微泡
仿形(计算机编程)
化学
微流控
纳米技术
生物标志物发现
计算生物学
小RNA
计算机科学
材料科学
蛋白质组学
生物化学
基因
生物
操作系统
作者
Fei Wang,Yueyue Gui,Wentao Liu,Chao Li,Yucai Yang
标识
DOI:10.1021/acs.analchem.1c03644
摘要
Exosomes have emerged as a promising circulating tumor biomarker; however, it is a big challenge for convenient, multiparametric, and accurate profiling of tumorous exosomes due to their unique structure and heterogeneity. To address these problems, we develop a highly integrated electrochemical platform for molecular profiling of tumor exosomes. A metal-organic framework-functionalized sensing interface is fabricated through a simple self-growth process, which collects exosomes from biofluids without additional separation steps. Meanwhile, a sensing strategy is designed to analyze both exosomal protein and RNA markers on a single chip based on the unique sensor architecture, allowing detection of low-abundance targets (∼250 vesicles in a 10 μL sample) using an integrated microfluidic electrochemical device. Furthermore, a multiple-input, protein enzyme-based logic gate is introduced into the system to accurately identify breast cancer patients with 100% sensitivity and specificity, thus revealing the advantageous role of logical profiling of exosomes in early diagnostics of tumor.
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