Intravenous Nanoparticle Vaccination Generates Stem-Like TCF1+ Neoantigen-Specific CD8 T Cells
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA664405 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12672724.fastq.gz | Fastqsanger.gz | |||
| SRR12672725.fastq.gz | Fastqsanger.gz | |||
| SRR12672726.fastq.gz | Fastqsanger.gz | |||
| SRR12672727.fastq.gz | Fastqsanger.gz | |||
| SRR12672728.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: Single cell RNA sequencing technologies have dramatically increased the resolution at which cells can be characterized. The goal of this study was to characterize the expression differences between neoantigen (neoAg) specific CD8 T cells elicited by a TLR7/8 agonist nanoparticle vaccine delivered intravenously (IV) or subcutaneously (SC). Previous flow cytometry experiments had suggested that IV vaccination resulted in more TCF1+ cells as compared to the SC route. Methods: Mice (n=5) were vaccinated twice, with a 2 week interval between vaccinations. Two weeks after the boost, mice were sacrificed and spleens collected, dissociated and stained with hashtag antibodies/flow cytometry antibodies. NeoAg-specific cells were labelled with a tetramer and sorted on a FACS Aria. Cells were processed through the 10X pipeline. Results: We identified 12 clusters within our antigen specific CD8 T cells. The IV route elicited neoAg+ CD8 T cells with a predominantly stem-like gene signature whereas the SC route elicited more effector genes.
2020-11-02 | GSE158240 | GEO
Project description:Personalized cancer vaccines are a promising approach for inducing T cell immunity to tumor neoantigens. Using a self-assembling nanoparticle vaccine that links neoantigen peptides to a Toll-like receptor 7/8 agonist (SNP-7/8a), we show how the route and dose alter the magnitude and quality of neoantigen-specific CD8+ T cells. Intravenous vaccination (SNP-IV) induced a higher proportion of TCF1+PD-1+CD8+ T cells as compared to subcutaneous immunization (SNP-SC). Single-cell RNA sequencing showed that SNP-IV induced stem-like genes (Tcf7, Slamf6, Xcl1) whereas SNP-SC enriched for effector genes (Gzmb, Klrg1, Cx3cr1). Stem-like cells generated by SNP-IV proliferated and differentiated into effector cells upon checkpoint blockade, leading to superior antitumor response as compared to SNP-SC in a therapeutic model. The duration of antigen presentation by dendritic cells controlled the magnitude and quality of CD8+ T cells. These data demonstrate how to optimize antitumor immunity by modulating vaccine parameters for specific generation of effector or stem-like CD8+ T cells.
| S-EPMC7746638 | biostudies-literature
Project description:Neoantigen-specific T cells specifically recognize tumor cells and are critical for cancer immunotherapies. However, the transcriptional program controlling the cell fate decisions by neoantigen-specific T cells is incompletely understood. Here, using joint single-cell transcriptome and TCR profiling, we mapped the clonal expansion and differentiation of neoantigen-specific CD8+ T cells in the tumor and draining lymph node in mouse prostate cancer. Compared to other antitumor CD8+ T cells and bystanders, neoantigen-specific CD8+ tumor-infiltrating T cells (TILs) upregulated gene signatures of T cell activation and exhaustion. In the tumor draining lymph node, we identified TCF1+TOX- TSCM, TCF1+TOX+ TPEX, and TCF1-TOX+ effector-like TEX subsets among neoantigen-specific CD8+ T cells. Clonal tracing analysis of neoantigen-specific CD8+ T cells revealed greater clonal expansion in divergent clones and less expansion in clones biased towards TEX, TPEX, or TSCM. The TPEX subset had greater clonal diversity and likely represented the root of neoantigen-specific CD8+ T cell differentiation, whereas highly clonally expanded effector-like TEX cells were positioned at the branch point where neoantigen-specific clones exited the lymph node and differentiated into TEX TILs. Notably, TSCM differentiation of neoantigen-specific CD8+ clones in the lymph node negatively correlated with exhaustion and clonal expansion of the same clones in the tumor. In addition, the gene signature of neoantigen-specific clones biased toward tumor infiltration relative to lymph node residence predicted a poorer response to immune checkpoint inhibitor. Together, we identified the transcriptional program that controls the cell fate choices by neoantigen-specific CD8+ T cells and correlates with clinical outcomes in cancer patients.
2025-10-06 | GSE290142 | GEO
Project description:Stem-like CD8 + T cells are regulated by the transcription factor TCF1 and are key players in the response to immune checkpoint blockade (ICB). However, recent findings indicate that reliance on TCF1 + CD8 + stem-like T cells for ICB efficacy may not be equal across patients or tumor contexts. Here, we uncovered that TCF1-deficient CD8 + T cells showed defective priming in the tumor-draining lymph node of mice bearing poorly immunogenic tumors and that TCF1 regulates optimal T cell responsiveness to low TCR triggering. Importantly, we found that TCF1 was dispensable for therapy response in settings where ICB expanded intra-tumoral transitory effector-like cells. Conversely, TCF1 was required for ICB response in tumors that failed to expand cytotoxic effectors and accumulated Tox + dysfunctional T cells. In the absence of TCF1, dysfunctional T cells became destabilized and shared features with CD8 + T cells found in patients that fail ICB. Our study highlights a role for TCF1 in the early stages of the anti-tumor CD8 + T cell response with important implications for guiding optimal therapeutic interventions in cancers with low frequency of TCF1 + CD8 + T cells and low neoantigen levels.
2023-08-24 | GSE217038 | GEO
Project description:A personalized neoantigen vaccine generates anti-tumor immunity in high-risk renal cell carcinoma
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Project description:A personalized neoantigen vaccine generates anti-tumor immunity in high-risk renal cell carcinoma
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Project description:The HMG-box factor Tcf1 is required during T-cell development in the thymus and mediates the nuclear response to Wnt signals. Tcf1-/- mice have previously been characterized and show developmental blocks at the CD4-CD8- double negative (DN) to CD4+CD8+ double positive transition. Due to the blocks in T-cell development, Tcf1-/- mice normally have a very small thymus. Unexpectedly, a large proportion of Tcf1-/- mice spontaneously develop thymic lymphomas with 50% of mice developing a thymic lymphoma/leukemia at the age of 16 wk. These lymphomas are clonal, highly metastatic, and paradoxically show high Wnt signaling when crossed with Wnt reporter mice and have high expression of Wnt target genes Lef1 and Axin2. In wild-type thymocytes, Tcf1 is higher expressed than Lef1, with a predominance of Wnt inhibitory isoforms. Loss of Tcf1 as repressor of Lef1 leads to high Wnt activity and is the initiating event in lymphoma development, which is exacerbated by activating Notch1 mutations. Thus, Notch1 and loss of Tcf1 functionally act as collaborating oncogenic events. Tcf1 deficiency predisposes to the development of thymic lymphomas by ectopic up-regulation of Lef1 due to lack of Tcf1 repressive isoforms and frequently by cooperating activating mutations in Notch1. Tcf1 therefore functions as a T-cell‚Äìspecific tumor suppressor gene, besides its established role as a Wnt responsive transcription factor. Thus, Tcf1 acts as a molecular switch between proliferative and repressive signals during T-lymphocyte development in the thymus. Using the Tcf1-/- DeltaVII/DeltaVII knockout mouse (Verbeek et al. Nature 1995), thymocytes of 17 mice (5 control Tcf+/-, 4 Tcf-/- and 8 Tcf-/- with thymic lymphoma) were homogenized for RNA isolation using Qiagen RNeasy minicolumns. The quantity and quality of total RNA was determined using spectrophotometry (Nanodrop) and an Agilent Bioanalyzer. One ¬µg of RNA was used to generate cRNA using Affymetrix One cycle cDNA synthesis kit (Affymetrix, Santa Clara, CA, USA), after which the samples were biotinylated using an Affymetrix IVT labeling kit (Affymetrix). The samples were hybridized overnight at 42¬?C to GeneChip mouse genome 430 2.0 Arrays (Affymetrix). Washing and staining steps were performed on a Fluidics station 450, and the Genechips were scanned using a GeneChip scanner 3000 (Affymetrix) at the Department of Immunology, Erasmus Medical Center. Raw data were normalized and summarized using Robust Multichip Average (RMA) method. The experiment consists of 5 control Tcf+/- thymi, 4 Tcf-/- thymi and 8 Tcf-/- thymus samples with thymic lymphoma.
2014-02-14 | E-GEOD-54976 | biostudies-arrayexpress
Project description:Regulatory T (Treg) cells are important regulators of the immune system and have versatile functions for the homeostasis and repair of tissues. They express the forkhead box transcription factor Foxp3 as a lineage-defining protein. In mature Treg cells, the Foxp3 core promoter is unmethylated indicating that this area could harbor a transcription factor complex to initiate or repress gene expression, respectively. We used an unbiased method to identify Foxp3-promoter-binding transcription factors (TFs) by inverted chromatin immunoprecipitation (IP) followed by quantitative mass spectrometry. We identified several candidate factors which showed Foxp3-promoter suppressive capacity, one of which was T-cell factor 1 (Tcf1). Using viral overexpression and CRISPR/Cas knockout studies, we identified Tcf1 as a repressor of Foxp3 expression in primary conventional CD4 T cells (Tconv). In Tcf1-deficient animals, increased levels of Foxp3intermediateCD25negative T cells were identified in secondary lymphoid tissues, implicating that Tcf1 protects Foxp3-negative T cells from inadvertent Foxp3 expression.
2020-05-26 | PXD018764 | Pride
Project description:Comparison of epigenome and Tcf1 occupancy between control and Tcf1/Lef1-deficient CD8 T cells Control mice or those are deficient for Tcf1 and Lef1 transcription factors (deleted by CD4-Cre) were used to isolate thymocytes. The thymocytes were surface-stained to identify TCRbeta high, CD69â, CD24â CD8+ subsets. These cells were sorted for ChIPseq analysis of various histone marks. Control mice or those are deficient for Tcf1 (deleted by CD4-Cre) were used to isolate thymocytes. The splenocytes were surface-stained to identify TCRbeta high, CD8+ subsets. These cells were sorted for ChIPseq analysis of Tcf1 binding locations.
2016-02-12 | E-GEOD-73239 | biostudies-arrayexpress
Project description:Tcf1 is necessary for optimal T lineage development. Tcf1 deficient progenitors fail to initiate the T lineage program in vitro and development is severely defective in vivo. We used microarrays to assess the overal global gene expression differences from Tcf1 wildtype and deficient lymphoid biased progenitors cultures on Notch-ligand expressing stroma to determine if Tcf1 deficient progenitors are able to intiate the T lineage specification program. Abstract of manuscript: The thymus imposes the T cell fate on incoming multipotent progenitors, but the molecular mechanisms are poorly understood. We show that transcription factor Tcf1 initiates T-lineage-specific gene expression. Tcf1 is downstream of Notch1 signaling and expressed in early T-cell progenitors. Progenitors deficient for Tcf1 are unable to initiate normal T-lineage specification. Conversely, ectopic expression of Tcf1 in hematopoietic progenitors is sufficient to induce expression of T-lineage specific genes in vitro. Thus, our study identifies Tcf1 as critically involved in the establishment T cell identity. Tcf1 wildtype and deficient bone marrow lymphoid primed progenitors (LMPPs, Lineage marker- Sca+kit+Flt3high) were harvested in triplicate and seeded onto OP9-DL4 expressing stroma for 4 days upon which highly pure lineage negative and Thy1+CD25+ T cells were cell sorted for expression analysis. The lineage negative populations represent three seperate mice from each genotype and the Thy1+CD25+T lineage population represents two replicates from the Tcf1 wildtype group. No Thy1+CD25+ T lineage cells develop from Tcf1 deficient progentiors.
2011-08-03 | E-GEOD-26559 | biostudies-arrayexpress