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为筛选并建立小鼠体外有效的Th17分化,比较并建立3个小鼠Th17细胞体外分化模型:ICR移植排斥Th17细胞分化模型,MOG抗原肽诱导Th17细胞分化模型以及非抗原特异性Th17细胞分化模型,ELISA法分别检测细胞上清炎性因子IL-17的表达水平,软件分析统计学意义,在此基础上进一步优化Th17细胞分化相关影响条件,流式细胞仪检测Th17细胞(CD4+IL17+)的分化水平从诱导前0.58%增加到8.28%,确立小鼠Th17细胞体外分化最佳方案,为研究小鼠Th17细胞分化机制以及相关自身免疫性疾病治疗靶向分子筛选提供有效的检测平台。
In order to screen and establish Th17 cell differentiation in vitro and in vitro, three mouse Th17 cell differentiation models were established: Th17 cell differentiation model induced by ICR transplantation, Th17 cell differentiation induced by MOG antigen peptide and differentiation model of non-antigen-specific Th17 cells The expression of IL-17 was detected by ELISA. The software was used to analyze the statistical significance. On the basis of the statistical analysis, the influence of Th17 cell differentiation was further optimized. Flow cytometry was used to detect the expression of Th17 cells (CD4 + IL17 +) The differentiation level increased from 0.58% to 8.28% before induction, establishing the optimal scheme for the differentiation of mouse Th17 cells in vitro and providing an effective detection platform for studying the differentiation mechanism of mouse Th17 cells and the targeted molecular screening for the treatment of autoimmune diseases.