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dc.contributor.authorAltadill, Tatiana
dc.contributor.authorCampoy, Irene
dc.contributor.authorLanau, Lucia
dc.contributor.authorGill, Kirandeep
dc.contributor.authorRigau, Marina
dc.contributor.authorGil-Moreno, Antonio
dc.contributor.authorReventós, Jaume
dc.contributor.authorByers, Stephen
dc.contributor.authorColás, Eva
dc.contributor.authorCheema, Amrita K.
dc.description.abstractIdentification of sensitive and specific biomarkers with clinical and translational utility will require smart experimental strategies that would augment expanding the breadth and depth of molecular measurements within the constraints of currently available technologies. Exosomes represent an information rich matrix to discern novel disease mechanisms that are thought to contribute to pathologies such as dementia and cancer. Although proteomics and transcriptomic studies have been reported using Exosomes-Like Vesicles (ELVs) from different sources, exosomal metabolome characterization and its modulation in health and disease remains to be elucidated. Here we describe methodologies for UPLC-ESI-MS based small molecule profiling of ELVs from human plasma and cell culture media. In this study, we present evidence that indeed ELVs carry a rich metabolome that could not only augment the discovery of low abundance biomarkers but may also help explain the molecular basis of disease progression. This approach could be easily translated to other studies seeking to develop predictive biomarkers that can subsequently be used with simplified targeted approaches.ca_ES
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Health (RD12/0036/0035), the Spanish Ministry of Economy and Competitivy (PI14/02043), the AECC (Grupos Estables de Investigacion 2011 - AECC- GCB 110333 REVE), the Fundació La Marató TV3 (2/C/2013), the CIRIT Generalitat de Catalunya (2014 SGR 1330) and the European Commission, 7th Framework Programe, IRSES (PROTBIOFLUID –269285) – Belgium. The authors would like to acknowledge the Proteomics and Metabolomics Shared Resource partially supported by Cancer Center Support Grant NIH/NCI grant P30-CA051008.ca_ES
dc.publisherPublic Library of Scienceca_ES
dc.relation.isformatofReproducció del document publicat a
dc.relation.ispartofPlos One, 2016, vol. 11, núm. 3, p. e0151339ca_ES
dc.rightscc-by (c) Altadill et al., 2016ca_ES
dc.subject.otherMarcadors bioquímicsca_ES
dc.titleEnabling Metabolomics Based Biomarker Discovery Studies Using Molecular Phenotyping of Exosome-Like Vesiclesca_ES

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