Peptide-major Histocompatibility Complex Research Articles

A Computational Strategy for the Rapid Identification and Ranking of Patient-Specific T Cell Receptors Bound to Neoantigens.

T cell receptor (TCR) recognition of a peptide-major histocompatibility complex (pMHC) is crucial for adaptive immune response. The identification of therapeutically relevant TCR-pMHC protein pairs is a bottleneck in the implementation of TCR-based immunotherapies. The ability to computationally design TCRs to target a specific pMHC requires automated integration of next-generation sequencing, protein-protein structure prediction, molecular dynamics, and TCR ranking. A pipeline to evaluate patient-specific, sequence-based TCRs to a target pMHC is presented. Using the three most frequently expressed TCRs from 16 colorectal cancer patients, the protein-protein structure of the TCRs to the target CEA peptide-MHC is predicted using Modeller and ColabFold. TCR-pMHC structures are compared using automated equilibration and successive analysis. ColabFold generated configurations require an ≈2.5× reduction in equilibration time of TCR-pMHC structures compared to Modeller. The structural differences between Modeller and ColabFold are demonstrated by root mean square deviation (≈0.20nm) between clusters of equilibrated configurations, which impact the number of hydrogen bonds and Lennard-Jones contacts between the TCR and pMHC. TCR ranking criteria that may prioritize TCRs for evaluation of in vitro immunogenicity are identified, and this ranking is validated by comparing to state-of-the-art machine learning-based methods trained to predict the probability of TCR-pMHC binding.

Microbiota dictate T cell clonal selection to augment graft-versus-host disease after stem cell transplantation

Allogeneic Tcell expansion is the primary determinant of graft-versus-host disease (GVHD), and current dogma dictates that this is driven by histocompatibility antigen disparities between donor and recipient. This paradigm represents a closed genetic system within which donor Tcells interact with peptide-major histocompatibility complexes (MHCs), though clonal interrogation remains challenging due to the sparseness of the Tcell repertoire. We developed a Bayesian model using donor and recipient Tcell receptor (TCR) frequencies in murine stem cell transplant systems to define limited common expansion of Tcell clones across genetically identical donor-recipient pairs. A subset of donor CD4+ Tcell clonotypes differentially expanded in identical recipients and were microbiota dependent. Microbiota-specific Tcells augmented GVHD lethality and could target microbial antigens presented by gastrointestinal epithelium during an alloreactive response. The microbiota serves as a source of cognate antigens that contribute to clonotypic Tcell expansion and the induction of GVHD independent of donor-recipient genetics.

Discovery of a monoclonal, high‐affinity CD8+ T‐cell clone following natural hepatitis C virus infection

AbstractCD8+ T cells recognizing their cognate antigen are typically recruited as a polyclonal population consisting of multiple clonotypes with varying T‐cell receptor (TCR) affinity to the target peptide–major histocompatibility complex (pMHC) complex. Advances in single‐cell sequencing have increased accessibility toward identifying TCRs with matched antigens. Here we present the discovery of a monoclonal CD8+ T‐cell population with specificity for a hepatitis C virus (HCV)–derived human leukocyte antigen (HLA) class I epitope (HLA‐B*07:02 GPRLGVRAT) which was isolated directly ex vivo from an individual with an episode of acutely resolved HCV infection. This population was absent before infection and underwent expansion and stable maintenance for at least 2 years after infection as measured by HLA‐multimer staining. Furthermore, the monoclonal clonotype was characterized by an unusually long dissociation time (half‐life = 794 s and koff = 5.73 × 10−4) for its target antigen when compared with previously published results. A comparison with related populations of HCV‐specific populations derived from the same individual and a second individual suggested that high‐affinity TCR–pMHC interactions may be inherent to epitope identity and shape the phenotype of responses which has implications for rational TCR selection and design in the age of personalized immunotherapies.

Development of a Stable Peptide-Major Histocompatibility Complex (MHC) via Sortase and Click Chemistry.

T cells play a crucial role in antitumor immune responses and the clearance of infected cells. They identify their targets through the binding of T-cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules present in cancer cells, infected cells, and antigen-presenting cells. This interaction is often weak, requiring multimeric pMHC molecules to enhance the avidity for identifying antigen-specific T cells. Current exchangeable pMHC-I tetramerization methods may overlook TCRs recognizing less stable yet immunogenic peptides. In vivo applications targeting antigen-specific T cells demand the genetic synthesis of a pMHC fusion for each unique peptide antigen, which poses a significant challenge. To address these challenges, we developed a sortase and click chemistry-mediated approach for generating stable pMHC molecules. Leveraging sortase technology, we introduced an azide click-handle near the N-terminus of β2m, proximal to the MHC-peptide-binding groove. Simultaneously, the peptide was engineered with a multi glycine linker and a C-terminal alkyne click-handle. Azide-alkyne click reactions efficiently immobilized the peptide onto the MHC molecule, providing a versatile and efficient method for pMHC generation. The resulting peptide-clicked-MHC specifically binds to its cognate TCR and remains stable for over 3 months at 4 °C in the absence of any additional free peptide. The stability of the pMHC and its affinity to cognate TCRs are influenced by the linker's nature and length. Multi glycine linkers outperform poly(ethylene glycol) (PEG) linkers in this regard. This technology expands the toolkit for identifying and targeting antigen-specific T cells, enhancing our understanding of cancer-specific immune responses, and has the potential to streamline the development of personalized immunotherapies.

Abstract PO4-16-05: Identification of functional HLA-A*11:01-restricted driver gene PIK3CA mutation specific T-cell receptors

Abstract The adoptive transfer of genetically engineered T-cell receptors (TCR-T) has emerged as a promising therapeutic strategy for the treatment of solid tumors. Recent clinical trials have demonstrated the safety and efficacy of TCR-T cell therapies against certain types of metastatic solid cancers. In our study, we aimed to investigate the potential of TCR-T cell therapies targeting neoantigens, which are exclusively expressed in cancer cells, with a focus on metastatic breast cancer (MBC). Specifically, we identified four driver missense mutations (PIK3CA E542K, E545K, H1047L, and H1047R) frequently observed in MBC patients and utilized computational tools to predict the generation of neoantigens. Utilizing NetMHCpan V.4.1, we performed screening of peptides spanning the mutation region and predicted a neoantigen epitope, PIK3CA_H1047L, to bind with HLA-A*11:01. To validate the presentation and stability of the neoantigen epitope, we employed TAP1-deficient K562 cells and observed stable expression of the mutant peptide-major histocompatibility complex (MHC) complex on the cell membrane. Subsequently, we isolated T cells from healthy donors possessing the HLA-A11:01 genotype, and subjected them to successive stimulations with neopeptide-pulsed dendritic cells. T cells stimulated with neopeptide were examined for neoantigen specificity using an IFN-γ ELISpot assay. Employing pMHC tetramer staining and single-cell sorting via flow cytometry, we successfully isolated five HLA-A11:01-restricted PIK3CA_H1047L-specific TCRs. Through lentivirus transduction of these TCRs into T cells, we achieved the generation of TCR-T cells that exhibited potent and specific activity exclusively against the PIK3CA_H1047L neoantigen. The functionality of the TCR-T cells was confirmed through assessments of CD137 expression, IFN-γ secretion, and cytotoxicity assays. In conclusion, our study demonstrates T cell responses towards neoantigens derived from PIK3CA, a commonly observed driver mutation in MBC. Furthermore, we successfully isolated five distinct neoantigen-specific TCRs that specifically recognized the PIK3CA_H1047L mutation and were restricted to the prevalent HLA-A*11:01 allele. The transfer of these TCRs into T cells resulted in the generation of TCR-T products exhibiting remarkable activity against the PIK3CA_H1047L neoantigen. These findings strongly encourage further investigation into TCRs targeting driver mutations in MBC, with the aim of advancing neoantigen-targeted TCR-T therapies into clinical trials. Additionally, the PIK3CA_H1047L neoantigen holds great promise as a potential candidate for the development of effective cancer vaccines. Citation Format: Meiying Shen, Xiaojian Han, Siyin Chen, Aishun Jin, Shengchun Liu. Identification of functional HLA-A*11:01-restricted driver gene PIK3CA mutation specific T-cell receptors [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-16-05.

Gene network-based and ensemble modeling-based selection of tumor-associated antigens with a predicted low risk of tissue damage for targeted immunotherapy

BackgroundTumor-associated antigens and their derived peptides constitute an opportunity to design off-the-shelf mainline or adjuvant anti-cancer immunotherapies for a broad array of patients. A performant and rational antigen selection pipeline...

Intercellular transfer of MHC molecules in T cell alloimmunity and allotransplantation

After transplantation of allogeneic tissues and organs, recognition by recipient T cells of donor MHC molecules initiates the pro-inflammatory adaptive immune response leading to allograft rejection. T cell allorecognition has long been known to be mediated via two distinct pathways: the direct pathway in which T cells recognize intact allogeneic MHC molecules displayed on donor cells and the indirect pathway whereby T cells recognize donor MHC peptides processed and presented by recipient antigen-presenting cells (APCs). It is believed that direct allorecognition is the driving force behind early acute allograft rejection while indirect allorecognition is involved in chronic allograft rejection, a progressive condition characterized by graft vasculopathy and tissue fibrosis. Recently, we and others have reported that after transplantation of allogeneic skin and organs, donor MHC molecules are transferred from donor cells to the host's APCs via trogocytosis or extracellular vesicles. Recipient APCs having captured donor MHC molecules can either present them to T cells in the intact form on their surface (semi-direct pathway) or the form of peptides bound to self-MHC molecules (indirect pathway). The present article provides an overview of recent studies evaluating the role of intercellular exchange of MHC molecules in T cell alloimmunity and its contribution to allograft rejection and tolerance.

IFI30 as a key regulator of PDL1 immunotherapy prognosis in breast cancer

BackgroundIFI30 is a lysosomal thiol reductase involved in antigen presentation and immune regulation in various cancers, including breast cancer. Despite its known involvement, the precise mechanism, function, and relationship with the PD-L1 axis and immune response remain unclear. MethodsWe conducted an extensive investigation into IFI30 mRNA expression in breast cancer utilizing data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. Furthermore, we characterized IFI30 mRNA expression across various cell types using publicly available single-cell RNA sequencing datasets, and assessed protein expression through immunohistochemistry using an in-house breast cancer tissue microarray. Functional experiments were performed to elucidate the effects of IFI30 overexpression on PD-L1 expression and inhibitory efficacy in both macrophages and breast tumor cells. ResultsOur study unveiled a marked upregulation of IFI30 expression in breast cancer tissues compared to their normal counterparts, with notable associations identified with tumor stage and prognosis. Additionally, IFI30 expression demonstrated significant correlations with various immune-related signaling pathways, encompassing peptide antigen binding, cytokine binding, and MHC class II presentation. Notably, breast cancer samples exhibiting high IFI30 expression in tumor cells displayed high PD-L1 expression on corresponding cells, alongside a diminished ratio of CD8 + T cell infiltration within the tumor microenvironment. Furthermore, ectopic knockdown of IFI30 in both tumor cells and macrophages resulted in a reduction of PD-L1 expression, while conversely, overexpression of IFI30 led to an increase in PD-L1 expression. ConclusionsThis study offers new insights into the involvement of IFI30 in breast cancer, elucidating its interplay with the PD-L1 axis and immune response dynamics. Our findings suggest that modulation of the IFI30-PD-L1 axis could serve as a promising strategy for regulating T cells infiltration in breast cancer thus treating breast cancer.

Simultaneous analysis of pMHC binding and reactivity unveils virus-specific CD8 T cell immunity to a concise epitope set.

CD8 T cells provide immunity to virus infection through recognition of epitopes presented by peptide major histocompatibility complexes (pMHCs). To establish a concise panel of widely recognized T cell epitopes from common viruses, we combined analysis of TCR down-regulation upon stimulation with epitope-specific enumeration based on barcode-labeled pMHC multimers. We assess CD8 T cell binding and reactivity for 929 previously reported epitopes in the context of 1 of 25 HLA alleles representing 29 viruses. The prevalence and magnitude of CD8 T cell responses were evaluated in 48 donors and reported along with 137 frequently recognized virus epitopes, many of which were underrepresented in the public domain. Eighty-four percent of epitope-specific CD8 T cell populations demonstrated reactivity to peptide stimulation, which was associated with effector and long-term memory phenotypes. Conversely, nonreactive T cell populations were associated primarily with naive phenotypes. Our analysis provides a reference map of epitopes for characterizing CD8 T cell responses toward common human virus infections.

Abstract LB442: Novel antibodies against a KK-LC-1-derived peptide presented on HLA-A*01 on tumor cells

Abstract The prognostic benefit of immune checkpoint inhibitors (CPIs) is mainly restricted to specific cancers, such as melanoma and lung adenocarcinoma. For patients with cancers which are noninflamed (“cold”), or CPI-resistant, therapeutic options are currently limited. Recently, the US FDA approved the first bispecific molecule targeting a tumor peptide MHC. This highlights the potential of targeting MHC-presented tumor antigens to empower T cells to specifically recognize and eliminate solid tumors. While there is a growing number of agents targeting pMHCs, most of them are restricted to HLA-A*02. There is an urgent need to identify effective pMHC targeted therapies for solid tumors, especially on other alleles to increase the proportion of eligible patients. Kita-Kyushu lung cancer antigen-1 (KK-LC-1/CT83) peptide presented on HLA-A*01 is a promising tumor target as its expression is restricted to tumors and it is broadly expressed in many cancers including gastric, lung, breast, and cervical cancer. However, targeting the KK-LC-1/HLA-A*01 complex is challenging due to the high levels of similar off-target peptides presented in healthy tissues. Through in silico analysis we identified peptides within the human genome that share a high sequence identity to the target. These peptides were found in a database containing >1 million mass spectrometry (MS)-identified peptides presented by healthy tissues, cancer cell lines, and tumor tissue samples. A peptide derived from 6-pyruvoyltetrahydropterin synthase (PTS) was found to be abundantly presented in healthy tissues. MS confirmed that this peptide occurs at extremely high natural levels (620 - 3500 copies per cell) on HLA-A*01 cell lines and healthy tissue. Here, we describe a set of pMHC T-cell engager (TCE) antibodies with high specificity towards HLA-A*01 restricted KK-LC-1 epitope. ScFv phage display libraries were rigorously screened for binding to the pMHC target and counter-screened against predicted off-target peptides including PTS. Specific scFv hits were reformatted into TCEs using an anti-CD3 Fab effector arm. The TCEs showed efficient killing of KK-LC-1/HLA-A*01-positive human cell lines NCI-H1703 and EKVX in co-cultures with human PBMCs, while KK-LC-1-negative/HLA-A*01-positive cell lines SK-MEL-30 and PC-3 (known to present the risk peptides on the surface) were minimally affected. TCE-dependent T cell activation measured by IFNγ was significantly higher in presence of TAP-deficient, (empty) HLA-A*01-expressing T2 cells pulsed with the target peptide compared to the risk peptides. Alanine scans of isolated binders confirmed that at least 6 amino acids of the KK-LC-1 peptide are required for binding. Overall, the data show that these antibodies have promising anti-tumor activity and specificity for KK-LC-1/HLA-A*01 positive tumors. Future activities will focus on lead optimization for therapeutic development. Citation Format: Fabian Scheifele, Stephanie Jungmichel, Nagjie Alijaj, Athanasia Dasargyri, Romina Doerig, Philip Knobel, Hannes Merten, Philipp Richle, Thomas Schleier, Anna Sobieraj, Alessio Vantellini, Tim Fugmann, Rom Leidner, Swethajit Biswas, Leonardo Borras. Novel antibodies against a KK-LC-1-derived peptide presented on HLA-A*01 on tumor cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB442.

Defining T cell receptor repertoires using nanovial-based binding and functional screening

The ability to selectively bind to antigenic peptides and secrete effector molecules can define rare and low-affinity populations of cells with therapeutic potential in emerging T cell receptor (TCR) immunotherapies. We leverage cavity-containing hydrogel microparticles, called nanovials, each coated with peptide-major histocompatibility complex (pMHC) monomers to isolate antigen-reactive T cells. T cells are captured and activated by pMHCs inducing the secretion of effector molecules including IFN-γ and granzyme B that are accumulated on nanovials, allowing sorting based on both binding and function. The TCRs of sorted cells on nanovials are sequenced, recovering paired αβ-chains using microfluidic emulsion-based single-cell sequencing. By labeling nanovials having different pMHCs with unique oligonucleotide-barcodes and secretions with oligo-barcoded detection antibodies, we could accurately link TCR sequences to specific targets and rank each TCR based on the corresponding cell's secretion level. Using the technique, we identified an expanded repertoire of functional TCRs targeting viral antigens with high specificity and found rare TCRs with activity against cancer-specific splicing-enhanced epitopes.

GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure.

Neoantigens are tumor-derived peptides and are biomarkers that can predict prognosis related to immune checkpoint inhibition by estimating their binding to major histocompatibility complex (MHC) proteins. Although deep neural networks have been primarily used for these prediction models, it is difficult to interpret the models reported thus far as accurately representing the interactions between biomolecules. In this study, we propose the GraphMHC model, which utilizes a graph neural network model applied to molecular structure to simulate the binding between MHC proteins and peptide sequences. Amino acid sequences sourced from the immune epitope database (IEDB) undergo conversion into molecular structures. Subsequently, atomic intrinsic informations and inter-atomic connections are extracted and structured as a graph representation. Stacked graph attention and convolution layers comprise the GraphMHC network which classifies bindings. The prediction results from the test set using the GraphMHC model showed a high performance with an area under the receiver operating characteristic curve of 92.2% (91.9-92.5%), surpassing a baseline model. Moreover, by applying the GraphMHC model to melanoma patient data from The Cancer Genome Atlas project, we found a borderline difference (0.061) in overall survival and a significant difference in stromal score between the high and low neoantigen load groups. This distinction was not present in the baseline model. This study presents the first feature-intrinsic method based on biochemical molecular structure for modeling the binding between MHC protein sequences and neoantigen candidate peptide sequences. This model can provide highly accurate responsibility information that can predict the prognosis of immune checkpoint inhibitors to cancer patients who want to apply it.

Role of co‑inhibitory molecules in the treatment of psoriasis (Review).

Psoriasis is a common chronic inflammatory skin disease characterized by abnormal activation and infiltration of T-cells and excessive proliferation of keratinocytes (KCs). Its pathogenesis is complex and frequently accompanied by the imbalance of T-cell subpopulations, contributing to its development and further exacerbation. Therefore, the immune system, especially T-cells, is mainly involved in the pathogenesis of psoriasis. While T-cell activation not only requires the first recognition of T-cell receptor and major histocompatibility complex peptide, co-stimulatory and co-inhibitory pathways are reported to promote or dampen T-cell responses through a variety of mechanisms. In recent years, immuno-related agents have been applied in the treatment of numerous clinical diseases, including psoriasis, and are starting to show promising and potential therapy prospects in autoimmune skin diseases. The present review outlined the role of co-inhibitory molecules in the pathogenesis of psoriasis and their application in the treatment of psoriasis.

APE-Gen2.0: Expanding Rapid Class I Peptide-Major Histocompatibility Complex Modeling to Post-Translational Modifications and Noncanonical Peptide Geometries.

The recognition of peptides bound to class I major histocompatibility complex (MHC-I) receptors by T-cell receptors (TCRs) is a determinant of triggering the adaptive immune response. While the exact molecular features that drive the TCR recognition are still unknown, studies have suggested that the geometry of the joint peptide-MHC (pMHC) structure plays an important role. As such, there is a definite need for methods and tools that accurately predict the structure of the peptide bound to the MHC-I receptor. In the past few years, many pMHC structural modeling tools have emerged that provide high-quality modeled structures in the general case. However, there are numerous instances of non-canonical cases in the immunopeptidome that the majority of pMHC modeling tools do not attend to, most notably, peptides that exhibit non-standard amino acids and post-translational modifications (PTMs) or peptides that assume non-canonical geometries in the MHC binding cleft. Such chemical and structural properties have been shown to be present in neoantigens; therefore, accurate structural modeling of these instances can be vital for cancer immunotherapy. To this end, we have developed APE-Gen2.0, a tool that improves upon its predecessor and other pMHC modeling tools, both in terms of modeling accuracy and the available modeling range of non-canonical peptide cases. Some of the improvements include (i) the ability to model peptides that have different types of PTMs such as phosphorylation, nitration, and citrullination; (ii) a new and improved anchor identification routine in order to identify and model peptides that exhibit a non-canonical anchor conformation; and (iii) a web server that provides a platform for easy and accessible pMHC modeling. We further show that structures predicted by APE-Gen2.0 can be used to assess the effects that PTMs have in binding affinity in a more accurate manner than just using solely the sequence of the peptide. APE-Gen2.0 is freely available at https://apegen.kavrakilab.org.

Tsyn-Seq: a T-cell Synapse-Based Antigen Identification Platform.

Tools for genome-wide rapid identification of peptide-major histocompatibility complex targets of T-cell receptors (TCR) are not yet universally available. We present a new antigen screening method, the T-synapse (Tsyn) reporter system, which includes antigen-presenting cells (APC) with a Fas-inducible NF-κB reporter and T cells with a nuclear factor of activated T cells (NFAT) reporter. To functionally screen for target antigens from a cDNA library, productively interacting T cell-APC aggregates were detected by dual-reporter activity and enriched by flow sorting followed by antigen identification quantified by deep sequencing (Tsyn-seq). When applied to a previously characterized TCR specific for the E7 antigen derived from human papillomavirus type 16 (HPV16), Tsyn-seq successfully enriched the correct cognate antigen from a cDNA library derived from an HPV16-positive cervical cancer cell line. Tsyn-seq provides a method for rapidly identifying antigens recognized by TCRs of interest from a tumor cDNA library. See related Spotlight by Makani and Joglekar, p. 515.

Chronic infection control relies on T cells with lower foreign antigen binding strength generated by N-nucleotide diversity.

The breadth of pathogens to which T cells can respond is determined by the T cell receptors (TCRs) present in an individual's repertoire. Although more than 90% of the sequence diversity among TCRs is generated by terminal deoxynucleotidyl transferase (TdT)-mediated N-nucleotide addition during V(D)J recombination, the benefit of TdT-altered TCRs remains unclear. Here, we computationally and experimentally investigated whether TCRs with higher N-nucleotide diversity via TdT make distinct contributions to acute or chronic pathogen control specifically through the inclusion of TCRs with lower antigen binding strengths (i.e., lower reactivity to peptide-major histocompatibility complex (pMHC)). When T cells with high pMHC reactivity have a greater propensity to become functionally exhausted than those of low pMHC reactivity, our computational model predicts a shift toward T cells with low pMHC reactivity over time during chronic, but not acute, infections. This TCR-affinity shift is critical, as the elimination of T cells with lower pMHC reactivity in silico substantially increased the time to clear a chronic infection, while acute infection control remained largely unchanged. Corroborating an affinity-centric benefit for TCR diversification via TdT, we found evidence that TdT-deficient TCR repertoires possess fewer T cells with weaker pMHC binding strengths in vivo and showed that TdT-deficient mice infected with a chronic, but not an acute, viral pathogen led to protracted viral clearance. In contrast, in the case of a chronic fungal pathogen where T cells fail to clear the infection, both our computational model and experimental data showed that TdT-diversified TCR repertoires conferred no additional protection to the hosts. Taken together, our in silico and in vivo data suggest that TdT-mediated TCR diversity is of particular benefit for the eventual resolution of prolonged pathogen replication through the inclusion of TCRs with lower foreign antigen binding strengths.

Evaluation of Controlled T Cell Activation with a Photoactivatable Peptide MHC

Evaluation of Controlled T Cell Activation with a Photoactivatable Peptide MHC

Evaluation of Controlled T Cell Activation with a Photoactivatable Peptide MHC

Evaluation of Controlled T Cell Activation with a Photoactivatable Peptide MHC

Enhancing antigenic peptide discovery: Improved MHC-I binding prediction and methodology

The Major Histocompatibility Complex (MHC) is a critical element of the vertebrate cellular immune system, responsible for presenting peptides derived from intracellular proteins. MHC-I presentation is pivotal in the immune response and holds considerable potential in the realms of vaccine development and cancer immunotherapy. This study delves into the limitations of current methods and benchmarks for MHC-I presentation. We introduce a novel benchmark designed to assess generalization properties and the reliability of models on unseen MHC molecules and peptides, with a focus on the Human Leukocyte Antigen (HLA)–a specific subset of MHC genes present in humans. Finally, we introduce HLABERT, a pretrained language model that outperforms previous methods significantly on our benchmark and establishes a new state-of-the-art on existing benchmarks.

CD1a and skin T cells: a pathway for therapeutic intervention.

The CD1 and MR1 protein families present lipid antigens and small molecules to T cells, complementing well-studied major histocompatibility complex-peptide mechanisms. The CD1a subtype is highly and continuously expressed within the skin, most notably on Langerhans cells, and has been demonstrated to present self and foreign lipids to T cells, highlighting its cutaneous sentinel role. Alteration of CD1a-dependent T-cell responses has recently been discovered to contribute to the pathogenesis of several inflammatory skin diseases. In this review, we overview the structure and role of CD1a and outline the current evidence implicating CD1a in the development of psoriasis, atopic dermatitis and allergic contact dermatitis.