Using Functionalized Liposomes to Harvest Extracellular Vesicles of Similar Characteristics in Dermal Interstitial Fluid

化学 核酸 生物分子 蛋白质组学 细胞外小泡 小泡 生物发生 微泡 计算生物学 脂质体 细胞 细胞外 细胞生物学 间质液 胞外囊泡 生物化学 生物物理学 基因 生物 小RNA 内分泌学
作者
Tingjun Cheng,Benson Kiprono Kosgei,Geofrey F. Soko,Stephene S. Meena,Tong Li,Qianan Cao,Zhe Zhao,Kok Suen Cheng,Qingjun Liu,Fang Wang,Genhua Zhu,Ray P. S. Han
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (49): 17968-17973 被引量:5
标识
DOI:10.1021/acs.analchem.3c04306
摘要

Extracellular vesicles (EVs) are used by living cells for the purpose of biological information trafficking from parental-to-recipient cells and vice versa. This back-and-forth communication is enabled by two distinct kinds of biomolecules that constitute the cargo of an EV: proteins and nucleic acids. The proteomic-cum-genetic information is mediated by the physiological state of a cell (healthy or otherwise) as much as modulated by the biogenesis pathway of the EV. Therefore, in mirroring the huge diversities of human communications, the proteins and nucleic acids involved in cell communications possess seemingly near limitless diversities, and it is this characteristic that makes EVs so highly heterogeneous. Currently, there is no simple and reliable tool for the selective capture of heterogeneous EVs and the delivery of their undamaged cargo for research in extracellular protein mapping and spatial proteomics studies. Our work is a preliminary attempt to address this issue. We demonstrated our approach by using antibody functionalized liposomes to capture EVs from tumor and healthy cell-lines. To characterize their performance, we presented fluorescence and nanoparticle tracking analysis (NTA) results, TEM images, and Western blotting analysis for EV proteins. We also extracted dermal interstitial fluid (ISF) from healthy individuals and used our functionalized synthetic vesicle (FSV) method to capture EVs from their proteins. We constructed three proteomic sets [EV vs ISF, (FSV+EV) vs ISF, and (FSV+EV) vs EV] from the EV proteins and the free proteins harvested from ISF and compared their differentially expressed proteins (DEPs). The performance of our proposed method is assessed via an analysis of 1095 proteins, together with volcano plots, heatmap, GO annotation, and enriched KEGG pathways and organelle localization results of 213 DEPs.
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