Multispectral Optical Tweezers for Biochemical Fingerprinting of CD9-Positive Exosome Subpopulations
Year: 2017
Type: article
Abstract: Extracellular vesicles (EVs), including exosomes, are circulating nanoscale particles heavily implicated in cell signaling and can be isolated in vast numbers from human biofluids. Study of their molecular profiling and materials properties is currently underway for purposes of describing a variety of biological functions and diseases. However, the large, and as yet largely unquantified, variety of EV subpopulations differing in composition, size, and likely function necessitates characterization schemes capable of measuring single vesicles. Here we describe the first application of multispectral optical tweezers (MS-OTs) to single vesicles for molecular fingerprinting of EV subpopulations. This versatile imaging platform allows for sensitive measurement of Raman chemical composition (e.g., variation in protein, lipid, cholesterol, nucleic acids), coupled with discrimination by fluorescence markers. For exosomes isolated by ultracentrifugation, we use MS-OTs to interrogate the CD9-positive subpopulations via antibody fluorescence labeling and Raman spectra measurement. We report that the CD9-positive exosome subset exhibits reduced component concentration per vesicle and reduced chemical heterogeneity compared to the total purified EV population. We observed that specific vesicle subpopulations are present across exosomes isolated from cell culture supernatant of several clonal varieties of mesenchymal stromal cells and also from plasma and ascites isolated from human ovarian cancer patients.
Source: Analytical Chemistry
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G1911243067, G526585906, G5800259465, G671619338, G776903742, G7938659809, Periodontal Biomaterials with BITE (Biofilm Immunity with Tissue Engineering), G8767099826, G9000015183, G9000016997, G9000032831, Training in Comparative Lung Biology and Medicine, Cancer Center Support Grant P30, G987435615
OpenAlex ID: W2597876129
