摘要
为了简便自噬相关机理药物在胰岛β细胞上的高通量筛选,实验通过慢病毒转染技术,将RFP-GFP-LC3质粒转入大鼠胰岛β细胞株(RIN-m5f),用G418对感染细胞进行筛选,激光共聚焦进行活细胞拍摄验证,得到100%表达RFP-GFP-LC3质粒的细胞株。无血清饥饿处理细胞,结果显示:饥饿组GFP/RFP荧光点比值较对照组下降, P62蛋白表达量以及S6K磷酸化水平降低,加入10μmol/L氯喹部分抑制自噬后, GFP/RFP荧光点比值回升。以上结果表明稳定表达RFP-GFP-LC3的RIN-m5f构建成功,并能够以简单的检测方式准确表达自噬全过程,为自噬在糖尿病药物机理方面的研究奠定了基础。
In order to facilitate the high throughput screening of autophagy related drugs on islet β cells, the RFP-GFP-LC3 plasmid was transfected into RIN-m5f cells by lentivirus transfection, and the infected cells were screened with G418. Laser confocal imaging verified that a cell line expressing RFP-GFP-LC3 was obtained. After different treatments of RIN-m5f, the results showed that the fluorescence point ratio of GFP/RFP in the starved group was lower than that in the normal group, and that expression of P62 protein and the level of S6K phosphorylation were decreased. After 10 μmol/L chloroquine was added to partially inhibit autophagy, the fluorescence point ratio of GFP/RFP increased. These results indicated that the rat islet β cell strain stably expressing RFP-GFP-LC3 was successfully constructed. The cells could exhibit the whole process of autophagy in a simple and accurate manner, which lays a foundation for the study of mechanisms of autophagy related to diabetic medicines.
作者
周佳丽
吴艳阳
罗玉霜
袁玉菊
刘明俊
刘东波
ZHOU Jia-lio;WU Yan-yang;LUO Yu-shuang;YUAN Yu-ju;LIU Ming-jun;LIU Dong-bo(Horticulture and Landscape College. Hunan Agricultural University, Changsha 410128,Hunan, China;College of Food Science and Technology,Hunan Agricultural Cnirersity,Changsha 410128,Hunan,China;Stale Key Laboralory of Sub health Inten ention Technology,Changshd 410128, Hunan, China;Hunan Key Laboratory of Crop Germplasm In novation and Utilization, Changsha 41012 8,Himam China;Hunan Co-Innoralion Center for Ltilization of Botanical Functioruil Ingredients Changsha 410128, Hunan, China;Mmcangdui Hospital. Changsha 410128, Hunan,China)
出处
《生命科学研究》
CAS
CSCD
2019年第2期87-91,共5页
Life Science Research
基金
国家自然科学基金资助项目(81773850)
国家自然科学基金青年科学基金项目(31601125)
湖南省科技重大专项(2017SK1020)