Imaging flow cytometry facilitates multiparametric characterization of extracellular vesicles in malignant brain tumours.
Imaging flow cytometry
biomarker
extracellular vesicle
glioma
tetraspanin
Journal
Journal of extracellular vesicles
ISSN: 2001-3078
Titre abrégé: J Extracell Vesicles
Pays: United States
ID NLM: 101610479
Informations de publication
Date de publication:
2019
2019
Historique:
received:
05
07
2018
revised:
15
02
2019
accepted:
21
02
2019
entrez:
6
4
2019
pubmed:
6
4
2019
medline:
6
4
2019
Statut:
epublish
Résumé
Cells release heterogeneous nano-sized vesicles either as exosomes, being derived from endosomal compartments, or through budding from the plasma membrane as so-called microvesicles, commonly referred to as extracellular vesicles (EVs). EVs are known for their important roles in mammalian physiology and disease pathogenesis and provide a potential biomarker source in cancer patients. EVs are generally often analysed in bulk using Western blotting or by bead-based flow-cytometry or, with limited parameters, through nanoparticle tracking analysis. Due to their small size, single EV analysis is technically highly challenging. Here we demonstrate imaging flow cytometry (IFCM) to be a robust, multiparametric technique that allows analysis of single EVs and the discrimination of distinct EV subpopulations. We used IFCM to analyse the tetraspanin (CD9, CD63, CD81) surface profiles on EVs from human and murine cell cultures as well as plasma samples. The presence of EV subpopulations with specific tetraspanin profiles suggests that EV-mediated cellular responses are tightly regulated and dependent on cell environment. We further demonstrate that EVs with double positive tetraspanin expression (CD63
Identifiants
pubmed: 30949309
doi: 10.1080/20013078.2019.1588555
pii: 1588555
pmc: PMC6442086
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1588555Subventions
Organisme : NCI NIH HHS
ID : P01 CA069246
Pays : United States
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