Comparative analysis of EV isolation procedures for miRNAs detection in serum samples

dc.contributor.authorAndreu, Zoraida
dc.contributor.authorRivas, Eva
dc.contributor.authorSanguino‐Pascual, Aitana
dc.contributor.authorLamana Domínguez, Amalia
dc.contributor.authorMarazuela, Mónica
dc.contributor.authorGonzález‐Alvaro, Isidoro
dc.contributor.authorSánchez‐Madrid, Francisco
dc.contributor.authorFuente, Hortensia de la
dc.contributor.authorYáñez‐Mó, María
dc.date.accessioned2024-01-22T10:05:48Z
dc.date.available2024-01-22T10:05:48Z
dc.date.issued2016
dc.descriptionThis work was supported by grant PIE13/00041 from Instituto de Salud Carlos III and co-funded by Fondo Europeo de Desarrollo Regional (FEDER) to MM, IG-A, FS-M and MY-M, and BFU2014-55478-R from Ministerio de Economía y Competitividad to MY-M.
dc.description.abstractExtracellular vesicles (EVs) are emerging as potent non-invasive biomarkers. However, current methodologies are time consuming and difficult to translate to clinical practice. To analyse EV-encapsulated circulating miRNA, we searched for a quick, easy and economic method to enrich frozen human serum samples for EV. We compared the efficiency of several protocols and commercial kits to isolate EVs. Different methods based on precipitation, columns or filter systems were tested and compared with ultracentrifugation, which is the most classical protocol to isolate EVs. EV samples were assessed for purity and quantity by nanoparticle tracking analysis and western blot or cytometry against major EV protein markers. For biomarker validation, levels of a set of miRNAs were determined in EV fractions and compared with their levels in total serum. EVs isolated with precipitation-based methods were enriched for a subgroup of miRNAs that corresponded to miRNAs described to be encapsulated into EVs (miR-126, miR-30c and miR-143), while the detection of miR-21, miR-16-5p and miR-19a was very low compared with total serum. Our results point to precipitation using polyethylene glycol (PEG) as a suitable method for an easy and cheap enrichment of serum EVs for miRNA analyses. The overall performance of PEG was very similar, or better than other commercial precipitating reagents, in both protein and miRNA yield, but in comparison to them PEG is much cheaper. Other methods presented poorer results, mostly when assessing miRNA by qPCR analyses. Using PEG precipitation in a longitudinal study with human samples, we demonstrated that miRNA could be assessed in frozen samples up to 8 years of storage. We report a method based on a cut-off value of mean of fold EV detection versus serum that provides an estimate of the degree of encapsulation of a given miRNA.
dc.description.departmentDepto. de Biología Celular
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipInstituto de Salud Carlos III
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipMinisterio de Economía y Competitividad (España)
dc.description.statuspub
dc.identifier.citationAndreu, Zoraida, et al. «Comparative Analysis of EV Isolation Procedures for miRNAs Detection in Serum Samples». Journal of Extracellular Vesicles, vol. 5, n.o 1, enero de 2016, p. 31655. https://doi.org/10.3402/jev.v5.31655.
dc.identifier.doi10.3402/jev.v5.31655
dc.identifier.issn2001-3078
dc.identifier.officialurlhttps://doi.org/10.3402/jev.v5.31655
dc.identifier.urihttps://hdl.handle.net/20.500.14352/94276
dc.journal.titleJournal of Exctracellular Vesicles
dc.language.isoeng
dc.page.initial31655
dc.publisherWiley
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu577.112
dc.subject.keywordExtracellular vesicles
dc.subject.keywordmicroRNA
dc.subject.keywordSerum
dc.subject.keywordBiomarker
dc.subject.keywordDiagnosis
dc.subject.keywordPolyethylene glycol
dc.subject.ucmBioquímica (Biología)
dc.subject.unesco2302.07 Química Clínica
dc.titleComparative analysis of EV isolation procedures for miRNAs detection in serum samples
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number5
dspace.entity.typePublication
relation.isAuthorOfPublication2d0aaaa2-b7d1-4fdf-8567-0789d3489cb0
relation.isAuthorOfPublication.latestForDiscovery2d0aaaa2-b7d1-4fdf-8567-0789d3489cb0

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