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Celiac disease is caused by an abnormal intestinal T cell response to cereal gluten proteins. The disease has a strong human leukocyte antigen (HLA) association, and CD4+ T cells recognizing gluten epitopes presented by disease-associated HLA-DQ allotypes are considered to be drivers of the disease. This paper provides an update of the currently known HLA-DQ restricted gluten T cell epitopes with their names and sequences. [ABSTRACT FROM AUTHOR]

Celiac disease is a chronic inflammatory condition of the small intestine caused by aberrant adaptive immune response to gluten protein from wheat and related cereal plants. Over 90% of celiac disease patients carry the HLA-DQ2.5 allotype and HLA-DQ2.5 presents gluten peptides to gluten-reactive CD4+ T cells in celiac disease patients. A large number of HLA-DQ2.5-restricted gluten T cell epitopes have been identified over the years. These epitopes are in general proline-rich and contain at least one glutamic acid residue that is generated from glutamine in the native gluten protein by deamidation. The deamidation is mediated by the enzyme transglutaminase 2 (TG2). It has been shown that the same T cell could recognize several different HLA-DQ2.5-restricted gluten T cell epitopes due to sequence similarities. In this paper, we demonstrate that three T cell clones derived from duodenal biopsies of different celiac disease patients are able to respond to at least five different gluten T cell epitopes within the DQ2.5-glia-γ4 epitope family, including two novel epitopes. [ABSTRACT FROM AUTHOR]

The utility of the rhesus macaque as an animal model in both HIV vaccine development and pathogenesis studies necessitates the development of accurate and efficient major histocompatibility complex (MHC) genotyping technologies. In this paper, we describe the development and application of allele-specific polymerase chain reaction (PCR) amplification for the simultaneous detection of eight MHC class I alleles from the rhesus macaque ( Macaca mulatta) of Indian descent. These alleles were selected, as they have been implicated in the restriction of CD8+ T cell epitopes of simian immunodeficiency virus (SIV). Molecular typing of Mamu- A*01, Mamu-A*02, Mamu-A*08, Mamu-A*11, Mamu-B*01, Mamu-B*03, Mamu-B*04, and Mamu-B*17 was conducted in a high throughput fashion using genomic DNA. Our amplification strategy included a conserved internal control target to minimize false negative results and can be completed in less than 5 h. We have genotyped over 4,000 animals to establish allele frequencies from colonies all over the western hemisphere. The ability to identify MHC-defined rhesus macaques will greatly enhance investigation of the immune responses, which are responsible for the control of viral replication. Furthermore, application of this technically simple and accurate typing method should facilitate selection, utilization, and breeding of rhesus macaques for AIDS virus pathogenesis and vaccine studies. [ABSTRACT FROM AUTHOR]

Autoantibody responses against conformational epitopes of myelin/oligodendrocyte glycoprotein (MOG) possess myelin destructive potential, as demonstrated in the marmoset model of human multiple sclerosis (MS) and in some rodent models of experimental allergic encephalomyelitis. We have previously characterized monoclonal Fab fragments specific for conformational epitopes of MOG that were derived from a combinatorial antibody library generated from a MOG-immune marmoset. In this paper, we address the molecular heterogeneity of humoral responses against MOG in this outbred model of MS by studying additional antibody clones derived from a genetically unrelated animal. We find that all MOG-specific IgGκ Fab fragments, unrelated to genetic make-up, utilize a restricted set of variable region genes, IGHV1 and IGHV3 for the H chain and IGKV1, IGKV3, and IGKV5 for the L chain. Despite these restricting factors, diversity within these antibody repertoires can be observed, predominantly within the H-chain CDR3 regions. Our findings suggest that only a limited set of Ig genes is necessary to launch a diverse, destructive humoral immune response against a single CNS antigen in primates. These results are the first to contribute to a better understanding of how myelin-directed and potentially destructive autoantibody responses may develop in human MS. [ABSTRACT FROM AUTHOR]

Vaccination clearly decreases coronavirus disease 2019 (COVID-19) mortality; however, they also impose selection pressure on the virus, which promotes the evolution of immune escape variants. For example, despite the high vaccination level in especially Western countries, the Omicron variant caused millions of breakthrough infections, suggesting that the highly mutated spike protein in the Omicron variant can escape antibody immunity much more efficiently than the other variants of concern (VOCs). In this study, we investigated the resistance/susceptibility of T helper cell responses that are necessary for generating efficient long-lasting antibody immunity, in several VOCs. By predicting T helper cell epitopes on the spike protein for most common HLA-DRB1 alleles worldwide, we found that although most of high frequency HLA-DRB1 alleles have several potential T helper cell epitopes, few alleles like HLA-DRB1 13:01 and 11:01 are not predicted to have any significant T helper cell responses after vaccination. Using these predictions, a population based on realistic human leukocyte antigen-II (HLA-II) frequencies were simulated to visualize the T helper cell immunity on the population level. While a small fraction of this population had alarmingly little predicted CD4 T cell epitopes, the majority had several epitopes that should be enough to generate efficient B cell responses. Moreover, we show that VOC spike mutations hardly affect T helper epitopes and mainly occur in other residues of the spike protein. These results suggest that lack of long-lasting antibody responses is not likely due to loss of T helper cell epitopes in new VOCs. [ABSTRACT FROM AUTHOR]

A rise in drug-resistant tuberculosis (TB) cases demands continued efforts towards the discovery and development of drugs and vaccines. Secretory proteins of Mycobacterium tuberculosis (H37Rv) are frequently studied for their antigenicity and their scope as protein subunit vaccines requires further analysis. In this study, Rv3899c of H37Rv emerges as a potential vaccine candidate on its evaluation by several bioinformatics tools. It is a non-toxic, secretory protein with an 'immunoglobulin-like' fold which does not show similarity with a human protein. Through BlastP and MEME suite analysis, we found Rv3899c homologs in several mycobacterial species and its antigenic score (0.54) to compare well with the known immunogens such as ESAT-6 (0.56) and Rv1860 (0.52). Structural examination of Rv3899c predicted ten antigenic peptides, an accessibility profile of the antigenic determinants constituting B cell epitope-rich regions and a low abundance of antigenic regions (AAR) value. Significantly, STRING analysis showed ESX-2 secretion system proteins and antigenic PE/PPE proteins of H37Rv as the interacting partners of Rv3899c. Further, molecular docking predicted Rv3899c to interact with human leukocyte antigen HLA-DRB1*04:01 through its antigenically conserved motif (RAAEQQRLQRIVDAVARQEPRISWAAGLRDDGTT). Interestingly, the binding affinity was observed to increase on citrullination of its Arg1 residue. Taken together, the computational characterization and predictive information suggest Rv3899c to be a promising TB vaccine candidate, which should be validated experimentally. [ABSTRACT FROM AUTHOR]

The main objective of antigen processing is to orchestrate the selection of immunodominant epitopes for recognition by CD4 T cells. To achieve this, MHC class II molecules have evolved with a flexible peptide-binding groove in need of a bound peptide. Newly synthesized MHC-II molecules bind a class II invariant chain (Ii) upon synthesis and are shuttled to a specialized compartment, where they encounter exogenous antigens. Ii serves multiple functions, one of which is to maintain the shape of the MHC-II groove so that it can readily bind exogenous antigens upon dissociation of the Ii peptide in MHC- II compartment. MIIC contains processing enzymes, one or both accessory molecules, HLA-DM/H2-M (DM) and HLA-DO/H2-O (DO), and optimal denaturing conditions. In a process known as "editing," DM facilitates the dissociation of the invariant chain peptide, CLIP, for exchange with exogenous antigens. Despite the availability of mechanistic insights into DM functions, understanding how DO contributes to epitope selection has proven to be more challenging. The current dogma assumes that DO inhibits DM, whereas an opposing model suggests that DO fine-tunes the epitope selection process. Understanding which of these, or potentially other models of DO function is important, as DO variants have been linked to autoimmunity, cancer, and the generation of broadly neutralizing antibodies to viruses. This review therefore attempts to evaluate experimental evidence in support of these hypotheses, with an emphasis on the less discussed model, and to explore intriguing questions about the importance of DO in biology. [ABSTRACT FROM AUTHOR]

Current T cell epitope prediction tools are a valuable resource in designing targeted immunogenicity experiments. They typically focus on, and are able to, accurately predict peptide binding and presentation by major histocompatibility complex (MHC) molecules on the surface of antigen-presenting cells. However, recognition of the peptide-MHC complex by a T cell receptor (TCR) is often not included in these tools. We developed a classification approach based on random forest classifiers to predict recognition of a peptide by a T cell receptor and discover patterns that contribute to recognition. We considered two approaches to solve this problem: (1) distinguishing between two sets of TCRs that each bind to a known peptide and (2) retrieving TCRs that bind to a given peptide from a large pool of TCRs. Evaluation of the models on two HIV-1, B*08-restricted epitopes reveals good performance and hints towards structural CDR3 features that can determine peptide immunogenicity. These results are of particular importance as they show that prediction of T cell epitope and T cell epitope recognition based on sequence data is a feasible approach. In addition, the validity of our models not only serves as a proof of concept for the prediction of immunogenic T cell epitopes but also paves the way for more general and high-performing models. [ABSTRACT FROM AUTHOR]

Here we describe a detailed quantitative peptide-binding motif for the common equine leukocyte antigen (ELA) class I allele Eqca-1*00101, present in roughly 25 % of Thoroughbred horses. We determined a preliminary binding motif by sequencing endogenously bound ligands. Subsequently, a positional scanning combinatorial library (PSCL) was used to further characterize binding specificity and derive a quantitative motif involving aspartic acid in position 2 and hydrophobic residues at the C-terminus. Using this motif, we selected and tested 9- and 10-mer peptides derived from the equine herpesvirus type 1 (EHV-1) proteome for their capacity to bind Eqca-1*00101. PSCL predictions were very efficient, with an receiver operating characteristic (ROC) curve performance of 0.877, and 87 peptides derived from 40 different EHV-1 proteins were identified with affinities of 500 nM or higher. Quantitative analysis revealed that Eqca-1*00101 has a narrow peptide-binding repertoire, in comparison to those of most human, non-human primate, and mouse class I alleles. Peripheral blood mononuclear cells from six EHV-1-infected, or vaccinated but uninfected, Eqca-1*00101-positive horses were used in IFN-γ enzyme-linked immunospot (ELISPOT) assays. When we screened the 87 Eqca-1*00101-binding peptides for T cell reactivity, only one Eqca-1*00101 epitope, derived from the intermediate-early protein ICP4, was identified. Thus, despite its common occurrence in several horse breeds, Eqca-1*00101 is associated with a narrow binding repertoire and a similarly narrow T cell response to an important equine viral pathogen. Intriguingly, these features are shared with other human and macaque major histocompatibility complex (MHC) molecules with a similar specificity for D in position 2 or 3 in their main anchor motif. [ABSTRACT FROM AUTHOR]

Major histocompatibility complex (MHC) class I molecules regulate adaptive immune responses through the presentation of antigenic peptides to CD8+ T cells. Polymorphisms in the peptide binding region of class I molecules determine peptide binding affinity and stability during antigen presentation, and different antigen peptide motifs are associated with specific genetic sequences of class I molecules. Understanding bovine leukocyte antigen (BoLA), peptide-MHC class I binding specificities may facilitate development of vaccines or reagents for quantifying the adaptive immune response to intracellular pathogens, such as foot-and-mouth disease virus (FMDV). Six synthetic BoLA class I (BoLA-I) molecules were produced, and the peptide binding motif was generated for five of the six molecules using a combined approach of positional scanning combinatorial peptide libraries (PSCPLs) and neural network-based predictions ( NetMHCpan). The updated NetMHCpan server was used to predict BoLA-I binding peptides within the P1 structural polyprotein sequence of FMDV (strain A24 Cruzeiro) for BoLA-1*01901, BoLA-2*00801, BoLA-2*01201, and BoLA-4*02401. Peptide binding affinity and stability were determined for these BoLA-I molecules using the luminescent oxygen channeling immunoassay (LOCI) and scintillation proximity assay (SPA). The functional diversity of known BoLA alleles was predicted using the MHCcluster tool, and functional predictions for peptide motifs were compared to observed data from this and prior studies. The results of these analyses showed that BoLA alleles cluster into three distinct groups with the potential to define 'BoLA supertypes.' This streamlined approach identifies potential T cell epitopes from pathogens, such as FMDV, and provides insight into T cell immunity following infection or vaccination. [ABSTRACT FROM AUTHOR]

Viral epitopes have a distinct codon usage that reflects their dual role in infection and immunity. On the one hand, epitopes are part of proteins important to viral function; on the other hand, they are targets of the immune response. Studies of selection are most commonly based on changes of amino acid and seen through the accumulation of non-synonymous mutations. An independent measure of selection is the codon usage and underlying changeability of the nucleotide sequences. We here use multiple tools and a large-scale analysis of viral genomes to demonstrate that viral epitopes have a distinct codon usage and that this codon usage reflects distinct short- and long-term types of selection during viral evolution. We show that CD8 T cell epitopes are encoded by codons more distant from stop codons and more changeable than codons outside epitopes. This biased codon usage reflects the viral population toggling back and forth from a wild-type sequence to an escape mode, which enable them to avoid immune detection when needed, and go back to the functionally favorable form when the threat is removed (i.e., in a new host). [ABSTRACT FROM AUTHOR]

We studied the relationship between human leukocyte antigen (HLA) class I alleles and cervical cancer among Indian women. Seventy-five cervical cancer cases were compared with 175 noncancer controls. Cervical biopsy tissue specimen from cancer cases and cervical swab specimen from controls were collected for HPV detection and typing. Blood was taken for HLA typing by PCR-SSOP method. The impact of HLA class I alleles on cervical cancer risk was evaluated using StatCalc program (Epi Info version 6.0.4. CDC Atlanta, GA, USA), and confirmed with Bonferroni correction. Results revealed HLA-B*37, HLA-B*58 were associated significantly with increased risk while HLA-B*40 with decreased risk for cervical cancer. At high-resolution analysis after Bonferroni correction, HLA-B*37:01 allele was associated with increased risk, whereas HLA-B*40:06 was with decreased risk for cervical cancer. HLA-B*37:01 and HLA-B*40:06 belong to the same superfamily of HLA-B44. In silico analysis revealed different binding affinities of HLA-B*37:01 and HLA-B*40:06 for the epitopes predicted for E6 and L1 proteins of HPV16. The higher binding affinity of epitopes to B*40:06, as revealed by docking studies, supports the hypothesis that this allele is able to present the antigenic peptides more efficiently than B*37:01 and thereby can protect the carriers from the risk of cervical cancer. Thus, there is a clear indication that HLA plays an important role in the development of cervical cancer in HPV-infected women. Identification of these factors in high-risk HPV-infected women may help in reducing the cervical cancer burden in India. [ABSTRACT FROM AUTHOR]

Multiple factors determine the ability of a peptide to elicit a cytotoxic T cell lymphocyte response. Binding to a major histocompatibility complex class I (MHC-I) molecule is one of the most essential factors, as no peptide can become a T cell epitope unless presented on the cell surface in complex with an MHC-I molecule. As such, peptide-MHC (pMHC) binding affinity predictors are currently the premier methods for T cell epitope prediction, and these prediction methods have been shown to have high predictive performances in multiple studies. However, not all MHC-I binders are T cell epitopes, and multiple studies have investigated what additional factors are important for determining the immunogenicity of a peptide. A recent study suggested that pMHC stability plays an important role in determining if a peptide can become a T cell epitope. Likewise, a T cell propensity model has been proposed for identifying MHC binding peptides with amino acid compositions favoring T cell receptor interactions. In this study, we investigate if improved accuracy for T cell epitope discovery can be achieved by integrating predictions for pMHC binding affinity, pMHC stability, and T cell propensity. We show that a weighted sum approach allows pMHC stability and T cell propensity predictions to enrich pMHC binding affinity predictions. The integrated model leads to a consistent and significant increase in predictive performance and we demonstrate how this can be utilized to decrease the experimental workload of epitope screens. The final method, NetTepi, is publically available at . [ABSTRACT FROM AUTHOR]

Killer cell immunoglobulin-like receptor ( KIR) genes are expressed by natural killer cells and encoded by a family of genes exhibiting considerable haplotypic and allelic variation. HLA-C molecules, the dominant ligands for KIR, are present in all individuals and are discriminated by two KIR epitopes, C1 and C2. We studied the frequencies of KIR genes and HLA- C1 and C2 groups in a large cohort ( n = 492) from Kampala, Uganda, East Africa and compared our findings with published data from other populations in sub-Saharan Africa (SSA) and several European populations. We find considerably more KIR diversity and weaker linkage disequilibrium in SSA compared to the European populations and describe several novel KIR genotypes. C1 and C2 frequencies were similar to other SSA populations with a higher frequency of the C2 epitope (54.9 %) compared to Europe (average 39.7 %). Analysis of this large cohort from Uganda in the context of other African populations reveals variations in KIR and HLA- C1 and C2 that are consistent with migrations within Africa and potential selection pressures on these genes. Our results will help understand how KIR/ HLA- C interactions contribute to resistance to pathogens and reproductive success. [ABSTRACT FROM AUTHOR]

Classic ways to determine MHC restriction involve inhibition with locus-specific antibodies and antigen presentation assays with panels of cell lines matched or mismatched at the various loci of interest. However, these determinations are often complicated by T cell epitope degeneracy and promiscuity. We describe a selection of 46 HLA DR, DQ, and DP specificities that provide worldwide population (phenotypic) coverage of almost 90 % at each locus, and account for over 66 % of all genes at each locus. This panel afforded coverage of at least four HLA class II alleles in over 95 % of the individuals in four study populations of diverse ethnicity from the USA and South Africa. Next, a panel of single HLA class II-transfected cell lines, corresponding to these 46 allelic variants was assembled, consisting of lines previously developed and 15 novel lines generated for the present study. The novel lines were validated by assessing their HLA class II expression by FACS analysis, the in vitro peptide binding activity of HLA molecules purified from the cell lines, and their antigen presenting capacity to T cell lines of known restriction. We also show that these HLA class II-transfected cell lines can be used to rapidly and unambiguously determine HLA restriction of epitopes recognized by an individual donor in a single experiment. This panel of lines will enable high throughput determination of HLA restriction, enabling better characterization of HLA class II-restricted T cell responses and facilitating the development of HLA tetrameric staining reagents. [ABSTRACT FROM AUTHOR]

Raising tumor-specific allorestricted T cells in vitro for adoptive transfusion is expected to circumvent host tumor tolerance. However, it has been assumed that alloreactive T cell clones activated in vitro ranges from peptide-specific with high avidity to peptide-degenerate with low avidity. In this study, we examined the peptide specificity and cross-reactivity of T cell responses in vitro to an allogeneic epitope and a nominal epitope with a modified co-culture of lymphocytes and autologous monocytes. After binding to the monocyte via the interaction of its Fc part and the cell surface IgG Fc receptor type I (FcγRI), a fusion protein consisting of the extracellular domains of HLA-A2 molecule and the Fc region of IgG1 (the dimer) introduced a single epitope into the co-culture. The dimer-coated monocytes stimulated the proliferation of autologous CD8 T cells after co-culturing. The CD8 T cell responses were self-HLA-restricted for HLA-A2-positive (HLA-A2+ve) samples and allo-HLA-restricted for HLA-A2-negative (HLA-A2-ve) samples, since the co-cultural bulks stained with HLA-A2 tetramers, human interferon-gamma (IFN-γ) production in response to T cell receptor (TCR) ligands, and cytotoxicity against a panel of target cells exhibited peptide-specific properties. Two HLA-A2-restricted peptides with sequence homology were included, allowing the comparison of cross-reactivity between allo-antigen- and nominal antigen-induced CD8 T cell responses. Interestingly, the allo- and self-HLA-restricted CD8 T cell responses were similar in the peptide cross-reactivity, although the allorestricted T cell response seemed, overall, more intensive and had higher binding affinity to specific tetramer. Our findings indicated the alloreactive T cells raised by the co-culture in vitro were as peptide specific and cross-reactive as the self-HLA-restricted ones. [ABSTRACT FROM AUTHOR]

It was previously shown that chronic myeloid leukemia (CML) patients transplanted with peripheral blood progenitor cells (PBPC) from HLA-C allele-matched donors had better clinical outcome when lacking the HLA-C-encoded KIR epitope C2. We investigated whether this holds true in other diseases and in HLA-C allele-mismatched patients. Twenty-four myelodysplastic syndrome (MDS), 39 acute myeloid leukemia (AML)/CML, and 34 acute lymphoblastic leukemia/non-Hodgkin lymphoma patients received unrelated unmanipulated PBPC. HLA matching was analyzed retrospectively (including DNA-based direct sequencing of HLA-C). Only in AML/CML, the C2 ligand was associated with impaired overall survival (OS, p < 0.05). We next calculated the impact of donor/recipient HLA-C allele matching within the C1 and C2 groups. Surprisingly, AML/CML and MDS patients with C2 ligands profited from HLA-C allele mismatching (OS, p < 0.01), whereas in the C1 group, allele matching was beneficial ( p < 0.05). HLA-C allele mismatching in the C2 KIR ligand group was associated with lower TRM (OR 0.48, p < 0.009) and lower relapse rate (OR 2.7 p < 0.1) when compared to allele-matched C2 patients. Thus, patients could be assigned to a low- and a high-risk group according to their C1/C2 ligand status and the HLA-C allele matching degree. These data suggest that four-digit allele matching of HLA-C has differential effects dependent on the presence of C1 and C2 KIR epitopes in the patient. [ABSTRACT FROM AUTHOR]

Here, we present results for DPA1 and DPB1 four-digit allele-level typing in a large ( n = 5,944) sample of unrelated European American stem cell donors previously characterized for other class I and class II loci. Examination of genetic data for both chains of the DP heterodimer in the largest cohort to date, at the amino acid epitope, allele, genotype, and haplotype level, allows new insights into the functional units of selection and association for the DP heterodimer. The data in this study suggest that for the DPA1-DPB1 heterodimer, the unit of selection is the combined amino acid epitope contributed by both the DPA1 and DPB1 genes, rather than the allele, and that patterns of LD are driven primarily by dimer stability and conformation of the P1 pocket. This may help explain the differential pattern of allele frequency distribution observed for this locus relative to the other class II loci. These findings further support the notion that allele-level associations in disease and transplantation may not be the most important unit of analysis, and that they should be considered instead in the molecular context. [ABSTRACT FROM AUTHOR]

A key role in cell-mediated immunity is dedicated to the major histocompatibility complex (MHC) molecules that bind peptides for presentation on the cell surface. Several in silico methods capable of predicting peptide binding to MHC class I have been developed. The accuracy of these methods depends on the data available characterizing the binding specificity of the MHC molecules. It has, moreover, been demonstrated that consensus methods defined as combinations of two or more different methods led to improved prediction accuracy. This plethora of methods makes it very difficult for the non-expert user to choose the most suitable method for predicting binding to a given MHC molecule. In this study, we have therefore made an in-depth analysis of combinations of three state-of-the-art MHC-peptide binding prediction methods ( NetMHC, NetMHCpan and PickPocket). We demonstrate that a simple combination of NetMHC and NetMHCpan gives the highest performance when the allele in question is included in the training and is characterized by at least 50 data points with at least ten binders. Otherwise, NetMHCpan is the best predictor. When an allele has not been characterized, the performance depends on the distance to the training data. NetMHCpan has the highest performance when close neighbours are present in the training set, while the combination of NetMHCpan and PickPocket outperforms either of the two methods for alleles with more remote neighbours. The final method, NetMHCcons, is publicly available at , and allows the user in an automatic manner to obtain the most accurate predictions for any given MHC molecule. [ABSTRACT FROM AUTHOR]

In all vertebrate animals, CD8 cytotoxic T lymphocytes (CTLs) are controlled by major histocompatibility complex class I (MHC-I) molecules. These are highly polymorphic peptide receptors selecting and presenting endogenously derived epitopes to circulating CTLs. The polymorphism of the MHC effectively individualizes the immune response of each member of the species. We have recently developed efficient methods to generate recombinant human MHC-I (also known as human leukocyte antigen class I, HLA-I) molecules, accompanying peptide-binding assays and predictors, and HLA tetramers for specific CTL staining and manipulation. This has enabled a complete mapping of all HLA-I specificities ('the Human MHC Project'). Here, we demonstrate that these approaches can be applied to other species. We systematically transferred domains of the frequently expressed swine MHC-I molecule, SLA-1*0401, onto a HLA-I molecule (HLA-A*11:01), thereby generating recombinant human/swine chimeric MHC-I molecules as well as the intact SLA-1*0401 molecule. Biochemical peptide-binding assays and positional scanning combinatorial peptide libraries were used to analyze the peptide-binding motifs of these molecules. A pan-specific predictor of peptide-MHC-I binding, NetMHCpan, which was originally developed to cover the binding specificities of all known HLA-I molecules, was successfully used to predict the specificities of the SLA-1*0401 molecule as well as the porcine/human chimeric MHC-I molecules. These data indicate that it is possible to extend the biochemical and bioinformatics tools of the Human MHC Project to other vertebrate species. [ABSTRACT FROM AUTHOR]

Human killer cell immunoglobulin-like receptors (KIR) recognize A3/11, Bw4, C1, and C2 epitopes carried by mutually exclusive subsets of human leukocyte antigen (HLA)-A, -B, and -C allotypes. Chimpanzee and orangutan have counterparts to HLA-A, -B, and -C, and KIR that recognize the A3/11, Bw4, C1, and C2 epitopes, either individually or in combination. Because rhesus macaque has counterparts of HLA-A and -B, but not HLA-C, we expected that rhesus KIR would better recognize HLA-A and -B, than HLA-C. Comparison of the interactions of nine rhesus KIR3D with 95 HLA isoforms, showed the KIR have broad specificity for HLA-A, -B, and -C, but vary in avidity. Considering both the strength and breadth of reaction, HLA-C was the major target for rhesus KIR, followed by HLA-B, then HLA-A. Strong reactions with HLA-A were restricted to the minority of allotypes carrying the Bw4 epitope, whereas strong reactions with HLA-B partitioned between allotypes having and lacking Bw4. Contrasting to HLA-A and -B, every HLA-C allotype bound to the nine rhesus KIR. Sequence comparison of high- and low-binding HLA allotypes revealed the importance of polymorphism in the helix of the α domain and the peptide-binding pockets. At peptide position 9, nonpolar residues favor binding to rhesus KIR, whereas charged residues do not. Contrary to expectation, rhesus KIR bind more effectively to HLA-C, than to HLA-A and -B. This property is consistent with major histocompatibility complex (MHC)-C having evolved in hominids to be a generally superior ligand for KIR than MHC-A and MHC-B. [ABSTRACT FROM AUTHOR]

The presentation of identical peptides by different major histocompatibility complex class I (MHC-I) molecules, termed promiscuity, is a controversial feature of T cell-mediated immunity to pathogens. The astounding diversity of MHC-I molecules in human populations, presumably to enable binding of equally diverse peptides, implies promiscuity would be a rare phenomenon. However, if it occurs, it would have important implications for immunity. We screened 77 animals for responses to peptides known to bind MHC-I molecules that were not expressed by these animals. Some cases of supposed promiscuity were determined to be the result of either non-identical optimal peptides or were simply not mapped to the correct MHC-I molecule in previous studies. Cases of promiscuity, however, were associated with alterations of immunodominance hierarchies, either in terms of the repertoire of peptides presented by the different MHC-I molecules or in the magnitude of the responses directed against the epitopes themselves. Specifically, we found that the Mamu-B*017:01-restricted peptides Vif HW8 and cRW9 were also presented by Mamu-A2*05:26 and targeted by an animal expressing that allele. We also found that the normally subdominant Mamu-A1*001:01 presented peptide Gag QI9 was also presented by Mamu-B*056:01. Both A2*05:26 and B*056:01 are molecules typically or exclusively expressed by animals of Chinese origin. These data clearly demonstrate that MHC-I epitope promiscuity, though rare, might have important implications for immunodominance and for the transmission of escape mutations, depending on the relative frequencies of the given alleles in a population. [ABSTRACT FROM AUTHOR]

Previous studies have attempted to define human leukocyte antigen (HLA) class II supertypes, analogous to the case for class I, on the basis of shared peptide-binding motifs or structure. In the present study, we determined the binding capacity of a large panel of non-redundant peptides for a set of 27 common HLA DR, DQ, and DP molecules. The measured binding data were then used to define class II supertypes on the basis of shared binding repertoires. Seven different supertypes (main DR, DR4, DRB3, main DQ, DQ7, main DP, and DP2) were defined. The molecules associated with the respective supertypes fell largely along lines defined by MHC locus and reflect, in broad terms, commonalities in reported peptide-binding motifs. Repertoire overlaps between molecules within the same class II supertype were found to be similar in magnitude to what has been observed for HLA class I supertypes. Surprisingly, however, the degree to which repertoires between molecules in the different class II supertypes also overlapped was found to be five to tenfold higher than repertoire overlaps noted between molecules in different class I supertypes. These results highlight a high degree of repertoire overlap amongst all HLA class II molecules, perhaps reflecting binding in multiple registers, and more pronounced dependence on backbone interactions rather than peptide anchor residues. This fundamental difference between HLA class I and class II would not have been predicted on the basis of analysis of either binding motifs or the sequence/predicted structures of the HLA molecules. [ABSTRACT FROM AUTHOR]

T cell epitopes derived from polymorphic proteins or from proteins encoded by alternative reading frames (ARFs) play an important role in (tumor) immunology. Identification of these peptides is successfully performed with mass spectrometry. In a mass spectrometry-based approach, the recorded tandem mass spectra are matched against hypothetical spectra generated from known protein sequence databases. Commonly used protein databases contain a minimal level of redundancy, and thus, are not suitable data sources for searching polymorphic T cell epitopes, either in normal or ARFs. At the same time, however, these databases contain much non-polymorphic sequence information, thereby complicating the matching of recorded and theoretical spectra, and increasing the potential for finding false positives. Therefore, we created a database with peptides from ARFs and peptide variation arising from single nucleotide polymorphisms (SNPs). It is based on the human mRNA sequences from the well-annotated reference sequence (RefSeq) database and associated variation information derived from the Single Nucleotide Polymorphism Database (dbSNP). In this process, we removed all non-polymorphic information. Investigation of the frequency of SNPs in the dbSNP revealed that many SNPs are non-polymorphic 'SNPs'. Therefore, we removed those from our dedicated database, and this resulted in a comprehensive high quality database, which we coined the Human Short Peptide Variation Database (HSPVdb). The value of our HSPVdb is shown by identification of the majority of published polymorphic SNP- and/or ARF-derived epitopes from a mass spectrometry-based proteomics workflow, and by a large variety of polymorphic peptides identified as potential T cell epitopes in the HLA-ligandome presented by the Epstein-Barr virus cells. [ABSTRACT FROM AUTHOR]

Traditionally, T cell epitope discovery requires considerable amounts of tedious, slow, and costly experimental work. During the last decade, prediction tools have emerged as essential tools allowing researchers to select a manageable list of epitope candidates to test from a larger peptide, protein, or even proteome. However, no current tools address the complexity caused by the highly polymorphic nature of the restricting HLA molecules, which effectively individualizes T cell responses. To fill this gap, we here present an easy-to-use prediction tool named HLArestrictor (), which is based on the highly versatile and accurate NetMHCpan predictor, which here has been optimized for the identification of both the MHC restriction element and the corresponding minimal epitope of a T cell response in a given individual. As input, it requires high-resolution (i.e., 4-digit) HLA typing of the individual. HLArestrictor then predicts all 8-11mer peptide binders within one or more larger peptides and provides an overview of the predicted HLA restrictions and minimal epitopes. The method was tested on a large dataset of HIV IFNγ ELIspot peptide responses and was shown to identify HLA restrictions and minimal epitopes for about 90% of the positive peptide/patient pairs while rejecting more than 95% of the negative peptide-HLA pairs. Furthermore, for 18 peptide/HLA tetramer validated responses, HLArestrictor in all cases predicted both the HLA restriction element and minimal epitope. Thus, HLArestrictor should be a valuable tool in any T cell epitope discovery process aimed at identifying new epitopes from infectious diseases and other disease models. [ABSTRACT FROM AUTHOR]

Reliable predictions of immunogenic peptides are essential in rational vaccine design and can minimize the experimental effort needed to identify epitopes. In this work, we describe a pan-specific major histocompatibility complex (MHC) class I epitope predictor, NetCTLpan. The method integrates predictions of proteasomal cleavage, transporter associated with antigen processing (TAP) transport efficiency, and MHC class I binding affinity into a MHC class I pathway likelihood score and is an improved and extended version of NetCTL. The NetCTLpan method performs predictions for all MHC class I molecules with known protein sequence and allows predictions for 8-, 9-, 10-, and 11-mer peptides. In order to meet the need for a low false positive rate, the method is optimized to achieve high specificity. The method was trained and validated on large datasets of experimentally identified MHC class I ligands and cytotoxic T lymphocyte (CTL) epitopes. It has been reported that MHC molecules are differentially dependent on TAP transport and proteasomal cleavage. Here, we did not find any consistent signs of such MHC dependencies, and the NetCTLpan method is implemented with fixed weights for proteasomal cleavage and TAP transport for all MHC molecules. The predictive performance of the NetCTLpan method was shown to outperform other state-of-the-art CTL epitope prediction methods. Our results further confirm the importance of using full-type human leukocyte antigen restriction information when identifying MHC class I epitopes. Using the NetCTLpan method, the experimental effort to identify 90% of new epitopes can be reduced by 15% and 40%, respectively, when compared to the NetMHCpan and NetCTL methods. The method and benchmark datasets are available at . [ABSTRACT FROM AUTHOR]

In the last decade, significant progress has been made in expanding the scope and depth of publicly available immunological databases and online analysis resources, which have become an integral part of the repertoire of tools available to the scientific community for basic and applied research. Herein, we present a general overview of different resources and databases currently available. Because of our association with the Immune Epitope Database and Analysis Resource, this resource is reviewed in more detail. Our review includes aspects such as the development of formal ontologies and the type and breadth of analytical tools available to predict epitopes and analyze immune epitope data. A common feature of immunological databases is the requirement to host large amounts of data extracted from disparate sources. Accordingly, we discuss and review processes to curate the immunological literature, as well as examples of how the curated data can be used to generate a meta-analysis of the epitope knowledge currently available for diseases of worldwide concern, such as influenza and malaria. Finally, we review the impact of immunological databases, by analyzing their usage and citations, and by categorizing the type of citations. Taken together, the results highlight the growing impact and utility of immunological databases for the scientific community. [ABSTRACT FROM AUTHOR]

T cell receptor (TCR) nucleotide sequences are often generated during analyses of T cell responses to pathogens or autoantigens. The most important region of the TCR is the third complementarity-determining region (CDR3) whose nucleotide sequence is unique to each T cell clone. The CDR3 interacts with the peptide and thus is important for recognizing pathogen or autoantigen epitopes. While conventions exist for identifying the various TCR chains, there is a lack of a concise nomenclature that would identify both the amino acid translation and nucleotide sequence of the CDR3. This deficiency makes the comparison of published TCR genetic and proteomic information difficult. To enhance information sharing among different databases and to facilitate computational assessment of clonotypic T cell repertoires, we propose a clonotype nomenclature. The rules for generating a clonotype identifier are simple and easy to follow, and have a built-in error-checking system. The identifier includes the V and J region, the CDR3 length as well as its human or mouse origin. The framework of this naming system could also be expanded to the B cell receptor. [ABSTRACT FROM AUTHOR]

MICA antigens are polymorphic glycoproteins expressed on the surface of human endothelial cells and other cells. Antibodies against MICA have been found in transplant recipients and were found to be associated with decreased survival of kidney allografts. In the present work, we investigated the polymorphisms that are recognized by antibodies against MICA. Soluble MICA recombinant proteins representing 11 common alleles, two hybrid alleles, and two single amino acid mutated alleles were produced. Patterns of reactivity were determined with MICA bound to Luminex beads. In some studies, sera containing antibodies against MICA were absorbed by cell lines transfected with MICA*001, MICA*002, MICA*008, and MICA*009 or with untransfected cells, followed by testing of antibody reactivity against MICA proteins bound to beads. The monoclonal antibodies and sera used in this study were found to recognize up to 14 distinct MICA epitopes as demonstrated by their differential absorption/reactivity patterns. Among these, nine epitopes correlated with a single unique amino acid: one shared two signature amino acids, one shared three signature amino acids in close proximity, and three epitopes involved multiple amino acids in a nonlinear sequence. Two groups of public epitopes (MICA-G1 and MICA-G2) were characterized. MICA shared epitopes were determined by reactivity loss in single MICA antigen bead assays by absorption with MICA transfectants. Since these epitopes may be targets for antibody binding and possibly antibody-mediated allograft rejection, epitope identification may help understand the development of MICA antibodies and to identify suitable donors for sensitized transplant recipients. [ABSTRACT FROM AUTHOR]

Developing a peptide-based vaccine for the highly variable hepatitis C virus (HCV) remains a challenging task. Variant viruses not only escape antigen presentation but also persist in a patient as quasi-species. Such variants are often antagonistic to the responding T cell repertoire. To overcome these problems, we herein propose a cocktail vaccine consisting of a few epitope peptides, which make it possible to outpace the emergence of variant viruses. To design such a vaccine, we developed a way to identify HLA-A*2402-binding peptides efficiently by means of the computational scanning of the whole genome of the pathogen. Most of the predicted peptides exhibited strong binding to the HLA-A*2402 molecule, while also inducing CD8 T cell responses from the patients’ peripheral blood mononuclear cells (PBMCs). Peptide-induced T cells were capable of lysing HCV-expressing HepG2 cells which process antigens endogenously. The amount of HCV core antigen in the patients’ livers suggested that the lytic activity of the peptide-induced T cells was clearly in a range suitable for therapeutic use. If T cells were activated under optimal conditions by high density peptides, then they tended to be relatively tolerant of single amino acid variations for cytolysis. Finally, an analysis of the viral population isolated in Japan suggested no obvious changes due to immune evasion in the viral genome even in a host population highly biased toward HLA-A*2402. [ABSTRACT FROM AUTHOR]

The chimpanzee ( Pan troglodytes) is an important model for studying the immune response to several human pathogens, but the study of correlates of immunity has been hindered by the fact that little is known about the epitope-binding specificity of chimpanzee (Patr) class I MHC. In the present study we have characterized the peptide binding specificity of several common Patr class I molecules. Using single amino acid substitution analogs and large peptide libraries, quantitative peptide binding motifs have been derived for Patr A*0101, A*0701, A*0901, B*0101, and B*2401. Each molecule was found to bind peptides using position 2 and the C terminus as main anchor contacts. On the other hand, each Patr molecule is associated with a unique binding specificity, and the range of specificities is similar to that seen amongst HLA alleles. A high degree of cross-reactivity was noted between Patr A*0701 and Patr A*0901, suggesting the existence of a Patr-specific supertype. Consistent with previous studies suggesting that some cross-reactivity may exist between HLA and Patr alleles, Patr A*0901 was found to have an appreciable degree of cross-reactivity with molecules of the HLA A24-supertype. Finally, utilizing motif scans and peptide binding and intracellular cytokine staining assays, 77 hepatitis B virus (HBV)-derived epitopes were identified in five chimpanzees that were recently convalescent from acute HBV infection. Because the Patr alleles studied herein were found to be very common in two different chimpanzee populations, the present data should facilitate the use of chimpanzees for immunological studies. [ABSTRACT FROM AUTHOR]

Prediction of which peptides can bind major histocompatibility complex (MHC) molecules is commonly used to assist in the identification of T cell epitopes. However, because of the large numbers of different MHC molecules of interest, each associated with different predictive tools, tool generation and evaluation can be a very resource intensive task. A methodology commonly used to predict MHC binding affinity is the matrix or linear coefficients method. Herein, we described Average Relative Binding (ARB) matrix methods that directly predict IC50 values allowing combination of searches involving different peptide sizes and alleles into a single global prediction. A computer program was developed to automate the generation and evaluation of ARB predictive tools. Using an in-house MHC binding database, we generated a total of 85 and 13 MHC class I and class II matrices, respectively. Results from the automated evaluation of tool efficiency are presented. We anticipate that this automation framework will be generally applicable to the generation and evaluation of large numbers of MHC predictive methods and tools, and will be of value to centralize and rationalize the process of evaluation of MHC predictions. MHC binding predictions based on ARB matrices were made available at web server. [ABSTRACT FROM AUTHOR]

Cytotoxic T cells (CTLs) perceive the world through small peptides that are eight to ten amino acids long. These peptides (epitopes) are initially generated by the proteasome, a multi-subunit protease that is responsible for the majority of intra-cellular protein degradation. The proteasome generates the exact C-terminal of CTL epitopes, and the N-terminal with a possible extension. CTL responses may diminish if the epitopes are destroyed by the proteasomes. Therefore, the prediction of the proteasome cleavage sites is important to identify potential immunogenic regions in the proteomes of pathogenic microorganisms (or humans). We have recently shown that NetChop, a neural network-based prediction method, is the best method available at the moment to do such predictions; however, its performance is still lower than desired. Here, we use novel sequence encoding methods and show that the new version of NetChop predicts approximately 10% more of the cleavage sites correctly while lowering the number of false positives with close to 15%. With this more reliable prediction tool, we study two important questions concerning the function of the proteasome. First, we estimate the N-terminal extension of epitopes after proteasomal cleavage and find that the average extension is relatively short. However, more than 30% of the peptides have N-terminal extensions of three amino acids or more, and thus, N-terminal trimming might play an important role in the presentation of a substantial fraction of the epitopes. Second, we show that good TAP ligands have an increased chance of being cleaved by the proteasome, i.e., the specificity of TAP has evolved to fit the specificity of the proteasome. This evolutionary relationship allows for a more efficient antigen presentation. [ABSTRACT FROM AUTHOR]

We introduced previously an on-line resource, RANKPEP that uses position specific scoring matrices (PSSMs) or profiles for the prediction of peptide-MHC class I (MHCI) binding as a basis for CD8 T-cell epitope identification. Here, using PSSMs that are structurally consistent with the binding mode of MHC class II (MHCII) ligands, we have extended RANKPEP to prediction of peptide-MHCII binding and anticipation of CD4 T-cell epitopes. Currently, 88 and 50 different MHCI and MHCII molecules, respectively, can be targeted for peptide binding predictions in RANKPEP. Because appropriate processing of antigenic peptides must occur prior to major histocompatibility complex (MHC) binding, cleavage site prediction methods are important adjuncts for T-cell epitope discovery. Given that the C-terminus of most MHCI-restricted epitopes results from proteasomal cleavage, we have modeled the cleavage site from known MHCI-restricted epitopes using statistical language models. The RANKPEP server now determines whether the C-terminus of any predicted MHCI ligand may result from such proteasomal cleavage. Also implemented is a variability masking function. This feature focuses prediction on conserved rather than highly variable protein segments encoded by infectious genomes, thereby offering identification of invariant T-cell epitopes to thwart mutation as an immune evasion mechanism. [ABSTRACT FROM AUTHOR]

The first version of PAProC (Prediction Algorithm for Proteasomal Cleavages) is now available to the general public. PAProC is a prediction tool for cleavages by human and yeast proteasomes, based on experimental cleavage data. It will be particularly useful for immunologists working on antigen processing and the prediction of major histocompatibility complex class I molecule (MHC I) ligands and cytotoxic T-lymphocyte (CTL) epitopes. Likewise, in cases in which proteasomal protein degradation has been indicated in disease, PAProC can be used to assess the general cleavability of disease-linked proteins. On its web site (http://www.paproc.de), background information and hyperlinks are provided for the user (e.g., to SYFPEITHI, the database for the prediction of MHC I ligands). [ABSTRACT FROM AUTHOR]