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AltadillT.pdf (2.62 MB)

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2016-03-14

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cc by (c) Altadill et al., 2016
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/126873

Enabling Metabolomics Based Biomarker Discovery Studies Using Molecular Phenotyping Of Exosome-like Vesicles

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Recurs relacionat

https://doi.org/10.1371/journal.pone.0151339

Resum

Identification 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.

Matèries

Expressió gènica, Marcadors bioquímics

Matèries (anglès)

Gene expression, Biochemical markers

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Col·leccions

Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
Publicacions de projectes de recerca finançats per la UE

Citació

ALTADILL, Tatiana, et al. Enabling Metabolomics Based Biomarker Discovery Studies Using Molecular Phenotyping Of Exosome-like Vesicles. PLoS One. 2016. Vol. 11, num. 3, pags. e0151339. [consulted: 20 of August of 2026]. Available at: https://hdl.handle.net/2445/126873

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