PROTEOMICS · 2016 · 63 citations · 37 references
Life SciencesBioinformaticsImmunologyCancer ImmunologyMass Spectrometric AnalysisProteomicsAntigen PresentationMass SpectrometryPeptide AnalysisPeptide IdentificationTumor AntigensTumor-associated AntigensAmino AcidsHla Peptide Binding SpecificityMass Spectral Data AnalysisMass Spectrometry ProteomicsMelanoma-associated AntigensPeptide Mass Spectrometry
The characterization of peptides bound to human leukocyte antigen (HLA) class I is of fundamental importance for understanding CD8+ T cell-driven immunological processes and for the development of immunomodulatory therapeutic strategies. However, until now, the mass spectrometric analysis of HLA-bound peptides has typically required billions of cells, still resulting in relatively few high-confidence peptide identifications. Capitalizing on the recent developments in mass spectrometry and bioinformatics, we have implemented a methodology for the efficient recovery of acid-eluted HLA peptides after purification with the pan-reactive antibody W6/32 and have identified a total of 27 862 unique peptides with high confidence (1% false discovery rate) from five human cancer cell lines. More than 93% of the identified peptides were eight to 11 amino acids in length and contained signatures that were in excellent agreement with published HLA binding motifs. Furthermore, by purifying soluble HLA class I complexes (sHLA) from sera of melanoma patients, up to 972 high-confidence peptides could be identified, including melanoma-associated antigens already described in the literature. Knowledge of the HLA class I peptidome should facilitate multiplex tetramer technology-based characterization of T cells, and allow the development of patient selection, stratification and immunomodulatory therapeutic strategies.
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