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Updated: Jul 14, 2025

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Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
Published on: January 7, 2019
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Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection
David E Reynolds1, Menghan Pan1, Jingbo Yang2
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 6, 2023
Summary
A new assay precisely counts single molecules on extracellular vesicles (EVs), enabling sensitive cancer biomarker detection. This breakthrough aids in understanding EV heterogeneity and discovering novel diagnostic markers.
Area of Science:
- Biotechnology
- Molecular Diagnostics
- Nanotechnology
Background:
- Extracellular vesicles (EVs) show potential as disease biomarkers.
- Current EV detection methods face challenges due to low biomarker abundance and complex EV properties.
Purpose of the Study:
- To develop a highly sensitive assay for absolute quantification of molecules from single EVs.
- To overcome limitations in detecting low-abundance biomarkers on individual EVs.
Main Methods:
- A double digital assay integrated with tyramide signal amplification (TSA) for enhanced fluorescent readout.
- Utilized microfluidic technology for single EV compartmentalization and digital partitioning.
- Applied the assay to quantify PD-L1 proteins on single EVs from melanoma cells.
Main Results:
- Demonstrated successful compartmentalization and digital partitioning of single EVs.
- Achieved absolute quantification of individual molecules from single EVs.
- Quantified approximately 2.7 PD-L1 molecules per EV in melanoma-derived EVs.
Conclusions:
- The developed assay enables precise quantification of rare, low-abundance protein molecules from single EVs.
- This technology is applicable for profiling cancer biomarkers, aiding in prognosis and therapy response assessment.
- The findings facilitate a deeper understanding of EV heterogeneity and the discovery of novel EV-based biomarkers.
Keywords:
biomarker discoverydouble digital microfluidicsextracellular vesiclemicrowellstyramide signal amplification
