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Dynamic properties of MHC class II allotypes

Subject Area Biochemistry
Term from 2017 to 2022
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 389623510
 

Final Report Abstract

Proteins of the major histocompatibility Complex (MHC) present antigenic peptides for the surveillance by T cells, and as a consequence enable the cellular arm of adaptive immunity. MHC proteins show a large degree of genetic variation across the human population and these polymorphism impact the peptide repertoire presented by individual variants, called allotypes. For the so-called MHC class II molecules, processing of exogenous antigens typically occurs in the late endosome. At the low pH of this compartment the MHCII-like molecule HLA-DM encounters the MHCII molecules pre-loaded with the placeholder peptide CLIP. HLA-DM catalyzes peptide exchange, giving rise to stable peptide-MHCII complexes that are transported to the cell surface. Mechanistically, HLA-DM exploits dynamic features of MHCII that are altered by polymorphic variation. In this project we provide a comprehensive study of HLA- DR allotypes with regard to their dynamics and HLA-DM susceptibilities. We show that replacement of the placeholder peptide CLIP varies by a factor of ten between MHCII allotypes and that the propensity to occupy a rare dynamic intermediate accounts in part for the observed differences in exchange rates. Polymorphisms along the peptide binding groove affect the occupancy of certain conformational states of MHCII-CLIP complexes as shown by MD simulations and Markov state modeling. NMR experiments confirm that HLA-DM binding coincides with conformational dynamics and double-mutant-cycle analysis reveals allosteric coupling between polymorphic sites. Thus, dynamic feature and occupancy of excited states, a requirement for HLA-DM catalysis, are maintained even in the presence of many polymorphisms and for thermodynamically stable MHCII-peptide complexes. However, the occurrence of the conformational states is influenced by polymorphisms and thereby affects HLA-DM-catalysis and thus the presented peptide repertoire. At the cellular level, we have established an efficient mass spectrometrybased algorithm to simplify and deconvolute the complex and ambiguous peptide-level dataset from cellular immunopeptidomes by grouping identified peptides into epitopes that are subsequently analyzed. This PLAtEAU software (for Peptide Landscape Antigenic Epitope Alignment Utility) is available as a Webbased tool at our university (https://plateau.bcp.fu-berlin.de/).

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