Peptide length preferences for rat and mouse MHC class I molecules using random peptide libraries

MHC class I molecules bind short peptides for presentation to CD8⁺ T cells. The determination of the three-dimensional structure of various MHC class I complexes has revealed that both ends of the peptide binding site are composed of polar residues conserved among all human and murine MHC class I sequences, which act to lock the ends of the peptide into the groove. In the rat, however, differences in these important residues occur, suggesting the possibility that certain rat MHC class I molecules may be able to bind and present longer peptides. Here we have studied the peptide length preferences of two rat MHC class I a molecules expressed in the TAP2-deficient mouse cell line RMA-S: RT1-A1^c, which carries unusual key residues at both ends of the groove, and RT1.A^a which carries the canonical residues. Temperature-dependent peptide stabilization assays were performed using synthetic random peptide libraries of different lengths (7 – 15 amino acids) and successful stabilization was determined by FACS analysis. Results for two naturally expressed mouse MHC class I molecules revealed different length preferences (H2-K^b, 8 – 13-mer and H2-D^b, 9 – 15-mer peptides). The rat MHC class Ia molecule, RT1-A^a, revealed a preference for 9 – 15-mer peptides, whereas RT1-A1^c showed a more stringent preference for 9 – 12-mer peptides, thereby ruling out the hypothesis that unusual residues in rat MHC molecules allow binding of longer peptides.     

Tapasin edits peptides on MHC class I molecules by accelerating peptide exchange

The endoplasmic reticulum (ER) protein tapasin is essential for the loading of high‐affinity peptides onto MHC class I molecules. It mediates peptide editing, i.e. the binding of peptides of successively higher affinity until class I molecules pass ER quality control and exit to the cell surface. The molecular mechanism of action of tapasin is unknown. We describe here the reconstitution of tapasin‐mediated peptide editing on class I molecules in the lumen of microsomal membranes. We find that in a competitive situation between high‐ and low‐affinity peptides, tapasin mediates the binding of the high‐affinity peptide to class I by accelerating the dissociation of the peptide from an unstable intermediate of the binding reaction.     

Intracellular recycling and cross-presentation by MHC class I molecules

Cross-presentation of internalized antigens by dendritic cells requires efficient delivery of Major Histocompatibility Complex (MHC) class I molecules to peptide-loading compartments. Strong evidence suggests that such loading can occur outside of the endoplasmic reticulum; however, the trafficking pathways and sources of class I molecules involved are poorly understood. Examination of non-professional, non-phagocytic cells has revealed a clathrin-independent, Arf6-dependent recycling pathway likely traveled by internalized optimally loaded (closed) class I molecules. Some closed and all open MHC class I molecules travel to late endosomes to be degraded but might also partly be re-loaded with peptides and recycled. Studies of viral interference revealed pathways in which class I molecules are directed to degradation in lysosomes upon ubiquitination at the surface, or upon AP-1 and HIV-nef-dependent misrouting from the Golgi network to lysosomes. While many observations made in non-professional cells remain to be re-examined in dendritic cells, available evidence suggests that both recycling and neo-synthesized class I molecules can be loaded with cross-presented peptides. Recycling molecules can be recruited to phagosomes triggered by innate signals such as TLR4 ligands, and may therefore specialize in loading with phagocytosed antigens. In contrast, AP-1-dependent accumulation at, or trafficking through, a Golgi compartment of newly synthesized molecules appears to be important for cross-presentation of soluble proteins and possibly of long peptides that are processed in the so-called vacuolar pathway. However, significant cell biological work will be required to confirm this or any other model and to integrate knowledge on MHC class I biochemistry and trafficking in models of CD8⁺ T-cell priming by dendritic cells.     

Expression of MHC class I molecules together with antigenic peptides on filamentous phages

The availability of combinatorial T cell epitope libraries made using a phage display system would be useful for identifying the antigens recognized by T cells of unknown specificity. To this end, we have investigated here whether single chain-MHC class I molecules (scMHC-I) could be expressed together with antigenic peptides on filamentous phages. The results show that filamentous phages can express scMHC-I. Moreover, the expressed scMHC-I was able to bind antigenic peptide. These data support the use of combinatorial scMHC/T cell epitope libraries for screening potential T cell antigens.     

Predicted MHC peptide binding promiscuity explains MHC class I ‘hotspots’ of antigen presentation defined by mass spectrometry eluted ligand data

Peptides that bind to and are presented by MHC class I and class II molecules collectively make up the immunopeptidome. In the context of vaccine development, an understanding of the immunopeptidome is essential, and much effort has been dedicated to its accurate and cost‐effective identification. Current state‐of‐the‐art methods mainly comprise in silico tools for predicting MHC binding, which is strongly correlated with peptide immunogenicity. However, only a small proportion of the peptides that bind to MHC molecules are, in fact, immunogenic, and substantial work has been dedicated to uncovering additional determinants of peptide immunogenicity. In this context, and in light of recent advancements in mass spectrometry (MS), the existence of immunological hotspots has been given new life, inciting the hypothesis that hotspots are associated with MHC class I peptide immunogenicity. We here introduce a precise terminology for defining these hotspots and carry out a systematic analysis of MS and in silico predicted hotspots. We find that hotspots defined from MS data are largely captured by peptide binding predictions, enabling their replication in silico. This leads us to conclude that hotspots, to a great degree, are simply a result of promiscuous HLA binding, which disproves the hypothesis that the identification of hotspots provides novel information in the context of immunogenic peptide prediction. Furthermore, our analyses demonstrate that the signal of ligand processing, although present in the MS data, has very low predictive power to discriminate between MS and in silico defined hotspots.     

Improved methods for predicting peptide binding affinity to MHC class II molecules

Major histocompatibility complex class II (MHC‐II) molecules are expressed on the surface of professional antigen‐presenting cells where they display peptides to T helper cells, which orchestrate the onset and outcome of many host immune responses. Understanding which peptides will be presented by the MHC‐II molecule is therefore important for understanding the activation of T helper cells and can be used to identify T‐cell epitopes. We here present updated versions of two MHC–II–peptide binding affinity prediction methods, NetMHCII and NetMHCIIpan. These were constructed using an extended data set of quantitative MHC–peptide binding affinity data obtained from the Immune Epitope Database covering HLA‐DR, HLA‐DQ, HLA‐DP and H‐2 mouse molecules. We show that training with this extended data set improved the performance for peptide binding predictions for both methods. Both methods are publicly available at www.cbs.dtu.dk/services/NetMHCII-2.3 and www.cbs.dtu.dk/services/NetMHCIIpan-3.2 .     

Viral and bacterial minigene products are presented by MHC class I molecules with similar efficiencies

MHC class I molecules present short peptides, usually 8-10 amino acids in length, to CD8⁺ T cells. These peptides are typically generated from full-length endogenously synthesized proteins degraded by the antigen processing machinery of the target cell. However, exogenous proteins, whether originating from intracellular bacteria or parasites or via phagocytosis during cross-presentation, can also be processed for presentation by MHC class I molecules. It is currently not known whether endogenously synthesized proteins and proteins acquired from exogenous sources follow the same presentation pathway. One clue that the processing pathways followed by endogenous and exogenous proteins may not be identical is the vastly different presentation efficiencies reported for viral versus bacterial antigens. Because class I antigen processing involves multiple steps, we sought to determine where in the processing pathway these differences in efficiency occur. To accomplish this, we expressed identical minimal peptide determinants from viral and bacterial vectors using a minigene expression system and determined the rate of peptide-MHC generation per molecule of minigene product synthesized. We found that peptides expressed from either the viral or bacterial vector were presented with virtually identical efficiencies. These results suggest that differences in the processing pathways followed by endogenous versus exogenous proteins most likely occur at a point prior to where free peptide is liberated from full-length protein.     

Conformational changes in MHC class I molecules

In this article we review the role of MHC conformation, including peptide-induced MHC conformation, in forming antibody (Ab), T-cell receptor (TCR), and natural killer (NK) cell receptor epitopes. Abs recognize conformational major histocompatibility (MHC) epitopes that often are influenced by the identity of MHC-bound peptide. Diverse TCRs recognize a common docking site on peptide/MHC complexes and directly contact peptide. Human NK cell inhibitory receptors (KIR) appear to recognize limited regions of the HLA α₁ helix. DX9+ KIR specifically focus on HLA-B residues 82 and 83. However, NK cells recognize much broader regions of HLA class I molecules and are sensitive to bound peptides. Thus, several classes of lymphocyte receptors are peptidespecific. Peptide specificity could be the result of direct contact with the receptor, or to conformational shifts in MHC residues that interact with both receptor and bound peptide.     

Establishment of a quantitative ELISA capable of determining peptide - MHC class I interaction

Many different assays for measuring peptide-MHC interactions have been suggested over the years. Yet, there is no generally accepted standard method available. We have recently generated preoxidized recombinant MHC class I molecules (MHC-I) which can be purified to homogeneity under denaturing conditions (i.e., in the absence of any contaminating peptides). Such denatured MHC-I molecules are functional equivalents of "empty molecules". When diluted into aqueous buffer containing beta-2 microglobulin (beta2m) and the appropriate peptide, they fold rapidly and efficiently in an entirely peptide dependent manner. Here, we exploit the availability of these molecules to generate a quantitative ELISA-based assay capable of measuring the affinity of the interaction between peptide and MHC-I. This assay is simple and sensitive, and one can easily envisage that the necessary reagents, standards and protocols could be made generally available to the scientific community.     

Poor correspondence between predicted and experimental binding of peptides to class I MHC molecules

Naturally processed peptides presented by class I major histocompatibility complex (MHC) molecules display a characteristic allele specific motif of two or more essential amino acid side chains, the so-called peptide anchor residues, in the context of an 8-10 amino acid long peptide. Knowledge of the peptide binding motif of individual class I MHC molecules permits the selection of potential peptide antigens from proteins of infectious organisms that could induce protective T-cell-mediated immunity. Several methods have been developed for the prediction of potential class I MHC binding peptides. One is based on a simple scanning for the presence of primary peptide anchor residues in the sequence of interest. A more sophisticated technology is the utilization of predictive computer algorithms. Here, we have analyzed the experimental binding of 84 peptides selected on the basis of the presence of peptide binding motifs for individual class I MHC molecules. The actual binding was compared with the results obtained when analyzing the same peptides by two well-known, publicly available computer algorithms. We conclude that there is no strong correlation between actual and predicted binding when using predictive computer algorithms. Furthermore, we found a high number of false-negatives when using a predictive algorithm compared to simple scanning for the presence of primary anchor residues. We conclude that the peptide binding assay remains an important step in the identification of cytotoxic T lymphocyte (CTL) epitopes which can not be substituted by predictive algorithms.     

Efficient MHC class I-peptide binding is required but does not ensure MHC class I-restricted immunogenicity

Cytotoxic T lymphocyte (CTL) epitopes are naturally processed peptides bound and presented by major histocompatibility (MHC) class I molecules. Since they are expressed at the cell surface in sufficient amounts to be recognized by CTL, it is generally believed, and in some cases demonstrated, that they bind efficiently to MHC class I molecules in vivo. Based on this knowledge, candidate CTL epitopes are now searched for by identifying peptides that efficiently bind to MHC class I molecules in vitro. We analysed whether this approach is valid by systematically investigating the relationship between MHC class I-peptide binding and peptide immunogenicity. Fifteen peptides that represent known CTL epitopes were tested for their MHC class I binding ability. In a comparative study with 83 peptides that bear the appropriate MHC class I allele-specific motifs but do not contain known CTL epitopes, the CTL epitope-bearing peptides showed the highest binding affinity for MHC class I. This was true for two MHC class I alleles in two different assay systems that monitor peptide-MHC class I binding. Furthermore, selected motif-bearing K^b binding peptides were used to induce peptide-specific CTL responses in mice. Only a subset of the high affinity K^b binding peptides induced reproducible peptide-specific CTL responses, whereas none of the low affinity K^b binding peptides induced a response. Taken together, these results indicate that efficient peptide-MHC class I binding is required for immunogenicity. Vice versa, immunogenicity is not guaranteed by efficient peptide-MHC class I binding, implying that additional factors are involved. Nevertheless, selection of candidate CTL epitopes on the basis of MHC class I binding seems valid. Our data indicate that, although an excess of peptides might be selected, the chance of missing immunogenic peptides is minimal.     

Identification of woodchuck class I MHC antigens using monoclonal antibodies

Abstract: Two class I major histocompatibility complex (MHC) proteins with molecular masses of 43- and 39-kDa were identified in the cell surface membranes of normal woodchucks using a newly developed anti-woodchuck class I monoclonal antibody (mAb) B1b.B9 and immuno-blotting. B1b.B9 was generated by immunizing mice with viable wood-chuck peripheral blood mononuclear cells and was selected for anti-class I MHC reactivity using a cellular enzyme–linked immunoassay, indirect immunofluorescence on tissue sections and flow cytofluorimetry. The distribution pattern of class I MHC antigen on woodchuck lymphoid cells was found to be similar to that reported in other species. Also, the antigen expression on normal woodchuck hepatocytes was comparable to that observed on normal human liver parenchymal cells; thus, the antigen was not detected on hepatocytes by staining of liver tissue sections, but was found by indirect immunofluorescence staining of isolated liver cells. Western blot analysis of the plasma membranes from normal woodchuck hepatocytes revealed the presence of a single species of class I MHC heavy chain protein with a molecular mass of 43-kDa, whereas splenocyte plasma membranes showed intense expression of a 43-kDa species, as well as the presence of a 39-kDa protein. The 39- and 43-kDa proteins were extracted with Triton X-114 to the hydrophobic protein phase, suggesting that they both contain a hydrophobic transmembrane domain. The data obtained indicate that the B1b.B9 identifies a nonpolymorphic epitope of woodchuck class I MHC heavy chains, providing an important reagent for the study of the pathogenesis of hepatitis B virus infection in a woodchuck model.     

Polymorphism analysis of four canine MHC class I genes

Abstract: We have studied the variability of four structurally complete dog leukocyte antigen (DLA) class I genes, termed DLA-12, -88, -79 and -64, in a population of mixed breed, unrelated dogs. The human HLA and canine DLA loci share a high degree of similarity in terms of gene structure. This analysis focused on the first three exons of each of four complete canine genes. Exons two and three are the major source of polymorphism in the corresponding human genes. In this analysis, DLA-88 was found to be significantly more polymorphic than the other three genes, with 44 distinct alleles observed among 63 mixed breed, unrelated dogs. The remaining genes had between one and four alleles when examined in 25 dogs. This work was carried out as part of an effort to develop an MHC typing system for the dog, which is critical to the further development of preclinical studies of hematopoietic stem cell and solid organ transplantation in the canine model.     

Machine learning reveals a non‐canonical mode of peptide binding to MHC class II molecules

MHC class II molecules play a fundamental role in the cellular immune system: they load short peptide fragments derived from extracellular proteins and present them on the cell surface. It is currently thought that the peptide binds lying more or less flat in the MHC groove, with a fixed distance of nine amino acids between the first and last residue in contact with the MHCII. While confirming that the great majority of peptides bind to the MHC using this canonical mode, we report evidence for an alternative, less common mode of interaction. A fraction of observed ligands were shown to have an unconventional spacing of the anchor residues that directly interact with the MHC, which could only be accommodated to the canonical MHC motif either by imposing a more stretched out peptide backbone (an 8mer core) or by the peptide bulging out of the MHC groove (a 10mer core). We estimated that on average 2% of peptides bind with a core deletion, and 0·45% with a core insertion, but the frequency of such non‐canonical cores was as high as 10% for certain MHCII molecules. A mutational analysis and experimental validation of a number of these anomalous ligands demonstrated that they could only fit to their MHC binding motif with a non‐canonical binding core of length different from nine. This previously undescribed mode of peptide binding to MHCII molecules gives a more complete picture of peptide presentation by MHCII and allows us to model more accurately this event.     

A sensitive fluorometric assay for quantitatively measuring specific peptide binding to HLA class I and class II molecules

A sensitive, highly reproducible assay was developed for measuring binding of peptides to various HLA class I and II alleles. The assay is based on competition for binding to HLA between a peptide of interest and a fluorescent labelled standard peptide. This mixture is incubated with HLA to obtain equilibrium binding, and subsequently separated on an HPLC size-exclusion column in (i) a protein fraction containing HLA and bound peptide and (ii) a free peptide fraction. Each assay uses only 100 fmol labelled peptide and approximately 10 pmol of HLA. The analytical system contains an autosampler that samples from 96-well microtiter plates. Injections and data recording/evaluation is fully automated. Typical analysis time is 10–12 min per sample. The fluorescence in the HLA-bound peptide and free peptide containing fractions is measured on-line. The ratios of fluorescence signal in protein and peptide fractions at various concentrations of the peptide of interest are determined. IC₅₀ values are calculated from the binding curve as obtained by curve fitting of the data. Here we show results for peptide binding to HLA-DR1 and -DR17 molecules purified from detergent solubilized cell lysates, and for recombinant HLA-A^* 0201 and HLA-A^* 0301 expressed in E. coli.

The assay reported is sensitive and reproducible. It is non-radioactive and is non-labor intensive due to the high degree of automation.     

The making of the dominant MHC class I ligand SYFPEITHI

The proteasome contributes to the generation of most of the peptide ligands of MHC class I molecules. To compare the identity of the peptides generated by the proteasome with those finally presented by MHC class I molecules, we generated a monoclonal antibody recognizing the C-terminal part of the dominant H2-K ^d ligand SYFPEITHI derived from the JAK1 tyrosine kinase. Immunoprecipitations of lysates from H2-K ^d -expressing or non-expressing cells revealed that only in the presence of H2-K ^d SYFPEITHI could be isolated. No longer potential precursor peptide containing SYFPEITHI could be detected. Surprisingly, a peptide lacking the first two amino acids, FPEITHI, was isolated independently of the presence of H2-K ^d molecules. The detection of only SYFPEITHI and FPEITHI in cell lysates corresponded with the strong generation of these two peptides in in vitro digests of elongated SYFPEITHI-containing peptides with purified 20S proteasomes. Our results indicate that MHC ligands can be generated directly by the proteasome in vivo and that at least for SYF PEITHI the expression of the corresponding MHC molecule is critical for protection of the ligand in vivo.     

The E5 oncoprotein of BPV-4 does not interfere with the biosynthetic pathway of non-classical MHC class I

The major histocompatibility complex (MHC) class I region in mammals contains both classical and non-classical MHC class I genes. Classical MHC class I molecules present antigenic peptides to cytotoxic T lymphocytes, whereas non-classical MHC class I molecules have a variety of functions. Both classical and non-classical MHC molecules interact with natural killer cell receptors and may under some circumstances prevent cell death by natural killer cytotoxicity. The E5 oncoprotein of BPV-4 down-regulates the expression of classical MHC class I on the cell surface and retains the complex in the Golgi apparatus. The inhibition of classical MHC class I to the cell surface results from both the impaired acidification of the Golgi, due to the interaction of E5 with subunit c of the H+ V-ATPase, and to the physical binding of E5 to the heavy chain of MHC class I. Despite the profound effect of E5 on classical MHC class I, E5 does not retain a non-classical MHC class I in the Golgi, does not inhibit its transport to the cell surface and does not bind its heavy chain. We conclude that, as is the case for HPV-16 E5, BPV-4 E5 does not down-regulate certain non-classical MHC class I, potentially providing a mechanism for the escape of the infected cell from attack by both cytotoxic T lymphocytes and NK cells.     

An integrative approach to CTL epitope prediction: a combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions

Reverse immunogenetic approaches attempt to optimize the selection of candidate epitopes, and thus minimize the experimental effort needed to identify new epitopes. When predicting cytotoxic T cell epitopes, the main focus has been on the highly specific MHC class I binding event. Methods have also been developed for predicting the antigen-processing steps preceding MHC class I binding, including proteasomal cleavage and transporter associated with antigen processing (TAP) transport efficiency. Here, we use a dataset obtained from the SYFPEITHI database to show that a method integrating predictions of MHC class I binding affinity, TAP transport efficiency, and C-terminal proteasomal cleavage outperforms any of the individual methods. Using an independent evaluation dataset of HIV epitopes from the Los Alamos database, the validity of the integrated method is confirmed. The performance of the integrated method is found to be significantly higher than that of the two publicly available prediction methods BIMAS and SYFPEITHI. To identify 85% of the epitopes in the HIV dataset, 9% and 10% of all possible nonamers in the HIV proteins must be tested when using the BIMAS and SYFPEITHI methods, respectively, for the selection of candidate epitopes. This number is reduced to 7% when using the integrated method. In practical terms, this means that the experimental effort needed to identify an epitope in a hypothetical protein with 85% probability is reduced by 20-30% when using the integrated method.The method is available at http://www.cbs.dtu.dk/services/NetCTL. Supplementary material is available at http://www.cbs.dtu.dk/suppl/immunology/CTL.php.     

Co-evolution of MHC class I and variable NK cell receptors in placental mammals

Shaping natural killer (NK) cell functions in human immunity and reproduction are diverse killer cell immunoglobulin-like receptors (KIRs) that recognize polymorphic MHC class I determinants. A survey of placental mammals suggests that KIRs serve as variable NK cell receptors only in certain primates and artiodactyls. Divergence of the functional and variable KIRs in primates and artiodactyls predates placental reproduction. Among artiodactyls, cattle but not pigs have diverse KIRs. Catarrhine (humans, apes, and Old World monkeys) and platyrrhine (New World monkeys) primates, but not prosimians, have diverse KIRs. Platyrrhine and catarrhine systems of KIR and MHC class I are highly diverged, but within the catarrhines, a stepwise co-evolution of MHC class I and KIR is discerned. In Old World monkeys, diversification focuses on MHC-A and MHC-B and their cognate lineage II KIR. With evolution of C1-bearing MHC-C from MHC-B, as informed by orangutan, the focus changes to MHC-C and its cognate lineage III KIR. Evolution of C2 from C1 and fixation of MHC-C drove further elaboration of MHC-C-specific KIR, as exemplified by chimpanzee. In humans, the evolutionary trajectory changes again. Emerging from reorganization of the KIR locus and selective attenuation of KIR avidity for MHC class I are the functionally distinctive KIR A and KIR B haplotypes.