High‐throughput exosomes analysis for ovarian cancer screening based on a double‐positive surface marker detection biochip
Open Access
Abstract
Exosomes have the potential to be a noninvasive tumor biomarker for cancer diagnosis and classification. However, high‐efficiency capture and analysis of exosomes in complex biological samples remain challenging. Here, we propose a high‐throughput, rapid, ultrasensitive, and low‐detection approach based on a spatially patterned antibody barcodes for quantitative analysis of exosomes. The combination of carbon dots (CDs) self‐assembly substrate and microfluidic technology enables the patterning of antibody barcodes to capture exosomes. Then, the fluorescently labeled detection antibody CD63 is to react with the surface exosomal antigen CD63. The double‐positive detection approach not only recognizes the identification of exosomes but also demonstrates that the exosomes express the targeted membrane marker. Based on the serum exosome detection results, it achieves 100% accuracy to differentiate ovarian cancer patients from healthy donors, and 90% accuracy in patient subgroup distribution. At the same time, the detection approach has a low detection limit of 65 particles/μL. The technology of spatially patterned antibody barcodes is promising in biology studies, early disease diagnosis, and new biomarker screening.Keywords
Funding Information
- Major Scientific and Technological Innovation Project of Shandong Province (2022CXGC020501)
This publication has 39 references indexed in Scilit:
- High throughput and rapid isolation of extracellular vesicles and exosomes with purity using size exclusion liquid chromatographyBioactive Materials, 2024
- Construction of scalable multi-channel DNA nanoplatform for the combined detection of ctDNA biomarkers of ovarian cancerMicrochimica Acta, 2024
- Construction of Exosome SORL1 Detection Platform Based on 3D Porous Microfluidic Chip and its Application in Early Diagnosis of Colorectal CancerSmall, 2023
- Advances in Electrochemical Biosensors Based on Nanomaterials for Protein Biomarker Detection in SalivaAdvanced Science, 2022
- Quantification‐Promoted Discovery of Glycosylated Exosomal PD‐L1 as a Potential Tumor BiomarkerSmall Methods, 2022
- Nanomaterials‐assisted metabolic analysis toward in vitro diagnosticsExploration, 2022
- Tracing Tumor‐Derived Exosomal PD‐L1 by Dual‐Aptamer Activated Proximity‐Induced Droplet Digital PCRAngewandte Chemie International Edition, 2020
- Cd-doped Sb2O4 nanostructures modified glassy carbon electrode for efficient detection of melamine by electrochemical approachBiosensors and Bioelectronics, 2018
- A visible and colorimetric aptasensor based on DNA-capped single-walled carbon nanotubes for detection of exosomesBiosensors and Bioelectronics, 2017
- Organic Transistor Arrays Integrated with Finger‐Powered Microfluidics for Multianalyte Saliva TestingAdvanced Healthcare Materials, 2016