calculations for biochemical transport and reaction processes in metabolic networks.

Authors:  Stefan J Jol; Anne Kümmel; Vassily Hatzimanikatis; Daniel A Beard; Matthias Heinemann
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

3.  Impact of storage conditions on metabolite profiles of sputum samples from persons with cystic fibrosis.

Authors:  Jiangchao Zhao; Charles R Evans; Lisa A Carmody; John J LiPuma
Journal:  J Cyst Fibros       Date:  2015-02-26       Impact factor: 5.482

4.  Identification of urinary biomarkers of colon inflammation in IL10-/- mice using Short-Column LCMS metabolomics.

Authors:  Don Otter; Mingshu Cao; Hui-Ming Lin; Karl Fraser; Shelley Edmunds; Geoff Lane; Daryl Rowan
Journal:  J Biomed Biotechnol       Date:  2010-12-06

5.  Nitrogen source activates TOR (target of rapamycin) complex 1 via glutamine and independently of Gtr/Rag proteins.

Authors:  Daniele Stracka; Szymon Jozefczuk; Florian Rudroff; Uwe Sauer; Michael N Hall
Journal:  J Biol Chem       Date:  2014-07-25       Impact factor: 5.157

Review 6.  Mass spectrometry strategies in metabolomics.

Authors:  Zhentian Lei; David V Huhman; Lloyd W Sumner
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

7.  The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies.

Authors:  Meera Shanmuganathan; Zachary Kroezen; Biban Gill; Sandi Azab; Russell J de Souza; Koon K Teo; Stephanie Atkinson; Padmaja Subbarao; Dipika Desai; Sonia S Anand; Philip Britz-McKibbin
Journal:  Nat Protoc       Date:  2021-03-05       Impact factor: 13.491

Review 8.  Metabolomic Studies in Drosophila.

Authors:  James E Cox; Carl S Thummel; Jason M Tennessen
Journal:  Genetics       Date:  2017-07       Impact factor: 4.562

9.  Technical Challenges in Mass Spectrometry-Based Metabolomics.

Authors:  Fumio Matsuda
Journal:  Mass Spectrom (Tokyo)       Date:  2016-11-25

10.  Tradeoff between enzyme and metabolite efficiency maintains metabolic homeostasis upon perturbations in enzyme capacity.

Authors:  Sarah-Maria Fendt; Joerg Martin Buescher; Florian Rudroff; Paola Picotti; Nicola Zamboni; Uwe Sauer
Journal:  Mol Syst Biol       Date:  2010-04-13       Impact factor: 11.429

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