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Servicebio Inc recombinant anti cd8 alpha antibody
Non-canonical neo-antigens presented by MHC class I effectively activate <t>CD8</t> + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.
Recombinant Anti Cd8 Alpha Antibody, supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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recombinant anti cd8 alpha antibody - by Bioz Stars, 2026-07
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1) Product Images from "Predominant mutated non-canonical tumor-specific antigens identified by proteogenomics demonstrate immunogenicity and tumor suppression in CRC"

Article Title: Predominant mutated non-canonical tumor-specific antigens identified by proteogenomics demonstrate immunogenicity and tumor suppression in CRC

Journal: Cell Genomics

doi: 10.1016/j.xgen.2025.101062

Non-canonical neo-antigens presented by MHC class I effectively activate CD8 + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.
Figure Legend Snippet: Non-canonical neo-antigens presented by MHC class I effectively activate CD8 + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

Techniques Used: Biomarker Discovery, Derivative Assay, Negative Control, In Vivo, Enzyme-linked Immunospot, Injection, Immunostaining, Control, Single Cell, Marker, Gene Expression, Expressing



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Non-canonical neo-antigens presented by MHC class I effectively activate <t>CD8</t> + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.
Recombinant Anti Cd8 Alpha Antibody, supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Non-canonical neo-antigens presented by MHC class I effectively activate <t>CD8</t> + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.
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Non-canonical neo-antigens presented by MHC class I effectively activate <t>CD8</t> + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.
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Non-canonical neo-antigens presented by MHC class I effectively activate <t>CD8</t> + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.
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Analysis of T cells, TCRs and subtypes of <t>CD8</t> + T cells. (A) Identification of peripheral blood NK cells and T cells across all samples into seven subtypes, including five T cell subtypes, and two NK cell subtypes. (B) Fraction of the five T cell subtypes and two NK cell subtypes among three groups. (C-E) Cellular immunity data from clinical laboratory tests by flow cytometry (FCM) showed the percentage of CD4 + T cells ( C ), CD8 + T cells ( D ), and the radio of CD4 + T/CD8 + T cells ( E ), in children with acute FM ( n = 29) and control children ( n = 14). Unpaired t-test was used for analysis. * p < 0.05; ** p < 0.01; *** p < 0.001 (F) Identification of peripheral blood CD8 + T cells across all samples into five subtypes. (G) Percentages of each CD8 + T cell subtype in total CD8 + T cells among three groups. (H) Dot plot showing the expression of marker genes of each CD8 + T cell type in each cluster. (I-L) Dot plot of DEGs among three groups in CD8 + Tn cells (I) , CD8 + Tscm/cm (J) , CD8 + Tem (K) , CD8 + Teff cells (L) . (M) UMAP embedding of all CD8 + T cell subtypes, overlaid with the RNA velocity stream. (N) Subclustered NK cells and T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (O) TCR clones detected among NK cell and T cell subsets, colored by their clonotype sizes. (P) Subclustered CD8 + T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (Q) The clonal-size percentage across three conditions. Clonotypes whose clone size > 1 were identified as clonally expanded clones.
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Analysis of T cells, TCRs and subtypes of <t>CD8</t> + T cells. (A) Identification of peripheral blood NK cells and T cells across all samples into seven subtypes, including five T cell subtypes, and two NK cell subtypes. (B) Fraction of the five T cell subtypes and two NK cell subtypes among three groups. (C-E) Cellular immunity data from clinical laboratory tests by flow cytometry (FCM) showed the percentage of CD4 + T cells ( C ), CD8 + T cells ( D ), and the radio of CD4 + T/CD8 + T cells ( E ), in children with acute FM ( n = 29) and control children ( n = 14). Unpaired t-test was used for analysis. * p < 0.05; ** p < 0.01; *** p < 0.001 (F) Identification of peripheral blood CD8 + T cells across all samples into five subtypes. (G) Percentages of each CD8 + T cell subtype in total CD8 + T cells among three groups. (H) Dot plot showing the expression of marker genes of each CD8 + T cell type in each cluster. (I-L) Dot plot of DEGs among three groups in CD8 + Tn cells (I) , CD8 + Tscm/cm (J) , CD8 + Tem (K) , CD8 + Teff cells (L) . (M) UMAP embedding of all CD8 + T cell subtypes, overlaid with the RNA velocity stream. (N) Subclustered NK cells and T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (O) TCR clones detected among NK cell and T cell subsets, colored by their clonotype sizes. (P) Subclustered CD8 + T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (Q) The clonal-size percentage across three conditions. Clonotypes whose clone size > 1 were identified as clonally expanded clones.
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OH2-FLT3L induced tumor dendritic cell and T cell infiltration, stimulating an increase in the proportion of immune effector cells in the spleen (A) Representative IHC staining results for CD3, CD4, <t>CD8,</t> and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. Scale bar, 100 μm; n = 5 samples per group. (B) Positive cell rates for CD3, CD4, CD8, and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. n = 5 samples per group; proportions represent the percentage of cells relative to the total cell count. (C–J) After treatment completion, splenic lymphocytes were isolated from mice and prepared as single-cell suspensions for flow cytometry analysis of T cell subtypes (C–E), DCs (defined as Gr-1-MHC II + CD11c+CD11b+) (F), NK cells (defined as CD3-CD49b+) (G), Gr-1+CD11b+ myeloid cells (defined as Gr-1+CD11b+) (H), and memory T cells (defined as CD4+CD44+ or CD8+CD44+) (I and J). Data are presented as individual independent replicates. Error bars represent the SEM, and statistical analysis was conducted using multiple comparisons ANOVA. ns indicates no significant differences; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001. Collectively, these results suggested that OH2-FLT3L effectively inhibited tumor growth, enhanced antitumor immune responses, and promoted the formation of immune memory in vivo .
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OH2-FLT3L induced tumor dendritic cell and T cell infiltration, stimulating an increase in the proportion of immune effector cells in the spleen (A) Representative IHC staining results for CD3, CD4, <t>CD8,</t> and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. Scale bar, 100 μm; n = 5 samples per group. (B) Positive cell rates for CD3, CD4, CD8, and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. n = 5 samples per group; proportions represent the percentage of cells relative to the total cell count. (C–J) After treatment completion, splenic lymphocytes were isolated from mice and prepared as single-cell suspensions for flow cytometry analysis of T cell subtypes (C–E), DCs (defined as Gr-1-MHC II + CD11c+CD11b+) (F), NK cells (defined as CD3-CD49b+) (G), Gr-1+CD11b+ myeloid cells (defined as Gr-1+CD11b+) (H), and memory T cells (defined as CD4+CD44+ or CD8+CD44+) (I and J). Data are presented as individual independent replicates. Error bars represent the SEM, and statistical analysis was conducted using multiple comparisons ANOVA. ns indicates no significant differences; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001. Collectively, these results suggested that OH2-FLT3L effectively inhibited tumor growth, enhanced antitumor immune responses, and promoted the formation of immune memory in vivo .
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A. Numbers of <t>CD8a</t> + cells were normalized to an area of 10 5 µm 2 for each analyzed tumor; black bars indicate mean values ± SEM for each treatment group; SHAM-IR n=5, CDR n=11, UHDR n=10. B-F) Percentages of splenic immune cell populations; No tumor n=5, SHAM-IR n=8, CDR n=6, UHDR n=6. Black bars indicate mean values ± SEM for each treatment group for B: mature dendritic cells, C: mature NK cells, D: cytotoxic T-cells, E: regulatory T-cells and F: helper T-cells. The p-values (Kruskal-Wallis test) are indicated individually.
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Image Search Results


Non-canonical neo-antigens presented by MHC class I effectively activate CD8 + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

Journal: Cell Genomics

Article Title: Predominant mutated non-canonical tumor-specific antigens identified by proteogenomics demonstrate immunogenicity and tumor suppression in CRC

doi: 10.1016/j.xgen.2025.101062

Figure Lengend Snippet: Non-canonical neo-antigens presented by MHC class I effectively activate CD8 + T cells and suppress tumor growth in a mouse model (A) Workflow for identification and validation of neo-epitopes in a mouse model. (B) Schematic of peptide challenge assay. (C and D) Spot-forming units (SFU; IFN-γ spots per 1 × 10 5 cells) for neo-epitopes derived from intronic (C) and intergenic (D) regions at 14 days post immunization. PBS served as the negative control. (E) Schematic of the in vivo anti-tumor experiment. All ELISpot-confirmed neo-antigens were combined into a multi-epitope vaccine. (F) Tumor volume changes following subcutaneous MC38 cell injection. (G) Tumor-volume changes after antibody-mediated blockade of CD8 + T cells, CD4 + T cells, NK cells, or macrophages. (H) Immunostaining of tumor sections showing CD8 + T, CD4 + T, and regulatory T (Treg) cell infiltration across treatment groups (PBS, control vaccine “CtrlVax and neo-antigen vaccine “Vax”). Scale bar: 40 μm. (I) UMAP projection of single-cell transcriptomic data, annotating tumor-infiltrating lymphocyte (TIL) subpopulations: cytotoxic CD8 + T cells, exhausted CD8 + T cells, exhausted CD4 + T cells, naive CD4 + T cells, proliferating CD4 + T cells, Tregs, NK cells, and B cells. (J) Dot plot of marker gene expression across TIL subsets. Dot size. fraction of cells expressing the gene; dot color. mean normalized expression. (K) Proportion of CD3 + T cells among total tumor-infiltrating immune cells in treatment groups (PBS, CtrlVax, and Vax). (L) Relative distribution of CD4 + T cell subpopulations across treatment groups (PBS, CtrlVax, and Vax) shown as pie charts. Error bars represent mean ± SEM; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

Article Snippet: Recombinant Anti-CD8 alpha antibody (Rabbit mAb) , Servicebio , Cat# GB15068;RRID: AB_3246431.

Techniques: Biomarker Discovery, Derivative Assay, Negative Control, In Vivo, Enzyme-linked Immunospot, Injection, Immunostaining, Control, Single Cell, Marker, Gene Expression, Expressing

Analysis of T cells, TCRs and subtypes of CD8 + T cells. (A) Identification of peripheral blood NK cells and T cells across all samples into seven subtypes, including five T cell subtypes, and two NK cell subtypes. (B) Fraction of the five T cell subtypes and two NK cell subtypes among three groups. (C-E) Cellular immunity data from clinical laboratory tests by flow cytometry (FCM) showed the percentage of CD4 + T cells ( C ), CD8 + T cells ( D ), and the radio of CD4 + T/CD8 + T cells ( E ), in children with acute FM ( n = 29) and control children ( n = 14). Unpaired t-test was used for analysis. * p < 0.05; ** p < 0.01; *** p < 0.001 (F) Identification of peripheral blood CD8 + T cells across all samples into five subtypes. (G) Percentages of each CD8 + T cell subtype in total CD8 + T cells among three groups. (H) Dot plot showing the expression of marker genes of each CD8 + T cell type in each cluster. (I-L) Dot plot of DEGs among three groups in CD8 + Tn cells (I) , CD8 + Tscm/cm (J) , CD8 + Tem (K) , CD8 + Teff cells (L) . (M) UMAP embedding of all CD8 + T cell subtypes, overlaid with the RNA velocity stream. (N) Subclustered NK cells and T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (O) TCR clones detected among NK cell and T cell subsets, colored by their clonotype sizes. (P) Subclustered CD8 + T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (Q) The clonal-size percentage across three conditions. Clonotypes whose clone size > 1 were identified as clonally expanded clones.

Journal: Journal of Translational Medicine

Article Title: CXCL12/CXCR4 axis mediates CD8 + T cell overactivation in the progression of viral myocarditis

doi: 10.1186/s12967-025-06394-6

Figure Lengend Snippet: Analysis of T cells, TCRs and subtypes of CD8 + T cells. (A) Identification of peripheral blood NK cells and T cells across all samples into seven subtypes, including five T cell subtypes, and two NK cell subtypes. (B) Fraction of the five T cell subtypes and two NK cell subtypes among three groups. (C-E) Cellular immunity data from clinical laboratory tests by flow cytometry (FCM) showed the percentage of CD4 + T cells ( C ), CD8 + T cells ( D ), and the radio of CD4 + T/CD8 + T cells ( E ), in children with acute FM ( n = 29) and control children ( n = 14). Unpaired t-test was used for analysis. * p < 0.05; ** p < 0.01; *** p < 0.001 (F) Identification of peripheral blood CD8 + T cells across all samples into five subtypes. (G) Percentages of each CD8 + T cell subtype in total CD8 + T cells among three groups. (H) Dot plot showing the expression of marker genes of each CD8 + T cell type in each cluster. (I-L) Dot plot of DEGs among three groups in CD8 + Tn cells (I) , CD8 + Tscm/cm (J) , CD8 + Tem (K) , CD8 + Teff cells (L) . (M) UMAP embedding of all CD8 + T cell subtypes, overlaid with the RNA velocity stream. (N) Subclustered NK cells and T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (O) TCR clones detected among NK cell and T cell subsets, colored by their clonotype sizes. (P) Subclustered CD8 + T cells colored by clonotype sizes ( Left ) and cell types ( Right ). (Q) The clonal-size percentage across three conditions. Clonotypes whose clone size > 1 were identified as clonally expanded clones.

Article Snippet: For paraffin-embedded mouse myocardial tissue sections, the samples were dewaxed, permeabilizated, blocked, and stained overnight at 4° with CXCR4 Monoclonal antibody (1:200; 60042-1-Ig, Proteintech, Wuhan, China) or Recombinant Anti-CD8 alpha Rabbit mAb (1:50; GB15068-100, Servicebio, Wuhan, China) after PBS washing, the sections were incubated with CoraLite488-conjugated goat anti-mouse (1:200; SA00013-1, Proteintech, Wuhan, China) or Alexa Fluor594-conjugated goat anti-rabbit antibody (1:200; GB28301, Servicebio, Wuhan, China) for 1 h at room temperature.

Techniques: Flow Cytometry, Control, Expressing, Marker, Clone Assay

The accumulation and cytotoxicity of CD8 + T cells in CVB3-induced viral myocarditis mice. (A) The representative flow cytometry images of CD8 + T cells in PBMCs of myocarditis (MC) mice and control (Con) mice at day 7. (B) The representative flow cytometry images of CD8 + T cells in spleens of MC mice and control mice at day 7. (C) Immunofluorescence revealed the enrichment of CD8 + T cells (red) in the myocardium of MC mice at day 7. Scale bar, 275 μm. (D-E) The histogram of proportion of CD8 + T cells in PBMCs (D) and spleens (E) of MC mice and control mice at day 7. (F-J) The expression of cytotoxic genes GZMA (F) , GZMB (G) , Perforin (H) , IFN-γ (I) and TNF-α (J) was significantly upregulated in splenic CD8 + T cells of MC mice compared with that in control mice tested by qRT-PCR. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 3 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Journal: Journal of Translational Medicine

Article Title: CXCL12/CXCR4 axis mediates CD8 + T cell overactivation in the progression of viral myocarditis

doi: 10.1186/s12967-025-06394-6

Figure Lengend Snippet: The accumulation and cytotoxicity of CD8 + T cells in CVB3-induced viral myocarditis mice. (A) The representative flow cytometry images of CD8 + T cells in PBMCs of myocarditis (MC) mice and control (Con) mice at day 7. (B) The representative flow cytometry images of CD8 + T cells in spleens of MC mice and control mice at day 7. (C) Immunofluorescence revealed the enrichment of CD8 + T cells (red) in the myocardium of MC mice at day 7. Scale bar, 275 μm. (D-E) The histogram of proportion of CD8 + T cells in PBMCs (D) and spleens (E) of MC mice and control mice at day 7. (F-J) The expression of cytotoxic genes GZMA (F) , GZMB (G) , Perforin (H) , IFN-γ (I) and TNF-α (J) was significantly upregulated in splenic CD8 + T cells of MC mice compared with that in control mice tested by qRT-PCR. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 3 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Article Snippet: For paraffin-embedded mouse myocardial tissue sections, the samples were dewaxed, permeabilizated, blocked, and stained overnight at 4° with CXCR4 Monoclonal antibody (1:200; 60042-1-Ig, Proteintech, Wuhan, China) or Recombinant Anti-CD8 alpha Rabbit mAb (1:50; GB15068-100, Servicebio, Wuhan, China) after PBS washing, the sections were incubated with CoraLite488-conjugated goat anti-mouse (1:200; SA00013-1, Proteintech, Wuhan, China) or Alexa Fluor594-conjugated goat anti-rabbit antibody (1:200; GB28301, Servicebio, Wuhan, China) for 1 h at room temperature.

Techniques: Flow Cytometry, Control, Immunofluorescence, Expressing, Quantitative RT-PCR

Depleting CD8 + T cells in CVB3-induced viral myocarditis. (A) The clear efficiency of CD8 + T cells confirmed by flow cytometry. ( B ) Schematic workflow of CD8 + T cell deletion. (C) Weight changes of mice in different groups during the experimental process. (D) Representative echocardiographic image of different groups. (E-F) The ejection fraction (E) and fraction shortening (F) change of three groups. (G) Representative HE staining images in different groups. Scale bar, 20 μm. (H) Tunel staining revealed cell apoptosis in the myocardium in different groups. Broken DNA was labeled with CF488 (green). Nuclei were stained with DAPI (blue). Scale bar, 50 μm. (I-J) The plasma expression level of cardiac troponin T(cTnT) (I) and TNF-α (J) in different group. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 5 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Journal: Journal of Translational Medicine

Article Title: CXCL12/CXCR4 axis mediates CD8 + T cell overactivation in the progression of viral myocarditis

doi: 10.1186/s12967-025-06394-6

Figure Lengend Snippet: Depleting CD8 + T cells in CVB3-induced viral myocarditis. (A) The clear efficiency of CD8 + T cells confirmed by flow cytometry. ( B ) Schematic workflow of CD8 + T cell deletion. (C) Weight changes of mice in different groups during the experimental process. (D) Representative echocardiographic image of different groups. (E-F) The ejection fraction (E) and fraction shortening (F) change of three groups. (G) Representative HE staining images in different groups. Scale bar, 20 μm. (H) Tunel staining revealed cell apoptosis in the myocardium in different groups. Broken DNA was labeled with CF488 (green). Nuclei were stained with DAPI (blue). Scale bar, 50 μm. (I-J) The plasma expression level of cardiac troponin T(cTnT) (I) and TNF-α (J) in different group. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 5 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Article Snippet: For paraffin-embedded mouse myocardial tissue sections, the samples were dewaxed, permeabilizated, blocked, and stained overnight at 4° with CXCR4 Monoclonal antibody (1:200; 60042-1-Ig, Proteintech, Wuhan, China) or Recombinant Anti-CD8 alpha Rabbit mAb (1:50; GB15068-100, Servicebio, Wuhan, China) after PBS washing, the sections were incubated with CoraLite488-conjugated goat anti-mouse (1:200; SA00013-1, Proteintech, Wuhan, China) or Alexa Fluor594-conjugated goat anti-rabbit antibody (1:200; GB28301, Servicebio, Wuhan, China) for 1 h at room temperature.

Techniques: Flow Cytometry, Staining, TUNEL Assay, Labeling, Clinical Proteomics, Expressing

Adoptive transfer of CD8 + T cells in CVB3-induced viral myocarditis. (A-B) Schematic workflow of CD8 + T cell transfer. (C) Weight changes of mice in different groups during the experimental process. (D) Representative echocardiographic image of different groups. (E) The ejection fraction (Left) and fraction shortening (Right) change of three groups. (F) Representative HE staining images in different groups. Scale bar, 20 μm. (G) The plasma expression level of cardiac troponin T(cTnT) (Left) and TNF-α (Right) in different group. (H) Tunel staining revealed the cell apoptosis in the myocardium of mice in different groups. Broken DNA was labeled with CF488 (green). Nuclei were stained with DAPI (blue). Scale bar, 50 μm. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 5 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Journal: Journal of Translational Medicine

Article Title: CXCL12/CXCR4 axis mediates CD8 + T cell overactivation in the progression of viral myocarditis

doi: 10.1186/s12967-025-06394-6

Figure Lengend Snippet: Adoptive transfer of CD8 + T cells in CVB3-induced viral myocarditis. (A-B) Schematic workflow of CD8 + T cell transfer. (C) Weight changes of mice in different groups during the experimental process. (D) Representative echocardiographic image of different groups. (E) The ejection fraction (Left) and fraction shortening (Right) change of three groups. (F) Representative HE staining images in different groups. Scale bar, 20 μm. (G) The plasma expression level of cardiac troponin T(cTnT) (Left) and TNF-α (Right) in different group. (H) Tunel staining revealed the cell apoptosis in the myocardium of mice in different groups. Broken DNA was labeled with CF488 (green). Nuclei were stained with DAPI (blue). Scale bar, 50 μm. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 5 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Article Snippet: For paraffin-embedded mouse myocardial tissue sections, the samples were dewaxed, permeabilizated, blocked, and stained overnight at 4° with CXCR4 Monoclonal antibody (1:200; 60042-1-Ig, Proteintech, Wuhan, China) or Recombinant Anti-CD8 alpha Rabbit mAb (1:50; GB15068-100, Servicebio, Wuhan, China) after PBS washing, the sections were incubated with CoraLite488-conjugated goat anti-mouse (1:200; SA00013-1, Proteintech, Wuhan, China) or Alexa Fluor594-conjugated goat anti-rabbit antibody (1:200; GB28301, Servicebio, Wuhan, China) for 1 h at room temperature.

Techniques: Adoptive Transfer Assay, Staining, Clinical Proteomics, Expressing, TUNEL Assay, Labeling

CXCL12/CXCR4 axis promoted the cytotoxicity of CD8 + T cells. (A) Volcano plot exhibiting the top five upregulated and downregulated genes of CD8 + T cells in FM acute phase compared with control. Red refers to upregulated genes, blue refers to downregulated genes. ( B ) Violin plots showing the expression of CXCR4 in three groups. (C-D) The expression of CXCR4 in splenic CD8 + T cells (C) and heart (D) of mice in MC group and control group tested by qRT-PCR. ( n = 5) (E) The expression of CXCL12 in the heart of mice in two groups tested by qRT-PCR. (F) The expression of CXCL12 in HL-1 cells stimulated by CVB3 or not, tested by qRT-PCR. (G) The level of CXCL12 in the supernatant of HL-1 cells stimulated by CVB3 or not, tested by ELISA. (H) Immunofluorescence revealed the colocalization of CXCR4 (green) and CD8 + T cells (red) in the myocardium of MC mice at day 7. Nuclei were stained with DAPI (blue). Scale bar, 275 μm. (I-M) The expression of effective factors GZMA (I) , GZMB (J) , Perforin ( K ) and IFN-γ ( L ) in CD8 + T cells stimulated with three different conditions in vitro. Statistic analysis is shown in M . (N-O) The apoptosis rate of HL-1 cells co-cultured with CD8 + T cells under three different conditions, or with PBS in vitro. (P) The level of CXCL12 in serum of FM patients and healthy controls tested by ELISA. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 3 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001 (Student’s t-test)

Journal: Journal of Translational Medicine

Article Title: CXCL12/CXCR4 axis mediates CD8 + T cell overactivation in the progression of viral myocarditis

doi: 10.1186/s12967-025-06394-6

Figure Lengend Snippet: CXCL12/CXCR4 axis promoted the cytotoxicity of CD8 + T cells. (A) Volcano plot exhibiting the top five upregulated and downregulated genes of CD8 + T cells in FM acute phase compared with control. Red refers to upregulated genes, blue refers to downregulated genes. ( B ) Violin plots showing the expression of CXCR4 in three groups. (C-D) The expression of CXCR4 in splenic CD8 + T cells (C) and heart (D) of mice in MC group and control group tested by qRT-PCR. ( n = 5) (E) The expression of CXCL12 in the heart of mice in two groups tested by qRT-PCR. (F) The expression of CXCL12 in HL-1 cells stimulated by CVB3 or not, tested by qRT-PCR. (G) The level of CXCL12 in the supernatant of HL-1 cells stimulated by CVB3 or not, tested by ELISA. (H) Immunofluorescence revealed the colocalization of CXCR4 (green) and CD8 + T cells (red) in the myocardium of MC mice at day 7. Nuclei were stained with DAPI (blue). Scale bar, 275 μm. (I-M) The expression of effective factors GZMA (I) , GZMB (J) , Perforin ( K ) and IFN-γ ( L ) in CD8 + T cells stimulated with three different conditions in vitro. Statistic analysis is shown in M . (N-O) The apoptosis rate of HL-1 cells co-cultured with CD8 + T cells under three different conditions, or with PBS in vitro. (P) The level of CXCL12 in serum of FM patients and healthy controls tested by ELISA. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 3 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001 (Student’s t-test)

Article Snippet: For paraffin-embedded mouse myocardial tissue sections, the samples were dewaxed, permeabilizated, blocked, and stained overnight at 4° with CXCR4 Monoclonal antibody (1:200; 60042-1-Ig, Proteintech, Wuhan, China) or Recombinant Anti-CD8 alpha Rabbit mAb (1:50; GB15068-100, Servicebio, Wuhan, China) after PBS washing, the sections were incubated with CoraLite488-conjugated goat anti-mouse (1:200; SA00013-1, Proteintech, Wuhan, China) or Alexa Fluor594-conjugated goat anti-rabbit antibody (1:200; GB28301, Servicebio, Wuhan, China) for 1 h at room temperature.

Techniques: Control, Expressing, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay, Immunofluorescence, Staining, In Vitro, Cell Culture

CXCR4 blockade reduced CD8 + T cell accumulation in the heart. (A) Immunofluorescence revealed the infiltration of CD8 + T cells (red) in the myocardium among control group, MC group and CXCR4 blockade group. (B) The expression of CXCR4 in the heart of three groups tested by qRT-PCR. (C-G) The expression of cytotoxic genes GZMA (C) , GZMB (D) , Perforin (E) , IFN-γ (F) and TNF-α (G) were significantly decreased in splenic CD8 + T cells in CXCR4 blockade mice compared with that in MC mice tested by qRT-PCR. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 3–5 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Journal: Journal of Translational Medicine

Article Title: CXCL12/CXCR4 axis mediates CD8 + T cell overactivation in the progression of viral myocarditis

doi: 10.1186/s12967-025-06394-6

Figure Lengend Snippet: CXCR4 blockade reduced CD8 + T cell accumulation in the heart. (A) Immunofluorescence revealed the infiltration of CD8 + T cells (red) in the myocardium among control group, MC group and CXCR4 blockade group. (B) The expression of CXCR4 in the heart of three groups tested by qRT-PCR. (C-G) The expression of cytotoxic genes GZMA (C) , GZMB (D) , Perforin (E) , IFN-γ (F) and TNF-α (G) were significantly decreased in splenic CD8 + T cells in CXCR4 blockade mice compared with that in MC mice tested by qRT-PCR. Unpaired t-test was used for analysis. Data are presented as mean ± SD ( n = 3–5 biologically independent samples). * p < 0.05; ** p < 0.01; *** p < 0.001

Article Snippet: For paraffin-embedded mouse myocardial tissue sections, the samples were dewaxed, permeabilizated, blocked, and stained overnight at 4° with CXCR4 Monoclonal antibody (1:200; 60042-1-Ig, Proteintech, Wuhan, China) or Recombinant Anti-CD8 alpha Rabbit mAb (1:50; GB15068-100, Servicebio, Wuhan, China) after PBS washing, the sections were incubated with CoraLite488-conjugated goat anti-mouse (1:200; SA00013-1, Proteintech, Wuhan, China) or Alexa Fluor594-conjugated goat anti-rabbit antibody (1:200; GB28301, Servicebio, Wuhan, China) for 1 h at room temperature.

Techniques: Immunofluorescence, Control, Expressing, Quantitative RT-PCR

OH2-FLT3L induced tumor dendritic cell and T cell infiltration, stimulating an increase in the proportion of immune effector cells in the spleen (A) Representative IHC staining results for CD3, CD4, CD8, and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. Scale bar, 100 μm; n = 5 samples per group. (B) Positive cell rates for CD3, CD4, CD8, and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. n = 5 samples per group; proportions represent the percentage of cells relative to the total cell count. (C–J) After treatment completion, splenic lymphocytes were isolated from mice and prepared as single-cell suspensions for flow cytometry analysis of T cell subtypes (C–E), DCs (defined as Gr-1-MHC II + CD11c+CD11b+) (F), NK cells (defined as CD3-CD49b+) (G), Gr-1+CD11b+ myeloid cells (defined as Gr-1+CD11b+) (H), and memory T cells (defined as CD4+CD44+ or CD8+CD44+) (I and J). Data are presented as individual independent replicates. Error bars represent the SEM, and statistical analysis was conducted using multiple comparisons ANOVA. ns indicates no significant differences; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001. Collectively, these results suggested that OH2-FLT3L effectively inhibited tumor growth, enhanced antitumor immune responses, and promoted the formation of immune memory in vivo .

Journal: Molecular Therapy Oncology

Article Title: Engineered oncolytic virus OH2-FLT3L enhances antitumor immunity via dendritic cell activation

doi: 10.1016/j.omton.2025.200975

Figure Lengend Snippet: OH2-FLT3L induced tumor dendritic cell and T cell infiltration, stimulating an increase in the proportion of immune effector cells in the spleen (A) Representative IHC staining results for CD3, CD4, CD8, and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. Scale bar, 100 μm; n = 5 samples per group. (B) Positive cell rates for CD3, CD4, CD8, and CD11c in the OH2-FLT3L treatment group, OH2 treatment group, and PBS control group. n = 5 samples per group; proportions represent the percentage of cells relative to the total cell count. (C–J) After treatment completion, splenic lymphocytes were isolated from mice and prepared as single-cell suspensions for flow cytometry analysis of T cell subtypes (C–E), DCs (defined as Gr-1-MHC II + CD11c+CD11b+) (F), NK cells (defined as CD3-CD49b+) (G), Gr-1+CD11b+ myeloid cells (defined as Gr-1+CD11b+) (H), and memory T cells (defined as CD4+CD44+ or CD8+CD44+) (I and J). Data are presented as individual independent replicates. Error bars represent the SEM, and statistical analysis was conducted using multiple comparisons ANOVA. ns indicates no significant differences; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001. Collectively, these results suggested that OH2-FLT3L effectively inhibited tumor growth, enhanced antitumor immune responses, and promoted the formation of immune memory in vivo .

Article Snippet: The following primary antibodies were used: Recombinant Anti-CD3 antibody (Rabbit mAb, Servicebio, GB151137) at a dilution of 1:1,000, Recombinant Anti-CD4 antibody (Rabbit mAb, Servicebio, GB15064) at a dilution of 1:200, Recombinant Anti-CD8 alpha antibody (Rabbit mAb, Servicebio, GB15068) at a dilution of 1:400, and Anti-CD11c Rabbit pAb (Servicebio, GB11059) at a dilution of 1:200.

Techniques: Immunohistochemistry, Control, Cell Counting, Isolation, Flow Cytometry, In Vivo

Single-cell sequencing revealed the tumor immune microenvironment in tumor tissues from different treatment groups (A) Clustering of various cell types across single-cell data in the overall dataset and in each treatment group. SMC: smooth muscle cell. (B) Proportions of different immune cell subsets in the single-cell data. (C and D) Proportions of Tex CD8+T cells and naive CD8+ T cells in each treatment group. (E–G) Network diagrams showing differences in interaction strength between T and NK cells among treatment groups. Tcm CD8+T: central memory CD8+ T cells; Trm CD4+ T: tissue-resident memory CD4+ T cells; Treg CD4+T: regulatory CD4+ T cells. (H–J) Heatmaps illustrate differences in interaction intensity between T and NK cells across treatment groups. n = 3 mice per group, with each biological sample generating two independent FASTQ files. Statistical significance was determined using an independent samples t test. ns indicates no significant differences; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001.

Journal: Molecular Therapy Oncology

Article Title: Engineered oncolytic virus OH2-FLT3L enhances antitumor immunity via dendritic cell activation

doi: 10.1016/j.omton.2025.200975

Figure Lengend Snippet: Single-cell sequencing revealed the tumor immune microenvironment in tumor tissues from different treatment groups (A) Clustering of various cell types across single-cell data in the overall dataset and in each treatment group. SMC: smooth muscle cell. (B) Proportions of different immune cell subsets in the single-cell data. (C and D) Proportions of Tex CD8+T cells and naive CD8+ T cells in each treatment group. (E–G) Network diagrams showing differences in interaction strength between T and NK cells among treatment groups. Tcm CD8+T: central memory CD8+ T cells; Trm CD4+ T: tissue-resident memory CD4+ T cells; Treg CD4+T: regulatory CD4+ T cells. (H–J) Heatmaps illustrate differences in interaction intensity between T and NK cells across treatment groups. n = 3 mice per group, with each biological sample generating two independent FASTQ files. Statistical significance was determined using an independent samples t test. ns indicates no significant differences; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001.

Article Snippet: The following primary antibodies were used: Recombinant Anti-CD3 antibody (Rabbit mAb, Servicebio, GB151137) at a dilution of 1:1,000, Recombinant Anti-CD4 antibody (Rabbit mAb, Servicebio, GB15064) at a dilution of 1:200, Recombinant Anti-CD8 alpha antibody (Rabbit mAb, Servicebio, GB15068) at a dilution of 1:400, and Anti-CD11c Rabbit pAb (Servicebio, GB11059) at a dilution of 1:200.

Techniques: Sequencing

A. Numbers of CD8a + cells were normalized to an area of 10 5 µm 2 for each analyzed tumor; black bars indicate mean values ± SEM for each treatment group; SHAM-IR n=5, CDR n=11, UHDR n=10. B-F) Percentages of splenic immune cell populations; No tumor n=5, SHAM-IR n=8, CDR n=6, UHDR n=6. Black bars indicate mean values ± SEM for each treatment group for B: mature dendritic cells, C: mature NK cells, D: cytotoxic T-cells, E: regulatory T-cells and F: helper T-cells. The p-values (Kruskal-Wallis test) are indicated individually.

Journal: bioRxiv

Article Title: FLASH Bragg-peak irradiation with a therapeutic carbon ion beam: first in vivo results

doi: 10.1101/2024.07.12.603197

Figure Lengend Snippet: A. Numbers of CD8a + cells were normalized to an area of 10 5 µm 2 for each analyzed tumor; black bars indicate mean values ± SEM for each treatment group; SHAM-IR n=5, CDR n=11, UHDR n=10. B-F) Percentages of splenic immune cell populations; No tumor n=5, SHAM-IR n=8, CDR n=6, UHDR n=6. Black bars indicate mean values ± SEM for each treatment group for B: mature dendritic cells, C: mature NK cells, D: cytotoxic T-cells, E: regulatory T-cells and F: helper T-cells. The p-values (Kruskal-Wallis test) are indicated individually.

Article Snippet: To stain for CD8 alpha positive cells, tumor slices were processed with rabbit recombinant anti-CD8 alpha (monoclonal, ab209775, Abcam) as primary antibody as previously described ( , ).

Techniques: