Department of Molecular Medicine, CMRI, Exosome Convergence Research Center (ECRC), School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Department of New Biology, DGIST, Daegu, Republic of Korea.
J Extracell Vesicles. 2024 Jul;13(7):e12479. doi: 10.1002/jev2.12479.
Although the isolation and counting of small extracellular vesicles (sEVs) are essential steps in sEV research, an integrated method with scalability and efficiency has not been developed. Here, we present a scalable and ready-to-use extracellular vesicle (EV) isolation and counting system (EVics) that simultaneously allows isolation and counting in one system. This novel system consists of (i) EVi, a simultaneous tandem tangential flow filtration (TFF)-based EV isolation component by applying two different pore-size TFF filters, and (ii) EVc, an EV counting component using light scattering that captures a large field-of-view (FOV). EVi efficiently isolated 50-200 nm-size sEVs from 15 µL to 2 L samples, outperforming the current state-of-the-art devices in purity and speed. EVc with a large FOV efficiently counted isolated sEVs. EVics enabled early observations of sEV secretion in various cell lines and reduced the cost of evaluating the inhibitory effect of sEV inhibitors by 20-fold. Using EVics, sEVs concentrations and sEV PD-L1 were monitored in a 23-day cancer mouse model, and 160 clinical samples were prepared and successfully applied to diagnosis. These results demonstrate that EVics could become an innovative system for novel findings in basic and applied studies in sEV research.
虽然从小细胞外囊泡 (sEV) 中分离和计数是 sEV 研究的基本步骤,但尚未开发出一种具有可扩展性和效率的综合方法。在这里,我们提出了一种可扩展且易于使用的细胞外囊泡 (EV) 分离和计数系统 (EVics),它可以在一个系统中同时进行分离和计数。该新型系统包括 (i) EVi,这是一种基于串联切向流过滤 (TFF) 的 EV 分离组件,通过应用两种不同孔径的 TFF 过滤器;(ii) EVc,一种使用光散射的 EV 计数组件,可捕获大视场 (FOV)。EVi 可从 15µL 至 2L 样品中高效分离 50-200nm 大小的 sEV,在纯度和速度方面优于当前的最先进设备。具有大 FOV 的 EVc 可有效计数分离的 sEV。EVics 可实现各种细胞系中 sEV 分泌的早期观察,并将评估 sEV 抑制剂抑制作用的成本降低 20 倍。使用 EVics,可在 23 天的癌症小鼠模型中监测 sEV 浓度和 sEV PD-L1,并成功制备和应用 160 个临床样本进行诊断。这些结果表明,EVics 可能成为 sEV 研究中基础和应用研究中发现新事物的创新系统。