Affiliation:
1. Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning 530021 China
2. Department of Clinical Laboratory the Affiliated Tumor Hospital of Guangxi Medical University Nanning 530021 China
Abstract
AbstractTumor‐derived circulating extracellular vesicles (EVs) provide a non‐invasive solution for cancer diagnostics, but hampered by challenges in EVs isolation and profiling. Herein, this work shows that bioorthogonal microbubbles (click bubbles) combine a panel of fluorescent aptamers for streamlined isolation and profiling of oncologic EVs in a single assay. This click bubble‐driven aptasensor (cBAS) features self‐aggregation, self‐separation and self‐enhancing in fluorescence. The facile protein phase transition renders bubble surface polyvalent with rich clickable motifs, enabling fast enrichment of EVs. Moreover, the buoyancy allows click bubbles to self‐float to the droplet apex for self‐aggregated fluorescence enhancement via a bubble lensing effect, thus achieving a sensitive profiling of EVs without requiring additional signal amplification or ultrasensitive detectors. By using cBAS to profile EVs surface proteins from a cohort (n = 45) across three cancer types, a machine learning algorithm enables cancer diagnosis and classification with an overall accuracy of 91%. This EVs‐on‐a‐bubble assay is fast, sensitive, self‐powered, and provides a promising tool to facilitate EVs‐based cancer diagnosis in clinical settings.
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Subject
Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials