化学
热泳
液体活检
仿形(计算机编程)
计算生物学
微尺度热泳
细胞外小泡
癌症研究
癌症
生物化学
纳米技术
细胞生物学
遗传学
计算机科学
纳米颗粒
纳米流体
材料科学
生物
操作系统
作者
Yike Li,Jinqi Deng,Zhaobin Han,Chao Liu,Fei Tian,Rui Xu,Da Han,Shaohua Zhang,Jiashu Sun
摘要
Molecular profiling of tumor-derived extracellular vesicles (tEVs) holds great promise for non-invasive cancer diagnosis. However, sensitive and accurate identification of tEVs is challenged by the heterogeneity of EV phenotypes which reflect different cell origins. Here we present a DNA computation device mediated by thermophoresis for detection of tEVs. The strategy leverages the aptamer-based logic gate using multiple protein biomarkers on single EVs as the input and thermophoretic accumulation to amplify the output signals for highly sensitive and specific profiling of tEVs. Employing this platform, we demonstrate a high accuracy of 97% for discrimination of breast cancer (BC) patients and healthy donors in a clinical cohort (n = 30). Furthermore, molecular phenotyping assessed by tEVs is in concordance with the results from tissue biopsy in BC patients. The thermophoresis-mediated molecular computation on EVs thus provides new opportunities for accurate detection and classification of cancers.
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