Wang Yifei, Zhang Qinming, Yuan Wang, Wang Yixuan, Loghry Hannah J, Zhao Zijian, Kimber Michael J, Dong Liang, Lu Meng
Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.
Lab Chip. 2021 Jan 7;21(1):196-204. doi: 10.1039/d0lc01006e. Epub 2020 Dec 8.
One of the challenges of exploiting extracellular vesicles (EVs) as a disease biomarker is to differentiate EVs released by similar cell types or phenotypes. This paper reports a high-throughput and label-free EV microarray technology to differentiate EVs by simultaneous characterization of a panel of EV membrane proteins. The EsupplV microarray platform, which consists of an array of antibodies printed on a photonic crystal biosensor and a microscopic hyperspectral imaging technique, can rapidly assess the binding of the EV membrane proteins with their corresponding antibodies. The EV microarray assay requires only a 2 μL sample volume and a detection time of less than 2 h. The EV microarray assay was validated by not only quantifying seven membrane proteins carried by macrophage-derived EVs but also distinguishing the EVs secreted by three macrophage phenotypes. In particular, the EV microarray technology can generate a molecular fingerprint of target EVs that can be used to identify the EVs' parental cells, and thus has utility for basic science research as well as for point-of-care disease diagnostics and therapeutics.
将细胞外囊泡（EVs）用作疾病生物标志物的挑战之一是区分由相似细胞类型或表型释放的EVs。本文报道了一种高通量、无标记的EV微阵列技术，通过同时表征一组EV膜蛋白来区分EVs。EsupplV微阵列平台由印在光子晶体生物传感器上的抗体阵列和显微高光谱成像技术组成，可快速评估EV膜蛋白与其相应抗体的结合。EV微阵列分析仅需2μL样本体积，检测时间不到2小时。通过不仅定量巨噬细胞衍生的EVs携带的七种膜蛋白，还区分三种巨噬细胞表型分泌的EVs，验证了EV微阵列分析。特别是，EV微阵列技术可以生成目标EVs的分子指纹，用于识别EVs的亲本细胞，因此在基础科学研究以及即时医疗疾病诊断和治疗中具有实用价值。
