Highly efficient labelling of extracellular vesicles for enhanced detection on a microfluidic platform
作者机构:Bionic Sensing and Intelligence CenterInstitute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China
出 版 物:《Chinese Chemical Letters》 (中国化学快报(英文版))
年 卷 期:2024年第35卷第2期
页 面:441-445页
核心收录:
学科分类:0710[理学-生物学] 080704[工学-流体机械及工程] 07[理学] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 071009[理学-细胞生物学] 09[农学] 0703[理学-化学] 0901[农学-作物学] 090102[农学-作物遗传育种] 0801[工学-力学(可授工学、理学学位)]
基 金:supported by the National Natural Science Foundation of China(Nos.62074155,62204253 and 62205366) Guangdong Program(No.2016ZT06D631) Guangdong Basic and Applied Basic Research Foundation(Nos.2020A1515110938 and 2020A1515110142) Shenzhen Science and Technology Innovation Committee(Nos.KCXFZ202002011008124 and JCYJ20210324101405016)
主 题:Microfluidic platform Extracellular vesicles Labelling PKH dye Flow cytometry
摘 要:Developing precise extracellular vesicles(EVs)labelling techniques with minimal disturbance is of great importance to the follow-up EVs detection and ***,currently available methods such as using probes to conjugate phospholipids or membrane proteins have certain limitations due to EV steric hindrance,dye aggregation,***,we present a microfluidic platform to enhance EVs’labelling efficiency and improve their *** platform provides excellent sample throughput and high-efficiency EV labelling at lower label concentrations with an optimized flowing *** cytometry analysis(FCM)and cellular uptake results show that EV labelling by utilizing this platform possesses the merits of a higher labelling efficiency with 64.1%relative improvement than conventional co-incubation method and a lower background ***,this technique maintains EVs’size,morphology and biological *** the recipient cells uptake the EVs treated by the microfluidic platform,the spatial and temporal distribution of EVs in the cells are clearly *** results demonstrate that our method holds great potential in efficient labelling of EVs,which is essential to subsequent EV quantification and analysis.