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Updated: Jun 6, 2025

qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes
Published on: March 6, 2019
The peptide selectivity model: Interpreting NK cell KIR-HLA-I binding interactions and their associations to human
Malcolm J W Sim1, Eric O Long2
1Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, OX3 7DQ, UK.
None:
Combinations of the highly polymorphic KIR and HLA-I genes are associated with numerous human diseases. Interpreting these associations requires a molecular understanding of the multiple killer-cell immunoglobulin-like receptor (KIR)-human leukocyte antigen-1 (HLA-I) receptor-ligand interactions on natural killer (NK) cells and identifying the salient features that underlie disease risk. We hypothesize that a critical discriminating factor in KIR-HLA-I interactions is the selective detection of HLA-I-bound peptides by KIRs. We propose a 'peptide selectivity model', where high-avidity KIR-HLA-I interactions reflect low selectivity for peptides conferring consistent NK cell inhibition across different tissue immunopeptidomes. Conversely, lower-avidity interactions (including those with activating KIRs) are more dependent on HLA-I-bound peptide sequence, requiring an appreciation of how HLA-I immunopeptidomes influence KIR binding and regulate NK cell function. Relevant to understanding NK cell function and pathology, we interpret known KIR-HLA-I combinations and their associations with certain human diseases in the context of this 'peptide selectivity model'.
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