Divergent motifs but overlapping binding repertoires of six HLA-DQ molecules frequently expressed in the worldwide human population.

Knowledge of the binding repertoires and specificities of HLA-DQ molecules is somewhat limited and contradictory, partly because of the scarcity of reports addressing some of the most common molecules and possibly because of the diversity of the techniques used. In this paper, we report the development of high-throughput binding assays for the six most common DQ molecules in the general worldwide population. Using comprehensive panels of single substitution analogs of specific ligands, we derived detailed binding motifs for DQA1*0501/DQB1*0301, DQA1*0401/DQB1*0402, and DQA1*0101/DQB1*0501 and more detailed motifs for DQA1*0501/DQB1*0201, DQA1*0301/DQB1*0302, and DQA1*0102/DQB1*0602, previously characterized on the basis of sets of eluted ligands and/or limited sets of substituted peptides. In contrast to what has previously been observed for DR and DP molecules, DQ motifs were generally less clearly defined in terms of chemical specificity and, strikingly, had little overlap with each other. However, testing a panel of peptides spanning a set of Phleum pratense Ags, and panels of known DQ epitopes, revealed a surprisingly significant and substantial overlap in the repertoire of peptides bound by these DQ molecules. Although the mechanism underlying these apparently contradictory findings is not clear, it likely reflects the peculiar mode of interaction between DQ (and not DR or DP) molecules and their peptide ligands. Because the DQ molecules studied are found in >85% of the general human population, these findings have important implications for epitope identification studies and monitoring of DQ-restricted immune responses.

Five HLA-DP molecules frequently expressed in the worldwide human population share a common HLA supertypic binding specificity.

Compared with DR and DQ, knowledge of the binding repertoires and specificities of HLA-DP alleles is somewhat limited. However, a growing body of literature has indicated the importance of DP-restricted responses in the context of cancer, allergy, and infectious disease. In the current study, we developed high-throughput binding assays for the five most common HLA-DPB1 alleles in the general worldwide population. Using these assays on a comprehensive panel of single-substitution analogs and large peptide libraries, we derived novel detailed binding motifs for DPB1*0101 and DPB1*0501. We also derived more detailed quantitative motifs for DPB1*0201, DPB1*0401, and DPB1*0402, which were previously characterized on the basis of sets of eluted ligands and/or limited sets of substituted peptides. Unexpectedly, all five DP molecules, originally selected only on the basis of their frequency in human populations, were found to share largely overlapping peptide motifs. Testing panels of known DP epitopes and a panel of peptides spanning a set of Phleum pratense Ags revealed that these molecules also share largely overlapping peptide-binding repertoires. This demonstrates that a previously hypothesized DP supertype extends far beyond what was originally envisioned and includes at least three additional very common DP specificities. Taken together, these DP supertype molecules are found in >90% of the human population. Thus, these findings have important implications for epitope-identification studies and monitoring of human class II-restricted immune responses.

Quantitative peptide binding motifs for 19 human and mouse MHC class I molecules derived using positional scanning combinatorial peptide libraries.

BACKGROUND: It has been previously shown that combinatorial peptide libraries are a useful tool to characterize the binding specificity of class I MHC molecules. Compared to other methodologies, such as pool sequencing or measuring the affinities of individual peptides, utilizing positional scanning combinatorial libraries provides a baseline characterization of MHC molecular specificity that is cost effective, quantitative and unbiased. RESULTS: Here, we present a large-scale application of this technology to 19 different human and mouse class I alleles. These include very well characterized alleles (e.g. HLA A*0201), alleles with little previous data available (e.g. HLA A*3201), and alleles with conflicting previous reports on specificity (e.g. HLA A*3001). For all alleles, the positional scanning combinatorial libraries were able to elucidate distinct binding patterns defined with a uniform approach, which we make available here. We introduce a heuristic method to translate this data into classical definitions of main and secondary anchor positions and their preferred residues. Finally, we validate that these matrices can be used to identify candidate MHC binding peptides and T cell epitopes in the vaccinia virus and influenza virus systems, respectively. CONCLUSION: These data confirm, on a large scale, including 15 human and 4 mouse class I alleles, the efficacy of the positional scanning combinatorial library approach for describing MHC class I binding specificity and identifying high affinity binding peptides. These libraries were shown to be useful for identifying specific primary and secondary anchor positions, and thereby simpler motifs, analogous to those described by other approaches. The present study also provides matrices useful for predicting high affinity binders for several alleles for which detailed quantitative descriptions of binding specificity were previously unavailable, including A*3001, A*3201, B*0801, B*1501 and B*1503.

Characterization of the peptide-binding specificity of the chimpanzee class I alleles A 0301 and A 0401 using a combinatorial peptide library.

Chimpanzees represent important models for studying several human pathogens. In the present study, we utilized a combinatorial peptide library to characterize the binding specificities of the chimpanzee class I molecules Patr A 0301 and A 0401, both of which are present in about 17% of chimpanzees. Patr A 0301 was found to recognize peptides using the canonical position 2/C-terminus spacing, with the small residues S, T, and A being the most preferred in position 2, and the positively charged residues R and K preferred at the C terminus. Patr A 0401 was found to recognize a more complex motif where the C terminus and then the residue in positions 1 and/or 5 are the primary anchors. Like A 0301, the C-terminal preference of A 0401 is for positively charged residues. At positions 1 and 5, positively charged and large residues are the most preferred, respectively. Coefficient values derived from the combinatorial library proved to be an efficient means for predicting A 0301 and A 0401 binders. The present data provide detailed information to facilitate the identification of potential T cell epitopes recognized in the context of two common chimpanzee class I alleles, and further validate the combinatorial library approach as an efficient method to characterize class I binding specificities.