Literature DB >> 11779111

13C isotopomer analysis of glutamate by tandem mass spectrometry.

F Mark H Jeffrey1, J Shawn Roach, Charles J Storey, A Dean Sherry, Craig R Malloy.   

Abstract

Tandem mass spectrometry allows a compound to be isolated from the rest of the sample and dissociated into smaller fragments. We show here that fragmentation of glutamate mass isotopomers yields additional mass spectral data that significantly improve the analysis of metabolic fluxes compared to full-scan mass spectrometry. In order to validate the technique, tandem and full-scan mass spectrometry were used along with (13)C NMR to analyze glutamate from rat hearts perfused with three substrate mixtures (5 mM glucose plus 5 mM [2-(13)C]acetate, 5 mM [1-(13)C]glucose plus 5 U/L insulin, and 5 mM glucose plus 1 mM [3-(13)C]pyruvate). Analysis by tandem mass spectrometry showed that the enriched substrate contributed 98 +/- 2, 53 +/- 2, and 84 +/- 7%, respectively, of acetyl-coenzyme A while the rate of anaplerotic substrate entry was 7 +/- 3, 25 +/- 8, and 16 +/- 8%. Similar results were obtained with (13)C NMR data, while values from full-scan data had higher error. We believe that this is the first use of tandem mass spectrometry to determine pathway flux using (13)C-enriched substrates. Although analysis of the citric acid cycle by NMR is simpler (and more intuitive), tandem mass spectrometry has the potential to combine high sensitivity with the high information yield previously available only by NMR. (c)2001 Elsevier Science.

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Year:  2002        PMID: 11779111     DOI: 10.1006/abio.2001.5457

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


  15 in total

Review 1.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

2.  Comprehensive metabolic modeling of multiple 13C-isotopomer data sets to study metabolism in perfused working hearts.

Authors:  Scott B Crown; Joanne K Kelleher; Rosanne Rouf; Deborah M Muoio; Maciek R Antoniewicz
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-08-05       Impact factor: 4.733

3.  Monitoring the synthesis of biomolecules using mass spectrometry.

Authors:  Masaru Miyagi; Takhar Kasumov
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

4.  Delineation of substrate selection and anaplerosis in tricarboxylic acid cycle of the heart by 13C NMR spectroscopy and mass spectrometry.

Authors:  Wei Li; Fang Bian; Priyanjana Chaudhuri; Xian Mao; Henri Brunengraber; Xin Yu
Journal:  NMR Biomed       Date:  2010-10-19       Impact factor: 4.044

5.  Low mass MS/MS fragments of protonated amino acids used for distinction of their 13C-isotopomers in metabolic studies.

Authors:  Xin Ma; Shai Dagan; Arpád Somogyi; Vicki H Wysocki; Patricia Y Scaraffia
Journal:  J Am Soc Mass Spectrom       Date:  2013-02-27       Impact factor: 3.109

6.  tcaSIM: A Simulation Program for Optimal Design of 13C Tracer Experiments for Analysis of Metabolic Flux by NMR and Mass Spectroscopy.

Authors:  Jeffry R Alger; A Dean Sherry; Craig R Malloy
Journal:  Curr Metabolomics       Date:  2018

7.  Inaccuracies in selected ion monitoring determination of isotope ratios obviated by profile acquisition: nucleotide 18O/16O measurements.

Authors:  Adam G Cassano; Benlian Wang; David R Anderson; Stephen Previs; Michael E Harris; Vernon E Anderson
Journal:  Anal Biochem       Date:  2007-04-02       Impact factor: 3.365

8.  A comparison between NMR and GCMS 13C-isotopomer analysis in cardiac metabolism.

Authors:  John C Chatham; Bertrand Bouchard; Christine Des Rosiers
Journal:  Mol Cell Biochem       Date:  2003-07       Impact factor: 3.396

9.  Rational design of ¹³C-labeling experiments for metabolic flux analysis in mammalian cells.

Authors:  Scott B Crown; Woo Suk Ahn; Maciek R Antoniewicz
Journal:  BMC Syst Biol       Date:  2012-05-16

10.  Efficient Modeling of MS/MS Data for Metabolic Flux Analysis.

Authors:  Naama Tepper; Tomer Shlomi
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

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