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HLA class I allele promiscuity revisited.

ABSTRACT: The peptide repertoire presented on human leukocyte antigen (HLA) class I molecules is largely determined by the structure of the peptide binding groove. It is expected that the molecules having similar grooves (i.e., belonging to the same supertype) might present similar/overlapping peptides. However, the extent of promiscuity among HLA class I ligands remains controversial: while in many studies T cell responses are detected against epitopes presented by alternative molecules across HLA class I supertypes and loci, peptide elution studies report minute overlaps between the peptide repertoires of even related HLA molecules. To get more insight into the promiscuous peptide binding by HLA molecules, we analyzed the HLA peptide binding data from the large epitope repository, Immune Epitope Database (IEDB), and further performed in silico analysis to estimate the promiscuity at the population level. Both analyses suggest that an unexpectedly large fraction of HLA ligands (> 50%) bind two or more HLA molecules, often across supertype or even loci. These results suggest that different HLA class I molecules can nevertheless present largely overlapping peptide sets, and that "functional" HLA polymorphism on individual and population level is probably much lower than previously anticipated.

SUBMITTER: Rao X

PROVIDER: S-EPMC3190086 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature

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HLA class I allele promiscuity revisited.

Rao Xiangyu X Hoof Ilka I Costa Ana Isabel C A Fontaine AI van Baarle Debbie D Keşmir Can C

Immunogenetics 20110622 11

The peptide repertoire presented on human leukocyte antigen (HLA) class I molecules is largely determined by the structure of the peptide binding groove. It is expected that the molecules having similar grooves (i.e., belonging to the same supertype) might present similar/overlapping peptides. However, the extent of promiscuity among HLA class I ligands remains controversial: while in many studies T cell responses are detected against epitopes presented by alternative molecules across HLA class ...[more]

PMID: 21695550

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Project description:BackgroundThe functional integrity of human leukocyte antigen low expression variants is a prerequisite for considering them as essential in the matching process of hematopoietic stem cell donors and recipients to diminish the risk of serious complications such as graft-versus-host disease or graft rejection. The HLA-A*3014L variant has a disulfide bridge missing in the alpha2 domain which could affect peptide binding and presentation to T cells.Design and methodsHLA-A*3014L and HLA-A*3001 were expressed as truncated variants and peptides were eluted and subjected to pool sequencing by Edman degradation as well as to single-peptide sequencing by mass spectrometry. Quantitative analysis of binding peptides presented in vivo was performed by a flow cytometric peptide-binding assay using HLA-A*3001 and HLA-A*3014L-expressing B-LCLs.ResultsThe truncated HLA-A*3014L protein was secreted in the supernatant and it was possible to elute and sequence peptides. Sequence analysis of these eluted peptides revealed no relevant differences to the peptide motif of HLA-A*3001, indicating that the Cys164Ser substitution does not substantially alter the spectrum of presented peptides. Strong binding of one of the shared in vivo identified HLA-A*3001/3014L ligands was confirmed in the peptide-binding assay.ConclusionsThis study is the first to demonstrate that HLA low expression variants are able to present peptides and, thus, can be considered as functionally active. When comparing peptide motifs, it is likely that HLA-A*3014L and HLA-A*3001 represent a permissive mismatch with low allogenicity in hematopoietic stem cell transplantation. These results indicate that surface expression, as well as peptide-binding data of HLA variants with similar disulfide bridge variations (e.g. HLA-A*3211Q) need to be considered as functionally active in an allogeneic hematopoietic stem cell transplantation setting as long as the opposite has not been shown. Otherwise a relevant but not considered HLA mismatch could result in a severe allogeneic T-cell response and graft-versus-host disease.

Project description:BACKGROUND:MHC class II proteins bind oligopeptide fragments derived from proteolysis of pathogen antigens, presenting them at the cell surface for recognition by CD4+ T cells. Human MHC class II alleles are grouped into three loci: HLA-DP, HLA-DQ and HLA-DR. In contrast to HLA-DR and HLA-DQ, HLA-DP proteins have not been studied extensively, as they have been viewed as less important in immune responses than DRs and DQs. However, it is now known that HLA-DP alleles are associated with many autoimmune diseases. Quite recently, the X-ray structure of the HLA-DP2 molecule (DPA*0103, DPB1*0201) in complex with a self-peptide derived from the HLA-DR ?-chain has been determined. In the present study, we applied a validated molecular docking protocol to a library of 247 modelled peptide-DP2 complexes, seeking to assess the contribution made by each of the 20 naturally occurred amino acids at each of the nine binding core peptide positions and the four flanking residues (two on both sides). RESULTS:The free binding energies (FBEs) derived from the docking experiments were normalized on a position-dependent (npp) and on an overall basis (nap), and two docking score-based quantitative matrices (DS-QMs) were derived: QMnpp and QMnap. They reveal the amino acid preferences at each of the 13 positions considered in the study. Apart from the leading role of anchor positions p1 and p6, the binding to HLA-DP2 depends on the preferences at p2. No effect of the flanking residues was found on the peptide binding predictions to DP2, although all four of them show strong preferences for particular amino acids. The predictive ability of the DS-QMs was tested using a set of 457 known binders to HLA-DP2, originating from 24 proteins. The sensitivities of the predictions at five different thresholds (5%, 10%, 15%, 20% and 25%) were calculated and compared to the predictions made by the NetMHCII and IEDB servers. Analysis of the DS-QMs indicated an improvement in performance. Additionally, DS-QMs identified the binding cores of several known DP2 binders. CONCLUSIONS:The molecular docking protocol, as applied to a combinatorial library of peptides, models the peptide-HLA-DP2 protein interaction effectively, generating reliable predictions in a quantitative assessment. The method is structure-based and does not require extensive experimental sequence-based data. Thus, it is universal and can be applied to model any peptide - protein interaction.

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HLA class I allele promiscuity revisited.

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HLA class I allele promiscuity revisited.

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