Sbai H, Mehta A, DeGroot A S
TB/HIV Research Lab., Brown University, Providence, RI 02912, USA.
Curr Drug Targets Infect Disord. 2001 Nov;1(3):303-13. doi: 10.2174/1568005014605955.
T lymphocytes play a major role in the recognition and subsequent elimination of tumors and intracellular pathogens. Induction of epitope-specific T cell responses can help in the clearance of diseases for which no conventional vaccines exist. However, the lack of simple methods to identify relevant T cell epitopes, the high mutation rate of many pathogens, and HLA polymorphism have made the development of efficient T cell epitope-based, or "epitope-driven" vaccines difficult to achieve. Our research over the past several years has applied bioinformatics tools in conjunction with T cell assays to identify naturally processed putative T cell epitopes from several pathogens. This strategy will accelerate the development of new generation T cell epitope-based vaccines against various pathogens including viruses such as HIV and WNV, bacteria such as M.tb., and parasites such as plasmodium. This chapter will review the use of a bioinformatics-based approach to identify putative T cell epitopes. It will summarize the current state of knowledge regarding T cell-epitope-based vaccines and discuss several ways to improve their efficacy.
T淋巴细胞在识别及随后清除肿瘤和细胞内病原体方面发挥着主要作用。诱导表位特异性T细胞应答有助于清除尚无传统疫苗的疾病。然而,缺乏识别相关T细胞表位的简单方法、许多病原体的高突变率以及HLA多态性使得开发高效的基于T细胞表位或“表位驱动”的疫苗难以实现。我们过去几年的研究已将生物信息学工具与T细胞检测相结合,以从几种病原体中识别自然加工的假定T细胞表位。这一策略将加速针对各种病原体的新一代基于T细胞表位疫苗的开发,这些病原体包括如HIV和西尼罗河病毒等病毒、如结核分枝杆菌等细菌以及如疟原虫等寄生虫。本章将综述基于生物信息学的方法来识别假定T细胞表位的应用。它将总结关于基于T细胞表位疫苗的当前知识状态,并讨论提高其效力的几种方法。