Literature DB >> 30176394

Sugar phosphate analysis with baseline separation and soft ionization by gas chromatography-negative chemical ionization-mass spectrometry improves flux estimation of bidirectional reactions in cancer cells.

Nobuyuki Okahashi1, Kousuke Maeda2, Shuichi Kawana3, Junko Iida4, Hiroshi Shimizu5, Fumio Matsuda6.   

Abstract

Precise measurement of sugar phosphates in glycolysis and the pentose phosphate (PP) pathway for 13C-metabolic flux analysis (13C-MFA) is needed to understand cancer-specific metabolism. Although various analytical methods have been proposed, analysis of sugar phosphates is challenging because of the structural similarity of various isomers and low intracellular abundance. In this study, gas chromatography-negative chemical ionization-mass spectrometry (GC-NCI-MS) is applied to sugar phosphate analysis with o-(2,3,4,5,6-pentafluorobenzyl) oxime (PFBO) and trimethylsilyl (TMS) derivatization. Optimization of the GC temperature gradient achieved baseline separation of sugar phosphates in 31 min. Mass spectra showed the predominant generation of fragment ions containing all carbon atoms in the sugar phosphate backbone. The limit of detection of pentose 5-phosphates and hexose 6-phosphates was 10 nM. The method was applied to 13C-labeling measurement of sugar phosphates for 13C-MFA of the MCF-7 human breast cancer cell line. 13C-labeling of sugar phosphates for 13C-MFA improved the estimation of the net flux and reversible flux of bidirectional reactions in glycolysis and the PP pathway.
Copyright © 2018 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (13)C-metabolic flux analysis; GC-MS; Negative chemical ionization; Sugar phosphate; o-(2,3,4,5,6-pentafluorobenzyl) oxime

Mesh:

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Year:  2018        PMID: 30176394     DOI: 10.1016/j.ymben.2018.08.011

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  5 in total

1.  An Arabidopsis GCMS chemical ionization technique to quantify adaptive responses in central metabolism.

Authors:  Matthew E Bergman; Sonia E Evans; Benjamin Davis; Rehma Hamid; Ibadat Bajwa; Amreetha Jayathilake; Anmol Kaur Chahal; Michael A Phillips
Journal:  Plant Physiol       Date:  2022-08-01       Impact factor: 8.005

Review 2.  Quantitative metabolic fluxes regulated by trans-omic networks.

Authors:  Satoshi Ohno; Saori Uematsu; Shinya Kuroda
Journal:  Biochem J       Date:  2022-03-31       Impact factor: 3.766

3.  Computational data mining method for isotopomer analysis in the quantitative assessment of metabolic reprogramming.

Authors:  Fumio Matsuda; Kousuke Maeda; Nobuyuki Okahashi
Journal:  Sci Rep       Date:  2020-01-14       Impact factor: 4.379

4.  Isotope Calculation Gadgets: A Series of Software for Isotope-Tracing Experiments in Garuda Platform.

Authors:  Nobuyuki Okahashi; Yuki Yamada; Junko Iida; Fumio Matsuda
Journal:  Metabolites       Date:  2022-07-14

5.  Two-step derivatization for determination of sugar phosphates in plants by combined reversed phase chromatography/tandem mass spectrometry.

Authors:  Umut Rende; Totte Niittylä; Thomas Moritz
Journal:  Plant Methods       Date:  2019-11-07       Impact factor: 4.993

  5 in total

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