Department of Chemistry, University of Kentucky, 161 Jacobs Science Building, Lexington, KY, 40506, USA.
Center for Computational Sciences, University of Kentucky, 325 McVey Hall, Lexington, KY, 40506, USA.
Anal Bioanal Chem. 2020 Apr;412(11):2589-2597. doi: 10.1007/s00216-020-02485-z. Epub 2020 Mar 7.
Extracellular vesicles (EVs) and cell-derived vesicles (CDVs), generated by fragmenting cellular membranes, have both been explored as therapeutic delivery vehicles. Surface proteins on these vesicles are of great importance as they are characteristic to the cell of origin and modulate vesicle interactions with target cells. Here, we introduced a high-throughput fluorescence correlation spectroscopy (ht-FCS) approach capable of characterizing vesicle surface proteins across a large number of samples. We used automated screening and acquisition of FCS data to profile surface proteins of cell-derived vesicles with high fidelity based on changes in diffusion time upon antibody-vesicle interactions. We characterized vesicles generated from 4 cell types using antibodies for known exosome biomarkers. The ht-FCS technique presented here offers the capability to screen EVs or cell-derived vesicles against a library of surface markers or to screen a library of cell-derived vesicles for a specific identifying marker at a high speed.
细胞外囊泡(EVs)和细胞衍生的囊泡(CDVs)是通过细胞膜片段化产生的,它们都被探索作为治疗性药物传递载体。这些囊泡表面的蛋白质非常重要,因为它们是起源细胞的特征,并调节囊泡与靶细胞的相互作用。在这里,我们引入了一种高通量荧光相关光谱(ht-FCS)方法,能够对大量样本中的囊泡表面蛋白进行特征分析。我们使用自动筛选和 FCS 数据采集,根据抗体-囊泡相互作用后扩散时间的变化,以高精度对细胞衍生囊泡的表面蛋白进行分析。我们使用针对已知外泌体生物标志物的抗体来表征 4 种细胞类型生成的囊泡。本文提出的 ht-FCS 技术提供了一种能力,可以针对表面标记物库筛选 EVs 或细胞衍生的囊泡,或者以高速针对特定鉴定标记物筛选细胞衍生的囊泡库。