Multiplexed analysis of EV reveals specific biomarker composition with diagnostic impact

• Published in: Nature communications Vol. 14; no. 1; p. 1239
• Main Authors: Spitzberg, Joshua D., Ferguson, Scott, Yang, Katherine S., Peterson, Hannah M., Carlson, Jonathan C. T., Weissleder, Ralph
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 04-03-2023; Nature Publishing Group; Nature Portfolio
• Subjects: 14/1; 14/10; 14/63; 631/154/53; 631/1647/328; 631/61/32; 631/80/2373/2238; 82/51; Biomarkers; Chromatography, Affinity; Composition; Depth profiling; Diagnostic systems; Exosomes; Extracellular Vesicles; Fluorescence; Heterogeneity; Humanities and Social Sciences; multidisciplinary; Multiplexing; Science; Science (multidisciplinary); Staining; Staining and Labeling; Vesicles
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-023-36932-z

Exosomes and extracellular vesicles (EV) are increasingly being explored as circulating biomarkers, but their heterogenous composition will likely mandate the development of multiplexed EV technologies. Iteratively multiplexed analyses of near single EVs have been challenging to implement beyond a few colors during spectral sensing. Here we developed a multiplexed analysis of EV technique (MASEV) to interrogate thousands of individual EVs during 5 cycles of multi-channel fluorescence staining for 15 EV biomarkers. Contrary to the common belief, we show that: several markers proposed to be ubiquitous are less prevalent than believed; multiple biomarkers concur in single vesicles but only in small fractions; affinity purification can lead to loss of rare EV subtypes; and deep profiling allows detailed analysis of EV, potentially improving the diagnostic content. These findings establish the potential of MASEV for uncovering fundamental EV biology and heterogeneity and increasing diagnostic specificity.
Multiplexed analyses of near single EVs is currently challenging. Here the authors report the method MASEV, multiplexed analysis of EVs, to interrogate thousands of individual EVs during 5 cycles of multi-channel fluorescence staining for 15 EV biomarkers.