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dc.contributor.authorIbáñez, Claraes_ES
dc.contributor.authorSimó, Carolinaes_ES
dc.contributor.authorPalazoglu, Minees_ES
dc.contributor.authorCifuentes, Alejandroes_ES
dc.date.accessioned2019-11-07T09:51:38Z-
dc.date.available2019-11-07T09:51:38Z-
dc.date.issued2017-
dc.identifier.citationAnalytica Chimica Acta 986: 48-56 (2017)es_ES
dc.identifier.issn0003-2670-
dc.identifier.urihttp://hdl.handle.net/10261/194100-
dc.description.abstractThe 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.es_ES
dc.description.sponsorshipThis work was supported the projects AGL2011-29857-C03-01 (Ministerio de Educación y Ciencia, Spain) and AGL2014-53609- P (Ministerio de Economía y Competitividad, Spain). CI thanks to Ministerio de Economía y Competitividad for her stay abroad grant (EEBB-I-12-03995) and for her Juan de la Cierva postdoctoral research contract (FJCI-2014-19601).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FJCI-2014-19601es_ES
dc.relation.isversionofPostprint-
dc.rightsopenAccesses_ES
dc.subjectColon canceres_ES
dc.subjectSample treatmentes_ES
dc.subjectMetabolomicses_ES
dc.subjectGas chromatography-mass spectrometryes_ES
dc.titleGC-MS based metabolomics of colon cancer cells using different extraction solventses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.aca.2017.07.019-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.aca.2017.07.019es_ES
dc.identifier.e-issn1873-4324-
dc.contributor.funderMinisterio de Educación y Ciencia (España)es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderConsejo Superior de Investigaciones Científicas (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003339es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.pmid28870325-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeartículo-
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