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Pancreatic cancer (PC) has been the fourth cancer‐related death worldwide, diagnosed at an unresectable stage due to its rapid progression and few symptoms of this disease at early stages. The aim of this study was to determine the association between the diversity of T‐cell receptor (TCR) repertoire and clinicopathological characteristics of patients with PC and other benign pancreatic diseases. In order to make a comprehensive analysis the TCR repertoire, high‐throughput sequencing was used to differentiate complementarity determining region 3 (CDR3) of the TCR β chain in peripheral blood samples from 3 PC, 3 chronic pancreatitis, 3 pancreatic cystic lesions and 3 pancreatic neuroendocrine tumour patients. We found that there were significant differences related to TCR repertoire between PC and other pancreatic diseases, and PC is a relatively immunosuppressive tumour. Changes of peripheral TCR repertoire may be used to predict the progression of PC and the response to immunotherapy. And there may exist novel‐specific antigens in PC patients which could be used to design targeting immunotherapy in the nearly future.

We present the case of a patient with multiple tyrosine kinase inhibitor (TKI)-refractory chronic phase chronic myeloid leukemia (CP-CML) with a T315I mutation of abl1. Dasatinib, a second-generation TKI, was administered as the initial treatment but achieved neither a cytogenetic nor molecular response. A mutational analysis of abl1 revealed that the patient had a T315I mutation. The patient was then administered ponatinib, a third-generation TKI, which is thought to be effective against T315I; however, the complete blood counts became within normal limits, and neither a cytogenetic nor molecular response was achieved. However, the patient has maintained a healthy chronic phase (with no blast crises) for more than 5½ years since the diagnosis of CP-CML. T-cell receptor (TCR) repertoire analyses using peripheral blood revealed a remarkable clonal expansion of effector cytotoxic T lymphocytes (CTLs) that contained TCR V beta 13.6. We observed the clonal expansion of naïve CTLs with TCR V beta 13.6; however, no clonality was observed in the memory CTLs. The naïve and effector CTLs persisted at very high percentages since the seventh month after starting dasatinib. The CTLs could not have led to the molecular response; therefore, there might be plenty of CML stem cells remaining in the bone marrow. Therefore, although the CTLs might have prevented the disease from developing blast crises over more than 5 years, the CTLs might not have been able to become memory CTLs.

The adaptive immune system arose 600 million years ago in a cold-blooded fish. Over countless generations, our antecedents tuned the function of the T-cell receptor (TCR). The TCR system is arguably the most complex known to science. The TCR evolved hypervariability to fight the hypervariability of pathogens and cancers that look to consume our resources. This review describes the genetics and architecture of the human TCR and highlights surprising new discoveries over the past years that have disproved very old dogmas. The standardization of TCR sequencing data is discussed in preparation for big data bioinformatics and predictive analysis. We next catalogue new signatures and phenomenon discovered by TCR next generation sequencing (NGS) in health and disease and work that remain to be done in this space. Finally, we discuss how TCR NGS can add to immunodiagnostics and integrate with other omics platforms for both a deeper understanding of TCR biology and its use in the clinical setting.

Intercellular communication in the decidua plays important roles in relaying information between the maternal and fetal systems in the maintenance of pregnancy and the transition to labor. To date, several studies have explored cell-cell communications in the decidua during different periods of pregnancy, but studies systematically decoding the intercellular communication network, its internal cascades, and their involvement in labor are still lacking. In this study, we reconstructed a decidual cell-cell communication network based on scRNA-seq of peripartum decidua via the CellCall method. The results showed that endometrial cells (EECs) and extravillous trophoblasts relayed most of the common intercellular signals in the decidua both before delivery (DBD) and after delivery (DAD). Endothelial cells and EECs controlled many WNT-signaling-related intercellular communication factors that differed between DBD and DAD, some of which could be candidate biomarkers for the diagnosis of labor. Analysis of intercellular communications related to T cells identified abundant maternal-fetal immune-tolerance-related communication, such as TNFSF14-TNFRSF14/LTBR and FASLG-FAS signalings. We further explored the characteristics of the B cell receptor (BCR) and T cell receptor (TCR) repertoires by single-cell BCR/TCR sequencing. The results showed no significant differences in clonal expansion of B/T cells between DAD and DBD, indicating there was no significant change to adaptive immunity at the maternal-fetal interface during delivery. In summary, the findings provide a comprehensive view of the intercellular communication landscape in the peripartum decidua and identified some key intercellular communications involved in labor and maternal-fetal immune tolerance. We believe that our study provides valuable clues for understanding the mechanisms of pregnancy and provides possible diagnostic strategies for the onset of labor.

In this review, we described the structure and organization of antigen-recognizing repertoires of B and T cells from the standpoint of modern immunology. We summarized the latest advances in bioinformatics analysis of sequencing data from T and B cell repertoires and also presented contemporary ideas about the mechanisms of clonal diversity formation at different stages of organism development. At the same time, we focused on the importance of the allelic variants of the HLA genes and spectra of presented antigens for the formation of T-cell receptors (TCR) landscapes. The main idea of this review is that immune equilibrium and proper functioning of immunity are highly dependent on the interaction between the recognition and the presentation landscapes of antigens. Certain changes in these landscapes can occur during life, which can affect the protective function of adaptive immunity. We described some mechanisms associated with these changes, for example, the conversion of effector cells into regulatory cells and vice versa due to the trans-differentiation or bystander effect, changes in the clonal organization of the general TCR repertoire due to homeostatic proliferation or aging, and the background for the altered presentation of some antigens due to SNP mutations of MHC, or the alteration of the presenting antigens due to post-translational modifications. The authors suggest that such alterations can lead to an increase in the risk of the development of oncological and autoimmune diseases and influence the sensitivity of the organism to different infectious agents.

Supplemental Digital Content is available in the text., Background. T lymphocyte–mediated acute rejection is a significant complication following solid organ transplantation. Standard methods of monitoring for acute rejection rely on assessing histological tissue damage but do not define the immunopathogenesis. Additionally, current therapies for rejection broadly blunt cellular immunity, creating a high risk for opportunistic infections. There is, therefore, a need to better understand the process of acute cellular rejection to help develop improved prognostic tests and narrowly targeted therapies. Methods. Through next-generation sequencing, we characterized and compared the clonal T-cell receptor (TCR) repertoires of graft-infiltrating lymphocytes (GILs) and blood-derived lymphocytes from a hand transplant recipient over 420 days following transplantation. We also tracked the TCR clonal persistence and V beta (BV) gene usage, evaluating overlap between these 2 compartments. Results. TCR repertoires of blood and GIL populations remained distinct throughout the sampling period, and differential BV usage was consistently seen between these compartments. GIL TCR clones persisted over time and were seen in only limited frequency in the blood T-lymphocyte populations. Conclusions. We demonstrate that blood monitoring of TCR clones does not reveal the pathogenic process of acute cellular rejection in transplanted tissue. GILs show clonal persistence with biased BV usage, suggesting that tissue TCR clonal monitoring could be useful, although a deeper understanding is necessary to prognosticate rejection based on TCR clonal repertoires. Finally, the distinct TCR BV usage bias in GILs raises the possibility for prevention and therapy of acute cellular rejection based on targeting of specific TCR clones.

The full set of T cell receptors (TCRs) in an individual is known as his or her TCR repertoire. Defining TCR repertoires under physiological conditions and in response to a disease or vaccine may lead to a better understanding of adaptive immunity and thus has great biological and clinical value. In the past decade, several high-throughput sequencing-based tools have been developed to assign TCRs to germline genes and to extract complementarity-determining region 3 (CDR3) sequences using different algorithms. Although these tools claim to be able to perform the full range of fundamental TCR repertoire analyses, there is no clear consensus of which tool is best suited to particular projects. Here, we present a systematic analysis of 12 available TCR repertoire analysis tools using simulated data, with an emphasis on fundamental analysis functions. Our results shed light on the detailed functions of TCR repertoire analysis tools and may therefore help researchers in the field to choose the right tools for their particular experimental design.

Lung cancer is the leading cause of cancer-related deaths worldwide, and its occurrence is related to the accumulation of gene mutations and immune escape of the tumor. Sequencing of the T-cell receptor (TCR) repertoire can reveal the immunosurveillance status of the tumor microenvironment, which is related to tumor escape and immunotherapy. This study aimed to determine the characteristics and clinical significance of the TCR repertoire in lung cancer. To comprehensively profile the TCR repertoire, results from high-throughput sequencing of samples from 93 Chinese patients with lung cancer were analyzed. We found that the TCR clonality of tissues was related to smoking, with higher clonality in patients who had quit smoking for less than 1 year. As expected, TCR clonality was correlated with stages: patients with stage IV disease showed higher clonality than others. The correlation between TCR repertoire and epidermal growth factor receptor (EGFR) status was also investigated. Patients with EGFR non-L858R mutations showed higher clonality and a lower Shannon index than other groups, including patients with EGFR L858R mutation and wild-type EGFR. Furthermore, we analyzed the TCR similarity metrics—that is, the TCR shared between postoperative peripheral blood and tissue of patients with non-distant metastasis of lung cancer. A similar trend was found, in which patients with EGFR L858R mutations had lower overlap index (OLI) and Morisita index (MOI) scores. Moreover, the OLI showed a positive correlation with several clinical characteristics, including the tumor mutational burden of tissues and the maximum somatic allele frequency of blood; OLI showed a negative correlation with the ratio of CD4+CD28+ in CD4+ cells and the ratio of CD8+CD28+ in CD8+ cells. In conclusion, TCR clonality and TCR similarity metrics correlated with clinical characteristics of patients with lung cancer. Differences in TCR clonality, Shannon index, and OLI across EGFR subtypes provide information to improve understanding about varied responses to immunotherapy in patients with different EGFR mutations.

It is increasingly clear that an extraordinarily diverse range of clinically important conditions—including infections, vaccinations, autoimmune diseases, transplants, transfusion reactions, aging, and cancers—leave telltale signatures in the millions of V(D)J-rearranged antibody and T cell receptor [TR per the Human Genome Organization (HUGO) nomenclature but more commonly known as TCR] genes collectively expressed by a person’s B cells (antibodies) and T cells. We refer to these as the immunome. Because of its diversity and complexity, the immunome provides singular opportunities for advancing personalized medicine by serving as the substrate for a highly multiplexed, near-universal blood test. Here we discuss some of these opportunities, the current state of immunome-based diagnostics, and highlight some of the challenges involved. We conclude with a call to clinicians, researchers, and others to join efforts with the Adaptive Immune Receptor Repertoire Community (AIRR-C) to realize the diagnostic potential of the immunome.

Immune checkpoint inhibitors (ICIs) offer significant clinical benefits to a subset of cancer patients via the induction of a systemic T cell-mediated anti-cancer immune response. Thus, the dynamic characterization of T cell repertoires in the peripheral blood has the potential to demonstrate noninvasive predictive biomarkers for the clinical efficacy of ICIs. In this study, we collected tumor tissues and peripheral blood samples from 25 patients with advanced kidney cancer before anti-programmed cell death protein 1 (PD-1) treatment and 1, 3, and 6 months after treatment initiation. Furthermore, we applied a next-generation sequencing approach to characterize T cell receptor (TCR) alpha and beta repertoires. TCR repertoire analysis revealed that the responders to anti-PD-1 showed an expansion of certain T cell clones even in the blood, as evidenced by the significant decrease in the TCR diversity index and increase in the number of expanded TCR clonotypes 1 month after treatment. Interestingly, these expanded TCR clonotypes in the peripheral blood were significantly shared with tumor-infiltrating T cells in responders, indicating that they have many circulating T cells that may recognize cancer antigens. Expression analysis also revealed that 1 month after treatment, T cells from the peripheral blood of responders showed significantly elevated transcriptional levels of Granzyme B, Perforin, CD39, and PD-1, markers of cancer-associated antigen-specific T cells. Altogether, we propose that global TCR repertoire analysis may allow identifying early surrogate biomarkers in the peripheral blood for predicting clinical responses to anti-PD-1 monotherapy.

An indicator for systemic evaluation of the adaptive immune status is lacking. Peripheral blood is important in antitumour immunity, and the T-cell receptor (TCR) repertoire diversity is key for effective immunity. This study aimed to investigate changes in the circulating T cell receptor β chain (TCRB) diversity during the first few (1 ~ 4) treatment cycles and its clinical value in patients with advanced lung cancer. TCRB-enriched sequencing data combined with transcriptomic RNA sequencing data of peripheral blood leukocytes were obtained from 72 patients with advanced lung cancer before and after targeted therapy or chemotherapy. Changes in the circulating TCRB diversity during treatment and the relationship of the baseline circulating TCRB diversity with prognosis and therapeutic effects were evaluated. We found that targeted therapy or chemotherapy did not significantly affect the T lymphocyte composition or circulating TCRB diversity (3.83 vs 3.74, T-test, p = .16) in patients with advanced lung adenocarcinoma (LUAD) during the first few treatment cycles. The higher circulating TCRB diversity was linked to improved therapeutic effects (T-test, p = .00083) in LUAD patients receiving targeted therapy. Higher baseline circulating TCRB diversity was associated with better prognosis. In addition, a five-factor prognostic risk score model was built for more accurate prognosis prediction for LUAD patients. The chemotherapeutic agents for advanced lung cancer do not significantly affect adaptive immune function over the first few treatment cycles. The circulating TCRB diversity reflects the adaptive immunological repertoire and might be a convenient indicator for evaluating the adaptive immune status and prognosis.

The emergence of next-generation sequencing (NGS)-generated T cell receptor repertoire data has allowed an in-depth look at the diversity of receptor sequences with a previously unobtainable resolution. These and other data have demonstrated a surprisingly high degree of shared or “public” TCRs at paired and single chain levels found in multiple individuals. Given the vast potential diversity of the naive repertoire, this apparently high level of degeneracy suggests one or more non-random mechanisms shaping receptor recombination and selection. One prominent hypothesis to address this phenomenon is convergent recombination, with public receptors being easier to generate through multiple recombination mechanisms. Associations between public and private responses and multiple T cell parameters, including immune efficacy, pathogenicity, and magnitude, have been explored in many experimental systems. Here, we review the case for functional associations with public and private repertoires, their mechanisms of generation, and the implications for future studies of the T cell repertoire. The utility of this distinction in research and diagnostic settings is also discussed.

In coeliac disease (CeD), immune‐mediated small intestinal damage is precipitated by gluten, leading to variable symptoms and complications, occasionally including aggressive T‐cell lymphoma. Diagnosis, based primarily on histopathological examination of duodenal biopsies, is confounded by poor concordance between pathologists and minimal histological abnormality if insufficient gluten is consumed. CeD pathogenesis involves both CD4+ T‐cell‐mediated gluten recognition and CD8+ and γδ T‐cell‐mediated inflammation, with a previous study demonstrating a permanent change in γδ T‐cell populations in CeD. We leveraged this understanding and explored the diagnostic utility of bulk T‐cell receptor (TCR) sequencing in assessing duodenal biopsies in CeD. Genomic DNA extracted from duodenal biopsies underwent sequencing for TCR‐δ (TRD) (CeD, n = 11; non‐CeD, n = 11) and TCR‐γ (TRG) (CeD, n = 33; non‐CeD, n = 21). We developed a novel machine learning‐based analysis of the TCR repertoire, clustering samples by diagnosis. Leave‐one‐out cross‐validation (LOOCV) was performed to validate the classification algorithm. Using TRD repertoire, 100% (22/22) of duodenal biopsies were correctly classified, with a LOOCV accuracy of 91%. Using TCR‐γ (TRG) repertoire, 94.4% (51/54) of duodenal biopsies were correctly classified, with LOOCV of 87%. Duodenal biopsy TRG repertoire analysis permitted accurate classification of biopsies from patients with CeD following a strict gluten‐free diet for at least 6 months, who would be misclassified by current tests. This result reflects permanent changes to the duodenal γδ TCR repertoire in CeD, even in the absence of gluten consumption. Our method could complement or replace histopathological diagnosis in CeD and might have particular clinical utility in the diagnostic testing of patients unable to tolerate dietary gluten, and for assessing duodenal biopsies with equivocal features. This approach is generalisable to any TCR/BCR locus and any sequencing platform, with potential to predict diagnosis or prognosis in conditions mediated or modulated by the adaptive immune response. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.

The status of T cell receptors (TCRs) repertoire is associated with the occurrence and progress of various diseases and can be used in monitoring the immune responses, predicting the prognosis of disease and other medical fields. High-throughput sequencing promotes the studying in TCR repertoire. The chapter focuses on the whole process of TCR profiling, including DNA extraction, library construction, high-throughput sequencing, and how to analyze data.

Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults with a dismal prognosis. We previously reported that vaccination with heat shock protein peptide complex-96 (HSPPC-96) improves survival in patients with newly diagnosed GBM (NCT02122822). Especially for patients with a strong antitumor immune response after vaccination, a durable survival benefit can be achieved. Here, we conducted T cell receptor (TCR) sequencing to retrospectively examine the TCR repertoires of tumor-infiltrating lymphocytes in long-term survivors (LTS) and short-term survivors (STS). We found that LTS exhibit lower TCR repertoire diversity compared with STS, indicating the prevalence of dominant TCR clones in LTS tumors. Accordingly, the LTS group showed increased inter-patient similarity, especially among high-frequency TCR clones, implying some of these dominant clones are shared among LTS. Indeed, we discovered four TCR clones significantly enriched in the LTS group: the presence of these clones has predictive value for stratifying patients prior to vaccination. Together, these findings uncover a group of preexisting TCR clones shared in LTS that can be utilized as candidate biomarkers to select GBM patients most likely to durably respond to HSPPC-96 treatment.

Vaccination against influenza is widely used to protect against seasonal flu epidemic although its effectiveness is debated. Here we performed deep quantitative T cell receptor repertoire profiling in peripheral blood of a healthy volunteer in response to trivalent subunit influenza vaccine. We did not observe significant rebuilding of peripheral blood T cell receptors composition in response to vaccination. However, we found several clonotypes in memory T cell fraction that were undetectable before the vaccination and had a maximum concentration at day 45 after vaccine administration. These cells were found in lower concentration in the course of repertoire monitoring for two years period. Our observation suggests a potential for recruitment of only a limited number of new T cells after each seasonal influenza vaccination.

Stem cell-like memory T cells (Tscm) combine phenotypes of naïve and memory. However, it remains unclear how T cell receptor (TCR) characteristics contribute to heterogeneity in Tscm and other memory T cells. We compared the TCR-beta (TRB) repertoire characteristics of CD4+ Tscm with those of naïve and other CD4+ memory (Tm) in 16 human subjects. Compared with Tm, Tscm had an increased diversity across all stretches of TRB repertoire structure, a skewed gene usage, and a shorter length distribution of CDR3 region. These distinctions between Tscm and Tm were enlarged in top1000 abundant clonotypes. Furthermore, top1000 clonotypes in Tscm were more public than those in Tm and grouped in more clusters, implying more epitope types recognized by top1000 clonotypes in Tscm. Importantly, self-reactive clonotypes were public and enriched in Tscm rather than Tm, of type one diabetes patients. Therefore, this study highlights the unique features of Tscm different from those of other memory subsets and provides clues to understand the physiological and pathological functions of Tscm.

The diversity of immunoglobulin (Ig) and T-cell receptor (TCR) repertoires is a focal point of immunological studies. Rhesus macaques are key for modeling human immune responses, placing critical importance on the accurate annotation and quantification of their Ig and TCR repertoires. However, due to incomplete reference resources, the coverage and accuracy of the traditional targeted amplification strategies for profiling rhesus Ig and TCR repertoires are largely unknown. Here, using long read sequencing, we sequenced four Indian-origin rhesus macaque tissues and obtained high quality, full-length sequences for over 6,000 unique Ig and TCR transcripts, without the need for sequence assembly. We constructed the first complete reference set for the constant regions of all known isotypes and chain types of rhesus Ig and TCR repertoires. We show that sequence diversity exists across the entire variable regions of rhesus Ig and TCR transcripts. Consequently, existing strategies using targeted amplification of rearranged variable regions comprised of V(D)J gene segments miss a significant fraction (27% to 53% and 42% to 49%) of rhesus Ig/TCR diversity. To overcome these limitations, we designed new rhesus-specific assays that remove the need for primers conventionally targeting variable regions and allow single cell-level Ig and TCR repertoire analysis. Our improved approach will enable future studies to fully capture rhesus Ig and TCR repertoire diversity and is applicable for improving annotations in any model organism.

T cells play a crucial role in the immune system's defense against many infectious diseases, including persistent infections for which no effective vaccines currently exist. The T cell component of the adaptive immune system is highly complex involving a constantly evolving landscape of various inter-related T cell populations. These T cell populations are characterized by their phenotypic and functional properties as well as the collection, or repertoire, of T cell receptors (TCR) that mediate T cell recognition of antigenic peptides derived from pathogens. Understanding the various processes and factors that impact the development and evolution of the broader T cell repertoire available to recognize and respond to pathogens and the characteristics of antigen-experienced T cell repertoires associated with effective immune control of pathogens is critical to the rational design of T cell-based vaccines and therapies. In this article we discuss, using examples of recent research, the promise that systems immunology approaches, involving quantitative analysis and mathematical and computational modeling of immunological data, hold for decoding the complex TCR repertoire system in the current era of advancing technologies.

Single-cell sequencing of TCR alleles enables determination of T cell specificity. Here we describe a sensitive protocol for targeted amplification of TCR CDR3 regions from single-cell full-length cDNA libraries. By exploiting the specificity of RNase H-dependent PCR (rhPCR), the protocol achieves amplification of TCR alleles and addition of cell barcodes in a single PCR step.

Background: Deep sequencing of the T-cell receptor complementarity-determining regions assists with resolving T-cell diversity, and, in oncology, detects specific clones or changes in clonality associated with anti-tumor responses. However, the extreme diversity of the T-cell repertoire represents a major analytical challenge, while a gold standard method for the repertoire analysis has not yet been identified. Here, we evaluated performance of the Oncomine TCR Beta squencing assay in PBMC and formalin-fixed paraffin-embedded (FFPE) tissues, and compared it to another commercially available TCR sequencing assay. Method: RNA derived from PBMCs or tumor FFPE tissue were prepared using the Oncomine TCR Beta-SR (short read) and LR (long read) assays, and a comparator assay. Library preparation using the TCR Beta SR and LR assays required cDNA synthesis followed by TCR gene specific amplification, sample barcoding, and sequencing on the Ion Torrent S5. Comparator assay entailed gene specific cDNA synthesis, preparation of sequencing libraries, TCR gene specific amplification, sample barcoding and 2 × 150 bp sequencing on Illumina's NextSeq. Libraries generated from RNA derived from PBMCs and FFPE were sequenced to a depth of 25M and 10M reads, respectively, for the TCR Beta-SR and a comparator assay. All samples prepared with the TCR Beta-LR assay were sequenced to 3M reads. On target reads, reproducibility, sensitivity, and robustness of input were used to measure assay performance. Results: Higher fractions of on target TCR reads were identified in PBMC and FFPE libraries generated with the TCR Beta-SR and LR assays. The TCR Beta-SR and LR assays had mean pairwise correlations for replicate samples of 0.95 and 0.99, respectively, and 0.86 for a comparator assay. Rare clones at frequencies 10−5 and 10−6 in PBMC samples were detected by the Oncomine TCR Beta-SR and LR assays in samples with an input of 50 - 300 ng, where a comparator assay had inconsistent detection of the rare clones at a frequency of 10−5, independent of input. Conclusions: Thermo Fisher's Oncomine TCR Beta assay reproducibly amplifies TCR specific sequences with high sensitivity. The assay is suitable for characterization of TCR clones from RNA derived from PBMC and tissue FFPEs. Citation Format: Jennifer Mason, Martin Buchkovich, Jennifer Sims, Patrick Hurban. Comparison of two commercially available T cell receptor repertoire sequencing assays [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4485.

e16553 Background: The dynamics of the cancer genome and T-cell receptor (TCR) repertoire are largely unclear during the development of gastric cancer, especially in the early stage. In this study, we studied the characteristics of genome and tumor microenvironment changes chronologically in 15 early gastric cancer (EGC) patients and illustrated their influence on carcinogenesis. Methods: 75 gastric tissues including precancerous lesions, cancer lesions and paired reference gastric samples, and 29 peripheral blood samples were obtained chronologically from 15 patients. All the lesions were categorized into 3 groups according to its pathology type (group1: inflammation or intestinal metaplasia, group 2: low-grade dysplasia (LGD), group 3: EGC). Deep sequencing of whole-exome and CDR3 chain of TCR of each sample was performed. Tumor mutation burden (TMB), TCR repertoire diversity and clonality were evaluated based on the sequencing data. Results: Heterogeneity existed in cancer genome and TCR repertoire among different patients. During carcinogenesis, TMB increased at first and then decreased, reaching its peak at LGD, which was different from what we have known from other advanced cancer. A detailed analysis showed that only part of the driver gene mutations maintained in this process. Compared with T cells infiltrated in reference samples, tumor-infiltrating T cells shared more clones with peripheral blood T cells. Diversity and clonality of TCR repertoire didn’t show significant change with the development of cancer (Shannon index: group 1 = 6.32, group 2 = 6.06, group 3 = 6.09, p = 0.836; Clonality: group 1 = 0.19, group 2 = 0.19, group 3 = 0.17, p = 0.374). Some CDR3 clones appeared in early-stage and maintained during the carcinogenesis process. Conclusions: Our research is the first to analyze the cancer genome and TCR repertoire changes from both the spatial and temporal perspectives during the development of early gastric cancer. Somatic mutations appeared in the very early stage of gastric cancer and may induce the immune microenvironment changes in gastric mucosa.

Tumor‐infiltrating T cell repertoire has been demonstrated to be closely associated with anti‐tumor immune response. However, the relationship between T cell repertoire in tumor tissue and prognosis has never been reported in Hepatocellular carcinoma (HCC). We performed the high‐throughput T cell receptor (TCR) sequencing to systematically characterize the infiltrating T cell repertoires of tumor and matched adjacent normal tissues from 23 HBV‐associated HCC patients. Significant differences on usage frequencies of some Vβ, Jβ, and Vβ‐Jβ paired genes have been found between the 2 groups of tissue samples, but no significant difference of TCR repertoire diversity could be found. Interestingly, the similarity of TCR repertoires between paired samples or the TNM stage alone could not be helpful to evaluate the prognosis of patients very well, but their combination could serve as an efficient prognostic indicator that the patients with early stage and high similarity showed a better prognosis. This is the first attempt to assess the potential value of TCR repertoire in HCC prognosis, and our findings could serve as a complement for the characterization of TCR repertoire in HCC.

Stimulation of naive CD4 T cells with weak T cell receptor agonists even in the absence of T helper-skewing cytokines can result in IL-4 production which can drive a Th2 response. Evidence for the in vivo consequences of such a phenomenon can be found in a number of mouse models and, importantly, a series of monogenic human diseases associated with significant atopy which are caused by mutations in the T cell receptor signaling cascade. Such diseases can help understand how Th2 responses evolve in humans, and potentially provide insight into therapeutic interventions.

Sequencing of the T cell receptor (TCR) repertoire is a powerful tool for deeper study of immune response, but the unique structure of this type of data makes its meaningful quantification challenging. We introduce a new method, the Gamma-GPD spliced threshold model, to address this difficulty. This biologically interpretable model captures the distribution of the TCR repertoire, demonstrates stability across varying sequencing depths, and permits comparative analysis across any number of sampled individuals. We apply our method to several datasets and obtain insights regarding the differentiating features in the T cell receptor repertoire among sampled individuals across conditions. We have implemented our method in the open-source R package powerTCR., Author summary A more detailed understanding of the immune response can unlock critical information concerning diagnosis and treatment of disease. Here, in particular, we study T cells through T cell receptor sequencing, as T cells play a vital role in immune response. One important feature of T cell receptor sequencing data is the frequencies of each receptor in a given sample. These frequencies harbor global information about the landscape of the immune response. We introduce a flexible method that extracts this information by modeling the distribution of these frequencies, and show that it can be used to quantify differences in samples from individuals of different biological conditions.

T cell alloreactivity is mediated by a self-human leukocyte antigen (HLA)-restricted T cell receptor (TCR) repertoire able to recognize both structurally similar and dissimilar allogeneic HLA molecules (i.e., differing by a single or several amino acids in their peptide-binding groove). We hypothesized that thymic selection on self-HLA molecules could have an indirect impact on the size and diversity of the alloreactive response. To test this possibility, we used TCR Vß immunophenotyping and immunosequencing technology in a model of alloreactivity between self-HLA selected T cells and allogeneic HLA-DPB1 (DPB1) differing from self-DPB1*04:02 by a single (DPB1*02:01) or several (DPB1*09:01) amino acids in the peptide-binding groove. CD4+ T cells from three different self-DPB1*04:01,*04:02 individuals were stimulated with HeLa cells stably transduced with the relevant peptide processing machinery, co-stimulatory molecules, and HLA-DP. Flow cytometric quantification of the DPB1-specific T cell response measured as upregulation of the activation marker CD137 revealed significantly lower levels of alloreactivity against DPB1*02:01 compared with DPB1*09:01 (mean CD4+CD137+ frequency 35.2 ± 9.9 vs. 61.5 ± 7.7%, respectively, p < 0.0001). These quantitative differences were, however, not reflected by differences in the breadth of the alloreactive response at the Vß level, with both alloantigens eliciting specific responses from all TCR-Vß specificities tested by flow cytometry, albeit with higher levels of reactivity from most Vß specificities against DPB1*09:01. In line with these observations, TCRB-CDR3 immunosequencing showed no significant differences in mean clonality of sorted CD137+CD4+ cells alloreactive against DPB1*02:01 or DPB1*09:01 [0.39 (0.36-0.45) and 0.39 (0.30-0.46), respectively], or in the cumulative frequencies of the 10 most frequent responding clones (55-67 and 58-62%, respectively). Most of the clones alloreactive against DPB1*02:01 (68.3%) or DPB1*09:01 (75.3%) were characterized by low-abundance (i.e., they were not appreciable among the pre-culture T cells). Interestingly, however, their cumulative frequency was lower against DPB1*02:01 compared with DPB1*09:01 (mean cumulative frequency 35.3 vs. 50.6%, respectively). Our data show that, despite lower levels of alloreactivity, a similar clonal diversity can be elicited by structurally similar compared with structurally dissimilar HLA-DPB1 alloantigens and demonstrate the power of TCRB immunosequencing in unraveling subtle qualitative changes not appreciable by conventional methods. OA gold - CA Fleischhauer

In our repertoire studies of varicella zoster virus-specific T cells, we used very stringent computational criteria to keep contamination with T cell receptor sequences from bystander-activated T cells to a minimum.

Leukocytes, or white blood cells, are used for a variety of investigational purposes and they offer advantages over laboratory-adapted cell lines. Leukocytes that are typically discarded by blood banks during the collection of red blood cells, platelets, and plasma can often be obtained for research use. However, the available leukocytes are frequently contained within a blood filtration device, such as the Terumo LR Express (TLRE) filter. In this study, procedures were evaluated for the ability to elute viable leukocytes from TLRE filters. The recovered leukocytes were assessed for composition, growth, and functionality. The large majority (>70%) of leukocytes were eluted with a single reverse-elution procedure and the recovered cells contained representative populations of the major leukocyte subsets. Purified T cells exhibited diverse T cell receptor repertoires, characteristic growth upon mitogen stimulation, and CD4+ T cells were able to support HIV-1 propagation. Purified monocytes were able to be differentiated into phenotypically characteristic populations of macrophages and dendritic cells. Overall, TLRE filters offer an attractive source of primary human cells for research and possibly clinical purposes.

Next generation sequencing of T and B cell receptors is emerging as a valuable and effective method to diagnose and monitor hematopoietic malignancies. So far, this approach has not been fully explored in regard to autoimmune diseases. T cells develop in the thymus where they undergo positive and negative selection, and the autoimmune regulator (Aire) is central in the establishment of immunological tolerance. Loss of Aire leads to severe multiorgan autoimmune disease with infiltration of autoreactive T cells in affected organs. Here, we have utilized next generation sequencing technology to investigate the T cell receptor repertoire in autoimmunity induced by immunization of mice with a self-antigen, myeloperoxidase. By investigating the T cell receptor repertoire in peripheral blood, spleen and lumbar lymph nodes from naïve and immunized Aire -/- mice and wild type littermates, changes in the usage of V and J genes were evident. Our results identify TCR clonotypes which could be potential targets for immune therapy. Also, Aire -/- autoimmunity is driven by a variety of autoantigens where the autoimmune response is highly polyclonal, and access to the most adjacent immunologically active tissue is required to identify T cell receptor sequences that are potentially unique to the antigen in Aire-/- immunized mice. Refereed/Peer-reviewed

Respiratory support improvements have aided survival of premature neonates, but infection susceptibility remains a predominant problem. We previously reported that neonatal mice have a rapidly evolving T-cell receptor (TCR) repertoire that impairs CD8+ T cell immunity. To understand the impact of prematurity on the human CD8+ TCR repertoire, we performed next-generation sequencing of the complementarity-determining region 3 (CDR3) from the rearranged TCR variable beta (Vβ) in sorted, naive CD8+ T cells from extremely preterm neonates (23-27 weeks gestation), term neonates (37-41 weeks gestation), children (16-56 months), and adults (25-50 years old). Strikingly, preterm neonates had an increased frequency of public clonotypes shared between unrelated individuals. Public clonotypes identified in preterm infants were encoded by germline gene sequences, and some of these clonotypes persisted into adulthood. The preterm neonatal naive CD8+ TCR repertoire exhibited convergent recombination, characterized by different nucleotide sequences encoding the same amino acid CDR3 sequence. As determined by Pielou's evenness and iChao1 metrics, extremely preterm neonates have less clonality, and a much lower bound for the number of unique TCR within an individual preterm neonate, which indicates a less rich and diverse repertoire, as compared to term neonates, children, and adults. This suggests that T cell selection in the preterm neonate may be less stringent or different. Our analysis is the first to compare the TCR repertoire of naive CD8+ T cells between viable preterm neonates and term neonates. We find preterm neonates have a repertoire immaturity which potentially contributes to their increased infection susceptibility. A developmentally regulated, evenly distributed repertoire in preterm neonates may lead to the inclusion of public TCR CDR3β sequences that overlap between unrelated individuals in the preterm repertoire.

Summary A small population of αβ T cells is characterized by the expression of more than one unique T cell receptor (TCR); this outcome is the result of “allelic inclusion,” that is, inclusion of both α- or β-chain alleles during V(D)J recombination. Limitations in single-cell sequencing technology, however, have precluded comprehensive enumeration of these dual receptor T cells. Here, we develop and experimentally validate a fully Bayesian inference model capable of reliably estimating the true rate of α and β TCR allelic inclusion across two different emulsion-barcoding single-cell sequencing platforms. We provide a database composed of over 51,000 previously unpublished allelic inclusion TCR sequence sets drawn from eight healthy individuals and show that allelic inclusion contributes a distinct and functionally important set of sequences to the human TCR repertoire. This database and a Python implementation of our statistical inference model are freely available at our Github repository ( https://github.com/JasonACarter/Allelic_inclusion ).

High-throughput sequencing technologies facilitate in-depth sequencing of T-cell receptor (TCR) repertoires to gain insights into human adaptive immunity. These studies can help decipher the diversity of T-cell receptors, relevant to physiological and disease conditions, and potential therapy responses. A variety of TCR kits and programs have been developed for the identification of V, D and J gene segments, complementarity-determining region 3 (CDR3) sequence extraction and clonality analysis. However, there is still a deficit of systematic comparative studies to assist in the selection of an optimal platform. Here, we present a detailed comparison of 4 state-of-the-art TCR platform on samples with different complexities (ranging from cancers to immune disorders) by taking into account aspects such as clonotype detection [unique V(D)J combination] and CDR3 identification. Our results provide new insights into the effect of method selection on analysis results, and will consequently inform users in the selection of an appropriate analysis method for the desired application(s). Citation Format: Mukta Dutta, Mariya Smit, Heather Collins, Anjali Malge, Steve Anderson, Corey Braastad. Comparative study of methods and platforms for T-cell receptor repertoire [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 3178.

e20728 Background: Deep sequencing studies on T cell receptor (TCR) repertoire have provided a wealth of information, such as immune status, virus infection history and so on. As we all known, the thymus begins to involute at the time of birth, so does the immune system. We can use TCR sequence to describe changes in human’s immune system with age, the difference between males and females and immune stat of cancers. Methods: We analyzed TCRβrepertoire in 334 healthy individuals without cancer, aged 2–83 years, and 207 lung cancers. In detail, genomic DNA was extracted from peripheral blood and used to amplified and sequenced the CDR3 region of rearranged TCRβ genes. Finally, we got the relative frequencies of individual T cell clones. Shannon’s entropy was calculated on the clonal abundance of all productive TCR sequences. The normalized Shannon’s entropy (Shannon index) was determined by dividing Shannon’s entropy by the natural logarithm of the number of unique productive TCR sequences. HEC was defined by a CDR3 aa clonotype clonal frequency exceeding 0.1%. Results: Analysis had been made to test the age relationship among a cluster of commonly used immune parameters, such as Shannon’s entropy, clonality and so on. Two outcomes, Shannon index and HEC, had showed a more closed correlation with age. Shannon indexs were significantly decreasing with age (p = 6.2×10-11), while HECs increased with age (p = 5.3×10-10) . Comparison of the peripheral blood T cell repertoire diversity between male and female, we found TCRβdiversity decreases more rapidly in 20 to 40 years for males than for females. No gender difference was observed in the youngest cohort and the oldest age cohort. Lung cancer patients has a lower T cell diversity compared with health people aged 40 years or more (6.43±1.30 vs 6.71±1.70, p = 6.3×10-5). Conclusions: Our data suggest that the human peripheral blood TCR repertoire diversity decrease from young ( < 20 years) to middle-aged ( 20 to 65 years ) to elderly adults ( > 65 years). Moreover, TCR repertoire displays significant gender difference in the 20-40 years age group. Lung cancer patients suffer a poorer immune state than healthy people.

Over the last few years several studies have addressed the possible influence of different immune mechanisms on the evolution of hematologic malignancies. More specifically, a fundamental role of reactive T-cells has now been demonstrated in the pathogenesis of many of these disorders as well as in the typical immunological milieu observed after stem cell transplantation in patients affected by these malignancies. In this context the study of the T-cell receptor (TCR) repertoire performed by different techniques, such as for instance flow cytometry and spectratyping, has undoubtedly provided a fundamental contribution. More recently, these seminal observations have even opened new potential therapeutic avenues based on the employment of adoptive T-cells somehow engineered toward potential neoplastic targets. This review will run through the most relevant studies which have tried to dissect the TCR repertoire usage in patients with different hematologic malignancies, especially focusing on the possible pathogenetic and therapeutic implications.

Although immune signaling has emerged as a defining feature of the glioma microenvironment, how the underlying structure of the glioma-infiltrating T-cell population differs from that of the blood from which it originates has been difficult to measure directly in patients. High-throughput sequencing of T-cell receptor (TCR) repertoires (TCRseq) provides a population-wide statistical description of how T cells respond to disease. We have defined immunophenotypes of whole repertoires based on TCRseq of the α- and β-chains from glioma tissue, nonneoplastic brain tissue, and peripheral blood from patients. Using information theory, we partitioned the diversity of these TCR repertoires into that from the distribution of VJ cassette combinations and diversity due to VJ-independent factors, such as selection due to antigen binding. Tumor-infiltrating lymphocytes (TILs) possessed higher VJ-independent diversity than nonneoplastic tissue, stratifying patients according to tumor grade. We found that the VJ-independent components of tumor-associated repertoires diverge more from their corresponding peripheral repertoires than T-cell populations in nonneoplastic brain tissue, particularly for low-grade gliomas. Finally, we identified a “signature” set of TCRs whose use in peripheral blood is associated with patients exhibiting low TIL divergence and is depleted in patients with highly divergent TIL repertoires. This signature is detectable in peripheral blood, and therefore accessible noninvasively. We anticipate that these immunophenotypes will be foundational to monitoring and predicting response to antiglioma vaccines and immunotherapy.

Diversity and size of the antigen-specific T cell receptor (TCR) repertoire are two critical determinants for successful control of chronic infection. Varicella zoster virus (VZV) that establishes latency during childhood can escape control mechanisms, in particular with increasing age. We examined the TCR diversity of VZV-reactive CD4 T cells in individuals older than 50 years by studying three identical twin pairs and three unrelated individuals before and after vaccination with live attenuated VZV. Although all individuals had a small number of dominant T cell clones, the breadth of the VZV-specific repertoire differed markedly. A genetic influence was seen for the sharing of individual TCR sequences from antigen-reactive cells but not for repertoire richness or the selection of dominant clones. VZV vaccination favored the expansion of infrequent VZV antigen-reactive TCRs, including those from naïve T cells with lesser boosting of dominant T cell clones. Thus, vaccination does not reinforce the in vivo selection that occurred during chronic infection but leads to a diversification of the VZV-reactive T cell repertoire. However, a single-booster immunization seems insufficient to establish new clonal dominance. Our results suggest that repertoire analysis of antigen-specific TCRs can be an important readout to assess whether a vaccination was able to generate memory cells in clonal sizes that are necessary for immune protection.

PURPOSE OF REVIEW: To review major findings on the T-cell receptor (TCR) repertoire diversity in response to several viral infections based on conventional methods of PCR, cloning and sequencing and to discuss their limitations in light of the recent methodological advances in deep sequencing.¦RECENT FINDINGS: Direct sequencing of TCR expressed by Ag-specific T cells isolated ex vivo has revealed that the TCR repertoire is not as restricted as previously estimated. Furthermore, analyses performed independently of the T-cell clonal hierarchy have brought to light an unexpected diversity. The choice of methods is critical to characterize the complexity of the repertoire. Recent advances in deep sequencing have uncovered the diversity of the TCR repertoire and shown that the size of the repertoire in naive and Ag-experienced memory T cells is three-fold to 15-fold larger than formerly estimated. Interestingly, the TCR complementary determining region 3 sequences are not randomly selected and a certain degree of shared TCR repertoire has been observed between different individuals.¦SUMMARY: Deep sequencing is a major methodological advance allowing more accurate molecular characterization of the TCR repertoire. In the near future, such technologies will further contribute to delineate the complexity of pathogen-specific T-cell response and help defining correlates of a protective immunity.

12035Background: The immune microenvironment of tumor is now emerging as an indicator of responses to anticancer treatment in HER2-positive breast cancer. However, the peripheral blood (PB) TCR rep...

TCR repertoire diversity is important for the protective efficacy of CD8(+) T cells, limiting viral escape and cross-reactivity between unrelated epitopes. The exact mechanism for selection of restricted versus diverse TCR repertoires is far from clear, although one thought is that the epitopes resembling self-peptides might select a limited array of TCR due to the deletion of autoreactive TCR. The molecule Aire promotes the expression of tissue-specific Ag on thymic medullary epithelial cells and the deletion of autoreactive cells, and in the absence of Aire autoreactive cells persist. However, the contribution of Aire-dependent peptides to the selection of the Ag-specific TCR repertoire remains unknown. In this study, we dissect restricted (D(b)NP(366)%(+)CD8(+)) and diverse (D(b)PA(224)%(+)CD8(+), K(d)NP(147)%(+)CD8(+)) TCR repertoires responding to three influenza-derived peptides in Aire-deficient mice on both B6 and BALB/c backgrounds. Our study shows that the number, qualitative characteristics and TCR repertoires of all influenza-specific, D(b)NP(366)%(+)CD8(+), D(b)PA(224)%(+)CD8(+) and K(d)NP(147)%(+)CD8(+) T cells are not significantly altered in the absence of Aire. This provides the first demonstration that the selection of an Ag-specific T-cell repertoire is not significantly perturbed in the absence of Aire.

The Immunoglobulins (IG) and the T cell receptors (TR) play the key role in antigen recognition during the adaptive immune response. Recent progress in next-generation sequencing technologies has provided an opportunity for the deep T cell receptor repertoire profiling. However, a specialised software is required for the rational analysis of massive data generated by next-generation sequencing. Here we introduce tcR, a new R package, representing a platform for the advanced analysis of T cell receptor repertoires, which includes diversity measures, shared T cell receptor sequences identification, gene usage statistics computation and other widely used methods. The tool has proven its utility in recent research studies. tcR is an R package for the advanced analysis of T cell receptor repertoires after primary TR sequences extraction from raw sequencing reads. The stable version can be directly installed from The Comprehensive R Archive Network ( http://cran.r-project.org/mirrors.html ). The source code and development version are available at tcR GitHub ( http://imminfo.github.io/tcr/ ) along with the full documentation and typical usage examples.

Human immunodeficiency virus (HIV) infection alters the function and repertoire of peripheral blood gamma delta T cells expressing the V gamma 2/V delta 2 T cell receptor (TCR). A cross-sectional comparison of the V gamma 2 TCR repertoire was performed for 56 HIV-infected subjects, 51 of whom were receiving highly active antiretroviral therapy (HAART), to measure changes in the V gamma 2 TCR repertoire. Longer durations of HAART were associated with partial recovery of the normal TCR repertoire, and recovery was greatest in subjects with complete virus suppression. Changes in the V gamma 2 TCR repertoire are sensitive measures for the effects of HAART and of residual HIV replication.