Abstract
Existing approaches to identifying predictive T-cell epitopes have traditionally utilized either 2-digit HLA super-families or more commonly utilizing autologous HLA alleles to facilitate the predictions. However, the use of these criteria may not consider the HLA representation within any target population. Here we propose a modification to concept of utilizing autologous HLA whereby subsets of individuals are selected for their specific HLA allele profiles and the representation they provide within a given population. Using this selective approach to HLA selection and the linkages to specific individuals may enable the design of more targeted experimentalstrategies.
Original language | English |
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Article number | 2100121 |
Journal | Proteomics |
Volume | 21 |
Issue number | 17-18 |
Number of pages | 5 |
ISSN | 1615-9853 |
DOIs | |
Publication status | Published - 2021 |
Bibliographical note
Funding Information:This work was supported by IAVI and was made possible by generous support from many donors including the Bill and Melinda Gates Foundation, the Ministry of Foreign Affairs of Denmark, Irish Aid, the Ministry of Finance of Japan, the Ministry of Foreign Affairs of the Netherlands, the Norwegian Agency for Development Cooperation (NORAD), the United Kingdom Department for International Development (DFID) and the United States Agency for International Development (USAID). The full list of IAVI donors is available at http://www.iavi.org [ 17 ].
Keywords
- HLA diversity
- HLA frequency
- Immunogenic breath
- Predicted T-cell epitopes