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magcellect human cd8 t cell isolation kit  (R&D Systems)


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    R&D Systems magcellect human cd8 t cell isolation kit
    Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and <t>CD8</t> + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.
    Magcellect Human Cd8 T Cell Isolation Kit, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 10 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/magcellect+human+cd8+t+cell+isolation+kit/MagCellect+Human+CD8%2B+T+Cell+Isolation+Kit/pmc12878432-40-20-28
    Average 94 stars, based on 10 article reviews
    magcellect human cd8 t cell isolation kit - by Bioz Stars, 2026-10
    94/100 stars

    Images

    1) Product Images from "Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer"

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    Journal: Journal for Immunotherapy of Cancer

    doi: 10.1136/jitc-2025-013809

    Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.
    Figure Legend Snippet: Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.

    Techniques Used: Inhibition, Immunohistochemistry, Expressing, RNA Sequencing, Activation Assay, Staining, Control, Flow Cytometry, Two Tailed Test, Binding Assay, Multiplex Assay

    Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.
    Figure Legend Snippet: Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.

    Techniques Used: Single Cell, RNA Sequencing, Expressing, Injection, Control, Two Tailed Test, Comparison, Multiplex Assay, Immunohistochemistry

    RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.
    Figure Legend Snippet: RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.

    Techniques Used: Inhibition, Expressing, Cell Culture, Staining, In Vitro, Migration, Membrane, Flow Cytometry, Injection, Two Tailed Test, Comparison, Binding Assay, Single Cell, RNA Sequencing, Immunohistochemistry, Multiplex Assay

    RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.
    Figure Legend Snippet: RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.

    Techniques Used: Inhibition, Expressing, Flow Cytometry, Fluorescence, Injection, Staining, Two Tailed Test, Comparison, Binding Assay, Immunohistochemistry, Multiplex Assay

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    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer
    Article Snippet: .. Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols. ..

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    Gradient Centrifugation:

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer
    Article Snippet: .. Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols. ..

    Article Title: Tumor-intrinsic ENO1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD-L1 immunotherapy in bladder cancer
    Article Snippet: .. Peripheral blood mononuclear cells were isolated using Ficoll density gradient centrifugation, CD8 + T cells were then enriched using the MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) following the instructions provided by the manufacturer. ..

    Article Title: Tumor-intrinsic ENO1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD-L1 immunotherapy in bladder cancer.
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    Cell Isolation:

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer
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    Article Snippet: .. Peripheral blood mononuclear cells were isolated using Ficoll density gradient centrifugation, CD8+ T cells were then enriched using the MagCellect Human CD8+ T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8+ T Cell Isolation Kit (R&D Systems) following the instructions provided by the manufacturer. ..

    Magnetic Cell Separation:

    Article Title: Supporting Information for Tumor-Neutrophil Crosstalk Orchestrates the Tumor Microenvironment to Determine the Bladder Cancer Progression
    Article Snippet: .. Human peripheral blood-derived T cells and mouse spleen-derived T cells were MACS-sorted using the MagCellect Human CD8+ T-Cell Isolation Kit (R&D Systems) and MagCellect Mouse CD8+ T-Cell Isolation Kit (R&D Systems) according to the protocols. ..

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    Article Title: Tumor-associated macrophage enhances PD-L1-mediated immune escape of bladder cancer through PKM2 dimer/STAT3 complex nuclear translocation
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    94
    R&D Systems themagcellect human cd8þ tcell isolation kit
    Figure 1. Erdafitinib and infigratinib inhibit bladder tumor growth and induce T-cell suppression accompanied with PD-L1 upregulation in mice. A and B, The overview of experimental plan in Luciþ MB49 tumor-bearing C57BL/6 (A) and nude (B) mice model. C and D, Bioluminescence images of Luciþ MB49 tumor-bearing mice model in different groups. E and F, Quantification of bioluminescence intensity (mean SD, n ¼ 5). G and H, Macroscopic images of excised bladder tumors. Scale bars, 1 cm. I and J, Tumor weight after erdafitinib and infigratinib treatment (mean SD, n ¼ 5). K and L, Ultrasound images of orthotopic bladder tumors (red dash lines), hematoxylin and eosin (H&E)–stained sections of tumors, and immunofluorescence images of the indicated markers for Ki67 (red), cytokine 7 (green), and DAPI (blue) in C57BL/6 and nude mice. Scale bars in ultrasound images, 2 mm, 500 mm for hematoxylin and eosin staining, and 20 mm for immunofluorescence images. M, PD-L1 t-SNE plots of gated flow cytometrydata generated bycells in tumor tissue from erdafitinib and infigratinib treatment. Numbers on the right edge represent the proportion of PD-L1 positive cells. N, Plot showing the proportion of PD-L1 positive cells (mean SD, n ¼ 3). O, Intratumoral CD3þCD8þ T-cell proportions were analyzed by flow cytometry. P, Plot showing the proportion of tumor-infiltrating CD3þCD8þ T cells in tumor-bearing mice with different treatment (mean SD, n ¼ 3). Q, Flow cytometry analysis showing the granzyme B–positive ratio of <t>CD8þ</t> T cells in tumor (mean SD, n ¼ 3). R, Statistical diagram showing the granzyme B–positive ratio in CD8þ T cells (left) and granzyme Bþ CD8þ T cells (right) in tumor (mean SD, n ¼ 3). S, Flow cytometry analysis showing the TNFa-positive ratio of CD8þ T cells in tumor (mean SD, n ¼ 3). T, Statistical diagram showing the TNFa-positive ratio of CD3þCD8þ T cells (left) and TNFaþ CD8þ T cells (right) in tumor (mean SD, n ¼ 3). , P < 0.01; , P < 0.001; , P < 0.0001; one-way ANOVA.
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    Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Inhibition, Immunohistochemistry, Expressing, RNA Sequencing, Activation Assay, Staining, Control, Flow Cytometry, Two Tailed Test, Binding Assay, Multiplex Assay

    Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Single Cell, RNA Sequencing, Expressing, Injection, Control, Two Tailed Test, Comparison, Multiplex Assay, Immunohistochemistry

    RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Inhibition, Expressing, Cell Culture, Staining, In Vitro, Migration, Membrane, Flow Cytometry, Injection, Two Tailed Test, Comparison, Binding Assay, Single Cell, RNA Sequencing, Immunohistochemistry, Multiplex Assay

    RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Inhibition, Expressing, Flow Cytometry, Fluorescence, Injection, Staining, Two Tailed Test, Comparison, Binding Assay, Immunohistochemistry, Multiplex Assay

    Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Inhibition, Immunohistochemistry, Expressing, RNA Sequencing, Activation Assay, Staining, Control, Flow Cytometry, Two Tailed Test, Binding Assay, Multiplex Assay

    Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Single Cell, RNA Sequencing, Expressing, Injection, Control, Two Tailed Test, Comparison, Multiplex Assay, Immunohistochemistry

    RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Inhibition, Expressing, Cell Culture, Staining, In Vitro, Migration, Membrane, Flow Cytometry, Injection, Two Tailed Test, Comparison, Binding Assay, Single Cell, RNA Sequencing, Immunohistochemistry, Multiplex Assay

    RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

    doi: 10.1136/jitc-2025-013809

    Figure Lengend Snippet: RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.

    Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

    Techniques: Inhibition, Expressing, Flow Cytometry, Fluorescence, Injection, Staining, Two Tailed Test, Comparison, Binding Assay, Immunohistochemistry, Multiplex Assay

    Figure 1. Erdafitinib and infigratinib inhibit bladder tumor growth and induce T-cell suppression accompanied with PD-L1 upregulation in mice. A and B, The overview of experimental plan in Luciþ MB49 tumor-bearing C57BL/6 (A) and nude (B) mice model. C and D, Bioluminescence images of Luciþ MB49 tumor-bearing mice model in different groups. E and F, Quantification of bioluminescence intensity (mean SD, n ¼ 5). G and H, Macroscopic images of excised bladder tumors. Scale bars, 1 cm. I and J, Tumor weight after erdafitinib and infigratinib treatment (mean SD, n ¼ 5). K and L, Ultrasound images of orthotopic bladder tumors (red dash lines), hematoxylin and eosin (H&E)–stained sections of tumors, and immunofluorescence images of the indicated markers for Ki67 (red), cytokine 7 (green), and DAPI (blue) in C57BL/6 and nude mice. Scale bars in ultrasound images, 2 mm, 500 mm for hematoxylin and eosin staining, and 20 mm for immunofluorescence images. M, PD-L1 t-SNE plots of gated flow cytometrydata generated bycells in tumor tissue from erdafitinib and infigratinib treatment. Numbers on the right edge represent the proportion of PD-L1 positive cells. N, Plot showing the proportion of PD-L1 positive cells (mean SD, n ¼ 3). O, Intratumoral CD3þCD8þ T-cell proportions were analyzed by flow cytometry. P, Plot showing the proportion of tumor-infiltrating CD3þCD8þ T cells in tumor-bearing mice with different treatment (mean SD, n ¼ 3). Q, Flow cytometry analysis showing the granzyme B–positive ratio of CD8þ T cells in tumor (mean SD, n ¼ 3). R, Statistical diagram showing the granzyme B–positive ratio in CD8þ T cells (left) and granzyme Bþ CD8þ T cells (right) in tumor (mean SD, n ¼ 3). S, Flow cytometry analysis showing the TNFa-positive ratio of CD8þ T cells in tumor (mean SD, n ¼ 3). T, Statistical diagram showing the TNFa-positive ratio of CD3þCD8þ T cells (left) and TNFaþ CD8þ T cells (right) in tumor (mean SD, n ¼ 3). , P < 0.01; , P < 0.001; , P < 0.0001; one-way ANOVA.

    Journal: Cancer Research

    Article Title: FGFR3 Destabilizes PD-L1 via NEDD4 to Control T-cell–Mediated Bladder Cancer Immune Surveillance

    doi: 10.1158/0008-5472.can-21-2362

    Figure Lengend Snippet: Figure 1. Erdafitinib and infigratinib inhibit bladder tumor growth and induce T-cell suppression accompanied with PD-L1 upregulation in mice. A and B, The overview of experimental plan in Luciþ MB49 tumor-bearing C57BL/6 (A) and nude (B) mice model. C and D, Bioluminescence images of Luciþ MB49 tumor-bearing mice model in different groups. E and F, Quantification of bioluminescence intensity (mean SD, n ¼ 5). G and H, Macroscopic images of excised bladder tumors. Scale bars, 1 cm. I and J, Tumor weight after erdafitinib and infigratinib treatment (mean SD, n ¼ 5). K and L, Ultrasound images of orthotopic bladder tumors (red dash lines), hematoxylin and eosin (H&E)–stained sections of tumors, and immunofluorescence images of the indicated markers for Ki67 (red), cytokine 7 (green), and DAPI (blue) in C57BL/6 and nude mice. Scale bars in ultrasound images, 2 mm, 500 mm for hematoxylin and eosin staining, and 20 mm for immunofluorescence images. M, PD-L1 t-SNE plots of gated flow cytometrydata generated bycells in tumor tissue from erdafitinib and infigratinib treatment. Numbers on the right edge represent the proportion of PD-L1 positive cells. N, Plot showing the proportion of PD-L1 positive cells (mean SD, n ¼ 3). O, Intratumoral CD3þCD8þ T-cell proportions were analyzed by flow cytometry. P, Plot showing the proportion of tumor-infiltrating CD3þCD8þ T cells in tumor-bearing mice with different treatment (mean SD, n ¼ 3). Q, Flow cytometry analysis showing the granzyme B–positive ratio of CD8þ T cells in tumor (mean SD, n ¼ 3). R, Statistical diagram showing the granzyme B–positive ratio in CD8þ T cells (left) and granzyme Bþ CD8þ T cells (right) in tumor (mean SD, n ¼ 3). S, Flow cytometry analysis showing the TNFa-positive ratio of CD8þ T cells in tumor (mean SD, n ¼ 3). T, Statistical diagram showing the TNFa-positive ratio of CD3þCD8þ T cells (left) and TNFaþ CD8þ T cells (right) in tumor (mean SD, n ¼ 3). , P < 0.01; , P < 0.001; , P < 0.0001; one-way ANOVA.

    Article Snippet: Enrichment of CD8þT cells was performed bymagnetic cell sorting (MACS) using theMagCellect Human CD8þ TCell Isolation Kit (R&D Systems) and MagCellect Mouse CD8þ T Cell Isolation Kit (R&D Systems) following the manufacturer’s instructions.

    Techniques: Staining, Generated, Cytometry, Flow Cytometry