结核分枝杆菌Rv2986c T、B细胞表位分析  

Prediction and analysis of T,B cell epitopes' s distribution of the Mycobacterium tuberculosis Rv2986c

作　　者：孙妍[1] 王心倩 占卫红 雷航[1] 陈高瞻[1] 余晓丽[1] 

机构地区：[1]武汉轻工大学生物与制药工程学院,湖北武汉430023

出　　处：《武汉轻工大学学报》2016年第3期45-48,55,共5页Journal of Wuhan Polytechnic University

基　　金：武汉轻工大学研究生创新基金项目(2014cx019)

摘　　要：预测并分析结核分枝杆菌Rv2986c的CD4+T、CD8+T和B细胞表位分布情况。方法在NCBI数据库上查询并获得Rv2986c的氨基酸序列,用BLAST分析其与结核分枝杆菌复合群及人类蛋白的同源性。利用Net MHC数据库预测并分析目的蛋白的CD4+T细胞表位的分布情况;利用SYFPEITHI、Net MHC、BIMAS和IEDB数据库预测并分析目的蛋白的CD8+T细胞表位的分布情况。然后,综合CD4+T与CD8+T细胞表位预测情况,筛选出优势T细胞表位肽段。利用IEDB和ABCpred数据库分析目的蛋白的B细胞抗原表位,筛选出优势B细胞表位肽段。通过预测与分析,初步筛选出CD4+T细胞的强结合候选表位10个,弱结合候选表位245个,CD8+T细胞候选表位3个;综合CD4+T与CD8+T细胞表位预测结果,最终筛选出1个优势T细胞表位肽段。综合IEDB和ABCpred数据库分析得出8条优势B细胞抗原表位。预测出来的T、B细胞候选表位将为结核病的特异性诊断及新的抗结核多表位疫苗的研究奠定基础。To predict and analyze the distribution of CD4＋T cell CD8＋T-cell and B-cell epitopes encoded by the Rv2986 c of Mycobacterium tuberculosis. Obtaining the amino acid sequences by online NCBI database and analyzing the homology between Mycobacterium tuberculosis complex and human proteins by BLAST. Net MHC databases was used to predict CD4＋Tcell epitopes. Pre-dicting the distribution of CD8＋T cell epitopes by SYFPEITH-I,Net MHC,BIMASand IEDB dat-abases. IEDB and ABCpreddatabases was used to predict Bcell epitopes. After the prediction,we can select the superior epitopes. For the results,there are 10 strong and 245 weak candidates CD4＋T cell epitopes candidates3 CD8＋T cell epitopes candidates. In the end,1 superior T-cell epitopecan be selected. 8superior B-cell epitopes can be selected. Prediction of T and B cell epitopes will be the basis diagnosis of tuberculo-sis and the study of new tuberculosis vaccine.

关 键 词：结核分枝杆菌 Rv2986c T细胞表位 B细胞表位 

分 类 号：Q93[生物学—微生物学]