Literature DB >> 21837464

Strategy for choosing extraction procedures for NMR-based metabolomic analysis of mammalian cells.

Estelle Martineau1, Illa Tea, Gregory Loaëc, Patrick Giraudeau, Serge Akoka.   

Abstract

Metabolomic analysis of mammalian cells can be applied across multiple fields including medicine and toxicology. It requires the acquisition of reproducible, robust, reliable, and homogeneous biological data sets. Particular attention must be paid to the efficiency and reliability of the extraction procedure. Even though a number of recent studies have dealt with optimizing a particular protocol for specific matrices and analytical techniques, there is no universal method to allow the detection of the entire cellular metabolome. Here, we present a strategy for choosing extraction procedures from adherent mammalian cells for the global NMR analysis of the metabolome. After the quenching of cells, intracellular metabolites are extracted from the cells using one of the following solvent systems of varying polarities: perchloric acid, acetonitrile/water, methanol, methanol/water, and methanol/chloroform/water. The hydrophilic metabolite profiles are analysed using (1)H nuclear magnetic resonance (NMR) spectroscopy. We propose an original geometric representation of metabolites reflecting the efficiency of extraction methods. In the case of NMR-based analysis of mammalian cells, this methodology demonstrates that a higher portion of intracellular metabolites are extracted by using methanol or methanol/chloroform/water. The preferred method is evaluated in terms of biological variability for studying metabolic changes caused by the phenotype of four different human breast cancer cell lines, showing that the selected extraction procedure is a promising tool for metabolomic and metabonomic studies of mammalian cells. The strategy proposed in this paper to compare extraction procedures is applicable to NMR-based metabolomic studies of various systems. © Springer-Verlag 2011

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Year:  2011        PMID: 21837464     DOI: 10.1007/s00216-011-5310-y

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


  22 in total

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2.  Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

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Review 3.  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

Review 4.  Analysis of bacterial biofilms using NMR-based metabolomics.

Authors:  Bo Zhang; Robert Powers
Journal:  Future Med Chem       Date:  2012-06       Impact factor: 3.808

5.  Metabolic alterations caused by the mutation and overexpression of the Tmem135 gene.

Authors:  Wei-Hua Lee; Vijesh J Bhute; Hitoshi Higuchi; Sakae Ikeda; Sean P Palecek; Akihiro Ikeda
Journal:  Exp Biol Med (Maywood)       Date:  2020-06-09

6.  NMR Metabolomics Analysis of Parkinson's Disease.

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Journal:  Curr Metabolomics       Date:  2013

Review 7.  Molecular imaging of tumors by chemical exchange saturation transfer MRI of glucose analogs.

Authors:  Michal Rivlin; Gil Navon
Journal:  Quant Imaging Med Surg       Date:  2019-10

8.  A positive/negative ion-switching, targeted mass spectrometry-based metabolomics platform for bodily fluids, cells, and fresh and fixed tissue.

Authors:  Min Yuan; Susanne B Breitkopf; Xuemei Yang; John M Asara
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

9.  Optimization of harvesting, extraction, and analytical protocols for UPLC-ESI-MS-based metabolomic analysis of adherent mammalian cancer cells.

Authors:  Huichang Bi; Kristopher W Krausz; Soumen K Manna; Fei Li; Caroline H Johnson; Frank J Gonzalez
Journal:  Anal Bioanal Chem       Date:  2013-04-19       Impact factor: 4.142

10.  Artefacts in 1H NMR-based metabolomic studies on cell cultures.

Authors:  Basetti Madhu; Madalina Dadulescu; John Griffiths
Journal:  MAGMA       Date:  2014-08-10       Impact factor: 2.310

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