细胞外小泡
免疫疗法
吞吐量
清脆的
计算生物学
高通量筛选
胞外囊泡
生物
微泡
纳米技术
计算机科学
材料科学
生物信息学
细胞生物学
小RNA
免疫学
基因
免疫系统
生物化学
电信
无线
作者
Chuanhao Tang,Zaizai Dong,Yan Shi,Bing Liu,Zhiying Wang,Long Cheng,Feng Liu,Hong Sun,Yimeng Du,Lu Pan,Yuhao Zhou,Zhiyuan Jin,Libo Zhao,Nan Wu,Lingqian Chang,Xiaojie Xu
标识
DOI:10.1016/j.bios.2024.116748
摘要
Extracellular vesicles (EVs) are considered as promising candidates for predicting patients who respond to immunotherapy. Nevertheless, simultaneous detection of multiple EVs markers still presents significant technical challenges. In this work, we developed a high-throughput microdroplet-enhanced chip (MEC) platform, which utilizes thousands of individual microchambers (∼pL) as reactors, accelerating the detection efficiency of the CRISPR/Cas systems and increasing the sensitivity by up to 100-fold (aM level). Ten biomarkers (including 5 RNAs and 5 proteins) from patients' EVs are successfully detected on one chip, and the comprehensive markers show increased accuracy (AUC 0.911) than the individual marker for the efficacy prediction of immunotherapy. This platform provides a high-throughput yet sensitive strategy for screening immunotherapy markers in clinical.
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