Literature DB >> 23436493

Mammalian cell metabolomics: experimental design and sample preparation.

Zacarías León1, Juan C García-Cañaveras, María Teresa Donato, Agustín Lahoz.   

Abstract

Metabolomics represents the global assessment of metabolites in a biological sample and reports the closest information to the phenotype of the biological system under study. Mammalian cell metabolomics has emerged as a promising tool with potential applications in many biotechnology and research areas. Metabolomics workflow includes experimental design, sampling, sample processing, metabolite analysis, and data processing. Given their influence on metabolite content and biological interpretation of data, a good experimental design and the appropriate choice of a sample processing method are prerequisites for success in any metabolomic study. The use of mammalian cells in the metabolomics field involves harder sample processing methods, including metabolism quenching and metabolite extraction, as compared to the use of body fluids, although such critical issues are frequently overlooked. This review aims to overview the common experimental procedures used in mammalian cell metabolomics based on mass spectrometry, by placing special emphasis on discussing sample preparation approaches, although other aspects, such as cell metabolomics applications, culture systems, cellular models, analytical platforms, and data analysis, are also briefly covered. This review intends to be a helpful tool to assist researchers in addressing decisions when planning a metabolomics study involving the use of mammalian cells.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Mammalian cells; Mass Spectrometry; Metabolomics; Sample processing

Mesh:

Year:  2013        PMID: 23436493     DOI: 10.1002/elps.201200605

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  49 in total

Review 1.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

2.  Fast sampling method for mammalian cell metabolic analyses using liquid chromatography-mass spectrometry.

Authors:  Giuseppe Martano; Nathanaël Delmotte; Patrick Kiefer; Philipp Christen; David Kentner; Dirk Bumann; Julia A Vorholt
Journal:  Nat Protoc       Date:  2014-12-04       Impact factor: 13.491

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

4.  Mitochondrial aconitase is a key regulator of energy production for growth and protein expression in Chinese hamster ovary cells.

Authors:  Neha Dhami; Drupad K Trivedi; Royston Goodacre; David Mainwaring; David P Humphreys
Journal:  Metabolomics       Date:  2018-10-01       Impact factor: 4.290

5.  Volatile metabolomic signature of bladder cancer cell lines based on gas chromatography-mass spectrometry.

Authors:  Daniela Rodrigues; Joana Pinto; Ana Margarida Araújo; Sara Monteiro-Reis; Carmen Jerónimo; Rui Henrique; Maria de Lourdes Bastos; Paula Guedes de Pinho; Márcia Carvalho
Journal:  Metabolomics       Date:  2018-04-17       Impact factor: 4.290

Review 6.  Promises and pitfalls of untargeted metabolomics.

Authors:  Ilya Gertsman; Bruce A Barshop
Journal:  J Inherit Metab Dis       Date:  2018-03-13       Impact factor: 4.982

7.  NMR Metabolomics Analysis of Parkinson's Disease.

Authors:  Shulei Lei; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

8.  Extraction parameters for metabolomics from cultured cells.

Authors:  Zheng Ser; Xiaojing Liu; Ngoc Nu Tang; Jason W Locasale
Journal:  Anal Biochem       Date:  2015-01-19       Impact factor: 3.365

9.  Disruption of TCA Cycle and Glutamate Metabolism Identified by Metabolomics in an In Vitro Model of Amyotrophic Lateral Sclerosis.

Authors:  Charlotte Veyrat-Durebex; Philippe Corcia; Eric Piver; David Devos; Audrey Dangoumau; Flore Gouel; Patrick Vourc'h; Patrick Emond; Frédéric Laumonnier; Lydie Nadal-Desbarats; Paul H Gordon; Christian R Andres; Hélène Blasco
Journal:  Mol Neurobiol       Date:  2015-12-14       Impact factor: 5.590

10.  Optimization of Folch, Bligh-Dyer, and Matyash sample-to-extraction solvent ratios for human plasma-based lipidomics studies.

Authors:  Candice Z Ulmer; Christina M Jones; Richard A Yost; Timothy J Garrett; John A Bowden
Journal:  Anal Chim Acta       Date:  2018-08-08       Impact factor: 6.558

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