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Identification of the lateral interaction surfaces of human histocompatibility leukocyte antigen (HLA)-DM with HLA-DR1 by formation of tethered complexes that present enhanced HLA-DM catalysis.

ABSTRACT: Human histocompatibility leukocyte antigen (HLA)-DM is a major histocompatibility complex (MHC)-like protein that catalyzes exchange of antigenic peptides from MHC class II molecules. To investigate the molecular details of this catalysis we created four covalent complexes between HLA-DM and the MHC class II allele DR1. We introduced a disulfide bond between the naturally occurring cysteine beta46 on HLA-DM and an engineered cysteine on the end of a linker attached to either the NH(2)- or the COOH terminus of an antigenic peptide that is tightly bound on DR1. We find that when DM is attached to the NH(2) terminus of the peptide, it can, for all linker lengths tested, catalyze exchange of the peptide with a half-life a few minutes (compared with uncatalyzed t(1/2) > 100 h). This rate, which is several orders of magnitude greater than the one we obtain in solution assays using micromolar concentrations of HLA-DM, is dominated by a concentration independent factor, indicating an intramolecular catalytic interaction within the complex. A similar complex formed at the COOH terminus of the peptide shows no sign of DM-specific intramolecular catalysis. Restrictions on the possible interaction sites imposed by the length of the linkers indicate that the face of DR1 that accommodates the NH(2) terminus of the antigenic peptide interacts with the lateral face of HLA-DM that contains cysteine beta46.

SUBMITTER: Stratikos E

PROVIDER: S-EPMC2193930 | biostudies-literature | 2002 Jul

REPOSITORIES: biostudies-literature

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Identification of the lateral interaction surfaces of human histocompatibility leukocyte antigen (HLA)-DM with HLA-DR1 by formation of tethered complexes that present enhanced HLA-DM catalysis.

Stratikos Efstratios E Mosyak Lidia L Zaller Dennis M DM Wiley Don C DC

The Journal of experimental medicine 20020701 2

Human histocompatibility leukocyte antigen (HLA)-DM is a major histocompatibility complex (MHC)-like protein that catalyzes exchange of antigenic peptides from MHC class II molecules. To investigate the molecular details of this catalysis we created four covalent complexes between HLA-DM and the MHC class II allele DR1. We introduced a disulfide bond between the naturally occurring cysteine beta46 on HLA-DM and an engineered cysteine on the end of a linker attached to either the NH(2)- or the CO ...[more]

PMID: 12119342

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Project description:The major histocompatibility complex of class II (MHCII) immunopeptidome represents the repertoire of antigenic peptides with the potential to activate CD4+ T cells. An understanding of how the relative abundance of specific antigenic epitopes affects the outcome of T cell responses is an important aspect of adaptive immunity and offers a venue to more rationally tailor T cell activation in the context of disease. Recent advances in mass spectrometric instrumentation, computational power, labeling strategies, and software analysis have enabled an increasing number of stratified studies on HLA ligandomes, in the context of both basic and translational research. A key challenge in the case of MHCII immunopeptidomes, often determined for different samples at distinct conditions, is to derive quantitative information on consensus epitopes from antigenic peptides of variable lengths. Here, we present the design and benchmarking of a new algorithm [peptide landscape antigenic epitope alignment utility (PLAtEAU)] allowing the identification and label-free quantification (LFQ) of shared consensus epitopes arising from series of nested peptides. The algorithm simplifies the complexity of the dataset while allowing the identification of nested peptides within relatively short segments of protein sequences. Moreover, we apply this algorithm to the comparison of the ligandomes of cell lines with two different expression levels of the peptide-exchange catalyst HLA-DM. Direct comparison of LFQ intensities determined at the peptide level is inconclusive, as most of the peptides are not significantly enriched due to poor sampling. Applying the PLAtEAU algorithm for grouping of the peptides into consensus epitopes shows that more than half of the total number of epitopes is preferentially and significantly enriched for each condition. This simplification and deconvolution of the complex and ambiguous peptide-level dataset highlights the value of the PLAtEAU algorithm in facilitating robust and accessible quantitative analysis of immunopeptidomes across cellular contexts. In silico analysis of the peptides enriched for each HLA-DM expression conditions suggests a higher affinity of the pool of peptides isolated from the high DM expression samples. Interestingly, our analysis reveals that while for certain autoimmune-relevant epitopes their presentation increases upon DM expression others are clearly edited out from the peptidome.

Dataset Information

Identification of the lateral interaction surfaces of human histocompatibility leukocyte antigen (HLA)-DM with HLA-DR1 by formation of tethered complexes that present enhanced HLA-DM catalysis.

Publications

Identification of the lateral interaction surfaces of human histocompatibility leukocyte antigen (HLA)-DM with HLA-DR1 by formation of tethered complexes that present enhanced HLA-DM catalysis.

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