Antigen arrays in T cell immunology

Why must T cells be cross-reactive?

T cells must recognize a vast array of potential foreign peptide–MHC complexes. Comprehensive immune cover can only be provided if each T cell recognizes numerous peptides. The implications of this T cell cross-reactivity include autoimmune disease but also provide opportunities for multiple therapeutic interventions.

Clonal selection theory proposed that individual T cells are specific for a single peptide–MHC antigen. However, the repertoire of αβ T cell receptors (TCRs) is dwarfed by the vast array of potential foreign peptide–MHC complexes, and a comprehensive system requires each T cell to recognize numerous peptides and thus be cross-reactive. This compromise on specificity has profound implications because the chance of any natural peptide–MHC ligand being an optimal fit for its cognate TCR is small, as there will almost always be more-potent agonists. Furthermore, any TCR raised against a specific peptide–MHC complex in vivo can only be the best available solution from the naive T cell pool and is unlikely to be the best possible solution from the substantially greater number of TCRs that could theoretically be produced. This 'systems view' of TCR recognition provides a plausible cause for autoimmune disease and substantial scope for multiple therapeutic interventions.

A single autoimmune T cell receptor recognizes more than a million different peptides

The T cell receptor (TCR) orchestrates immune responses by binding to foreign peptides presented at the cell surface in the context of major histocompatibility complex (MHC) molecules. Effective immunity requires that all possible foreign peptide-MHC molecules are recognized or risks leaving holes in immune coverage that pathogens could quickly evolve to exploit. It is unclear how a limited pool of <10(8) human TCRs can successfully provide immunity to the vast array of possible different peptides that could be produced from 20 proteogenic amino acids and presented by self-MHC molecules (>10(15) distinct peptide-MHCs). One possibility is that T cell immunity incorporates an extremely high level of receptor degeneracy, enabling each TCR to recognize multiple peptides. However, the extent of such TCR degeneracy has never been fully quantified. Here, we perform a comprehensive experimental and mathematical analysis to reveal that a single patient-derived autoimmune CD8(+) T cell clone of pathogenic relevance in human type I diabetes recognizes >one million distinct decamer peptides in the context of a single MHC class I molecule. A large number of peptides that acted as substantially better agonists than the wild-type "index" preproinsulin-derived peptide (ALWGPDPAAA) were identified. The RQFGPDFPTI peptide (sampled from >10(8) peptides) was >100-fold more potent than the index peptide despite differing from this sequence at 7 of 10 positions. Quantification of this previously unappreciated high level of CD8(+) T cell cross-reactivity represents an important step toward understanding the system requirements for adaptive immunity and highlights the enormous potential of TCR degeneracy to be the causative factor in autoimmune disease.

Postinfectious immunodeficiency and autoimmunity: pathogenic and clinical values and implications

Autoimmunity is still a mystery of clinical immunology and medicine as a whole. The etiology and pathogenesis of autoimmune disorders remain unclear and, thus, are assessed as a balance between hereditary predisposition, triggering factors and the appearance of autoantibodies and/or self-reactive T cells. Among the immunological armamentarium, molecular mimicry, based on self-reactive T- and B-cell activation by cross-reactive epitopes of infectious agents, is of special value. Hypotheses regarding the possible involvement of molecular mimicry in the development of postinfectious autoimmunity are currently very intriguing. They provide new approaches for identifying etiological agents that are associated with postinfectious autoimmunity, paired microbial- and tissue-linked epitopes targeted for autoimmune reaction determination, postinfectious autoimmunity pathogenesis recognition and specific prevention, and therapy for autoimmune disorder development.

Rapid identification of CD4+ T-cell epitopes using yeast displaying pathogen-derived peptide library

Identification of CD4+ T-cell epitopes is a critical step in studying and modulating the immune responses to tumors, infectious agents, and autoantigens. Here we report a facile, accurate, and high-throughput method for CD4+ T-cell epitope identification using yeast displaying pathogen-derived peptide library. A library of DNA fragments that encode all the possible peptides with 10-20 amino acids from the antigens (single antigenic proteins or pathogenic organisms) are fused to the gene encoding the restriction single-chain MHC class II molecule in a yeast display vector. The resultant library of recombinant yeast cells are analyzed by FACS to identify those containing peptides with high affinity towards the restriction MHC molecule, which are subsequently screened for their ability to induce antigen-specific T-cell activation. DNA sequence analysis of selected positive clones results in direct identification of the antigenic peptides. We show that this method can be used to rapidly pinpoint the HA(306-322) epitope from the haemagglutinin protein and the entire influenza virus X31/A/Aichi/68 genome, respectively.

Mimotopes for alloreactive and conventional T cells in a peptide-MHC display library

The use of peptide libraries for the identification and characterization of T cell antigen peptide epitopes and mimotopes has been hampered by the need to form complexes between the peptides and an appropriate MHC molecule in order to construct a complete T cell ligand. We have developed a baculovirus-based peptide library method in which the sequence encoding the peptide is embedded within the genes for the MHC molecule in the viral DNA, such that insect cells infected with virus encoding a library of different peptides each displays a unique peptide-MHC complex on its surface. We have fished in such a library with two different fluorescent soluble T cell receptors (TCRs), one highly peptide specific and the other broadly allo-MHC specific and hypothesized to be much less focused on the peptide portion of the ligand. A single peptide sequence was selected by the former alphabetaTCR that, not unexpectedly, was highly related to the immunizing peptide. As hypothesized, the other alphabetaTCR selected a large family of peptides, related only by a similarity to the immunizing peptide at the p5 position. These findings have implications for the relative importance of peptide and MHC in TCR ligand recognition. This display method has broad applications in T cell epitope identification and manipulation and should be useful in general in studying interactions between complex proteins.

The role of T-cells in the pathogenesis of Type 1 diabetes: from cause to cure

Type 1 diabetes mellitus results from a T-cell mediated autoimmune destruction of the pancreatic beta cells in genetically predisposed individuals. The knowledge of the immunopathogenesis has increased enormously in the last two decades. The contribution of T-cells in the pathogenesis is beyond doubt. Therapies directed against T-cells have been shown to halt the disease process and prevent recurrent beta-cell destruction after islet transplantation. Less is known about the nature and function of these T-cells, the cause of the loss of tolerance to islet autoantigens, why the immune system apparently fails to suppress autoreactivity, and whether (or which) autoantigen(s) are critically involved in the initiation or progression of the disease. The contribution of dendritic cells in directing the immune response is clear, while the contribution of B-cells and autoantibodies is subject to reconsideration. Autoreactive T-cells have proven to be valuable tools to study pathogenic or diabetes-related processes. Measuring T-cell autoreactivity has also provided critical information to determine the fate of islet allografts transplanted to Type 1 diabetic patients. Cellular autoimmunity is a difficult study subject, but it has been a worthwhile quest to unravel the role of T-cells in the pathogenesis of Type 1 diabetes. The challenge for the future is to determine which factors contribute to the loss of tolerance to beta-cell antigens, and to define what measures T-cells can provide to suppress autoreactivity, since it is becoming increasingly evident that T-cells provide a two-edged sword: some T-cells could be pathogenic, but others can regulate the disease process and thus form new targets for immunointervention.

Tetramer binding and secretion of interferon-gamma in response to antigenic stimulation are compatible with a range of affinities of MHC:TCR interaction and distinct programs of cytotoxic T-lymphocyte activation

Tetramer staining and detection of IFN-gamma secretion in response to specific stimulation are widely used to quantify and isolate specific T-cells. However, it remains unclear how these assays reflect different functional outcomes of T-cell triggering with MHC:peptide ligands. An immunogenic EBV-derived A11-restricted CTL peptide epitope and its partially agonistic analogue trigger different programs of activation induced cell death (AICD) in specific CTLs. In this study we analysed a panel of CTL clones, bulk CTL cultures and PBMCs isolated from HLA A11-positive EBV-infected individuals for their ability to bind tetrameric complexes assembled with either of the two peptides and correlated tetramer binding with the activity of the peptides in functional assays. This analysis demonstrates that specific tetramer staining and secretion of IFN-gamma are compatible with at least two activation programs in CTLs. One of these programs corresponds to full-scale CTL activation and death of a proportion of activated T-cells in a Fas-dependent manner. In contrast, the alternative program is characterized by selective induction of IFN-gamma and TNF-alpha, absence of proliferative response and Fas-independent cell death. These findings may have important implications for the evaluation of data obtained with MHC:peptide tetramers and IFN-gamma secretion assays, especially in experimental systems with extensive antigenic variability.

Solid-phase epitope recovery: a high throughput method for antigen identification and epitope optimization

Self tolerance to MHC class I-restricted nonmutated self Ags is a significant hurdle to effective cancer immunotherapy. Compelling evidence is emerging that altered peptide ligands can be far more immunogenic than their corresponding native epitopes; however, there is no way to reliably predict which modifications will lead to enhanced native epitope-specific immune responses. We reasoned that this limitation could be overcome by devising an empirical screen in which the nearly complete combinatorial spectrum of peptides of optimal length can be rapidly assayed for reactivity with a MHC class I-restricted cytotoxic T cell clone. This method, solid-phase epitope recovery, quantitatively ranks all reactive peptides in the library and allows selection of altered peptide ligands having desirable immunogenic properties of interest. In contrast to rationally designed MHC anchor-modified peptides, peptides identified by the present method are highly substituted in predicted TCR contact residues and can reliably activate and expand effector cell populations in vitro which lyse target cells presenting the wild-type epitope. We demonstrate that solid-phase epitope recovery peptides corresponding to a poorly immunogenic epitope of the melanoma Ag, gp100, can reliably induce wild-type peptide-specific CTL using normal donor T cells in vitro. Furthermore, these peptides can complement one another to induce these responses in an overwhelming majority of normal individuals in vitro. These data provide a rationale for the design of superior vaccines comprising a mixture of structurally diverse yet functionally convergent peptides.

Protection from type 1 diabetes in the face of high levels of activated autoaggressive lymphocytes in a viral transgenic mouse model crossed to the SV129 strain

In comparing the incidence of virally induced type 1 diabetes in F(1) crosses of RIP-LCMV mice to three different mouse strains identical at the major histocompatibility complex H-2D(b) locus, we surprisingly found that disease development was reduced by 80% in F(1) crosses to the SV129 genetic background and by 60% after eight backcrosses to the original C57BL/6 RIP-LCMV mice. In this model, diabetes is strongly dependent on a virally induced H-2D(b)-restricted cytotoxic T-cell (CTL) response. Importantly, numbers and effector functions of autoaggressive CD4 and CD8 lymphocytes were not decreased in the protected mice, and CTLs were still able to kill syngeneic islet cells in vitro with equal efficacy compared with CTLs from the original RIP-LCMV strain. Furthermore, CTLs were able to extravasate into islets in vivo, and no evidence for induction of regulatory cells was observed. However, regeneration of beta-cells in islets under "attack" occurred only in the protected SV129-crossed animals, whereas it was not evident at any time in any mice that developed diabetes. Thus, genetic factors can "override" the diabetogenic potential of high numbers of autoaggressive lymphocytes through, for example, increased islet regeneration. This finding has important implications for interpreting numbers and pathogenicity of autoreactive lymphocytes in prediabetic patients of genetically diverse backgrounds.

Use of fluorescence polarization to monitor MHC-peptide interactions in solution

We describe here fluorescence polarization-based methods to investigate class I MHC-peptide interactions in solution. Fluorescein-labelled peptides were used to determine MHC/peptide complex association and dissociation constants as well as the equilibrium binding constant (KD). Furthermore, we developed a competition assay for the determination of IC50 values of nonlabelled compounds. Both kinetic and equilibrium parameters are of prime importance for the development of immunomodulating compounds. The assays described here show a good reproducibility and require only picomolar amounts of labelled tracers. A high ratio between the experimental values obtained for bound and free labelled ligand as well as a low standard deviation, permits the detection of class I MHC ligands with low affinity. Fluorescence polarization allows the direct measurement of the ratio between free and bound labelled ligand in solution without any separation step. Thus, in combination with microtiter-plates, the time for analysis is significantly decreased to 10 s per sample. Our assays represent versatile tools for characterizing the binding of single ligands as well as for rapid screening of large numbers of compounds.

Combinatorial peptide libraries and biometric score matrices permit the quantitative analysis of specific and degenerate interactions between clonotypic TCR and MHC peptide ligands

The interaction of TCRs with MHC peptide ligands can be highly flexible, so that many different peptides are recognized by the same TCR in the context of a single restriction element. We provide a quantitative description of such interactions, which allows the identification of T cell epitopes and molecular mimics. The response of T cell clones to positional scanning synthetic combinatorial libraries is analyzed with a mathematical approach that is based on a model of independent contribution of individual amino acids to peptide Ag recognition. This biometric analysis compares the information derived from these libraries composed of trillions of decapeptides with all the millions of decapeptides contained in a protein database to rank and predict the most stimulatory peptides for a given T cell clone. We demonstrate the predictive power of the novel strategy and show that, together with gene expression profiling by cDNA microarrays, it leads to the identification of novel candidate autoantigens in the inflammatory autoimmune disease, multiple sclerosis.

Proteomics of the nervous system

The recent success of large-scale industrialized genomic sequencing opens new doors in studies of biological systems. In the current post-genomic era we must ask how to translate this DNA sequence information into an understanding of living cells, tissues and organisms. One of the major goals is to characterize protein function, biochemical pathways and networks. Achieving this aim is greatly advanced by application of new proteomic tools combined with database mining. Neuroscience in particular is poised to benefit from these approaches in light of its high complexity and cross-talk between different neurotransmitter receptors within the same synapse or across the synaptic cleft. Little is known about the global in vivo protein interactions within synapses, and the knowledge of all proteins present in such structures will help in determining sub-complexes and the modular arrangement of proteins within them. This article reviews the impact of and outlines the application of proteomic analysis in the field of neuroscience, illustrating this with the example of NMDA receptor complexes.

Cytomegalovirus in autoimmunity: T cell crossreactivity to viral antigen and autoantigen glutamic acid decarboxylase

Antigens of pathogenic microbes that mimic autoantigens are thought to be responsible for the activation of autoreactive T cells. Viral infections have been associated with the development of the neuroendocrine autoimmune diseases type 1 diabetes and stiff-man syndrome, but the mechanism is unknown. These diseases share glutamic acid decarboxylase (GAD65) as a major autoantigen. We screened synthetic peptide libraries dedicated to bind to HLA-DR3, which predisposes to both diseases, using clonal CD4(+) T cells reactive to GAD65 isolated from a prediabetic stiff-man syndrome patient. Here we show that these GAD65-specific T cells crossreact with a peptide of the human cytomegalovirus (hCMV) major DNA-binding protein. This peptide was identified after database searching with a recognition pattern that had been deduced from the library studies. Furthermore, we showed that hCMV-derived epitope can be naturally processed by dendritic cells and recognized by GAD65 reactive T cells. Thus, hCMV may be involved in the loss of T cell tolerance to autoantigen GAD65 by a mechanism of molecular mimicry leading to autoimmunity.