细胞外小泡
纳米粒子跟踪分析
分离(微生物学)
胞外囊泡
流式细胞术
CD63
粒子(生态学)
化学
粒径
色谱法
纳米技术
微泡
细胞生物学
材料科学
生物
分子生物学
生物化学
生物信息学
生态学
物理化学
小RNA
基因
作者
Ye Tian,Manfei Gong,Yunyun Hu,Haisheng Liu,Wenqiang Zhang,Miaomiao Zhang,Xiuxiu Hu,Dimitri Aubert,Shaobin Zhu,Lina Wu,Xiaomei Yan
标识
DOI:10.1080/20013078.2019.1697028
摘要
ABSTRACT Extracellular vesicles (EVs) have sparked tremendous interest owing to their prominent potential in diagnostics and therapeutics. Isolation of EVs from complex biological fluids with high purity is essential to the accurate analysis of EV cargo. Unfortunately, generally used isolation techniques do not offer good separation of EVs from non‐EV contaminants. Hence, it is important to have a standardized method to characterise the properties of EV preparations, including size distribution, particle concentration, purity and phenotype. Employing a laboratory‐built nano‐flow cytometer (nFCM) that enables multiparameter analysis of single EVs as small as 40 nm, here we report a new benchmark to the quality and efficiency assessment of EVs isolated from plasma, one of the most difficult body fluids to work with. The performance of five widely used commercial isolation kits was examined and compared with the traditional differential ultracentrifugation (UC). Two to four orders of magnitude higher particle concentrations were observed for EV preparations from platelet‐free plasma (PFP) by kits when compared with the EV preparation by UC, yet the purity was much lower. Meanwhile, the particle size distribution profiles of EV preparations by kits closely resembled those of PFP whereas the EV preparation by UC showed a broader size distribution at relatively large particle size. When these kits were used to isolate EVs from vesicle‐depleted PFP (VD‐PFP), comparable particle counts were obtained with their corresponding EV preparations from PFP, which confirmed again the isolation of a large quantity of non‐vesicular contaminants. As CD9, CD63 and CD81 also exist in the plasma matrix, single‐particle phenotyping of EVs offers distinct advantage in the validation of EVs compared with ensemble‐averaged approaches, such as Western blot analysis. nFCM allows us to compare different isolation techniques without prejudice.
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