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Mixed lymphocyte cultures can predict TCR Vbeta repertoires of T cells infiltrating kidney transplants during acute rejection episodes.

Alloreactive T cell populations can show skewing of T-cell antigen receptor (TCR) Vbeta gene usage. The aims of the experiments were to compare in vivo and in vitro T cell alloresponses against donor alloantigens for TCR Vbeta gene usage. T-cell cultures from renal biopsies taken during acute rejection and pretransplant mixed lymphocyte cultures (MLC) were established from five renal transplant patients. TCR Vbeta gene usage, assessed with Vbeta family specific antibodies, showed that up to five different Vbeta families were significantly expanded. In four of five cases, there was close concordance between Vbeta families expanded from the biopsy and in MLC. T-cell clones from one renal biopsy were specific for the mismatched donor alloantigen and showed similar TCR Vbeta gene usage to the original T-cell line. The results show very similar patterns of TCR Vbeta gene usage in alloreactive T cells generated ex vivo or in vitro.

Acute Disease↗

The T cell receptors of human gamma delta T cells reactive to Mycobacterium tuberculosis are encoded by specific V genes but diverse V-J junctions.

The observation that gamma delta T lymphocytes react to mycobacteria has provided an important model for investigation of these cells in the immune response to infection. One important question regarding human gamma delta T cells is the breadth of the T cell repertoire in response to specific pathogens. The present study was undertaken to characterize, in molecular terms, the mycobacterium-specific gamma delta TCR repertoire. Mononuclear cells were isolated from the peripheral blood and pleural fluid of patients with tuberculous pleuritis and stimulated with Mycobacterium tuberculosis in vitro. Cytofluorometric analysis of the expressed gamma delta TCR repertoire of M. tuberculosis expanded cells was performed using anti-V region antibodies. The majority of responding gamma delta T cells express a receptor composed of V delta 2 and V gamma 9 chains. Molecular analysis by PCR amplification confirmed use of the V delta 2 and V gamma 9 gene segments in these cells, and demonstrated predominant usage of J delta 1 and J gamma P gene segments. Analysis of nucleotide sequence at the V-J junctions revealed extensive diversity including nucleotide deletions of V, D, and J gene segments and nucleotide segment additions. The predicted amino acid sequences further indicates diversity in the V-J encoded region of the protein chains. The data indicate that M. tuberculosis-driven expansion of gamma delta T cells in vitro depends on specific pairing of the V delta 2 and V gamma 9 polypeptide chains, without apparent selection of explicit V-J junction regions.

Amino Acid Sequence↗

Influence of interleukin-2 administration on the expression of T-cell receptor V gene segments in patients with renal-cell carcinoma.

Tumor regression induced by IL-2 in a fraction of patients with metastatic renal-cell carcinoma (MRCC) could not be predicted by immunological monitoring. In addition, the general mechanisms leading to tumor regression or even the distinct cell subsets (e.g., T vs. NK cells) involved are poorly identified. To evaluate the influence of IL-2 administration on circulating T-cell subpopulations, TCR V alpha and V beta gene segment usage was analysed by PCR in 7 MRCC patients using a panel of V gene segment subfamily-specific oligonucleotide primers (V alpha I-w29/V beta I-w24). Three samples were examined in each patient: (i) peripheral blood cells (PBMCs) before therapy (day I); (ii) PBMC 2 days after the interruption of IL-2, at day 36 (i.e., at the lymphocytic rebound), (iii) the CD25-enriched cell fraction at day 36. Virtually all V alpha and V beta subfamily specificities were found in pre- as well as in post-treatment PBMCs and CD25+ cell fractions. These results support the view that circulating T-cell subpopulations are highly polyclonal after IL-2 therapy without any major alteration in the TCR V alpha and V beta repertoire. In addition, the results of quantificative densitometric analysis of V alpha and V beta amplified products suggest that a unique V beta 18-expressing T-cell subpopulation may be expanded in the CD25+ cell fraction after IL-2 therapy. Further characterization of these T cells may contribute to a better understanding of in vivo effects of IL-2 on renal-cell carcinoma metastases.

Adolescent↗

EPIC: multi-objective guided diffusion for epitope design in TCR-pMHC complexes.

MOTIVATION: T cell receptor (TCR) recognition of peptide-major histocompatibility complex (pMHC) complexes is central to adaptive immunity, yet rational design of immunogenic epitopes remains elusive due to complex triplet binding constraints and data scarcity. No existing method can generate epitopes satisfying simultaneous requirements for antigenicity, MHC presentation, and TCR specificity. RESULTS: We present EPIC, a multi-objective diffusion framework that decomposes TCR-pMHC binding into three biologically grounded sub-tasks, enabling training-free gradient guidance without end-to-end retraining. By integrating ESM-based classifiers with a peptide diffusion generator, EPIC leverages heterogeneous immunological interaction datasets to generate diverse, context-aware epitopes. EPIC-designed top-three epitopes achieve lower predicted interface energies compared to ground-truth epitopes in 78.31% of test cases, while maintaining 80.1% sequence novelty and comparable structural confidence. Generated epitopes exhibit 100% uniqueness, high diversity (64.05%), and high antigenicity scores (0.4723). To our knowledge, EPIC is the first computational framework capable of de novo epitope design while explicitly integrating the triplet constraints of TCR-pMHC binding. This paradigm shift from discovery to design unlocks new potential for personalized cancer vaccines, precision adoptive T cell therapy, and rapid response to emerging infectious diseases. AVAILABILITY AND IMPLEMENTATION: The source code of EPIC is available at https://github.com/Octopus125/EPIC and archived on Zenodo (DOI: 10.5281/zenodo.18537646).

Receptors, Antigen, T-Cell↗

A model for the mechanism of transmission ratio distortion and for t-associated hybrid sterility.

A mechanistic model is presented to account for the action of t-complex of mice. This model takes account of recent evidence suggesting that t-complex distorters are amorphs or hypomorphs. Following Lyon's (Genet. Res. 59, 27 (1992) scheme, the model proposes that the t-complex distorter (tcd+) loci for normal function than does the wild-type form of tcr. However, a tradeoff against this ability to drive is a reduced efficiency of the haploid specific product of tcrt in the absence of drive. Regulation of tcr could be achieved by differential splicing or post-translational modification under the control of the t-complex distorters. It is shown that the model is consistent with known fertility and distortion data, as well as with the finding that the mechanism of drive is intimately connected with the mechanism of intraspecific homozygous sterility. Importantly, the model predicts that the mechanism of hybrid sterility associated with the t-complex is the same as the mechanism of intraspecific homozygous sterility. If accepted then this will be, to the best of the author's knowledge, the first description and characterization of a Haldane rule sterility gene. The new understanding of the mechanisms of t-complex shows its mode of operation to be fundamentally different to the only other well-described autosomal meiotic driver, Segregation Distorter (SD) of Drosophila melanogaster.

Alleles↗

Lipoprotein lipase mRNA expression in whole blood is a prognostic marker in B cell chronic lymphocytic leukemia.

BACKGROUND: Chronic lymphocytic leukemia (CLL) is characterized by high individual variability in clinical course and the need for therapy. Differentiation of prognostic subgroups is based primarily on the mutation status of the genes for the variable region of the immunoglobulin heavy chain (IGHV). The time- and labor-intensive nature of this analysis necessitates the use of easily applicable surrogate markers. METHODS: We developed a quantitative PCR (qPCR) method for determining lipoprotein lipase (LPL) mRNA expression and analyzed samples of lysed whole blood and CD19-selected cells from 50 CLL patients. Associations of LPL and ZAP70 [zeta-chain (TCR) associated protein kinase 70 kDa] expression with IGHV mutation status, overall survival (OS), and treatment-free survival (TFS) were investigated. RESULTS: Lysed samples of whole blood and CD19-selected cells were similar with respect to LPL expression (R = 0.88; P <0.0001). LPL expression was significantly associated with IGHV mutation status [chi(2)(1) = 15.3; P <0.0001] and showed an 89.3% specificity, a 68.2% sensitivity, an 83.3% positive predictive value, and a 78.1% negative predictive value for IGHV mutation status. LPL expression was significantly associated with both OS and TFS in log-rank tests (both P values = 0.002). LPL-positive patients had a significantly shorter median TFS time (23 months) than LPL-negative patients (88 months) (P = 0.002). CONCLUSIONS: LPL mRNA expression is a valuable prognostic marker in CLL. The method does not require cell purification, and its applicability with archived samples facilitates its use in the clinical routine and other studies.

Adult↗

Molecular detection of minimal residual disease is a strong predictive factor of relapse in childhood B-lineage acute lymphoblastic leukemia with medium risk features. A case control study of the International BFM study group.

The medium-risk B cell precursor acute lymphoblastic leukemia (ALL) accounts for 50-60% of total childhood ALL and comprises the largest number of relapses still unpredictable with diagnostic criteria. To evaluate the prognostic impact of minimal residual disease (MRD) in this specific group, a case control study was performed in patients classified and treated as medium (or intermediate)-risk according to the criteria of national studies (ALL-BFM 90, DCLSG protocol ALL-8, AIEOP-ALL 91), which includes a good day 7 treatment response. Standardized polymerase chain reaction (PCR) analysis of patient-specific immunoglobulin and T cell receptor gene (TCR) rearrangements were used as targets for semi-quantitative estimation of MRD levels: > or =10(-2), 10(-3), < or =10(-4). Twenty-nine relapsing ALL patients were matched with the same number of controls by using white blood cell count (WBC), age, sex, and time in first complete remission, as matching factors. MRD was evaluated at time-point 1 (end of protocol Ia of induction treatment, ie 6 weeks from diagnosis) and time-point 2 (before consolidation treatment, ie 3 months from diagnosis). MRD-based high risk patients (> or =10(-3) at both time-points) were more frequently present in the relapsed cases than in controls (14 vs 2), while MRD-based low risk patients (MRD negative at both time-points) (1 vs 18) showed the opposite distribution. MRD-based high risk cases experienced a significantly higher relapse rate than all other patients, according to the estimated seven-fold increase in the odds of failure, and a much higher rate than MRD-based low risk patients (OR = 35.7; P= 0.003). Using the Cox model, the prediction of the relapse-free interval at 4 years was 44.7%, 76.4% and 97.7% according to the different MRD categories. MRD-based risk group classification demonstrate their clinical relevance within the medium-risk B cell precursor ALL which account for the largest number of unpredictable relapses, despite the current knowledge about clinical and biological characteristics at diagnosis. Therefore, MRD detection during the first 3 months of follow-up can provide the tools to target more intensive therapy to those patients at true risk of relapse.

Antineoplastic Combined Chemotherapy Protocols↗

The role of polymorphic amino acids of the MHC molecule in the selection of the T cell repertoire.

Allelic variants of MHC molecules expressed on cells of the thymus affect the selection and the specificity of the T cell repertoire. The selection is based on either the direct recognition by the TCR of the MHC molecules, or the recognition of a complex determinant formed by self-peptides bound to MHC molecules. In an analysis of the T cell repertoire in bone marrow chimeras that express allelic forms of MHC class II molecules in the thymus epithelium, we find that amino acid substitutions that are predicted to affect peptide binding influence the selection of the T cell repertoire during thymic selection.

Amino Acids↗

Expression characteristics and stimulatory functions of CD43 in human CD4+ memory T cells: analysis using a monoclonal antibody to CD43 that has a novel lineage specificity.

We have used HSCA-2, an mAb that recognizes a sialic acid-dependent epitope on the low molecular mass (approximately 115-kDa) glycoform of CD43 that is expressed in resting T and NK cells, to examine the expression characteristics and stimulatory functions of CD43 in human CD4+ memory T cells. Having previously reported that the memory cells that respond to recall Ags in a CD4+ CD45RO+ T cell population almost all belong to a subset whose surface CD43 expression levels are elevated, we now find that exposing these same memory T cells to HSCA-2 mAb markedly increases their proliferative responsiveness to recall Ags. We think it unlikely that this increase in responsiveness is a result of CD43-mediated monocyte activation, especially given that the HSCA-2 mAb differs from all previously used CD43 mAbs in having no obvious binding specificity for monocyte CD43. Predictably, treatment with HSCA-2 mAb did not lead to significant recall responses in CD4+ CD45RO+ T cells, whose CD43 expression levels were similar to or lower than those of naive cells. Other experiments indicated that the HSCA-2 mAb was capable of enhancing the proliferative responsiveness of CD4+ memory T cells that had been exposed to polyclonal stimulation by monocyte-bound CD3 mAb and could also act in synergy with CD28 mAb to enhance the responsiveness of CD4+ T cells to CD3 stimulation. Taken together, these findings suggest that the CD43 molecules expressed on CD4+ memory T cells may be capable of enhancing the costimulatory signaling and hence providing accessory functions to TCR-mediated activation processes.

Antibodies, Monoclonal↗

A causal link between lymphopenia and autoimmunity.

It is well recognized that the composition of the mature T cell population is subject to strict homeostatic control. The TCR repertoire and relative proportions of various T cell subsets are established in the thymus, and continue to be shaped and regulated in the periphery. As the thymic function declines, peripheral homeostatic mechanisms assume increasing importance. Indeed, loss of thymic function does not lead to progressive decline of T cell numbers because peripheral mechanisms ensure that the size of the T cell population is maintained due to proliferation of residual cells. However, our current understanding of the basic mechanisms of 'homeostatic' or lymphopenia-induced proliferation suggests that this drive to maintain population size may be accompanied by loss of TCR diversity and emergence of auto-reactive effector T cells. This prediction is supported by experimental and clinical evidence. This consideration is important because lymphopenia is seen commonly in clinical practice as a consequence of viral infections, or medical treatment of cancer, autoimmunity, and graft rejection. Lymphopenia may be a simple link between viral infections and autoimmunity, and may be one reason for common failure of very potent, but non-specific, immunosuppressive drugs in current clinical use.

Animals↗

A simple mathematical model for the functional peptide/MHC/TCR interactions.

T cell-specific activation requires ligation of TCRs with peptide-MHC complexes on the APC. On the basis of simple chemical and statistical laws, we have constructed a mathematical model to describe this trimolecular interaction between effector and target cells, and we demonstrate its predictive value in the case of in vitro peptide Ag titration. Moreover, this model can generate mechanistic explanations for cellular immunity phenomena like anergy, peripheral tolerance, cell-mediated suppression, TCR antagonism, and thymic selection events.

Amino Acid Sequence↗

Fine specificity of TCR complementarity-determining region residues and lipid antigen hydrophilic moieties in the recognition of a CD1-lipid complex.

alphabeta TCR can recognize peptides presented by MHC molecules or lipids and glycolipids presented by CD1 proteins. Whereas the structural basis for peptide/MHC recognition is now clearly understood, it is not known how the TCR can interact with such disparate molecules as lipids. Recently, we demonstrated that the alphabeta TCR confers specificity for both the lipid Ag and CD1 isoform restriction, indicating that the TCR is likely to recognize a lipid/CD1 complex. We hypothesized that lipids may bind to CD1 via their hydrophobic alkyl and acyl chains, exposing the hydrophilic sugar, phosphate, and other polar functions for interaction with the TCR complementarity-determining regions (CDRs). To test this model, we mutated the residues in the CDR3 region of the DN1 TCR beta-chain that were predicted to project between the CD1b alpha helices in a model of the TCR/CD1 complex. In addition, we tested the requirement for the negatively charged and polar functions of mycolic acid for Ag recognition. Our findings indicate that the CDR loops of the TCR form the Ag recognition domain of CD1-restricted TCRs and suggest that the hydrophilic domains of a lipid Ag can form a combinatorial epitope recognized by the TCR.

Amino Acid Sequence↗

The contribution of mutant amino acids to alloantigenicity.

The I-Abm12 mutation has been used extensively to study the relationship between structure and function of murine class II major histocompatibility molecules. I-Abm12 differs from I-Ab by three amino acid replacements in the A beta chain, and the proposed structural model of the I-Abm12 molecule places these three amino acid substitutions along one of the alpha-helices where they may affect both antigen and TCR binding. Two of the substitutions, Ile----Phe67 and Thr----Lys71, are thought to point into the binding site, whereas the third substitution, Arg----Gln70, is thought to point up and hence, be available for binding to the TCR. These predicted orientations are consistent with serologic analysis of the bm12 molecule, which demonstrates that residue 70 is uniquely accessible to mAbs distinguishing I-Ab from I-Abm12. In this study we have determined the influence of each of these amino acid substitutions on the ability of the resulting molecules to stimulate a panel of I-Abm12 (allo) reactive T cell hybridomas. Our experiments indicate that reversion of the amino acid at position 70 from Gln (I-Abm12) to Arg (I-Ab) interferes with allorecognition by 33 of 35 I-Abm12-reactive hybridomas. On the other hand, many hybrids can tolerate amino acid substitutions at positions 67 or 71. Single amino acid substitutions at position 67, 70, or 71 are recognized by only a minority of I-Abm12-specific hybrids and usually the reactivity is greatly diminished. These data are most consistent with the idea that the amino acid at position 70 directly interacts with the TCR during allorecognition. The additional effects of residues 67 and 71 are consistent with a contribution by bound peptide to the allorecognition process.

Amino Acids↗

Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models.

Three parametric statistical models have been fully validated for cancer of the larynx for the prediction of long-term 15, 20 and 25 year cancer-specific survival fractions when short-term follow-up data was available for just 1-2 years after the end of treatment of the last patient. In all groups of cases the treatment period was only 5 years. Three disease stage groups were studied, T1N0, T2N0 and T3N0. The models are the Standard Lognormal (SLN) first proposed by Boag (1949 J. R. Stat. Soc. Series B 11 15-53) but only ever fully validated for cancer of the cervix, Mould and Boag (1975 Br. J. Cancer 32 529-50), and two new models which have been termed Tobacco Cancer Risk (TCR) and Absolute Cancer Cure (ACC). In each, the frequency distribution of survival times of defined groups of cancer deaths is lognormally distributed: larynx only (SLN), larynx and lung (TCR) and all cancers (ACC). All models each have three unknown parameters but it was possible to estimate a value for the lognormal parameter S a priori. By reduction to two unknown parameters the model stability has been improved. The material used to validate the methodology consisted of case histories of 965 patients, all treated during the period 1944-1968 by Dr Manuel Lederman of the Royal Marsden Hospital, London, with follow-up to 1988. This provided a follow-up range of 20-44 years and enabled predicted long-term survival fractions to be compared with the actual survival fractions, calculated by the Kaplan and Meier (1958 J. Am. Stat. Assoc. 53 457-82) method. The TCR and ACC models are better than the SLN model and for a maximum short-term follow-up of 6 years, the 20 and 25 year survival fractions could be predicted. Therefore the numbers of follow-up years saved are respectively 14 years and 19 years. Clinical trial results using the TCR and ACC models can thus be analysed much earlier than currently possible. Absolute cure from cancer was also studied, using not only the prediction models which incorporate a parameter for a statistically cured fraction of patients C(SLN), C(TCR) and C(ACC), but because of the long follow-up range of 20-44 years, also by complete life analysis. The survival experience of those who did not die of their original cancer of the larynx was compared to the expected survival experience of a population with the same age, birth cohort and sex structure. To date it has been generally assumed for early stage disease that although for some 5-10 years after treatment the survival experience of this patient subgroup might be no different from that expected in the matched group, thereafter the death rate of this subgroup becomes lower than that of the matched group. This implies that surviving cancer patients cured of their disease tend to die of other conditions at a higher than normal rate as they become older, and therefore cancer is never totally cured. Our conclusion is that at least for cancer of the glottic larynx, the answer to the question: 'Can cancer totally be cured?' is 'Yes to at least 15-years post-treatment and also probably to 25 years.'

Disease-Free Survival↗

Resistance to polyoma virus-induced tumors correlates with CTL recognition of an immunodominant H-2Dk-restricted epitope in the middle T protein.

The natural mouse pathogen polyoma virus is highly oncogenic in H-2k mice carrying the endogenous superantigen encoded by the mouse mammary tumor provirus Mtv-7. This superantigen results in deletion of Vbeta6 TCR-expressing polyoma-specific CD8+ CTL, which appear to be critical effectors against polyoma tumorigenesis. Here we have isolated cloned lines of CD8+ T cells from resistant (i.e., Mtv-7-) H-2k mice that specifically lyse syngeneic polyoma virus-infected cells and polyoma tumor cells. Nearly all these CTL clones express Vbeta6 and are restricted in their recognition of virus-infected cells by H-2Dk. Screening a panel of synthetic peptides predicted to bind to Dk, for which no consensus peptide binding motif is known, we identified a peptide corresponding to a nine-amino acid sequence in the carboxyl-terminus of the middle T (MT) protein (amino acids 389-397) that was recognized by all the Vbeta6+ CD8+ CTL clones. The inability of MT(389-397)-reactive CTL to recognize cells infected with a mutant polyoma virus encoding a MT truncated just proximal to this sequence indicates that MT(389-397) is a naturally processed peptide. The frequencies of precursor CTL specific for polyoma virus and MT(389-397) peptide were similar, indicating that MT(389-397) is the immunodominant epitope in H-2k mice. In addition, polyoma-infected resistant mice possess a 10- to 20-fold higher MT(389-397)-specific precursor CTL frequency than susceptible mice. This highly focused CTL response to polyoma virus provides a valuable animal model to investigate the in vivo activity of CTL against virus-induced neoplasia.

Animals↗

Characterization of Tumor Antigens from Multi-omics Data: Computational Approaches and Resources.

Tumor-specific antigens, also known as neoantigens, have potential utility in anti-cancer immunotherapy, including immune checkpoint blockade (ICB), neoantigen-specific T cell receptor-engineered T (TCR-T), chimeric antigen receptor T (CAR-T), and therapeutic cancer vaccines (TCVs). After recognizing presented neoantigens, the immune system becomes activated and triggers the death of tumor cells. Neoantigens may be derived from multiple origins, including somatic mutations (single nucleotide variants, insertions/deletions, and gene fusions), circular RNAs, alternative splicing, RNA editing, and polymorphic microbiomes. An increasing amount of bioinformatics tools and algorithms are being developed to predict tumor neoantigens derived from different sources, which may require inputs from different multi-omics data. In addition, calculating the peptide-major histocompatibility complex (MHC) affinity can aid in selecting putative neoantigens, as high binding affinities facilitate antigen presentation. Based on these approaches and previous experiments, many resources have been developed to reveal the landscape of tumor neoantigens across multiple cancer types. Herein, we summarize these tools, algorithms, and resources to provide an overview of computational analysis for neoantigen discovery and prioritization, as well as the future development of potential clinical utilities in this field.

Humans↗

The law of mass action governs antigen-stimulated cytolytic activity of CD8+ cytotoxic T lymphocytes.

An analysis of the initial antigen-recognition step in the destruction of target cells by CD8+ cytolytic T lymphocytes (CTLs) shows that a relationship in the form of the law of mass action can be used to describe interactions between antigen-specific receptors on T cells (TCRs) and their natural ligands on target cells (peptide-major histocompatibility protein complexes, termed pepMHC complexes), even though these reactants are confined to their respective cell membranes. For a designated level of lysis and receptor affinities below about 5 X 10(6) M-1, the product of the required number of pepMHC complexes per target cell ("epitope density") and TCR affinity for pepMHC complexes is constant; therefore, over this range TCR affinities can be predicted from epitope densities (or vice versa). At higher receptor affinities ("affinity ceiling") the epitope density required for half-maximal lysis reaches a lower limit of less than 10 complexes per target cell.

Amino Acid Sequence↗

Diagnosis and assessment of preclinical and clinical autoimmune encephalomyelitis using peripheral blood lymphocyte TCR.

In organ-specific autoimmune diseases, T cells involved in the disease development bear a particular type of TCR and infiltrate the target organ predominantly. However, it is difficult to identify disease-inducing T cells in peripheral blood lymphocytes (PBL) because such T cells are very few in number in a large pool of unrelated T cells. In the present study, we demonstrate that CDR3 spectratyping can identify experimental autoimmune encephalomyelitis (EAE)-specific patterns (oligoclonal expansion of Vbeta8.2 with the shortest CDR3) in PBL at the preclinical and clinical stages of acute EAE. Analysis of nucleotide and predicted amino acid sequences of Vbeta8.2 CDR3 of spectratype-derived clones revealed that CASSDSSYEQYFGPG, which is one of the representative sequences of encephalitogenic T cell clones, constituted the predominant population in both PBL and spinal cord T cells. In chronic relapsing EAE, the EAE-specific spectratype pattern in PBL was observed during the 1 st and 2nd attacks, but not at the remission and full recovery stage. These findings indicate that the spectratyping pattern in PBL reflects the disease activity of acute and chronic relapsing EAE. Thus, CDR3 spectratyping using PBL can be used for diagnosis and assessment of T cell-mediated autoimmune diseases and is applicable to human autoimmune diseases.

Animals↗