适体
小泡
胞外囊泡
小RNA
细胞外小泡
囊泡融合
融合
计算生物学
化学
微泡
生物
细胞生物学
分子生物学
基因
生物化学
膜
突触小泡
哲学
语言学
作者
Liang Cui,Ruixiao Peng,Chaofei Zeng,Jialü Zhang,Yinzhu Lu,Lin Zhu,Mengjiao Huang,Qinghua Tian,Yanling Song,Chaoyong Yang
出处
期刊:Nano Today
[Elsevier]
日期:2022-08-27
卷期号:46: 101599-101599
被引量:27
标识
DOI:10.1016/j.nantod.2022.101599
摘要
Tumor-derived extracellular vesicle (EV) microRNAs (miRNAs) are important biomarkers for clinical diagnosis and disease treatment monitoring. However, the need to lyse EVs makes most methods for detection of tumor-derived EV miRNA expensive, labour-intensive, and time-consuming. Inspired by natural vesicular transport, we here developed a general strategy for in situ detection of tumor-derived EV miRNAs using aptamer-mediated selective fusion (Apt-Fusion). Taking advantages of the high selectivity, rapid and general applicability of Apt-Fusion, this method exhibits significant sensitivity and selectivity for tumor-derived EV miRNAs in a lysis-free manner using conventional flow cytometry. Using this method, the level of miR-21 in PD-L1 positive EVs was quantified and found to effectively distinguish cancer patients from healthy volunteers; additionally, miR-21 in PD-L1 positive EVs was found for the first time to correlate with tumor burden. Overall, Apt-Fusion holds great potential to detect tumor-derived EV miRNAs and expand detection of EV multi-molecular compositions, offering a new avenue for cancer diagnosis and immunotherapy response monitoring. Inspired by natural vesicular transport, we developed a general strategy for in situ detection of tumor-derived extracellular vesicle (EV) microRNAs using aptamer-mediated selective fusion. The proposed strategy can distinguish tumor EVs from normal EVs by dual-selective recognition using aptamers and a molecular beacon. This method paves the way for rapid and efficient detection of EV miRNAs to diagnose cancers and monitor immunotherapy. • A general strategy for in situ detection of tumor-derived EV miRNAs. • An aptamer-mediated specific vesicle-fusion strategy. • The proposed could effectively distinguish cancer patients from healthy individuals, and the EV PD-L1 miR-21 level correlates with tumor burden.
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