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Updated: Aug 4, 2026

Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
Published on: January 7, 2019
High-throughput, multiplexed quantification, and sorting of single EVs at single-molecule level
We developed BDEVS, a high-throughput platform for ultra-sensitive profiling of individual extracellular vesicles (EVs) in plasma. This technology enables precise quantification and sorting of EVs, advancing cancer immunology research and diagnostics.
Area of Science:
- Biotechnology
- Nanotechnology
- Cancer Immunology
Background:
- Extracellular vesicles (EVs) are crucial in intercellular communication and disease progression.
- Current methods for EV profiling lack throughput, sensitivity, or multiplexing capabilities for complex clinical samples.
Purpose of the Study:
- To develop a novel platform for high-throughput, multiplexed, and ultra-sensitive profiling of individual EVs directly in plasma.
- To overcome limitations of existing technologies in EV analysis, enabling better understanding of tumor-immune interactions.
Main Methods:
- Developed BDEVS (Agarose Bead-based Digital Single Molecule-Single EV Sorting) platform.
- Integrated rolling circle amplification (RCA) of cleaved EV surface proteins within agarose droplets.
- Utilized flow cytometry for readout, quantification, and sorting of EVs.
Main Results:
- Achieved single molecule sensitivity and moderate multiplexing (3-plex) at high throughput (thousands of EVs/minute).
- Demonstrated a ~100x improvement in the limit of detection for EV subpopulations compared to gold standards.
- Successfully profiled and sorted EVs for immune markers (PD-L1, CD155) and a melanoma marker (TYRP-1) in plasma.
Conclusions:
- BDEVS offers unprecedented resolution for analyzing tumor-immune interactions and detecting rare EV subpopulations.
- The platform shows transformative potential for EV-based diagnostics and therapeutic monitoring in cancer immunology.
- BDEVS enables precise quantification and sorting of EVs, crucial for understanding disease heterogeneity in clinical specimens.
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06:12Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
10:16Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles
Published on: January 20, 2023
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