Bead‐Based Extracellular Vesicle Analysis Using Flow Cytometry
Year: 2020
Type: article
Abstract: Extracellular vesicles (EVs) represent promising circulating biomarkers for cancers, but their high-throughput analyses in clinical settings prove challenging due to lack of simple, fast, and robust EV assays. Here, a bead-based EV assay detected by flow cytometry is described, which integrates EV capture using microbeads with EV protein analyses by flow cytometry. The assay is fast (<4 h for 48 samples), robust, and compatible with conventional flow cytometry instruments for high-throughput EV analysis. With the method, a panel of pancreatic cancer biomarkers in EVs from plasma samples of pancreatic cancer patients is successfully analyzed. The assay is readily translatable to other biomarkers or cancer types and can be run with standard materials on conventional flow cytometers, making it highly flexible and adaptable to diverse research and clinical needs.
Source: Advanced Biosystems
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Extracellular Vesicles (EVs) and Genes in the Biology and Therapy of Gliomas, G2619718831, G3070390010, G33463262, G4540770348, G5032640909, G5478541047, G6520730637, Multiplexed exosome analyses with DNA barcoding, G9000098140, G9000194433, G9000240366, G9000277607, Altered metabolism and machine learning for pancreatic cancer early detection
OpenAlex ID: W3094142177