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cd8 t cell isolation beads  (MedChemExpress)


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    MedChemExpress cd8 t cell isolation beads
    Cd8 T Cell Isolation Beads, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 94/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    TSPAN13 as a negative regulator of <t>CD8</t> + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .
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    TSPAN13 as a negative regulator of <t>CD8</t> + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .
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    TSPAN13 as a negative regulator of <t>CD8</t> + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .
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    TSPAN13 as a negative regulator of <t>CD8</t> + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .
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    TSPAN13 as a negative regulator of <t>CD8</t> + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .
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    TSPAN13 as a negative regulator of <t>CD8</t> + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .
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    TSPAN13 as a negative regulator of CD8 + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .

    Journal: Cancer Research

    Article Title: Tetraspanin 13 Enhances Immune Evasion in Breast Cancer by Promoting MHC-I Degradation

    doi: 10.1158/0008-5472.CAN-25-1223

    Figure Lengend Snippet: TSPAN13 as a negative regulator of CD8 + T-cell infiltration in breast cancer. A, Workflow for identifying negative regulators of activated CD8 + T cells and effector memory CD8 + T cells. B, The Venn diagram illustrates the intersection of differentially expressed genes between the TCGA-BRCA and GSE20685 datasets. C–F, Correlation between TSPAN13 levels (top 25% vs. bottom 25% samples) and CD8A expression across different breast cancer subtypes ( C, basal-like, n = 89 per group; D, HER2 + , n = 42 per group; E, luminal A, n = 255 per group; F, luminal B, n = 101 per group). G and H, Kaplan–Meier survival curves (log-rank test) were used to compare the survival of patients with high and low TSPAN13 expression in HER2 + ( n = 36 per group; G ) and basal-like ( n = 84; H ) breast cancer subtypes. I and J, Prognostic predictive value of TSPAN13 expression in HER2 + ( I ) and basal-like ( J ) breast cancer subtypes. K, IHC staining was used to analyze the expression pattern of TSPAN13 in the TME of both human samples and the MMTV-PyMT mouse model (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). L, Left, representative IHC staining images of TSPAN13 and CD8α in human breast cancer tissues (low magnification scale bar, 100 μm; high magnification scale bar, 50 μm). Right, CD8 + T-cell density (cells/mm 2 ) in the TME was compared between samples with low and high TSPAN13 expression ( n = 60 per group, Wilcoxon rank-sum test). M and N, The effect of Tspan13 knockdown on the growth of orthotopically implanted 4T1 breast tumors in BALB/c nude mice. Tumor volume ( M ) and tumor images and tumor weight ( N ) are shown. n = 5 per group, mean ± SD; two-way ANOVA ( M ); two-tailed t test ( N ). O and P, Evaluation of the effect of CD8 + T-cell blockade on tumor growth in orthotopic breast tumor models using 4T1 cells with different TSPAN13 expression levels O, tumor volume, n = 5; two-way ANOVA; P, tumor size and tumor weight, n = 5 per group, two-tailed t test, mean ± SD. n.s., not significant. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ydc9cdo .

    Article Snippet: Primary CD8 + T cells were isolated from the spleens of OT-1 mice using CD8 + T-cell isolation beads (Miltenyi Biotec, cat. #130-104-453).

    Techniques: Expressing, Immunohistochemistry, Knockdown, Two Tailed Test

    TSPAN13 restricts CD8 + T-cell activation and effector functions by impairing antigen presentation. A–C, Flow cytometry was used to assess the surface expression levels of MHC-I in MDA-MB-468 ( A ), 4T1 ( B ), and E0771 ( C ) cells under different TSPAN13 expression levels, with or without IFNγ stimulation. n = 3 per group; mean ± SD; one-way ANOVA, multiple comparisons with the Tukey method. D, Flow cytometry was used to assess the surface expression levels of H-2Kb SIINFEKL in E0771-OVA cells under different TSPAN13 expression levels, with or without IFNγ stimulation. n = 3 per group; mean ± SD; two-tailed t test, one-way ANOVA, multiple comparisons with Tukey method. E, Schematic of the coculture setup between OT-1 CD8 + T cells and OVA-expressing mouse tumor cells. F–J, Quantification of CD69 + ( F ), IFNγ + ( G ), TNFα + ( H ), and GZMB + ( I ) CD8 + T cells by flow cytometry. Naive OT-I T cells were cocultured with sh-NC/sh- Tspan13 –expressing E0771-OVA cells at a ratio of 2.5:1 (T cells: E0771-OVA cells) for 24 hours. n = 3 per group; mean ± SD; two-tailed t test ( J ). K, ELISPOT assay was used to evaluate the ability of CD8 + T cells, isolated from the spleens of mice on day 18 after transplantation of sh-NC or sh- Tspan13 E0771-OVA cells into immunocompetent mice, to produce IFNγ in response to SIINFEKL stimulation. n = 3 per group; mean ± SD; two-tailed t test. L, In vitro cytotoxicity assay to evaluate the killing effect of activated OT-I T cells on Tspan13 knockdown or control E0771-OVA cells. n = 3 per group; two-way ANOVA. E:T, effector-to-target ratio. M, Naïve OT-1 CD8 + T cells were cocultured with E0771-OVA cells in the presence of H-2Kb-SIINFEKL antibodies or IgG control antibodies for 48 hours. OT-1 cell proliferation was assessed using the CellTrace Violet Cell Proliferation Kit. n = 3 per group; mean ± SD; one-way ANOVA, multiple comparisons with Tukey method. E, Created in BioRender. Liu, Y. (2025). https://BioRender.com/kmvwmfr .

    Journal: Cancer Research

    Article Title: Tetraspanin 13 Enhances Immune Evasion in Breast Cancer by Promoting MHC-I Degradation

    doi: 10.1158/0008-5472.CAN-25-1223

    Figure Lengend Snippet: TSPAN13 restricts CD8 + T-cell activation and effector functions by impairing antigen presentation. A–C, Flow cytometry was used to assess the surface expression levels of MHC-I in MDA-MB-468 ( A ), 4T1 ( B ), and E0771 ( C ) cells under different TSPAN13 expression levels, with or without IFNγ stimulation. n = 3 per group; mean ± SD; one-way ANOVA, multiple comparisons with the Tukey method. D, Flow cytometry was used to assess the surface expression levels of H-2Kb SIINFEKL in E0771-OVA cells under different TSPAN13 expression levels, with or without IFNγ stimulation. n = 3 per group; mean ± SD; two-tailed t test, one-way ANOVA, multiple comparisons with Tukey method. E, Schematic of the coculture setup between OT-1 CD8 + T cells and OVA-expressing mouse tumor cells. F–J, Quantification of CD69 + ( F ), IFNγ + ( G ), TNFα + ( H ), and GZMB + ( I ) CD8 + T cells by flow cytometry. Naive OT-I T cells were cocultured with sh-NC/sh- Tspan13 –expressing E0771-OVA cells at a ratio of 2.5:1 (T cells: E0771-OVA cells) for 24 hours. n = 3 per group; mean ± SD; two-tailed t test ( J ). K, ELISPOT assay was used to evaluate the ability of CD8 + T cells, isolated from the spleens of mice on day 18 after transplantation of sh-NC or sh- Tspan13 E0771-OVA cells into immunocompetent mice, to produce IFNγ in response to SIINFEKL stimulation. n = 3 per group; mean ± SD; two-tailed t test. L, In vitro cytotoxicity assay to evaluate the killing effect of activated OT-I T cells on Tspan13 knockdown or control E0771-OVA cells. n = 3 per group; two-way ANOVA. E:T, effector-to-target ratio. M, Naïve OT-1 CD8 + T cells were cocultured with E0771-OVA cells in the presence of H-2Kb-SIINFEKL antibodies or IgG control antibodies for 48 hours. OT-1 cell proliferation was assessed using the CellTrace Violet Cell Proliferation Kit. n = 3 per group; mean ± SD; one-way ANOVA, multiple comparisons with Tukey method. E, Created in BioRender. Liu, Y. (2025). https://BioRender.com/kmvwmfr .

    Article Snippet: Primary CD8 + T cells were isolated from the spleens of OT-1 mice using CD8 + T-cell isolation beads (Miltenyi Biotec, cat. #130-104-453).

    Techniques: Activation Assay, Immunopeptidomics, Flow Cytometry, Expressing, Two Tailed Test, Enzyme-linked Immunospot, Isolation, Transplantation Assay, In Vitro, Cytotoxicity Assay, Knockdown, Control

    Targeting TSPAN13 enhances antigen presentation in tumor cells and boosts antitumor immunity. A, Flow cytometry was used to analyze the surface H-2Kb levels on tumor cells in 4T1 mouse models with varying Tspan13 expression levels. n = 5 per group; mean ± SD; two-tailed t test. B, Flow cytometry was used to analyze the proportions of CD44 + CD62L − , CD44 − CD62L + , and CD44 + CD62 + subsets among tumor-infiltrating T lymphocytes in the 4T1 tumor-bearing mouse model with different levels of TSPAN13 expression. n = 3 per group; two-tailed t test; mean ± SD. C and D, Immunofluorescence ( C ) and flow cytometry ( D ) were used to assess the levels of CD8 + T-cell infiltration in tumor tissues from 4T1 mouse models with different Tspan13 expression levels. n = 5 per group; mean ± SD; two-tailed t test. E–G, Flow cytometry was used to analyze the proportions of IFNγ + ( E ), TNFα + ( F ), and GZMB + ( G ) CD8 + T cells within tumor-infiltrating lymphocytes from 4T1 mouse models following restimulation. n = 5 per group; mean ± SD; two-tailed t test. H–J, mRNA coexpression analysis of IFN γ ( H ), TNF α ( I ), and GZMB ( J ), with TSPAN13 in BRCA . Data were obtained from the TCGA database and analyzed by GEPIA2. K, Schematic representation of the 4T1 mouse model. A total of 1 × 10 5 cells were implanted into the right fourth mammary fat pad of each BALB/c mouse. On day 3 after model establishment, IgG or anti–H-2K mAb was administered via i.p. injection. L–N, Effect of H-2 blockade on tumor growth in orthotopic breast tumor models with varying TSPAN13 expression levels. Tumor volume ( L ), tumor size ( M ), and tumor weight ( N ). n = 4 per group; mean ± SD; two-way ANOVA ( L ); two-tailed t test ( N ). K, Created in BioRender. Liu, Y. (2025). https://BioRender.com/58a7i0v .

    Journal: Cancer Research

    Article Title: Tetraspanin 13 Enhances Immune Evasion in Breast Cancer by Promoting MHC-I Degradation

    doi: 10.1158/0008-5472.CAN-25-1223

    Figure Lengend Snippet: Targeting TSPAN13 enhances antigen presentation in tumor cells and boosts antitumor immunity. A, Flow cytometry was used to analyze the surface H-2Kb levels on tumor cells in 4T1 mouse models with varying Tspan13 expression levels. n = 5 per group; mean ± SD; two-tailed t test. B, Flow cytometry was used to analyze the proportions of CD44 + CD62L − , CD44 − CD62L + , and CD44 + CD62 + subsets among tumor-infiltrating T lymphocytes in the 4T1 tumor-bearing mouse model with different levels of TSPAN13 expression. n = 3 per group; two-tailed t test; mean ± SD. C and D, Immunofluorescence ( C ) and flow cytometry ( D ) were used to assess the levels of CD8 + T-cell infiltration in tumor tissues from 4T1 mouse models with different Tspan13 expression levels. n = 5 per group; mean ± SD; two-tailed t test. E–G, Flow cytometry was used to analyze the proportions of IFNγ + ( E ), TNFα + ( F ), and GZMB + ( G ) CD8 + T cells within tumor-infiltrating lymphocytes from 4T1 mouse models following restimulation. n = 5 per group; mean ± SD; two-tailed t test. H–J, mRNA coexpression analysis of IFN γ ( H ), TNF α ( I ), and GZMB ( J ), with TSPAN13 in BRCA . Data were obtained from the TCGA database and analyzed by GEPIA2. K, Schematic representation of the 4T1 mouse model. A total of 1 × 10 5 cells were implanted into the right fourth mammary fat pad of each BALB/c mouse. On day 3 after model establishment, IgG or anti–H-2K mAb was administered via i.p. injection. L–N, Effect of H-2 blockade on tumor growth in orthotopic breast tumor models with varying TSPAN13 expression levels. Tumor volume ( L ), tumor size ( M ), and tumor weight ( N ). n = 4 per group; mean ± SD; two-way ANOVA ( L ); two-tailed t test ( N ). K, Created in BioRender. Liu, Y. (2025). https://BioRender.com/58a7i0v .

    Article Snippet: Primary CD8 + T cells were isolated from the spleens of OT-1 mice using CD8 + T-cell isolation beads (Miltenyi Biotec, cat. #130-104-453).

    Techniques: Immunopeptidomics, Flow Cytometry, Expressing, Two Tailed Test, Immunofluorescence, Injection

    TSPAN13 ablation enhances immunotherapy efficacy. A, Schematic illustration of the adoptive transfer experiment of OT-1 CD8 + T cells in the E0771-OVA nude mouse model. B, Tumor growth curves of mice receiving adoptive transfer of OT-1 CD8 + T cells. n = 4 per group; two-way ANOVA. C, Representative tumor-bearing mice after treatment. D–G, Association analysis between TSPAN13 expression levels and predicted response to ICIs based on the TCIA cohort. No immunotherapy (PD-1 − /CTLA4 − ; D ), anti–PD-1 therapy (PD-1 + /CTLA4 − ; E ), anti–CTLA4 therapy (PD-1 − /CTLA4 + ; F ), and combination therapy (PD-1 + /CTLA4 + ; G ). n = 546 per group; Wilcoxon rank-sum test. ips, immunophenoscores. H, Schematic representation of the 4T1 mouse model. A total of 1 × 10 5 cells were implanted into the right fourth mammary fat pad of each BALB/c mouse. On day 8 after model establishment, IgG or anti–PD-L1 mAb was administered via i.p. injection. The experiment concluded on day 90 after model establishment. I, Tumor growth curves of mice treated with either anti–PD-L1 or IgG control. n = 7 per group; two-way ANOVA. J, Tumor size in mice on the 28th day after treatment with either anti–PD-L1 or IgG control. K, Survival curves of mice treated with either anti–PD-L1 or IgG control. n = 7 per group; log-rank Mantel–Cox test. L, Immunofluorescence staining was performed to evaluate tumor-infiltrating CD8 + T cells in mice treated with either anti–PD-L1 or IgG control. CD8a was used to label CD8 + T cells, EGFP to identify tumor cells, and DAPI to visualize nuclei. Scale bars, 50 μm. n = 5 mice per group; one-way ANOVA, multiple comparisons with Tukey method. M, Tspan13 expression in breast tumor tissues under different therapeutic regimens. Control group, n = 18; each treatment group, n = 6; Wilcoxon rank-sum test. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/zs6yq0t ; H, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ojwnb3n .

    Journal: Cancer Research

    Article Title: Tetraspanin 13 Enhances Immune Evasion in Breast Cancer by Promoting MHC-I Degradation

    doi: 10.1158/0008-5472.CAN-25-1223

    Figure Lengend Snippet: TSPAN13 ablation enhances immunotherapy efficacy. A, Schematic illustration of the adoptive transfer experiment of OT-1 CD8 + T cells in the E0771-OVA nude mouse model. B, Tumor growth curves of mice receiving adoptive transfer of OT-1 CD8 + T cells. n = 4 per group; two-way ANOVA. C, Representative tumor-bearing mice after treatment. D–G, Association analysis between TSPAN13 expression levels and predicted response to ICIs based on the TCIA cohort. No immunotherapy (PD-1 − /CTLA4 − ; D ), anti–PD-1 therapy (PD-1 + /CTLA4 − ; E ), anti–CTLA4 therapy (PD-1 − /CTLA4 + ; F ), and combination therapy (PD-1 + /CTLA4 + ; G ). n = 546 per group; Wilcoxon rank-sum test. ips, immunophenoscores. H, Schematic representation of the 4T1 mouse model. A total of 1 × 10 5 cells were implanted into the right fourth mammary fat pad of each BALB/c mouse. On day 8 after model establishment, IgG or anti–PD-L1 mAb was administered via i.p. injection. The experiment concluded on day 90 after model establishment. I, Tumor growth curves of mice treated with either anti–PD-L1 or IgG control. n = 7 per group; two-way ANOVA. J, Tumor size in mice on the 28th day after treatment with either anti–PD-L1 or IgG control. K, Survival curves of mice treated with either anti–PD-L1 or IgG control. n = 7 per group; log-rank Mantel–Cox test. L, Immunofluorescence staining was performed to evaluate tumor-infiltrating CD8 + T cells in mice treated with either anti–PD-L1 or IgG control. CD8a was used to label CD8 + T cells, EGFP to identify tumor cells, and DAPI to visualize nuclei. Scale bars, 50 μm. n = 5 mice per group; one-way ANOVA, multiple comparisons with Tukey method. M, Tspan13 expression in breast tumor tissues under different therapeutic regimens. Control group, n = 18; each treatment group, n = 6; Wilcoxon rank-sum test. A, Created in BioRender. Liu, Y. (2025). https://BioRender.com/zs6yq0t ; H, Created in BioRender. Liu, Y. (2025). https://BioRender.com/ojwnb3n .

    Article Snippet: Primary CD8 + T cells were isolated from the spleens of OT-1 mice using CD8 + T-cell isolation beads (Miltenyi Biotec, cat. #130-104-453).

    Techniques: Adoptive Transfer Assay, Expressing, Injection, Control, Immunofluorescence, Staining