invivomab anti human cd8α (Bio X Cell)
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Invivomab Anti Human Cd8α, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 94/100, based on 22 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/anti+human+cd8%CE%B1/pmc13006401-70-0-4?v=Bio+X+Cell
Average 94 stars, based on 22 article reviews
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1) Product Images from "Dual PD-1/IL-2Rα targeting restores CD8 + T cell fitness via STAT5/CD47 axis in SMARCA4-deficient NSCLC"
Article Title: Dual PD-1/IL-2Rα targeting restores CD8 + T cell fitness via STAT5/CD47 axis in SMARCA4-deficient NSCLC
Journal: Cell Reports Medicine
doi: 10.1016/j.xcrm.2026.102633
Figure Legend Snippet: SMARCA4 deficiency impairs CD8 + T cell function and confers resistance to PD-1 blockade in NSCLC (A) Progression-free survival (PFS) of eight patients with SMARCA4-deficient (BRG1-deficient) NSCLC treated with ICIs. (B) Representative axial CT images of a patient (P6) with SMARCA4-deficient NSCLC before and after ICIs treatment. (C) Change in the sum of target lesion diameters for six evaluable patients with SMARCA4-deficient NSCLC from baseline to first radiographic assessment. (D) Schematic of the experimental design for the orthotopic lung cancer model ( n = 8/group). (E) Representative in vivo bioluminescence images of mice from the indicated treatment groups at different time points. (F) Quantification of total bioluminescence flux from mice in each group over time. (G) Kaplan-Meier survival curves of mice from the four treatment groups. (H) Individual tumor growth curves, as measured by bioluminescence, for mice in each treatment group. (I) UMAP visualization of major immune cell populations within the TME, analyzed by flow cytometry. (J) Quantitative comparison of the frequencies of indicated immune cell lineages between SMARCA4-WT and -KD tumors. (K and L) Representative flow cytometry plots showing the production of IFN-γ and TNF-α by tumor-infiltrating CD8 + T cells. (M) Quantification of the frequencies of IFN-γ + and TNF-α + cells among tumor-infiltrating CD8 + T cells. Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by unpaired Student’s t test or one- or two-way ANOVA where appropriate.
Techniques Used: Cell Function Assay, In Vivo, Flow Cytometry, Comparison
Figure Legend Snippet: Attenuated IL-2/STAT5 signaling and an enhanced exhaustion phenotype in CD8 + T cells within SMARCA4-deficient tumors (A) Schematic of the workflow for transcriptomic profiling of CD8 + T cells. (B) Volcano plot displaying differentially expressed genes in CD8 + T cells from SMARCA4-KD versus WT tumors. (C–E) Pathway enrichment analyses of genes downregulated in CD8 + T cells from SMARCA4-KD tumors, including Gene Ontology (GO) terms, KEGG pathways, and Reactome pathways. (F) The gene set enrichment analysis (GSEA) plot. (G) Correlation matrix (pie chart) showing the association between IL-2 receptor subunits expression and key T cell exhaustion marker genes in tumor-infiltrating CD8 + T cells. (H) Radar plot comparing the normalized expression levels of genes encoding IL-2 receptor subunits and exhaustion markers in CD8 + T cells. (I) Quantification by flow cytometry of the expression frequencies of PD-1, TIGIT, and TIM-3 on tumor-infiltrating CD8 + T cells. (J and K) Representative multiplex immunofluorescence (mIF) images of SMARCA4-WT and -KD tumor sections stained for PanCK (cyan), CD8 (green), GZMB (white), PD-1 (red), TIGIT (orange), and TIM-3 (yellow). Scale bars, 20 μm. Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by unpaired Student’s t test or one-way ANOVA where appropriate.
Techniques Used: Expressing, Marker, Flow Cytometry, Multiplex Assay, Immunofluorescence, Staining
Figure Legend Snippet: SMARCA4 loss in tumor cells attenuates CD8 + T cell function via NF-κB-mediated suppression of ICAM1 (A) Flow cytometry analysis of surface expression of the exhaustion markers PD-1, TIGIT, and TIM-3 on human CD8 + T cells following co-culture. (B and C) Representative flow cytometry plots showing the production of IFN-γ and TNF-α and the surface expression of IL-2Rα (CD25) by CD8 + T cells following co-culture. (D) Quantification of the frequencies of IFN-γ + , TNF-α + , and IL-2Rα + cells among co-cultured CD8 + T cells. (E) Integrated single-nucleus RNA sequencing (snRNA-seq) analysis comparing IL2-STAT5 signaling activity. y axis: IL2-STAT5 signaling score. (F and G) Incoming and outgoing signaling patterns between major cell types in the TME, as inferred from snRNA-seq. (H) Specific cell-cell communication network illustrating the ICAM signaling pathway from tumor cells to CD8 + T cells in patients with SMARCA4-WT NSCLC. (I) Correlation analysis between SMARCA4 and ICAM1 mRNA expression in TCGA cohorts. (J) Immunohistochemistry staining and quantification of ICAM1 protein expression in tumor tissues from SMARCA4-WT ( n = 10) and -deficient ( n = 10) NSCLC patients. (K) Schematic illustrating the proposed link between SMARCA4 deficiency and impaired NF-κB activation. (L) Immunoblot analysis of ICAM1 and p65 protein levels in SMARCA4-WT H2122 cells treated with the NF-κB inhibitor PTDC or vehicle control. (M) ChIP-qPCR analysis showing NF-κB (p65) binding to a specific site within the ICAM1 promoter in SMARCA4-WT H2122 cells ( n = 3). (N) Dual-luciferase reporter assay in SMARCA4-WT H2122 cells ( n = 3). Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001. Statistical significance was determined by unpaired Student’s t test or one-way ANOVA where appropriate.
Techniques Used: Cell Function Assay, Flow Cytometry, Expressing, Co-Culture Assay, Cell Culture, RNA Sequencing, Activity Assay, Immunohistochemistry, Staining, Activation Assay, Western Blot, Control, ChIP-qPCR, Binding Assay, Luciferase, Reporter Assay
Figure Legend Snippet: The PD-1/IL-2 bsAb exerts potent anti-tumor efficacy in SMARCA4-deficient models (A) Schematic of the therapeutic experiment in humanized mice ( n = 6/group). (B) Representative images of excised tumors from each treatment group at the endpoint. (C) Tumor growth curves of individual mice in the indicated treatment groups. (D) Kaplan-Meier survival curves of mice from the four treatment groups. (E) Quantification by flow cytometry of tumor-infiltrating CD3 + CD8 + T cells. (F) Quantification of the percentage of tumor-infiltrating CD8 + T cells expressing PD-1, TIGIT, and TIM-3. (G) Frequency of polyfunctional (TNF-α + IFN-γ + ) CD8 + T cells among tumor-infiltrating lymphocytes. (H) Schematic of the humanized patient-derived xenograft (PDX) model ( n = 5/group). (I) Representative images of excised PDX tumors from each treatment group. (J) Tumor growth curves of individual PDX-bearing mice. (K) Kaplan-Meier survival curves of PDX-bearing mice from the three treatment groups. (L) Quantification of tumor-infiltrating CD3 + CD8 + T cells in PDX tumors. (M) Quantification of the percentage of CD8 + T cells from PDX tumors expressing PD-1, TIGIT, and TIM-3. (N) Frequency of polyfunctional (TNF-α + IFN-γ + ) CD8 + T cells in PDX tumors. (O) Representative multiplex immunofluorescence (mIF) images of PDX tumor sections from different treatment groups, stained for PanCK (cyan), CD8 (green), GZMB (white), PD-1 (red), TIGIT (orange), and TIM-3 (yellow). Scale bars, 40 μm. Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by unpaired Student’s t test or one-way ANOVA or two-way ANOVA where appropriate.
Techniques Used: Flow Cytometry, Expressing, Derivative Assay, Multiplex Assay, Immunofluorescence, Staining
Figure Legend Snippet: STAT5 activation mediates the therapeutic effect of the PD-1/IL-2 bsAb in SMARCA4-deficient NSCLC (A) Representative flow cytometry plots showing the expression of the exhaustion markers PD-1, TIGIT, and TIM-3 on activated human CD8 + T cells. (B) Quantification of the mean fluorescence intensity (MFI) of the exhaustion markers PD-1, TIGIT, and TIM-3 on CD8 + T cells from the experiment in (A) ( n = 3). (C) Representative flow cytometry plots showing the production of IFN-γ and TNF-α by CD8 + T cells under the conditions described in (A). (D) Quantification of the frequencies of IFN-γ + and TNF-α + cells among CD8 + T cells ( n = 3). (E) Schematic of the adoptive T cell transfer experiment ( n = 8/group). (F) Representative in vivo bioluminescence images of mice from the indicated groups at different time points. (G) Tumor growth curves, as measured by bioluminescence, for mice in each treatment group. (H) Kaplan-Meier survival curves of mice from the four treatment groups. (I) Quantification of the frequency of donor-derived CD45.2 + CD8 + T cells among total tumor-infiltrating lymphocytes. (J) Flow analysis of donor-derived CD45.2 + CD8 + T cells expressing PD-1, TIGIT, and TIM-3. (K–M) Frequency of IFN-γ + (K–L) and TNF-α + (M) cells among donor-derived CD45.2 + CD8 + T cells. Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by unpaired Student’s t test or one-way ANOVA or two-way ANOVA where appropriate.
Techniques Used: Activation Assay, Flow Cytometry, Expressing, Fluorescence, In Vivo, Derivative Assay
Figure Legend Snippet: PD-1/IL-2 bsAb protects CD8 + T cells from macrophage phagocytosis via STAT5-mediated upregulation of CD47 (A) Schematic of the Cleavage Under Targets and Tagmentation (CUT&Tag) assays workflow. (B) Distribution of STAT5 binding signals relative to transcription start sites (TSS) in CD8 + T cells treated with or without the PD-1/IL-2 bsAb. (C) Genomic annotation of differentially enriched STAT5 binding peaks in the bsAb-treated group. (D) KEGG pathway enrichment analysis of genes associated with STAT5 binding peaks. (E and F) Strategy and Venn diagram for identifying potential STAT5 downstream genes. (G) ChIP-qPCR analysis of STAT5 binding to the promoter regions of selected candidate genes ( n = 3). (H) Genome browser tracks showing STAT5 binding signals at the CD47 locus in control and PD-1/IL-2 bsAb-treated CD8 + T cells. (I) Schematic of the macrophage phagocytosis assay. (J) Representative confocal microscopy images showing macrophages (red) engulfing CD8 + T cells (green). Scale bars, 20 μm. (K) Flow cytometry quantification of the percentage of macrophages that had phagocytosed CD8 + T cells under the indicated conditions ( n = 3). Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by unpaired Student’s t test or one-way ANOVA where appropriate.
Techniques Used: Binding Assay, ChIP-qPCR, Control, Phagocytosis Assay, Confocal Microscopy, Flow Cytometry
Figure Legend Snippet: CD47 protects CD8 + T cells from macrophage clearance to boost antitumor immunity in SMARCA4-deficient NSCLC (A) Schematic of the adoptive T cell therapy experiment ( n = 8/group). (B) Representative in vivo bioluminescence images of mice from the indicated treatment groups at different time points. (C) Tumor growth curves, as measured by bioluminescence, for mice in each treatment group. (D) Individual tumor growth curves for mice in each treatment group. (E) Kaplan-Meier survival curves of mice from the four treatment groups. (F) Quantification by flow cytometry of donor-derived CD45.2 + CD8 + T cells among total tumor-infiltrating lymphocytes. (G) Representative flow cytometry plots for donor-derived CD45.2 + CD8 + T cells expressing the exhaustion markers PD-1, TIGIT, and TIM-3. (H) Quantification of the percentage of CD45.2 + CD8 + T cells expressing PD-1, TIGIT, and TIM-3. (I) The production of TNF-α by donor-derived CD45.2 + CD8 + T cells. (J) The production of IFN-γ by donor-derived CD45.2 + CD8 + T cells. (K) Representative immunofluorescence images of tumor sections. White: CD8, green: CD47, red: F4/80. Scale bars, 70 μm. (L) Schematic model depicting the proposed mechanism of action. Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by one-way ANOVA.
Techniques Used: In Vivo, Flow Cytometry, Derivative Assay, Expressing, Immunofluorescence

