首页 | 本学科首页   官方微博 | 高级检索  
检索        


Computational prediction and identification of dengue virus-specific CD4(+) T-cell epitopes
Authors:Wen Jin-Sheng  Jiang Li-Fang  Zhou Jun-Mei  Yan Hui-Jun  Fang Dan-Yun
Institution:Department of Microbiology, Zhongshan Medical College, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Abstract:In this study, we tried to identify dengue virus-specific CD4(+) T-cell epitopes, which can induce PBMC (peripheral blood mononuclear cells) isolated from DF convalescent patients (dengue virus type 1 infection) to secrete IFN-gamma. PBMC of DF convalescent patients were stimulated in vitro with dengue virus-derived peptides, which were prepared based on the prediction of dengue virus-specific CD4(+) T-cell epitopes by using RANKpep online software. Subsequently, the frequency of IFN-gamma producing T cells and percentage of IFN-gamma(+) CD4(+) T cells were measured by using ELISPOT assay and ICS assay (intracellular cytokine straining), respectively. The positive response of PBMC by ELISPOT showed that the numbers of SFC (spots forming cells) ranged from 50 to 310 SFC/1x10(6) PBMC. The positive response of PBMC by ICS assay showed that the percentage of IFN-gamma(+) CD4(+) T cells ranged from 0.03 to 0.27%. As a result, C(45-57) (KLVMAFIAFLRFL), E(396-408) (SSIGKMFEATARG), NS3(23-35) (YRILQRGLLGRSQ), and NS3(141-155) (NREGKIVGLYGNGVV) were identified as dengue virus-specific CD4(+) T-cell epitopes.
Keywords:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号