The Journal of Immunology · 2016 · 224 citations · 43 references
Life SciencesBioinformaticsImmunologyCellular ImmunologyImmunogeneticsMolecular ImmunologyAntigen PresentationAntigen RecognitionEpitope MappingHuman Leukocyte Antigen SystemMajor Histocompatibility ComplexT Cell BiologyCd8 Positive T Cell ResponsesComputational Epitope PredictionEpitope SpecificityHla AllelesHla Class I MoleculesPeptide EpitopesT-cell Epitope DiscoveryT-cell Epitopes
HLA class I-binding predictions are widely used to identify candidate peptide targets of human CD8(+) T cell responses. Many such approaches focus exclusively on a limited range of peptide lengths, typically 9 aa and sometimes 9-10 aa, despite multiple examples of dominant epitopes of other lengths. In this study, we examined whether epitope predictions can be improved by incorporating the natural length distribution of HLA class I ligands. We found that, although different HLA alleles have diverse length-binding preferences, the length profiles of ligands that are naturally presented by these alleles are much more homogeneous. We hypothesized that this is due to a defined length profile of peptides available for HLA binding in the endoplasmic reticulum. Based on this, we created a model of HLA allele-specific ligand length profiles and demonstrate how this model, in combination with HLA-binding predictions, greatly improves comprehensive identification of CD8(+) T cell epitopes.
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