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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
Use of T cell epitopes for vaccine development
1TB/HIV Research Lab., Brown University, Providence, RI 02912, USA. Hakima_Sbai@Brown.edu
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 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.
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