Immune repertoire analysis using RNA for tumor milieu analysis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE160302 | GEO | 2020/12/31
REPOSITORIES: GEO
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Project description:Temporal analysis of T-cell receptor (TCR) repertoire has been used to monitor treatment-induced changes in antigen-specific T cells in patients with cancer. However, lack of experimental model that allows the temporal analysis of TCR repertoire in same individual in homogeneous population limit the understanding of causal relationship between changes in TCR repertoire and antitumor responses. A bilateral tumor model, in which tumor cells were inoculated into the bilateral backs of mice, can be used for temporal analysis in TCR repertoire. In this study, we examined the prerequisite for this strategy: TCR repertoire are conserved between the bilateral tumor with same growth rate. The bilateral tumors with equivalent tumor size and draining lymph nodes (dLN) were collected 13 days after the tumor inoculation to analyze the TCR repertoire of CD4+ and CD8+ T cells. Most of the tumor-infiltrating T-cell clones were highly conserved between the bilateral tumors, and the extent of clonal expansion was equivalent. In addition, the similarity between bilateral tumors were equivalent to the heterogeneity in one side of the tumor. The similarity of TCR repertoire in the bilateral dLN was markedly lower than that of the tumor, suggesting that tumor-reactive T-cell clones induced independently in each dLN were integrated during recirculation and then infiltrated the tumor. These findings suggest that our bilateral tumor model is suitable for temporal monitoring of TCR repertoire to evaluate temporal and treatment-induced changes in tumor-reactive T-cell clones.
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Project description:During thymic development, most γδ T cells acquire innate-like characteristics that are critical for their function in tumor surveillance, infectious disease, and tissue repair. The mechanisms, however, that regulate γδ T cell developmental programming remain unclear. Recently, we demonstrated that the SLAM-SAP signaling pathway regulates the development and function of multiple innate-like γδ T cell subsets. Here, we used a single-cell proteogenomics approach to identify SAP-dependent developmental checkpoints and to define the SAP-dependent γδ TCR repertoire. SAP deficiency resulted in both a significant loss of an immatureGzma+Blk+Etv5+Tox2+γδT17 precursor population, and a significant increase inCd4+Cd8+Rorc+Ptcra+Rag1+thymic γδ T cells. SAP-dependent diversion of embryonic day 17 thymic γδ T cell clonotypes into the αβ T cell developmental pathway was associated with a decreased frequency of mature clonotypes in neonatal thymus, and an altered γδ TCR repertoire in the periphery. Finally, we identify TRGV4/TRAV13-4(DV7)-expressing T cells as a novel, SAP-dependent Vγ4 γδT1 subset. Together, the data suggest that SAP-dependent γδ/αβ T cell lineage commitment regulates γδ T cell developmental programming and shapes the γδ TCR repertoire.
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Project description:Background: Anti-tumor immunity is highly heterogeneous between individuals; however, underlying mechanisms remain elusive, despite their potential to improve personalized cancer immunotherapy. Head and neck squamous cell carcinomas (HNSCCs) vary significantly in immune infiltration and therapeutic responses between patients, demanding a mouse model with appropriate heterogeneity to investigate mechanistic differences. Methods: We developed a unique HNSCC mouse model to investigate underlying mechanisms of heterogeneous anti-tumor immunity. This model system may provide a better control for tumor-intrinsic and host-genetic variables, thereby uncovering the contribution of the adaptive immunity to tumor eradication. We employed single-cell T-cell receptor (TCR) sequencing coupled with single-cell RNA sequencing to identify the difference in TCR repertoire of CD8 tumor infiltrating lymphocytes (TILs) and the unique activation states linked with different TCR clonotypes. Results: We discovered that genetically identical wild-type recipient mice responded heterogeneously to the same SCC tumors orthotopically transplanted into the buccal mucosa. While tumors initially grew in 100% of recipients and most developed aggressive tumors, ~25% of recipients reproducibly eradicated tumors without intervention. Heterogeneous anti-tumor responses were dependent on CD8 T cells. Consistently, CD8 TILs in regressing tumors were significantly increased and more activated. Single-cell TCR-sequencing revealed that CD8 TILs from both growing and regressing tumors displayed evidence of clonal expansion compared with splenic controls. However, top TCR clonotypes and TCR specificity groups appear to be mutually exclusive between regressing and growing TILs. Furthermore, many TCRa/TCRb sequences only occur in one recipient. By coupling single-cell transcriptomic analysis with unique TCR clonotypes, we found that top TCR clonotypes clustered in distinct activation states in regressing vs. growing TILs. Intriguingly, the few TCR clonotypes shared between regressors and progressors differed greatly in their activation states, suggesting a more dominant influence from tumor microenvironment than TCR itself on T cell activation status. Conclusions: We reveal that intrinsic differences in the TCR repertoire of TILs and their different transcriptional trajectories may underlie the heterogeneous anti-tumor immune responses in different hosts. We suggest that anti-tumor immune responses are highly individualized and different hosts employ different TCR specificities against the same tumors, which may have important implications for developing personalized cancer immunotherapy.
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Project description:We designed a lineage tracing method to label a wave of T cells produced in the thymus of young. TCR repertoire analysis revealed that the lineage-tracked CD4 memory-like T cells and T regulatory cells exhibited age-dependent enrichment of shared clonotypes, indicating that antigen matched T regulatory cells are involved in maintaining the tolerant status of long-lived T cell clones. Furthermore, these shared clonotypes were found across different mice maintained in the same housing condition mice. Examination of antigen-specificity of aging-tracking T-cell subtype.
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Project description:TCR repertoire analysis revealed the highly conserved TCR repertoire in the bilateral tumor in mice
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Project description:Immune repertoire analysis using RNA for tumor milieu analysis
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Project description:Infiltrating T-lymphocytes from the peripheral blood into the central nervous system (CNS) play a dynamic role in the development of a neurological immune-mediated diseases. HAM/TSP is a chronic progressive inflammatory neurological disorder associated with human T-cell lymphotropic virus type I (HTLV-I) infection. In this chronic myelopathy, virus-infected circulating T-cells infiltrate the CNS and an immune response is initiated against the components of CNS. As the HTLV-I proviral load (PVL) has been used as the best clinical marker for patient diagnostic with HAM/TSP, we hypothesized there might be a signature on T-cell receptor (TCR) clonal repertoire in these patients, which could distinguish HAM/TSP patients from the healthy population, as well as from patients with a more heterogeneous CNS-reactive inflammatory disease as multiple sclerosis (MS). With this in mind, we applied an innovative unbiased molecular technique – unique molecular identifier (UMI) library-strategy to investigate with high accuracy the TCR clonal repertoire by high throughput sequencing (HTS) technology. cDNA-TCR β-chain libraries were sequenced from 2 million peripheral mononuclear cells (PBMCs) in 14 HAM/TSP patients, 34 MS patients and 20 healthy controls (HC). To address whether the clonal expansion correlates with the patient’s PVL level, analysis of longitudinal TCR repertoire was performed in 2 HAM/TSP patients. Over 5.6 million TCR sequences were generated per sample on HiSeq 2500 Illumina system and analyzed through the molecular identifier groups-based error correction pipeline (MiGEC). Bioinformatic analysis showed that clones with more than 8 reads had a lower coefficient of variation (CV) and then could be used with confidence to evaluate the TCR clonal expansion. While HAM/TSP patients showed the higher clonal T-cell expansion compared to MS and HC, increase of the TCR clonal expansion was inversely correlated with the diversity of TCR repertoire in all subject’s group. In addition, correlation of the PVL with TCR clonal expansion was observed in HAM/TSP patients at longitudinal time-points. Surprisingly, MS patients showed a higher diversity of TCR repertoire along with a very slight clonal T-cell expansion in comparison to either HAM/TSP patients or HC. Despite of the higher TCR clonal expansion in HAM/TSP patients, a non-shared or “private” TCR repertoire was observed in these patients. No clones that shared the same CDR3 amino acid sequences were seen in HC and MS patients. However, a cluster of related CDR3 amino acid sequences were observed for 18 out of 34 MS patients when evaluated by phylogenetic tree analysis. It suggestes that a TCR-repertoire signature might characterize patients with MS. Our findings suggest that even though a unique TCR-b repertoire shapes the immune response in patients with neurological immune-mediated disease, a relatedness on clonal T-cell repertoire exist in MS.
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Project description:Immunogenetic studies in CLL revealed clonal expansions of T cells and shared T cell clonotypes between different patients, strongly implying clonal selection by antigens. Recurrent genomic aberrations associated with distinct abnormal expression profiles could represent an alternative source of potent immunogenic neoepitopes that might shape the T cell receptor (TR) gene repertoire in CLL. On these grounds, here we interrogated the TR gene repertoire of CLL patients with different genomic aberration profiles with the aim to identify unique signatures that would allude to distinct antigen selection pressures.The study group included 44 untreated CLL patients with who were categorized in 5 subgroups defined by a unique genomic aberration, as follows: +12, n=17; del(11q), n=10; del(13q), n=7; TP53mut, n=5; NOTCH1mut, n=5. Starting material was RNA extracted from blood mononuclear cells. TRBV-TRBD-TRBJ gene rearrangements were RT-PCR amplified and subjected to paired-end next generation sequencing (NGS). Bioinformatics analysis with a purpose-build pipeline and in silico prediction models were used for the profiling of the TR gene repertoire and the identification of neoepitope-specific TR clonotypes, respectively.
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