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null (Ed.)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.more » « less
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Wang, Yifei; Yuan, Wang; Zhang, Qinming; Wang, Yixuan; Kimber, Michael; Dong, Liang; Lu, Meng (, 2019 IEEE SENSORS)
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Wang, Yifei; Yuan, Wang; Kimber, Michael; Lu, Meng; Dong, Liang (, ACS Sensors)
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Zhang, Guo; Yuan, Wang-ding; Vilim, Ferdinand S.; Romanova, Elena V.; Yu, Ke; Yin, Si-yuan; Le, Zi-wei; Xue, Ying-yu; Chen, Ting-ting; Chen, Guo-kai; et al (, ACS Chemical Neuroscience)
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Zhang, Guo; Vilim, Ferdinand S.; Liu, Dan-Dan; Romanova, Elena V.; Yu, Ke; Yuan, Wang-Ding; Xiao, Hui; Hummon, Amanda B.; Chen, Ting-Ting; Alexeeva, Vera; et al (, Journal of Biological Chemistry)
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