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机构地区:[1]河南中医学院医学免疫学重点实验室,郑州450008 [2]上海交通大学基础医学院免疫学与微生物学系,上海200025
出 处:《上海交通大学学报(医学版)》2014年第1期7-12,共6页Journal of Shanghai Jiao tong University:Medical Science
基 金:"十二五"国家科技重大专项(2013ZX10003002-005);国家自然基金项目(81271794);上海市科委技术支撑项目(12441903300)~~
摘 要:目的预测并分析结核分枝杆菌(MTB)RD12区4个抗原的CD4+T和CD8+T细胞表位分布情况。方法在NCBI数据库上查询并获得各个抗原的氨基酸序列,用Blast分析其与MTB复合群及人类蛋白的同源性。利用SYFPEITHI、NETCTL、BIMAS和NetMHC数据库预测并分析MTB的RD12区抗原CD8+T细胞表位的分布情况;利用NetMHC数据库预测并分析MTB的RD12区抗原的CD4+T细胞表位的分布情况。然后,综合CD4与CD8表位预测,筛选出优势表位肽段。结果通过预测与分析,初步筛选出MTB的RD12区4个抗原的CD8+T细胞候选表位16个;CD4+T细胞的强结合候选表位234个,弱结合候选表位505个,综合CD4与CD8表位预测并分析,最终筛选出13个优势表位肽段。结论预测出来的T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。Objective To predict and analyze distribution of CD4 ^+ T cell and CD8 ^+T cell epitopes encoded by the specific RD12 region of Mycobacterium tuberculosis ( MTB). Methods The amino acid sequences of the antigens were obtained by online NCBI database. The homology between MTB complex and human proteins was analyzed by BLAST. The distribution of CD8 ^+ T cell epitopes was predicted by SYFPEITHI, NETCTL, BIMAS, and NetMHC databases. The distribution of CD4 ^+ T cell epitopes was predicted by NetMHC databases. After analyzing distribution of CD4 ^+ and CD8 ^+ T cell epitopes, the superior epitopes were selected. Results Sixteen candidate CD8 ^+ T cell epitopes binding to 4 amino acids and 234 strong and 505 weak candidate CD4 ^+ T cell epitopes binding to 15 amino acids were screened preliminarily, respectively. Thirteen superior epitopes were selected. Conclusion The candidate T cell epitopes may help lay a foundation for the research of multi-epitope candidate vaccines and early diagnosis of tuberculosis.
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