Journal
ACS PHOTONICS
Volume 5, Issue 2, Pages 487-494Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsphotonics.7b00992
Keywords
surface plasmon resonance; extracellular vesicles; exosomes; nanohole arrays; biomarlcers; cancer
Categories
Funding
- NIH [R21-CA205322, R01-HL113156, K99-CA201248, ROI-CA204019, R01-EB010011, R01-EB00462605A1, P01-CA069246]
- Liz Tilberis Award Fund
- MGH scholar fund
- Andrew L. Warshaw, M.D. Institute for Pancreatic Cancer Research
- Lustgarten Foundation
- National Research Foundation of Korea [NRF-2017M3A9B4025699, NRF-2017M3A9B4025709]
- Basic Science Research Program by the Ministry of Education, South Korea [NRF-2014R1A6A3A03060030]
- NATIONAL CANCER INSTITUTE [P01CA069246, R00CA201248, K99CA201248, R01CA204019, R21CA205322] Funding Source: NIH RePORTER
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL113156] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB004626, R01EB010011] Funding Source: NIH RePORTER
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Extracellular vesicles (EVs), including exosomes, are nanoscale membrane particles shed from cells and contain cellular proteins whose makeup could inform cancer diagnosis and treatment. Most analyses have focused on surface proteins while analysis of intravesicular proteins has been more challenging. Herein, we report an EV screening assay for both intravesicular and transmembrane proteins using a nanoplasmonic sensor. Termed iNPS (intravesicular nanoplasmonic system), this platform used nanohole-based surface plasmon resonance (SPR) for molecular detection. Specifically, we (i) established a unified assay protocol to detect intravesicular as well as transmembrane proteins; and (ii) engineered plasmonic substrates to enhance detection sensitivity. The resulting iNPS enabled sensitive (0.5 mu L sample per marker) and high-throughput (a 10 x 10 array) detection for EV proteins. When applied to monitor EVs from drug-treated cancer cells, the iNPS assay revealed drug-dependent unique EV protein signatures. We envision that iNPS could be a powerful tool for comprehensive molecular screening of EVs.
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