Digital Profiling Subpopulations of Cancer Cell-Derived Exosomes via Aptamer-SERS Nanotags on a Wafer-Level Micropillar Array Chip

The clinical translation of exosome-based diagnostics and therapies is hindered by significant molecular heterogeneity. Current exosome phenotyping methods suffer from insufficient sensitivity, limited multiplexing capability, and poor scalability. To address these challenges, we developed a digital wafer-level micropillar array (WLM-Exo) platform. The chip features a high-surface-area micropillar array functionalized with a DSPE-PEG2000 lipid layer via Au-S bonding, enabling lipid-mediated membrane fusion for universal exosome enrichment and a uniform spatial distribution. Following capture, aptamer-based SERS nanotags bind specifically to target proteins on exosomes, generating distinct Raman signals upon laser excitation. Exosomal proteins are digitally quantified by measuring the activated area in the Raman images, exhibiting a log-log linear correlation with exosome concentration. The WLM-Exo platform demonstrates ultrasensitive detection (LOD: 2.11 particles/μL for CD63, 1.17 particles/μL for EpCAM, and 18.3 particles/μL for dual-biomarkers) and simultaneous tetra-color exosomal phenotyping capability. By enabling precise, scalable, and digital protein profiling, this technology offers significant potential for exosomes subtyping in personalized cancer diagnostics and therapeutics monitoring.

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Publication Details

Journal
ACS Sensors
Published
2025-08-25
DOI
https://doi.org/10.1021/acssensors.5c01962
Citations
1
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.81

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article

Digital Profiling Subpopulations of Cancer Cell-Derived Exosomes via Aptamer-SERS Nanotags on a Wafer-Level Micropillar Array Chip

Ruyun Jin, Christopher J. Long, Dongyun Zheng, Chunnan Zhu et al.
1 citations
ACS Sensors
Extracellular vesicles in disease
0.81
article

Digital Profiling Subpopulations of Cancer Cell-Derived Exosomes via Aptamer-SERS Nanotags on a Wafer-Level Micropillar Array Chip

Ruyun Jin, Christopher J. Long, Dongyun Zheng, Chunnan Zhu, Xiaofei Yang, Xiaodong Lin, Pan Zhang, Chao Liu, Chunyan Zhu
article en
1 citations

Abstract

The clinical translation of exosome-based diagnostics and therapies is hindered by significant molecular heterogeneity. Current exosome phenotyping methods suffer from insufficient sensitivity, limited multiplexing capability, and poor scalability. To address these challenges, we developed a digital wafer-level micropillar array (WLM-Exo) platform. The chip features a high-surface-area micropillar array functionalized with a DSPE-PEG2000 lipid layer via Au-S bonding, enabling lipid-mediated membrane fusion for universal exosome enrichment and a uniform spatial distribution. Following capture, aptamer-based SERS nanotags bind specifically to target proteins on exosomes, generating distinct Raman signals upon laser excitation. Exosomal proteins are digitally quantified by measuring the activated area in the Raman images, exhibiting a log-log linear correlation with exosome concentration. The WLM-Exo platform demonstrates ultrasensitive detection (LOD: 2.11 particles/μL for CD63, 1.17 particles/μL for EpCAM, and 18.3 particles/μL for dual-biomarkers) and simultaneous tetra-color exosomal phenotyping capability. By enabling precise, scalable, and digital protein profiling, this technology offers significant potential for exosomes subtyping in personalized cancer diagnostics and therapeutics monitoring.

ACS SensorsVol. 10(9)
University of California, Riverside (US), Minzu University of China (CN), Peking University (CN), State Ethnic Affairs Commission (CN), University of California System (US)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 24%
Extracellular vesicles in disease
0.81
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