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Updated: May 4, 2026

Isolation and Profiling of MicroRNA-containing Exosomes from Human Bile
Published on: June 13, 2016
Separation-Free Extracellular Vesicle Microribonucleic Acid Profiling Using Structurally Oriented Membrane Fusion and
Sihui Tong1,2,3, Xiaoyi Fu2,4, Lubin Qi2
1School of Molecular Medicine, Hangzhou lnstitute for Advanced·Study, University of Chinese Academy of Sciences, Hangzhou 310024, PR China.
This study introduces a novel aptamer-liposome biosensor for rapid, one-step detection of extracellular vesicle microRNAs. The method offers a sensitive and specific liquid biopsy strategy for early cancer diagnosis.
Area of Science:
- Biochemistry
- Molecular Biology
- Nanotechnology
Background:
- Current methods for extracellular vesicle (EV) microRNA (miRNA) profiling are complex and have limitations in sensitivity or efficiency.
- Accurate and rapid detection of EV-derived miRNAs is crucial for early cancer diagnosis.
Purpose of the Study:
- To develop a novel, rapid, and sensitive platform for *in situ* detection of multiple tumor-specific EV-derived miRNAs.
- To overcome the limitations of existing EV miRNA profiling techniques.
Main Methods:
- A programmable, aptamer-mediated membrane fusion strategy was developed using Dual-color, Bone-shaped Biosensor-loaded Aptamer-Liposomes (DBS-Alip).
- DBS-Alip selectively fuses with intact EVs, delivering biosensors for nonenzymatic signal amplification within 30 minutes.
- The platform enables isolation-free, multiplexed detection of miRNAs directly from plasma.
Main Results:
- The DBS-Alip platform achieved ultralow detection limits (0.5 fM) with high sensitivity and specificity, requiring only 5 μL of plasma.
- Clinical validation demonstrated 100% accuracy in distinguishing early-stage nonsmall cell lung cancer patients from healthy donors and 90% accuracy from pneumonia cases.
- The method eliminates the need for RNA extraction or amplification.
Conclusions:
- The DBS-Alip platform provides a robust, programmable, and efficient EV-based liquid biopsy strategy.
- This approach holds significant potential for early cancer diagnosis through sensitive and specific miRNA detection.
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