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Título

GC-MS based metabolomics of colon cancer cells using different extraction solvents

AutorIbáñez, Clara CSIC; Simó, Carolina CSIC ORCID ; Palazoglu, Mine; Cifuentes, Alejandro CSIC ORCID
Palabras claveColon cancer
Sample treatment
Metabolomics
Gas chromatography-mass spectrometry
Fecha de publicación2017
EditorElsevier
CitaciónAnalytica Chimica Acta 986: 48-56 (2017)
ResumenThe increasing incidence of colorectal cancer enforces the development of novel methodologies and protocols to deepen in the molecular mechanisms that govern disease pathophysiological events. The aim of this work is to deepen in the optimum metabolite extraction protocol from adherent mammalian cells of colon cancer for high throughput metabolomics using gas chromatography coupled to mass spectrometry (GC-MS). GC-MS results showed that metabolic information obtained from colon cancer cells was highly dependent on metabolite extraction selection, which at the same time is extremely influenced by the analytical platform. A further purpose of this investigation is to uncover an unexplored portion of HT-29 colon cancer cells metabolome, complementary to other already explored by CE-MS and LC-MS methods. At this respect, a total of 150 metabolites were identified in HT-29 colon cancer cells by GC-MS. The extraction protocol with acetonitrile-isopropanol-water was the most appropriate for fatty acids and related pathways analysis. Most of the metabolites involved in pathways of amino acids, glutathione, amino sugars and other polar metabolites were better extracted with acidified water, although water extraction showed the best overall reproducibility. Although pathways involving nitrogenous bases could be investigated using organic or aqueous extracts, a higher number of metabolites involved in these pathways were identified in the aqueous extracts. In addition, metabolite extraction protocol was observed to be crucial for the determination of potentially interesting clusters of metabolites.
Versión del editorhttps://doi.org/10.1016/j.aca.2017.07.019
URIhttp://hdl.handle.net/10261/194100
DOI10.1016/j.aca.2017.07.019
ISSN0003-2670
E-ISSN1873-4324
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