Affiliation:
1. School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 China
2. Institute of Biomedical Engineering, College of Life Science Qingdao University 308 Ningxia Road Qingdao Shandong 266071 China
3. China National Tobacco Quality Supervision &Test Center 6 Cuizhu Street Zhengzhou Henan 450001 China
Abstract
Comprehensive SummaryExtracellular vesicles (EVs) carry rich protein and nucleic acid information of host cells, thus, they are considered to be reliable biomarkers for cancer diagnosis. However, current EVs detection relies on technical expertise that requires special equipment to readout signals that prevent its point‐of‐care testing. In this study, we propose a Pattern Recognition of Molecular in Interest on Single EVs (PROMISE) strategy for clinical EVs detection. This strategy combines an aptamer‐based DNA processor on single EVs, and a color‐rendering enzyme to provide a visual output for naked‐eyes enabled profiling. We demonstrate 100% accuracy in breast cancer discrimination. Furthermore, by utilizing thin‐layer chromatography (TLC), we achieve a simultaneous screening of two types of cancers (breast and prostate cancer) in one sample. This PROMISE strategy could serve as a versatile platform for point‐of‐care EVs diagnosis.
Funder
National Natural Science Foundation of China