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invivomab anti bioxcell be0001 2 cd3 human cd3  (Bio X Cell)


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    Bio X Cell invivomab anti bioxcell be0001 2 cd3 human cd3
    Invivomab Anti Bioxcell Be0001 2 Cd3 Human Cd3, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 97/100, based on 236 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+human+cd3%CE%B5/us12576160-251-52-54?v=Bio+X+Cell
    Average 97 stars, based on 236 article reviews
    invivomab anti bioxcell be0001 2 cd3 human cd3 - by Bioz Stars, 2026-07
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    Miltenyi Biotec human cd3 magnetic microbeads
    Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, <t>CD3</t> in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.
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    Miltenyi Biotec human cd3 cells
    Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, <t>CD3</t> in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.
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    Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, <t>CD3</t> in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.
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    Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, <t>CD3</t> in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.
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    Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, <t>CD3</t> in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.
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    Bio X Cell invivomab anti bioxcell be0001 2 cd3 human cd3
    a , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression. The cells were cultured in either serum free media (SF) or media supplemented with 10% fetal bovine serum (FBS) or human serum (HS) and GFP expression was measured by flow cytometry. Plotted values are GFP + cells relative to the SF value in each MOI condition in order to highlight changes in transduction efficiency when serum is present. Results are the mean ± SEM from three donors (n = 3). Significance was assessed using two-way ANOVA and Dunnett’s multiple comparisons test. b , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression at three different MOI. The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean from two donors (n = 2). c , Activated T cells from three donors were electroporated with an RNP targeting the TRAC locus and treated with either AAV6 or AAV-hT7 carrying an HDR template to knock in a CAR at TRAC . The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean ± SEM from three donors (n = 3). Significance was assessed using multiple two-tailed unpaired t -tests and the Holm-Šidák multiple comparisons test. d , TRAC -CAR-T cells expressing a 1928z-1XX were generated with a combination of EDV and AAV and functionally validated. TRAC -CAR-T cells were co-culture NALM6 cells at three effector cells to tumour cell ratios (E:T) for 24 h. Cytotoxicity was calculated by a luminescence read-out. Results are the mean ± SEM from four technical replicates (n = 4). e , Schematic of a genome-wide knockout screen to identify genes associated with AAV-hT7 uptake and processing in primary T cells. T cells were isolated from PBMCs, activated <t>with</t> <t>CD3/CD28</t> beads, and transduced with the lentiviral sgRNA library, followed by Cas9 electroporation (SLICE approach). 3 days later, T cells were re-activated for 48 h and transduced with AAV6 or AAV-hT7 expressing GFP. At 48 h after AAV-hT7 transduction cells were sorted into four bins based on GFP expression. Genomic DNA was extracted from cells in each bin, and amplicon libraries were prepared and sequenced to determine sgRNA enrichment. f , g , Volcano plot displaying genome-wide KO screen results for AAV6 ( f) and AAV-hT7 ( g ), p-values determined using MAGeCK RRA one-sided tests and methods. h , PBMC-humanized were injected with either AAV6 (n = 6) or AAV-hT7 (n = 6) carrying a ss-CAG-GFP cargo, or PBS (n = 3). DNA was isolated from different organs harvested one week after injection. Viral genomes were quantified through qPCR and normalized by the DNA input. Results are the mean ± SEM.
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    Bio X Cell anti human cd3
    a , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression. The cells were cultured in either serum free media (SF) or media supplemented with 10% fetal bovine serum (FBS) or human serum (HS) and GFP expression was measured by flow cytometry. Plotted values are GFP + cells relative to the SF value in each MOI condition in order to highlight changes in transduction efficiency when serum is present. Results are the mean ± SEM from three donors (n = 3). Significance was assessed using two-way ANOVA and Dunnett’s multiple comparisons test. b , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression at three different MOI. The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean from two donors (n = 2). c , Activated T cells from three donors were electroporated with an RNP targeting the TRAC locus and treated with either AAV6 or AAV-hT7 carrying an HDR template to knock in a CAR at TRAC . The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean ± SEM from three donors (n = 3). Significance was assessed using multiple two-tailed unpaired t -tests and the Holm-Šidák multiple comparisons test. d , TRAC -CAR-T cells expressing a 1928z-1XX were generated with a combination of EDV and AAV and functionally validated. TRAC -CAR-T cells were co-culture NALM6 cells at three effector cells to tumour cell ratios (E:T) for 24 h. Cytotoxicity was calculated by a luminescence read-out. Results are the mean ± SEM from four technical replicates (n = 4). e , Schematic of a genome-wide knockout screen to identify genes associated with AAV-hT7 uptake and processing in primary T cells. T cells were isolated from PBMCs, activated <t>with</t> <t>CD3/CD28</t> beads, and transduced with the lentiviral sgRNA library, followed by Cas9 electroporation (SLICE approach). 3 days later, T cells were re-activated for 48 h and transduced with AAV6 or AAV-hT7 expressing GFP. At 48 h after AAV-hT7 transduction cells were sorted into four bins based on GFP expression. Genomic DNA was extracted from cells in each bin, and amplicon libraries were prepared and sequenced to determine sgRNA enrichment. f , g , Volcano plot displaying genome-wide KO screen results for AAV6 ( f) and AAV-hT7 ( g ), p-values determined using MAGeCK RRA one-sided tests and methods. h , PBMC-humanized were injected with either AAV6 (n = 6) or AAV-hT7 (n = 6) carrying a ss-CAG-GFP cargo, or PBS (n = 3). DNA was isolated from different organs harvested one week after injection. Viral genomes were quantified through qPCR and normalized by the DNA input. Results are the mean ± SEM.
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    Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, CD3 in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.

    Journal: Cell Reports Medicine

    Article Title: Single-cell analysis highlights the significance of malignant cell IFN/MHC-II for immunotherapy response in head and neck squamous cell carcinoma

    doi: 10.1016/j.xcrm.2026.102715

    Figure Lengend Snippet: Malignant cell-specific expression of MHC-II is IFN-γ dependent but dispensable for anti-PD1-mediated tumor control (A) Post-treatment multiplex immunofluorescence (mIF) PhenoCycler images of formalin-fixed paraffin-embedded-stained tissues show representative areas of high HLA-DR expression on malignant cells from a representative tumor (OCSCC3). Top left image shows whole-slide view, while other panels represent magnified fields of view from inset, showing (from top left to bottom right) malignant cells highlighted by TP63 and panCK, HLA-DR expression, HLA-DR expression within malignant cells, assigned cell boundaries following Instanseg cell segmentation and HLA-DR +/− classification based on centered log-ratio threshold, staining for T cell and macrophages (CD14 and CD16A combined in blue, CD8 in green, CD3 in red, and FOXP3 in white), post-classification cell-type assignment, and DNA stain for all cells. (B) Line plots show percent of HLA-DR-positive malignant cells by mIF, pre- and post-treatment. Lines connect paired samples from individual patients ( n = 4). (C) Bar plots show relative count of seven neighboring cell types within a 30 μm radius of malignant cells that are HLA-DR+ (orange bars) and HLA-DR− (blue bars). Bars show counts relative to values for HLA-DR- malignant cells. Pink dots represent responders, while green dots represent non-responders. Error bars represent the SEM. Asterisks (∗ p < 0.05, ∗∗ p < 0.01) denote significance by unpaired one-sided t test, HLA-DR+ greater than HLA-DR−. HLA-DR+ malignant cells are surrounded by greater numbers of CD4 T cells ( p = 0.006) and macrophages ( p = 0.036) than HLA-DR− malignant cells. (D and E) (D) Schematic for (E–G). C57BL/6 mice received anti-IFN-γ or IgG control 1 week prior to tumor implantation and once weekly starting at tumor implantation. MOC1 tumor-bearing mice then received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for bulk RNA-seq. (E) Growth of tumors from (D). Error bars denote standard error between mice within each treatment group. Asterisks (∗∗∗ p < 0.001) denote significance by t test at day 30. (F) Volcano plot shows genes with largest expression differences between tumor-bearing mice treated with anti-PD1 vs. anti-PD1 + anti-IFN-γ. Red dots highlight genes involved in MHC-II presentation. (G) Boxplot shows MHC-II expression score by bulk RNA-seq of MOC1 tumors from (D). Each dot represents one mouse. Asterisks (∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (H and I) (H) Schematic for (I). WT or Ciita KO MOC1 cell lines were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (I) Growth of tumors from (H). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.

    Article Snippet: The single-cell suspension was sorted via magnetic column using either human CD45 magnetic MicroBeads (Miltenyi) or human CD3 magnetic MicroBeads (Miltenyi) according to manufacturer’s protocol for up to 10 7 total cells.

    Techniques: Expressing, Control, Multiplex Assay, Immunofluorescence, Formalin-fixed Paraffin-Embedded, Staining, Tumor Implantation, RNA Sequencing, Flow Cytometry

    Malignant cell-specific IFN-γ signaling sustains MHC-II expression and correlates with a favorable immune microenvironment and therapeutic response under PD-1 blockade (A) Schematic for (B and C). WT or Ifngr1 KO MOC1 cells were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (B) (Top) Representative flow cytometry plots for malignant cell-specific MHC-II (I-A/I-E) expression (gated: live cells/CD45 − /EpCAM + /I-A/I-E + ). Expression was determined by MFI. (Bottom) Boxplot shows malignant cell-specific MHC-II expression for each group from (A). Each dot represents one mouse. Asterisk (∗ p < 0.05) denotes significance by t test. (C) Growth of tumors from (A). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (D) Schematic for (E–J). WT MOC1 tumors were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Tumors were harvested for flow cytometry analysis on day 30 post-implantation. (E) Representative flow cytometry plots for MHC-II high and MHC-II low tumors from (D). (F) Scatterplot shows, for each mouse from (D), malignant cell-specific MHC-II MFI ( x axis) and the tumor mass ( y axis). Spearman correlation and p value are shown. Each dot represents one mouse. Data were pooled from 3 independent experiments. (G) Violin plot shows the distribution of MHC-II expression from (D). The top 8 tumors were classified as MHC-II high ; the bottom 8 tumors were classified as MHC-II low . (H) Boxplots show malignant cell-specific MHC-II expression and infiltrating immune cell types between MHC-II high and MHC-II low tumors. Values for each comparison were scaled by the average of MHC-II low tumors. T cells were gated live cells/CD45 + /CD3 + . Monocytes were gated live cells/CD45 + /CD3 − /CD11b + /Ly-6C + /Ly-6G − . Neutrophils were gated live cells/CD45 + /CD3 − /CD11b + /Ly-6G + /Ly-6C int . Macrophages were gated live cells/CD45 + /CD3 − /CD11b + /Ly-6G − /Ly-6C − /F4/80 + . Asterisks (∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (I) Violin plot shows the distribution of tumor masses from (D). The top 5 tumors were classified as non-response; the middle 17 tumors were classified as response; the bottom 3 tumors were classified as exceptional response. (J) Boxplots show potential response markers (tumor-specific MHC-II, MHC-I, PD-L1, and myeloid MHC-II) across non-responding, responding, and exceptional-response tumors. Values for each comparison were scaled by the average expression in exceptional-response tumors. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.

    Journal: Cell Reports Medicine

    Article Title: Single-cell analysis highlights the significance of malignant cell IFN/MHC-II for immunotherapy response in head and neck squamous cell carcinoma

    doi: 10.1016/j.xcrm.2026.102715

    Figure Lengend Snippet: Malignant cell-specific IFN-γ signaling sustains MHC-II expression and correlates with a favorable immune microenvironment and therapeutic response under PD-1 blockade (A) Schematic for (B and C). WT or Ifngr1 KO MOC1 cells were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Growth of tumors was tracked until day 30 post-implantation. Tumors were then harvested for flow cytometry analysis. (B) (Top) Representative flow cytometry plots for malignant cell-specific MHC-II (I-A/I-E) expression (gated: live cells/CD45 − /EpCAM + /I-A/I-E + ). Expression was determined by MFI. (Bottom) Boxplot shows malignant cell-specific MHC-II expression for each group from (A). Each dot represents one mouse. Asterisk (∗ p < 0.05) denotes significance by t test. (C) Growth of tumors from (A). Error bars denote standard error between mice within each treatment group. Asterisks (∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (D) Schematic for (E–J). WT MOC1 tumors were implanted into C57BL/6 mice. Tumor-bearing mice received anti-PD1 or IgG control antibodies on days 3, 6, and 9 post-tumor implantation. Tumors were harvested for flow cytometry analysis on day 30 post-implantation. (E) Representative flow cytometry plots for MHC-II high and MHC-II low tumors from (D). (F) Scatterplot shows, for each mouse from (D), malignant cell-specific MHC-II MFI ( x axis) and the tumor mass ( y axis). Spearman correlation and p value are shown. Each dot represents one mouse. Data were pooled from 3 independent experiments. (G) Violin plot shows the distribution of MHC-II expression from (D). The top 8 tumors were classified as MHC-II high ; the bottom 8 tumors were classified as MHC-II low . (H) Boxplots show malignant cell-specific MHC-II expression and infiltrating immune cell types between MHC-II high and MHC-II low tumors. Values for each comparison were scaled by the average of MHC-II low tumors. T cells were gated live cells/CD45 + /CD3 + . Monocytes were gated live cells/CD45 + /CD3 − /CD11b + /Ly-6C + /Ly-6G − . Neutrophils were gated live cells/CD45 + /CD3 − /CD11b + /Ly-6G + /Ly-6C int . Macrophages were gated live cells/CD45 + /CD3 − /CD11b + /Ly-6G − /Ly-6C − /F4/80 + . Asterisks (∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001) denote significance by t test. (I) Violin plot shows the distribution of tumor masses from (D). The top 5 tumors were classified as non-response; the middle 17 tumors were classified as response; the bottom 3 tumors were classified as exceptional response. (J) Boxplots show potential response markers (tumor-specific MHC-II, MHC-I, PD-L1, and myeloid MHC-II) across non-responding, responding, and exceptional-response tumors. Values for each comparison were scaled by the average expression in exceptional-response tumors. Asterisks (∗ p < 0.05, ∗∗∗ p < 0.001) denote significance by t test.

    Article Snippet: The single-cell suspension was sorted via magnetic column using either human CD45 magnetic MicroBeads (Miltenyi) or human CD3 magnetic MicroBeads (Miltenyi) according to manufacturer’s protocol for up to 10 7 total cells.

    Techniques: Expressing, Clinical Proteomics, Control, Tumor Implantation, Flow Cytometry, Comparison

    Characterization of CD33xCD28 IgG4-scFv 2 TCE. A, Illustration of a combination of a bispecific TCE targeting TAA1 (CD117) on tumor cells and CD3ε on T cells with a bispecific TCE targeting TAA2 (CD33) on tumor cells and CD28 on T-cells. B, Plasmid map of the CD33xCD28 IgG4-scFv 2 construct. C, Protein structure of the CD33xCD28 IgG 4 -scFv 2 construct. D–F, CD33xCD28 IgG4-scFv 2 analysis by mass spectrometry in nonreduced ( D ) and reduced ( E and F ) conditions. G, Size-exclusion chromatography of CD33xCD28 IgG4-scFv 2 . H, SDS-page analysis of CD33xCD28 IgG4-scFv 2 under nonreducing (NR) and reducing (R) conditions M = protein ladder indicating the molecular size (kDa). I, Binding of CD33xCD28 IgG4-scFv 2 to CD33 on MOLM-14 CD117 High GFP + Luc + cells. J, Binding of CD33xCD28 IgG4-scFv 2 to CD28 on peripheral blood T cells. Binding capacity was assessed by the titration of the bispecific antibody and detected by anti-human IgG antibody. MFI was normalized to background fluorescence. Apparent K D was calculated by nonlinear regression. Mean ± SD from three independent experiments, each plated in duplicates.

    Journal: Cancer Research Communications

    Article Title: Enhancement of CD117-Targeted Bispecific T-cell Engagement by CD33-Targeted Bispecific T-cell Costimulation in Acute Myeloid Leukemia

    doi: 10.1158/2767-9764.CRC-25-0672

    Figure Lengend Snippet: Characterization of CD33xCD28 IgG4-scFv 2 TCE. A, Illustration of a combination of a bispecific TCE targeting TAA1 (CD117) on tumor cells and CD3ε on T cells with a bispecific TCE targeting TAA2 (CD33) on tumor cells and CD28 on T-cells. B, Plasmid map of the CD33xCD28 IgG4-scFv 2 construct. C, Protein structure of the CD33xCD28 IgG 4 -scFv 2 construct. D–F, CD33xCD28 IgG4-scFv 2 analysis by mass spectrometry in nonreduced ( D ) and reduced ( E and F ) conditions. G, Size-exclusion chromatography of CD33xCD28 IgG4-scFv 2 . H, SDS-page analysis of CD33xCD28 IgG4-scFv 2 under nonreducing (NR) and reducing (R) conditions M = protein ladder indicating the molecular size (kDa). I, Binding of CD33xCD28 IgG4-scFv 2 to CD33 on MOLM-14 CD117 High GFP + Luc + cells. J, Binding of CD33xCD28 IgG4-scFv 2 to CD28 on peripheral blood T cells. Binding capacity was assessed by the titration of the bispecific antibody and detected by anti-human IgG antibody. MFI was normalized to background fluorescence. Apparent K D was calculated by nonlinear regression. Mean ± SD from three independent experiments, each plated in duplicates.

    Article Snippet: In selected cases, a CD3 + /CD19 + double depletion was performed using human CD3 and CD19 MicroBeads (Miltenyi Biotec, cat. #130-136-718), following the manufacturer’s protocol.

    Techniques: Plasmid Preparation, Construct, Mass Spectrometry, Size-exclusion Chromatography, SDS Page, Binding Assay, Titration, Fluorescence

    CD33xCD28 IgG4-scFv 2 in combination with CD117xCD3 TCE mediates more effective lysis of primary AML cells. A, Representative flow cytometry plots showing CD117 and CD33 expression on four different primary human AML blast populations (CD45dim) upon coculture with healthy donor–derived T cells at an E:T ratio of approximately 1:1. Cells were incubated with antibody constructs as indicated (CD117xCD3 at the indicated concentrations, in combination with 0.5 nmol/L CD33xCD28 IgG4-scFv 2 or 0.5 nmol/L CD28 IgG4). Plots are shown for 0 and 48 hours. B, Percentage of specific lysis of CD45 dim CD3 − AML blasts of the individual patient samples after 48 hours. C, Combined percentage of CD25 + T cells. D, Combined IFNγ in supernatants of coculture. E, Combined proliferation of T cells. Data represent the mean ± SEM from two independent healthy donor–derived T-cell samples, each plated in duplicate. Statistical significance was determined using two-way ANOVA; *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.

    Journal: Cancer Research Communications

    Article Title: Enhancement of CD117-Targeted Bispecific T-cell Engagement by CD33-Targeted Bispecific T-cell Costimulation in Acute Myeloid Leukemia

    doi: 10.1158/2767-9764.CRC-25-0672

    Figure Lengend Snippet: CD33xCD28 IgG4-scFv 2 in combination with CD117xCD3 TCE mediates more effective lysis of primary AML cells. A, Representative flow cytometry plots showing CD117 and CD33 expression on four different primary human AML blast populations (CD45dim) upon coculture with healthy donor–derived T cells at an E:T ratio of approximately 1:1. Cells were incubated with antibody constructs as indicated (CD117xCD3 at the indicated concentrations, in combination with 0.5 nmol/L CD33xCD28 IgG4-scFv 2 or 0.5 nmol/L CD28 IgG4). Plots are shown for 0 and 48 hours. B, Percentage of specific lysis of CD45 dim CD3 − AML blasts of the individual patient samples after 48 hours. C, Combined percentage of CD25 + T cells. D, Combined IFNγ in supernatants of coculture. E, Combined proliferation of T cells. Data represent the mean ± SEM from two independent healthy donor–derived T-cell samples, each plated in duplicate. Statistical significance was determined using two-way ANOVA; *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.

    Article Snippet: In selected cases, a CD3 + /CD19 + double depletion was performed using human CD3 and CD19 MicroBeads (Miltenyi Biotec, cat. #130-136-718), following the manufacturer’s protocol.

    Techniques: Lysis, Flow Cytometry, Expressing, Derivative Assay, Incubation, Construct

    a , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression. The cells were cultured in either serum free media (SF) or media supplemented with 10% fetal bovine serum (FBS) or human serum (HS) and GFP expression was measured by flow cytometry. Plotted values are GFP + cells relative to the SF value in each MOI condition in order to highlight changes in transduction efficiency when serum is present. Results are the mean ± SEM from three donors (n = 3). Significance was assessed using two-way ANOVA and Dunnett’s multiple comparisons test. b , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression at three different MOI. The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean from two donors (n = 2). c , Activated T cells from three donors were electroporated with an RNP targeting the TRAC locus and treated with either AAV6 or AAV-hT7 carrying an HDR template to knock in a CAR at TRAC . The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean ± SEM from three donors (n = 3). Significance was assessed using multiple two-tailed unpaired t -tests and the Holm-Šidák multiple comparisons test. d , TRAC -CAR-T cells expressing a 1928z-1XX were generated with a combination of EDV and AAV and functionally validated. TRAC -CAR-T cells were co-culture NALM6 cells at three effector cells to tumour cell ratios (E:T) for 24 h. Cytotoxicity was calculated by a luminescence read-out. Results are the mean ± SEM from four technical replicates (n = 4). e , Schematic of a genome-wide knockout screen to identify genes associated with AAV-hT7 uptake and processing in primary T cells. T cells were isolated from PBMCs, activated with CD3/CD28 beads, and transduced with the lentiviral sgRNA library, followed by Cas9 electroporation (SLICE approach). 3 days later, T cells were re-activated for 48 h and transduced with AAV6 or AAV-hT7 expressing GFP. At 48 h after AAV-hT7 transduction cells were sorted into four bins based on GFP expression. Genomic DNA was extracted from cells in each bin, and amplicon libraries were prepared and sequenced to determine sgRNA enrichment. f , g , Volcano plot displaying genome-wide KO screen results for AAV6 ( f) and AAV-hT7 ( g ), p-values determined using MAGeCK RRA one-sided tests and methods. h , PBMC-humanized were injected with either AAV6 (n = 6) or AAV-hT7 (n = 6) carrying a ss-CAG-GFP cargo, or PBS (n = 3). DNA was isolated from different organs harvested one week after injection. Viral genomes were quantified through qPCR and normalized by the DNA input. Results are the mean ± SEM.

    Journal: Nature

    Article Title: In vivo site-specific engineering to reprogram T cells

    doi: 10.1038/s41586-026-10235-x

    Figure Lengend Snippet: a , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression. The cells were cultured in either serum free media (SF) or media supplemented with 10% fetal bovine serum (FBS) or human serum (HS) and GFP expression was measured by flow cytometry. Plotted values are GFP + cells relative to the SF value in each MOI condition in order to highlight changes in transduction efficiency when serum is present. Results are the mean ± SEM from three donors (n = 3). Significance was assessed using two-way ANOVA and Dunnett’s multiple comparisons test. b , Activated T cells were treated with either AAV6 or AAV-hT7 carrying a GFP transcript for transient expression at three different MOI. The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean from two donors (n = 2). c , Activated T cells from three donors were electroporated with an RNP targeting the TRAC locus and treated with either AAV6 or AAV-hT7 carrying an HDR template to knock in a CAR at TRAC . The cells were cultured in either serum free media. These values are used to calculate the relative GFP expression in (Fig. ). Results are the mean ± SEM from three donors (n = 3). Significance was assessed using multiple two-tailed unpaired t -tests and the Holm-Šidák multiple comparisons test. d , TRAC -CAR-T cells expressing a 1928z-1XX were generated with a combination of EDV and AAV and functionally validated. TRAC -CAR-T cells were co-culture NALM6 cells at three effector cells to tumour cell ratios (E:T) for 24 h. Cytotoxicity was calculated by a luminescence read-out. Results are the mean ± SEM from four technical replicates (n = 4). e , Schematic of a genome-wide knockout screen to identify genes associated with AAV-hT7 uptake and processing in primary T cells. T cells were isolated from PBMCs, activated with CD3/CD28 beads, and transduced with the lentiviral sgRNA library, followed by Cas9 electroporation (SLICE approach). 3 days later, T cells were re-activated for 48 h and transduced with AAV6 or AAV-hT7 expressing GFP. At 48 h after AAV-hT7 transduction cells were sorted into four bins based on GFP expression. Genomic DNA was extracted from cells in each bin, and amplicon libraries were prepared and sequenced to determine sgRNA enrichment. f , g , Volcano plot displaying genome-wide KO screen results for AAV6 ( f) and AAV-hT7 ( g ), p-values determined using MAGeCK RRA one-sided tests and methods. h , PBMC-humanized were injected with either AAV6 (n = 6) or AAV-hT7 (n = 6) carrying a ss-CAG-GFP cargo, or PBS (n = 3). DNA was isolated from different organs harvested one week after injection. Viral genomes were quantified through qPCR and normalized by the DNA input. Results are the mean ± SEM.

    Article Snippet: After thawing, T lymphocytes were purified using the EasySep Human T cell isolation kit (StemCell Technologies, 17951) and activated with Dynabeads Human T Expander CD3/CD28 at a 1:1 bead-to-cell ratio (Gibco, 11141D) in X-VIVO 15 medium (Lonza, BP04-744Q) supplemented with human serum (5%, Gemini Bioproducts, 100-512), IL-7 (5 ng ml −1 , Miltenyi Biotec, 130-095-367) and IL-15 (5 ng ml −1 , Miltenyi Biotec, 130-095-760) at a density of 1 × 10 6 cells per ml.

    Techniques: Expressing, Cell Culture, Flow Cytometry, Transduction, Knock-In, Two Tailed Test, Generated, Co-Culture Assay, Genome Wide, Knock-Out, Isolation, Electroporation, Amplification, Injection