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Selective HLA restriction enables the evaluation and interpretation of immunogenic breadth at comparable levels to that observed with broader HLA distribution
Author(s) -
Hare Jonathan,
FioreGartland Andrew,
McGowan Edward,
Hunter Eric,
Gilmour Jill,
Nielsen Morten
Publication year - 2021
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202100121
Subject(s) - human leukocyte antigen , allele , representation (politics) , population , computational biology , selection (genetic algorithm) , biology , epitope , immunology , hla a , genetics , computer science , antigen , artificial intelligence , medicine , gene , political science , environmental health , politics , law
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.