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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
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Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics
Yawei Zhang1, Liang Zhao1, Yaocheng Li1
1State Key Laboratory of Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Journal of Nanobiotechnology
|October 5, 2023
Summary
Extracellular vesicles (EVs) are promising biomarkers for liquid biopsies. New nanotechnology is improving EV enrichment and analysis for better disease diagnostics.
Area of Science:
- Biotechnology
- Nanotechnology
- Molecular Diagnostics
Background:
- Extracellular vesicles (EVs) are nano-sized vesicles containing biomolecules, acting as crucial cellular communicators.
- EVs are valuable as circulating bioinformatic nanocabinets for liquid biopsy applications.
- EVs are implicated in various diseases, presenting opportunities for advanced diagnostics.
Purpose of the Study:
- To review emerging strategies for EV enrichment and bioinformatic decoding.
- To highlight advancements in EV nanotechnology for clinical applications.
- To discuss the potential of EVs as bioinformatic nanomaterials in clinical settings.
Main Methods:
- Review of current literature on EV enrichment techniques.
- Analysis of novel bioinformatic decoding platforms for EV analysis.
- Discussion of nanotechnology-driven approaches for EV isolation and characterization.
Main Results:
- Inefficient EV enrichment and low sensitivity of decoding technologies currently limit clinical use.
- New EV nanotechnology is actively being developed to enhance diagnostic capabilities.
- Emerging strategies show promise for overcoming current limitations in EV analysis.
Conclusions:
- Advancements in EV enrichment and bioinformatic decoding are crucial for clinical translation.
- EV nanotechnology offers a promising avenue for developing sensitive and efficient diagnostic tools.
- EVs hold significant potential as bioinformatic nanomaterials for disease detection and monitoring.

