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Title: Hyperspectral imaging-based exosome microarray for rapid molecular profiling of extracellular vesicles
One of the challenges of exploiting extracellular vesicles (EVs) as a disease biomarker is to differentiate EVs released by similar cell types or phenotypes. This paper reports a high-throughput and label-free EV microarray technology to differentiate EVs by simultaneous characterization of a panel of EV membrane proteins. The EsupplV microarray platform, which consists of an array of antibodies printed on a photonic crystal biosensor and a microscopic hyperspectral imaging technique, can rapidly assess the binding of the EV membrane proteins with their corresponding antibodies. The EV microarray assay requires only a 2 μL sample volume and a detection time of less than 2 h. The EV microarray assay was validated by not only quantifying seven membrane proteins carried by macrophage-derived EVs but also distinguishing the EVs secreted by three macrophage phenotypes. In particular, the EV microarray technology can generate a molecular fingerprint of target EVs that can be used to identify the EVs' parental cells, and thus has utility for basic science research as well as for point-of-care disease diagnostics and therapeutics.  more » « less
Award ID(s):
1653673
PAR ID:
10217708
Author(s) / Creator(s):
; ; ; ; ; ; ; ;
Date Published:
Journal Name:
Lab on a Chip
Volume:
21
Issue:
1
ISSN:
1473-0197
Page Range / eLocation ID:
196 to 204
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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