...
首页> 外文期刊>Journal of Extracellular Vesicles >Quantification of protein cargo loading into engineered extracellular vesicles at single‐vesicle and single‐molecule resolution
【24h】

Quantification of protein cargo loading into engineered extracellular vesicles at single‐vesicle and single‐molecule resolution

机译:单囊泡和单分子分辨率的调节细胞内囊泡的蛋白质货物载体定量

获取原文
           

摘要

Extracellular Vesicles (EVs) have been intensively explored for therapeutic delivery of proteins. However, methods to quantify cargo proteins loaded into engineered EVs are lacking. Here, we describe a workflow for EV analysis at the single‐vesicle and single‐molecule level to accurately quantify the efficiency of different EV‐sorting proteins in promoting cargo loading into EVs. Expi293F cells were engineered to express EV‐sorting proteins fused to green fluorescent protein (GFP). High levels of GFP loading into secreted EVs was confirmed by Western blotting for specific EV‐sorting domains, but quantitative single‐vesicle analysis by Nanoflow cytometry detected GFP in less than half of the particles analysed, reflecting EV heterogeneity. Anti‐tetraspanin EV immunostaining in ExoView confirmed a heterogeneous GFP distribution in distinct subpopulations of CD63 ~(+), CD81 ~(+), or CD9 ~(+) EVs. Loading of GFP into individual vesicles was quantified by Single‐Molecule Localization Microscopy. The combined results demonstrated TSPAN14, CD63 and CD63/CD81 fused to the PDGFRβ transmembrane domain as the most efficient EV‐sorting proteins, accumulating on average 50–170 single GFP molecules per vesicle. In conclusion, we validated a set of complementary techniques suitable for high‐resolution analysis of EV preparations that reliably capture their heterogeneity, and propose highly efficient EV‐sorting proteins to be used in EV engineering applications.
机译:细胞外囊泡(EVS)被密集地探索蛋白质的治疗递送。然而,缺乏量化装载到工程EVS中的货物蛋白质的方法。在这里,我们描述了单囊泡和单分子水平的EV分析的工作流程,以准确地量化不同EV-Sorting蛋白在促进货物加载到EVS中的效率。 EXPI293F细胞被设计成用于表达融合到绿色荧光蛋白(GFP)的EV类分选蛋白。通过蛋白质印迹对特异性EV排序结构域的蛋白质印迹确认了高水平的GFP加载到分泌的EV中,但是通过纳米射线细胞仪进行定量单囊分析,所述纳米络细胞仪在分析的颗粒的少于一半的颗粒中检测到GFP,反映了EV异质性。 ExoView中的抗Tetrapananin EV免疫染色证实了CD63〜(+),CD81〜(+)或CD9〜(+)EV的不同亚群中的非均相GFP分布。通过单分子定位显微镜量化GFP将GFP加载到单个囊泡中。合并的结果证明了TSPAN14,CD63和CD63 / CD81与PDGFRβ跨膜结构域融合为最有效的EV分选蛋白,平均累积为每囊泡的50-170个GFP分子。总之,我们验证了一组适用于高分辨率分析的一组互补技术,可靠地捕获其异质性,并提出高效的EV-Sorting蛋白在EV工程应用中使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号