Literature DB >> 26446897

Analytical methodology for metabolomics study of adherent mammalian cells using NMR, GC-MS and LC-HRMS.

Blandine Madji Hounoum1, Hélène Blasco1, Lydie Nadal-Desbarats1, Binta Diémé1, Frédéric Montigny1, Christian R Andres1, Patrick Emond1, Sylvie Mavel2.   

Abstract

We developed a methodology for the analysis of intracellular metabolites using nuclear magnetic resonance spectrometry (NMR), gas-chromatography coupled with mass spectrometry (GC-MS), and liquid chromatography coupled with high resolution mass spectrometry (LC-HRMS). The main steps for analysis of adherent cells in order to recover the widest possible range of intracellular compounds are blocking metabolic activity by quenching and extraction of intracellular metabolites. We explored three protocols to quench NSC-34 cell metabolism and four different extraction methods, analyzed by NMR. On the basis of the number of metabolites extracted and their relative standard deviation (RSD) analyzed by NMR, the most reproducible protocol [quenching by MeOH at -40 °C and extraction with CH2Cl2/MeOH/H2O (3:3:2)] was used to obtain intracellular media to be analyzed by GC-MS and LC-HRMS. GC-MS analysis was optimized by three oximation procedures followed by silylation derivatization and these were compared to silylation alone. Using reversed-phase liquid chromatography (C18), four different gradients for LC-MS were compared. The analytical protocols were determined to establish the reliability and suitability of sample treatments required to achieve the correct biological analysis of untargeted mammalian cell metabolomics.

Entities:  

Keywords:  Bioanalytical methods; Cell systems/single cell analysis; Mass spectrometry/ICP-MS; NMR/ESR

Mesh:

Year:  2015        PMID: 26446897     DOI: 10.1007/s00216-015-9047-x

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  15 in total

Review 1.  Recent Advances in NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

Review 2.  Experimental design and reporting standards for metabolomics studies of mammalian cell lines.

Authors:  Sarah Hayton; Garth L Maker; Ian Mullaney; Robert D Trengove
Journal:  Cell Mol Life Sci       Date:  2017-07-01       Impact factor: 9.261

3.  The Metabolic Disturbances of Motoneurons Exposed to Glutamate.

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Journal:  Mol Neurobiol       Date:  2018-02-12       Impact factor: 5.590

4.  Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics.

Authors:  Renmeng Liu; Genwei Zhang; Mei Sun; Xiaoliang Pan; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2019-03-11       Impact factor: 6.558

5.  NSC-34 Motor Neuron-Like Cells Are Unsuitable as Experimental Model for Glutamate-Mediated Excitotoxicity.

Authors:  Blandine Madji Hounoum; Patrick Vourc'h; Romain Felix; Philippe Corcia; Franck Patin; Maxime Guéguinou; Marie Potier-Cartereau; Christophe Vandier; Cédric Raoul; Christian R Andres; Sylvie Mavel; Hélène Blasco
Journal:  Front Cell Neurosci       Date:  2016-05-09       Impact factor: 5.505

Review 6.  Applications of Fourier Transform Ion Cyclotron Resonance (FT-ICR) and Orbitrap Based High Resolution Mass Spectrometry in Metabolomics and Lipidomics.

Authors:  Manoj Ghaste; Robert Mistrik; Vladimir Shulaev
Journal:  Int J Mol Sci       Date:  2016-05-25       Impact factor: 5.923

7.  Transcriptomic and metabolomic profiles of Chinese citrus fly, Bactrocera minax (Diptera: Tephritidae), along with pupal development provide insight into diapause program.

Authors:  Jia Wang; Huan Fan; Ke-Cai Xiong; Ying-Hong Liu
Journal:  PLoS One       Date:  2017-07-12       Impact factor: 3.240

8.  Metabolomic profiling for the identification of potential biomarkers involved in a laboratory azole resistance in Candida albicans.

Authors:  Ling Li; ZeBin Liao; Yu Yang; Lei Lv; YingYing Cao; ZhenYu Zhu
Journal:  PLoS One       Date:  2018-02-02       Impact factor: 3.240

9.  Metabolomic analysis reveals the mechanism of aluminum cytotoxicity in HT-29 cells.

Authors:  Leilei Yu; Jiangping Wu; Qixiao Zhai; Fengwei Tian; Jianxin Zhao; Hao Zhang; Wei Chen
Journal:  PeerJ       Date:  2019-08-27       Impact factor: 2.984

10.  Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model.

Authors:  J B Delaye; D Lanznaster; C Veyrat-Durebex; A Fontaine; G Bacle; A Lefevre; R Hergesheimer; J C Lecron; P Vourc'h; C R Andres; F Maillot; P Corcia; P Emond; H Blasco
Journal:  Neurotherapeutics       Date:  2020-10-06       Impact factor: 7.620

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