I-associated Peptides Research Articles

Long-range alternative splicing contributes to neoantigen specificity in glioblastoma.

Recent advances in neoantigen research have accelerated the development of immunotherapies for cancers, such as glioblastoma (GBM). Neoantigens resulting from genomic mutations and dysregulated alternative splicing have been studied in GBM. However, these studies have primarily focused on annotated alternatively-spliced transcripts, leaving non-annotated transcripts largely unexplored. Circular ribonucleic acids (circRNAs), abnormally regulated in tumors, are correlated with the presence of non-annotated linear transcripts with exon skipping events. But the extent to which these linear transcripts truly exist and their functions in cancer immunotherapies remain unknown. Here, we found the ubiquitous co-occurrence of circRNA biogenesis and alternative splicing across various tumor types, resulting in large amounts of long-range alternatively-spliced transcripts (LRs). By comparing tumor and healthy tissues, we identified tumor-specific LRs more abundant in GBM than in normal tissues and other tumor types. This may be attributable to the upregulation of the protein quaking in GBM, which is reported to promote circRNA biogenesis. In total, we identified 1057 specific and recurrent LRs in GBM. Through in silico translation prediction and MS-based immunopeptidome analysis, 16 major histocompatibility complex class I-associated peptides were identified as potential immunotherapy targets in GBM. This study revealed long-range alternatively-spliced transcripts specifically upregulated in GBM may serve as recurrent, immunogenic tumor-specific antigens.

Abstract 2082: Identification of nonsense-mediated decay inhibitors that alter the tumor immune landscape

Abstract Despite exciting developments in cancer immunotherapy, its broad application is limited by the paucity of targetable antigens on the tumor cell surface. As an intrinsic cellular pathway, nonsense-mediated decay (NMD) conceals neoantigens through the destruction of the RNA products from genes harboring truncating mutations. We developed and conducted a high throughput screen, based on the ratiometric analysis of transcripts, to identify critical mediators of NMD. This screen revealed disruption of kinase SMG1’s phosphorylation of UPF1 as a potent disruptor of NMD. This led us to design a novel SMG1 inhibitor, KVS0001, that elevates the expression of transcripts and proteins resulting from truncating mutations in vivo and in vitro. Most importantly, KVS0001 concomitantly increased the presentation of immune-targetable HLA class I-associated peptides from NMD-downregulated proteins on the surface of cancer cells. KVS0001 provides new opportunities for studying NMD and the diseases in which NMD plays a role, including cancer and inherited diseases. Citation Format: Ashley L. Cook, ojit Sur, Laura Dobbyn, Evangeline Watson, Joshua D. Cohen, Blair Ptak, Bum Seok Lee, Suman Paul, Emily Hsiue, Maria Popoli, Bert Vogelstein, Nickolas Papadopoulos, Chetan Bettegowda, Kathy Gabrielson, Shibin Zhou, Kenneth Kinzler, Nicolas Wyhs. Identification of nonsense-mediated decay inhibitors that alter the tumor immune landscape [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2082.

The thymoproteasome in shaping the CD8+ T-cell repertoire.

The thymoproteasome is a type of proteasome expressed specifically in thymic cortical epithelial cells. Thymoproteasome affects antigen processing of major histocompatibility complex (MHC)-I-associated peptides and optimizes positive selection of CD8+ T cells. However, it remains unanswered whether and how thymoproteasome-dependent MHC-I-associated self-peptides contribute to positive selection of cortical thymocytes. This short piece discusses the potential mechanisms of thymoproteasome contribution to positive selection of MHC-I-restricted CD8+ T cells.

Abstract 2987: BamQuery: a new proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens

Abstract MHC class I-associated peptides (MAPs), collectively referred to as the immunopeptidome, have a pivotal role in cancer immunosurveillance. While MAPs were long thought to be solely generated by the degradation of canonical proteins, recent advances in the field of proteogenomics (genomically-informed proteomics) evidenced that ∼10% of them originate from allegedly noncoding genomic sequences. Among these sequences, endogenous retroelements (EREs) are under intense scrutiny as a possible source of actionable tumor antigens (TAs). With the increasing number of cancer-oriented immunopeptidomic and proteogenomic studies comes the need to accurately attribute an RNA expression level to each MAP identified by mass-spectrometry. Here, we introduce BamQuery (BQ), a computational tool to attribute an exhaustive RNA expression to MAPs of any genomic origin (exon, intron, UTR, intergenic) from bulk and single-cell RNA-sequencing data. By using BQ on large datasets of published MAPs identified by mass spectrometry, we show that many of them can arise from more than one genomic region. Indeed, 27% of MAPs reported as deriving from protein-coding exons (canonical MAPs) could also arise from non-canonical genomic regions, sometimes with greater probability, and 61% of non-canonical MAPs could arise from more than a single genomic origin (334 possible regions on average per non-canonical MAP; up to 35,343 for EREs). The consideration of all these origins evidenced an unsuspected high RNA expression in normal human tissues of (i) published neoantigens/TAs (mutated or not); (ii) MAPs derived from proteasomal splicing, supposedly not genomically templated, and (iii) MAPs derived from viruses. In particular, the high expression of candidate immunotherapeutic targets such as TAs highlights the relevance of BamQuery and the necessity of using it to validate such antigens before translating their usage in clinical trials. We also demonstrate that BamQuery can be used to directly identify safe and actionable TAs as well as to predict their immunogenicity through our freely accessible web portal (https://bamquery.iric.ca/search). Therefore, BQ could become an essential tool in any TA prioritization pipeline in the near future. Citation Format: Maria-Virginia Ruiz Cuevas, Marie-Pierre Hardy, Jean-David Larouche, Anca Apavaloaei, Eralda Kina, Krystel Vincent, Patrick Gendron, Jean-Philippe Laverdure, Chantal Durette, Pierre Thibault, Sebastien Lemieux, Claude Perreault, Gregory Ehx. BamQuery: a new proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2987.

The tumor-specific antigen landscape of acute myeloid leukemia

In theory, tumor-specific antigens (TSAs) represent ideal targets for cancer immunotherapy, but none have been identified in acute myeloid leukemia (AML) so far. We have recently designed a proteogenomic approach allowing the identification of MHC class I-associated peptides deriving from any reading frame of all genomic regions (not only from exons). Using this approach, we could identify 82 TSAs from 18 primary human AML samples. All these TSAs derived from unmutated transcripts which were aberrantly expressed by allegedly non-coding regions of the genome (that would have been missed by conventional exome-based approaches). In agreement with previous reports showing that high intron retention is a key feature in AML, we found that introns were the main source of TSAs (54.8%). The TSAs were presented by 24 different HLA allotypes, together covering 98,04% of the world population. The examination of the expression of the RNAs coding for the TSAs showed that most of them (68%) were expressed by at least 50% of AML samples in the “The Cancer Genome Atlas” (TCGA) cohort while all of them were either expressed at very low levels or not expressed at all in normal tissues (from the “Genotype-Tissue Expression” (GTEx) project). We have yet to discover the specific epigenetic changes leading to TSA expression in cancer cells. Meanwhile, we propose that vaccination against ab- errantly expressed TSAs could be used to treat a vast majority of patients, with minimal risks of collateral damage to healthy normal tissues.

Induced pluripotent stem cells display a distinct set of MHC I-associated peptides shared by human cancers.

Previous reports showed that mouse vaccination with pluripotent stem cells (PSCs) induces durable anti-tumor immune responses via Tcell recognition of some elusive oncofetal epitopes. We characterize the MHC I-associated peptide (MAP) repertoire of human induced PSCs (iPSCs) using proteogenomics. Our analyses reveal a set of 46 pluripotency-associated MAPs (paMAPs) absent from the transcriptome of normal tissues and adult stem cells but expressed in PSCs and multiple adult cancers. These paMAPs derive from coding and allegedly non-coding (48%) transcripts involved in pluripotency maintenance, and their expression in The Cancer Genome Atlas samples correlates with source gene hypomethylation and genomic aberrations common across cancer types. We find that several of these paMAPs were immunogenic. However, paMAP expression in tumors coincides with activation of pathways instrumental in immune evasion (WNT, TGF-β, and CDK4/6). We propose that currently available inhibitors of these pathways could synergize with immune targeting of paMAPs for the treatment of poorly differentiated cancers.

MhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets

MS-based immunopeptidomics is maturing into an automatized and high-throughput technology, producing small- to large-scale datasets of clinically relevant major histocompatibility complex (MHC) class I-associated and class II-associated peptides. Consequently, the development of quality control (QC) and quality assurance systems capable of detecting sample and/or measurement issues is important for instrument operators and scientists in charge of downstream data interpretation. Here, we created MhcVizPipe (MVP), a semiautomated QC software tool that enables rapid and simultaneous assessment of multiple MHC class I and II immunopeptidomic datasets generated by MS, including datasets generated from large sample cohorts. In essence, MVP provides a rapid and consolidated view of sample quality, composition, and MHC specificity to greatly accelerate the “pass–fail” QC decision-making process toward data interpretation. MVP parallelizes the use of well-established immunopeptidomic algorithms (NetMHCpan, NetMHCIIpan, and GibbsCluster) and rapidly generates organized and easy-to-understand reports in HTML format. The reports are fully portable and can be viewed on any computer with a modern web browser. MVP is intuitive to use and will find utility in any specialized immunopeptidomic laboratory and proteomics core facility that provides immunopeptidomic services to the community.

What We See, What We Do Not See, and What We Do Not Want to See in HLA Class I Immunopeptidomes.

The identification of peptides bound to human leukocyte antigen class I (HLA-I) molecules-that is, the HLA-I immunopeptidome-is a useful tool in the hunt for epitopes suitable for vaccinations and immunotherapies. These peptides are mainly generated by proteasomes through peptide hydrolysis and peptide splicing. In this issue, Nicastri and colleagues compared different methods for the elution of HLA class I-associated peptides. It is demonstrated that the choice of HLA-associated peptide enrichment and purification strategy affects peptide yields and creates a bias in detected sequence repertoire. The author carried out this technical brief through the analysis of canonical non-spliced peptides. However, their study left out any analysis of post-translationally spliced peptides, thereby missing an opportunity to shed light on the persistent debate of the frequency of these unconventional peptides.

Widespread and tissue-specific expression of endogenous retroelements in human somatic tissues

BackgroundEndogenous retroelements (EREs) constitute about 42% of the human genome and have been implicated in common human diseases such as autoimmunity and cancer. The dominant paradigm holds that EREs are expressed in embryonic stem cells (ESCs) and germline cells but are repressed in differentiated somatic cells. Despite evidence that some EREs can be expressed at the RNA and protein levels in specific contexts, a system-level evaluation of their expression in human tissues is lacking.MethodsUsing RNA sequencing data, we analyzed ERE expression in 32 human tissues and cell types, including medullary thymic epithelial cells (mTECs). A tissue specificity index was computed to identify tissue-restricted ERE families. We also analyzed the transcriptome of mTECs in wild-type and autoimmune regulator (AIRE)-deficient mice. Finally, we developed a proteogenomic workflow combining RNA sequencing and mass spectrometry (MS) in order to evaluate whether EREs might be translated and generate MHC I-associated peptides (MAP) in B-lymphoblastoid cell lines (B-LCL) from 16 individuals.ResultsWe report that all human tissues express EREs, but the breadth and magnitude of ERE expression are very heterogeneous from one tissue to another. ERE expression was particularly high in two MHC I-deficient tissues (ESCs and testis) and one MHC I-expressing tissue, mTECs. In mutant mice, we report that the exceptional expression of EREs in mTECs was AIRE-independent. MS analyses identified 103 non-redundant ERE-derived MAPs (ereMAPs) in B-LCLs. These ereMAPs preferentially derived from sense translation of intronic EREs. Notably, detailed analyses of their amino acid composition revealed that ERE-derived MAPs presented homology to viral MAPs.ConclusionsThis study shows that ERE expression in somatic tissues is more pervasive and heterogeneous than anticipated. The high and diversified expression of EREs in mTECs and their ability to generate MAPs suggest that EREs may play an important role in the establishment of self-tolerance. The viral-like properties of ERE-derived MAPs suggest that those not expressed in mTECs can be highly immunogenic.

Abstract B16: Identification of tumor-specific antigens shared by induced pluripotent stem cells

Abstract The development of cancer immunotherapeutics is limited by the tumor-specific antigen (TSA) discovery. Cancer cells and pluripotent stem cells, i.e., embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), show a significant transcriptomic overlap. Indeed, when used as prophylactic vaccines in another study, iPSCs prevented tumor growth in mouse models of lung, breast, and skin cancer, suggesting that we could mine iPSCs for the discovery of TSAs. We use a recently developed proteogenomic approach combining RNA-sequencing and mass spectrometry to characterize the immunopeptidome (MHC class I-associated peptides) of iPSCs. Analyses of hitherto one human iPS cell line allowed us to identify 9 MHC class I-associated antigens that were not expressed by normal somatic tissues and thus are likely immunogenic. 50% of these antigens were highly expressed in different cancer types from The Cancer Genome Atlas, highlighting their potential for cancer immunotherapy. Expression of these TSAs resulted from aberrant expression of noncoding genomic regions and not from mutations, making them ideal candidates for antigen-based cancer vaccines. Our study indicates which stem cell features present in cancer cells might be harnessed for cancer immunotherapy. Moreover, we show for the first time that the immunopeptidome of iPSCs reflects the state of pluripotency. Cancer stem cells are known to drive disease relapse after treatment, while cancer circulating cells possessing pluripotent stem cell features are more efficient at producing metastases. These factors indicate that treatments targeted at stemness could improve clinical outcome, and that iPSC-informed TSAs hold promise for prophylactic and therapeutic cancer vaccines. Citation Format: Anca Apavaloaei, Marie-Pierre Hardy, Jean-David Larouche, Qingchuan Zhao, Krystel Vincent, Jean-Philippe Laverdure, Chantal Durette, Joel Lanoix, Pierre Thibault, Claude Perreault. Identification of tumor-specific antigens shared by induced pluripotent stem cells [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2019 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2020;8(3 Suppl):Abstract nr B16.

A large peptidome dataset improves HLA class I epitope prediction across most of the human population.

Prediction of HLA epitopes is important for the development of cancer immunotherapies and vaccines. However, current prediction algorithms have limited predictive power, in part because they were not trained on high-quality epitope datasets covering a broad range of HLA alleles. To enable prediction of endogenous HLA class I–associated peptides across a large fraction of the human population, we used mass spectrometry to profile >185,000 peptides eluted from 95 HLA-A, B, C and G mono-allelic cell lines. We identified canonical peptide motifs per HLA allele, unique and shared binding submotifs across alleles, and distinct motifs associated with different peptide lengths. By integrating these data with transcript abundance and peptide processing, we developed HLAthena, providing allele-and-length-specific and pan-allele-pan-length prediction models for endogenous peptide presentation. These models predicted endogenous HLA class I–associated ligands with 1.5-fold improvement in positive predictive value compared with existing tools and correctly identified >75% of HLA-bound peptides that were observed experimentally in 11 patient-derived tumor cell lines.

Abstract 1438: Integrated proteogenomics utilizing mass spectrometry to identify MHC-associated neopeptides in EGFR mutant lung adenocarcinoma

Abstract Introduction: The epidermal growth factor receptor (EGFR) is one of the most frequently mutated oncogenes in human lung cancer. Although immune checkpoint inhibitors have been therapeutically effective in multiple cancers, patients harboring EGFR mutations have not responded well to this immunotherapy. Adoptive T cell therapy (ACT) has resulted in complete and durable regression of metastatic cancers. ACT requires that neoantigens are presented by major histocompatibility complex (MHC) class I molecules on tumor but not normal cells. The MHC binding algorithms, such as IEDB, most commonly used for antigen prediction on MHC molecules is far from perfect; thus, experimental proof of MHC-bound peptides is needed to provide direct evidence of antigen presentation. Method: We developed a mass spectrometry (MS)-based platform integrated with a whole exome sequencing (WES)-based protein database to identify tumor-specific mutant peptides presented by MHC class I. Experiments were conducted using EGFR mutant PC9 lung adenocarcinoma cell line that harbors the EGFRDel746-750mutant. MHC class I proteins and their associated peptides were immunoprecipitated, and the peptides separated from MHC proteins. The MHC proteins were subjected to trypsin digestion and HLA typing using MS. Class I-associated peptides underwent C-18 separation and tandem MS analysis. A PC9-specific database was built adding all SNVs and INDELs identified by WES to the normal human database and used to search MS data. Peptides identified by MS were subjected to IEDB algorithm search using PC9 specific HLA types. Results: The MS HLA typing identified A*02, A*24, and B*39 in PC9 cells. We identified 13,765 MHC bound peptides. 10,711 peptides were 6~15 amino acid residues in length (6~15mer), which are generally considered as class I epitopes. Using the PC9-specific protein database, 11 variant peptides (neo-peptides) were identified. These include plectin isoform 1 (PLEC_H1459R, 9mer), proteasome subunit beta type-4 (PSMB4_I234T, 9mer), prostaglandin reductase 1 (PTGR1_A27S, 8mer), cytochrome b-c1 complex subunit Rieske mitochondrial (UQCRFS1_S6A, 7mer) and obscurin-like protein 1 (OBSL1_E1365D, 10mer). The IEDB results predicted the binding of PLEC_H1459R with HLA-B*39, OBSL1_E1365D with HLA-A*02 and PSMB4_I234T with HLA-A*24; however, 8 identified variant peptides were not predicted by IEDB. Conclusion: Our MS data provided direct experimental evidence for MHC class I presentation of 11 neopeptides in PC9 cells. Neopeptides discovered by this proteogenomic platform could potentially trigger T cell response, which needs to be validated by immunological assays. Experiments are underway to utilize this workflow to identify variant neopeptides from patient tumors and patient-derived xenografts (PDXs). Citation Format: Yue Qi, Tapan K. Maity, Xu Zhang, Shaojian Gao, Nitin Roper, Meriam Bahta, Khoadang Nguyen, Constance M. Cultraro, Udayan Guha. Integrated proteogenomics utilizing mass spectrometry to identify MHC-associated neopeptides in EGFR mutant lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1438.

Thymoproteasome and peptidic self.

Positive selection of T cells in the thymus is induced by low-affinity TCR recognition of self-peptide-MHC complexes expressed by cortical thymic epithelial cells (cTECs). cTECs express a specialized type of proteasomes, the thymoproteasome, which generates a unique spectrum of MHC class I-associated peptides and plays a critical role in thymic positive selection of CD8+ T cells. However, it remains unclear how the thymoproteasome contributes to the thymic positive selection. More than 30years ago, the "peptidic self" hypothesis proposed that TCRs recognize MHC-presented peptides only, without interacting with MHC molecules, which turned out to be incorrect. Interestingly, however, by implying that a set of MHC-associated peptides forms immunological self, this hypothesis also predicted that positive selection in the thymus is the primary immune response to "foreign epitope" peptides during T cell development. The thymoproteasome-dependent unique self-peptides may create those foreign epitope peptides displayed in the thymus for positive selection of T cells.

Exploiting non-canonical translation to identify new targets for T cell-based cancer immunotherapy.

Cryptic MHC I-associated peptides (MAPs) are produced via two mechanisms: translation of protein-coding genes in non-canonical reading frames and translation of allegedly non-coding sequences. In general, cryptic MAPs are coded by relatively short open reading frames whose translation can be regulated at the level of initiation, elongation or termination. In contrast to conventional MAPs, the processing of cryptic MAPs is frequently proteasome independent. The existence of cryptic MAPs derived from allegedly non-coding regions enlarges the scope of CD8 T cell immunosurveillance from a mere ~2% to as much as ~75% of the human genome. Considering that 99% of cancer-specific mutations are located in those allegedly non-coding regions, cryptic MAPs could furthermore represent a particularly rich source of tumor-specific antigens. However, extensive proteogenomic analyses will be required to determine the breath as well as the temporal and spatial plasticity of the cryptic MAP repertoire in normal and neoplastic cells.

Identification of Glycopeptides as Posttranslationally Modified Neoantigens in Leukemia.

Leukemias are highly immunogenic, but they have a low mutational load, providing few mutated peptide targets. Thus, the identification of alternative neoantigens is a pressing need. Here, we identify 36 MHC class I-associated peptide antigens with O-linked β-N-acetylglucosamine (O-GlcNAc) modifications as candidate neoantigens, using three experimental approaches. Thirteen of these peptides were also detected with disaccharide units on the same residues and two contain either mono- and/or di-methylated arginine residues. A subset were linked with key cancer pathways, and these peptides were shared across all of the leukemia patient samples tested (5/5). Seven of the O-GlcNAc peptides were synthesized and five (71%) were shown to be associated with multifunctional memory T-cell responses in healthy donors. An O-GlcNAc-specific T-cell line specifically killed autologous cells pulsed with the modified peptide, but not the equivalent unmodified peptide. Therefore, these posttranslationally modified neoantigens provide logical targets for cancer immunotherapy. Cancer Immunol Res; 5(5); 376-84. ©2017 AACR.

MHC class I–associated peptides derive from selective regions of the human genome

MHC class I-associated peptides (MAPs) define the immune self for CD8+ T lymphocytes and are key targets of cancer immunosurveillance. Here, the goals of our work were to determine whether the entire set of protein-coding genes could generate MAPs and whether specific features influence the ability of discrete genes to generate MAPs. Using proteogenomics, we have identified 25,270 MAPs isolated from the B lymphocytes of 18 individuals who collectively expressed 27 high-frequency HLA-A,B allotypes. The entire MAP repertoire presented by these 27 allotypes covered only 10% of the exomic sequences expressed in B lymphocytes. Indeed, 41% of expressed protein-coding genes generated no MAPs, while 59% of genes generated up to 64 MAPs, often derived from adjacent regions and presented by different allotypes. We next identified several features of transcripts and proteins associated with efficient MAP production. From these data, we built a logistic regression model that predicts with good accuracy whether a gene generates MAPs. Our results show preferential selection of MAPs from a limited repertoire of proteins with distinctive features. The notion that the MHC class I immunopeptidome presents only a small fraction of the protein-coding genome for monitoring by the immune system has profound implications in autoimmunity and cancer immunology.

I've got algorithm: predicting tumor and autoimmune peptide targets for CD8+ T cells.

CD8+ T cells play a central role in eradicating intracellular pathogens, but also are important for noninfectious diseases, including cancer and autoimmunity. The ability to clinically manipulate CD8+ T cells to target cancer and autoimmune disease is limited by our ignorance of relevant self-peptide target antigens. In this issue of the JCI, Pearson et al. describe 25,270 MHC class I-associated peptides presented by a wide range of HLA A and B allomorphs expressed by 18 different B cell lines. Via extensive bioinformatic analysis, the authors make surprising conclusions regarding the selective nature of peptide generation at the level of individual gene products and create a predictive algorithm for disease-relevant self-peptides that will be of immediate use for clinical and basic immunological research.

Global proteogenomic analysis of human MHC class I-associated peptides derived from non-canonical reading frames

In view of recent reports documenting pervasive translation outside of canonical protein-coding sequences, we wished to determine the proportion of major histocompatibility complex (MHC) class I-associated peptides (MAPs) derived from non-canonical reading frames. Here we perform proteogenomic analyses of MAPs eluted from human B cells using high-throughput mass spectrometry to probe the six-frame translation of the B-cell transcriptome. We report that ∼10% of MAPs originate from allegedly noncoding genomic sequences or exonic out-of-frame translation. The biogenesis and properties of these ‘cryptic MAPs' differ from those of conventional MAPs. Cryptic MAPs come from very short proteins with atypical C termini, and are coded by transcripts bearing long 3′UTRs enriched in destabilizing elements. Relative to conventional MAPs, cryptic MAPs display different MHC class I-binding preferences and harbour more genomic polymorphisms, some of which are immunogenic. Cryptic MAPs increase the complexity of the MAP repertoire and enhance the scope of CD8 T-cell immunosurveillance.

TCR affinity for thymoproteasome-dependent positively selecting peptides conditions antigen responsiveness in CD8(+) T cells.

In the thymus, low-affinity T cell antigen receptor (TCR) engagement facilitates positive selection of a useful T cell repertoire. Here we report that TCR responsiveness of mature CD8(+) T cells is fine tuned by their affinity for positively selecting peptides in the thymus and that optimal TCR responsiveness requires positive selection on major histocompatibility complex class I-associated peptides produced by the thymoproteasome, which is specifically expressed in the thymic cortical epithelium. Thymoproteasome-independent positive selection of monoclonal CD8(+) T cells results in aberrant TCR responsiveness, homeostatic maintenance and immune responses to infection. These results demonstrate a novel aspect of positive selection, in which TCR affinity for positively selecting peptides produced by thymic epithelium determines the subsequent antigen responsiveness of mature CD8(+) T cells in the periphery.

Early Kinetics of the HLA Class I-Associated Peptidome of MVA.HIVconsv-Infected Cells.

ABSTRACTCytotoxic T cells substantially contribute to the control of intracellular pathogens such as human immunodeficiency virus type 1 (HIV-1). Here, we evaluated the immunopeptidome of Jurkat cells infected with the vaccine candidate MVA.HIVconsv, which delivers HIV-1 conserved antigenic regions by using modified vaccinia virus Ankara (MVA). We employed liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify 6,358 unique peptides associated with the class I human leukocyte antigen (HLA), of which 98 peptides were derived from the MVA vector and 7 were derived from the HIVconsv immunogen. Human vaccine recipients responded to the peptide sequences identified by LC-MS/MS. Peptides derived from the conserved HIV-1 regions were readily detected as early as 1.5 h after MVA.HIVconsv infection. Four of the seven conserved peptides were monitored between 0 and 3.5 h of infection by using quantitative mass spectrometry (Q-MS), and their abundance in HLA class I associations reflected levels of the whole HIVconsv protein in the cell. While immunopeptides delivered by the incoming MVA vector proteins could be detected, all early HIVconsv-derived immunopeptides were likely synthesized de novo. MVA.HIVconsv infection generally altered the composition of HLA class I-associated human (self) peptides, but these changes corresponded only partially to changes in the whole cell host protein abundance.IMPORTANCE The vast changes in cellular antigen presentation after infection of cells with a vectored vaccine, as shown here for MVA.HIVconsv, highlight the complexity of factors that need to be considered for efficient antigen delivery and presentation. Identification and quantitation of HLA class I-associated peptides by Q-MS will not only find broad application in T-cell epitope discovery but also inform vaccine design and allow evaluation of efficient epitope presentation using different delivery strategies.