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anti cd8  (Bio X Cell)


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    Structured Review

    Bio X Cell anti cd8
    ( A ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( B ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( C ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 5 per group). ( D ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 4 for RP-shNS, n = 5 for each RP-sh Crebbp cell). ( E to G ) Flow cytometry analysis of <t>CD8</t> + T cell proportions (E), CD44 hi CD62L lo CD8+ T cell proportions (F), and IFNγ + CD8 + T cell proportions (G) in allograft tumors formed by RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice. n = 6 per group. ( H ) In vivo growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice treated with IgG control or <t>anti-CD8</t> antibodies, with quantification of tumor weights at the endpoint (n = 5 per group). ( I ) Flow cytometry analysis of apoptotic RP-OVA, RP-OVA-shCtrl, and RP-OVA-sh Crebbp -1 tumor cells, with or without co-culture with OT-1 CD8 + T cells. Quantification of the apoptotic tumor cell proportions is shown (right). [(A), (B), (C), (D), and (H)] Two-way ANOVA test for tumor growth curves and unpaired Student’s t test for tumor weights. *** P < 0.001; **** P < 0.0001. ns, not significant. Data were shown as mean ± SEM. [(E) to (G) and (I)] Unpaired Student’s t test; * P < 0.05; ** P < 0.01. Data were shown as mean ± SD.
    Anti Cd8, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 96/100, based on 206 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+cd8+antibody/InVivoMAb+anti-mouse+CD8%CE%B2/pmc13685914-168-17-19
    Average 96 stars, based on 206 article reviews
    anti cd8 - by Bioz Stars, 2026-11
    96/100 stars

    Images

    1) Product Images from "CREBBP loss drives immune evasion by epigenetically silencing STING and MHC-I in small cell lung cancer"

    Article Title: CREBBP loss drives immune evasion by epigenetically silencing STING and MHC-I in small cell lung cancer

    Journal: Science Advances

    doi: 10.1126/sciadv.aef1693

    ( A ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( B ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( C ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 5 per group). ( D ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 4 for RP-shNS, n = 5 for each RP-sh Crebbp cell). ( E to G ) Flow cytometry analysis of CD8 + T cell proportions (E), CD44 hi CD62L lo CD8+ T cell proportions (F), and IFNγ + CD8 + T cell proportions (G) in allograft tumors formed by RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice. n = 6 per group. ( H ) In vivo growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice treated with IgG control or anti-CD8 antibodies, with quantification of tumor weights at the endpoint (n = 5 per group). ( I ) Flow cytometry analysis of apoptotic RP-OVA, RP-OVA-shCtrl, and RP-OVA-sh Crebbp -1 tumor cells, with or without co-culture with OT-1 CD8 + T cells. Quantification of the apoptotic tumor cell proportions is shown (right). [(A), (B), (C), (D), and (H)] Two-way ANOVA test for tumor growth curves and unpaired Student’s t test for tumor weights. *** P < 0.001; **** P < 0.0001. ns, not significant. Data were shown as mean ± SEM. [(E) to (G) and (I)] Unpaired Student’s t test; * P < 0.05; ** P < 0.01. Data were shown as mean ± SD.
    Figure Legend Snippet: ( A ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( B ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( C ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 5 per group). ( D ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 4 for RP-shNS, n = 5 for each RP-sh Crebbp cell). ( E to G ) Flow cytometry analysis of CD8 + T cell proportions (E), CD44 hi CD62L lo CD8+ T cell proportions (F), and IFNγ + CD8 + T cell proportions (G) in allograft tumors formed by RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice. n = 6 per group. ( H ) In vivo growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice treated with IgG control or anti-CD8 antibodies, with quantification of tumor weights at the endpoint (n = 5 per group). ( I ) Flow cytometry analysis of apoptotic RP-OVA, RP-OVA-shCtrl, and RP-OVA-sh Crebbp -1 tumor cells, with or without co-culture with OT-1 CD8 + T cells. Quantification of the apoptotic tumor cell proportions is shown (right). [(A), (B), (C), (D), and (H)] Two-way ANOVA test for tumor growth curves and unpaired Student’s t test for tumor weights. *** P < 0.001; **** P < 0.0001. ns, not significant. Data were shown as mean ± SEM. [(E) to (G) and (I)] Unpaired Student’s t test; * P < 0.05; ** P < 0.01. Data were shown as mean ± SD.

    Techniques Used: In Vivo, Flow Cytometry, Analysis, Control, Co-culture Assay, shRNA

    Related Articles

    Injection:

    Article Title: Inhibition of circulating glycocholic acid-regulated signaling potentiates immune checkpoint therapy in colorectal cancer.
    Article Snippet: .. For the CD8-depletion experiment, mice were treated with an anti-CD8 antibody (200 μg per injection; clone 2.43; Bio X Cell) twice weekly during the course of the experiments. .. For anti-PD-1 antibody treatment, mice were treated with 100 μg anti-PD-1α antibody (Bio X Cell) per mouse twice weekly or the corresponding IgG control via i.p. injection for the indicated days.

    Article Title: A novel spliceosome inhibitor triggers anti-tumor CD4 + and CD8 + T cell responses in murine models of pediatric-relevant cancer
    Article Snippet: .. Once tumors were established, mice were randomly divided into groups of 10 mice then T cell depletion was performed by intraperitoneal injection of anti-CD4 antibody (clone GK1.5, Bio X Cell) or anti-CD8 antibody (clone 2.43, Bio X Cell), respectively, at a dose of 200 μg per mouse. ..

    Article Title: A novel spliceosome inhibitor triggers antitumor CD4+ and CD8+ T cell responses in murine models of pediatric-relevant cancer
    Article Snippet: .. Once tumors were established, mice were randomly divided into groups of 10 mice then T cell depletion was performed by intraperitoneal injection of anti-CD4 antibody (clone GK1.5, Bio X Cell) or anti-CD8 antibody (clone 2.43, Bio X Cell), respectively, at a dose of 200 μg per mouse. ..

    Control:

    Article Title: MAP4K4 Regulates the Immune Landscape of Pancreatic Tumor Microenvironment and Provides an Opportunity for Immunotherapy.
    Article Snippet: Due to its widespread resistance to conventional therapy, Pancreatic Ductal Adenocarcinoma (PDAC) is expected to be the second most common cause of cancer-related death in the United States by 2030.. One of the major impediments to therapeutic failure in PDAC is the presence of an immunosuppressive tumor microenvironment (TME).. Here, we report the effect of MAP4K4 in regulating innate and adaptive immunity in PDAC-TME in KPC tumors.

    In Vivo:

    Article Title: KCTD1 stabilizes c-Myc to upregulate PD-L1 and suppress anti-tumor immunity in hepatocellular carcinoma.
    Article Snippet: .. For in vivo antibody treatments, mice received intraperitoneal injections of 100 μg of anti-CD8 antibody (YTS169.4, BioXCell) on days –1, 0, and every 3 days and/or anti–PD-1 antibody (bsm43072M, Bioss) on days 3, 6, 9, and 12. ..

    Article Title: KCTD1 stabilizes c-Myc to upregulate PD-L1 and suppress anti-tumor immunity in hepatocellular carcinoma
    Article Snippet: .. For in vivo antibody treatments, mice received intraperitoneal injections of 100 μg of anti-CD8 antibody (YTS169.4, BioXCell) on days –1, 0, and every 3 days and/or anti–PD-1 antibody (bsm-43072M, Bioss) on days 3, 6, 9, and 12. ..



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    ( A ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( B ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( C ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 5 per group). ( D ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 4 for RP-shNS, n = 5 for each RP-sh Crebbp cell). ( E to G ) Flow cytometry analysis of <t>CD8</t> + T cell proportions (E), CD44 hi CD62L lo CD8+ T cell proportions (F), and IFNγ + CD8 + T cell proportions (G) in allograft tumors formed by RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice. n = 6 per group. ( H ) In vivo growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice treated with IgG control or <t>anti-CD8</t> antibodies, with quantification of tumor weights at the endpoint (n = 5 per group). ( I ) Flow cytometry analysis of apoptotic RP-OVA, RP-OVA-shCtrl, and RP-OVA-sh Crebbp -1 tumor cells, with or without co-culture with OT-1 CD8 + T cells. Quantification of the apoptotic tumor cell proportions is shown (right). [(A), (B), (C), (D), and (H)] Two-way ANOVA test for tumor growth curves and unpaired Student’s t test for tumor weights. *** P < 0.001; **** P < 0.0001. ns, not significant. Data were shown as mean ± SEM. [(E) to (G) and (I)] Unpaired Student’s t test; * P < 0.05; ** P < 0.01. Data were shown as mean ± SD.
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    Image Search Results


    ( A ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( B ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( C ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 5 per group). ( D ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 4 for RP-shNS, n = 5 for each RP-sh Crebbp cell). ( E to G ) Flow cytometry analysis of CD8 + T cell proportions (E), CD44 hi CD62L lo CD8+ T cell proportions (F), and IFNγ + CD8 + T cell proportions (G) in allograft tumors formed by RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice. n = 6 per group. ( H ) In vivo growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice treated with IgG control or anti-CD8 antibodies, with quantification of tumor weights at the endpoint (n = 5 per group). ( I ) Flow cytometry analysis of apoptotic RP-OVA, RP-OVA-shCtrl, and RP-OVA-sh Crebbp -1 tumor cells, with or without co-culture with OT-1 CD8 + T cells. Quantification of the apoptotic tumor cell proportions is shown (right). [(A), (B), (C), (D), and (H)] Two-way ANOVA test for tumor growth curves and unpaired Student’s t test for tumor weights. *** P < 0.001; **** P < 0.0001. ns, not significant. Data were shown as mean ± SEM. [(E) to (G) and (I)] Unpaired Student’s t test; * P < 0.05; ** P < 0.01. Data were shown as mean ± SD.

    Journal: Science Advances

    Article Title: CREBBP loss drives immune evasion by epigenetically silencing STING and MHC-I in small cell lung cancer

    doi: 10.1126/sciadv.aef1693

    Figure Lengend Snippet: ( A ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( B ) In vivo tumor growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 6 per group). ( C ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in nude mice, with quantification of tumor weights at the endpoint (n = 5 per group). ( D ) In vivo tumor growth of RP-shCtrl and RP-sh Crebbp cells in C57BL/6 mice, with quantification of tumor weights at the endpoint (n = 4 for RP-shNS, n = 5 for each RP-sh Crebbp cell). ( E to G ) Flow cytometry analysis of CD8 + T cell proportions (E), CD44 hi CD62L lo CD8+ T cell proportions (F), and IFNγ + CD8 + T cell proportions (G) in allograft tumors formed by RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice. n = 6 per group. ( H ) In vivo growth of RP-sgCtrl and RP-sg Crebbp cells in C57BL/6 mice treated with IgG control or anti-CD8 antibodies, with quantification of tumor weights at the endpoint (n = 5 per group). ( I ) Flow cytometry analysis of apoptotic RP-OVA, RP-OVA-shCtrl, and RP-OVA-sh Crebbp -1 tumor cells, with or without co-culture with OT-1 CD8 + T cells. Quantification of the apoptotic tumor cell proportions is shown (right). [(A), (B), (C), (D), and (H)] Two-way ANOVA test for tumor growth curves and unpaired Student’s t test for tumor weights. *** P < 0.001; **** P < 0.0001. ns, not significant. Data were shown as mean ± SEM. [(E) to (G) and (I)] Unpaired Student’s t test; * P < 0.05; ** P < 0.01. Data were shown as mean ± SD.

    Article Snippet: For CD8 + T cell blockade experiments, IgG1 isotype control (BE0088, Bio X Cell, RRID: AB_1107775) and anti-CD8 (BE0223, Bio X Cell, RRID: AB_2687706) antibodies were administered intraperitoneally at 100 μg per mouse one day before tumor cell inoculation, followed by a second dose immediately after cell injection, and then doses every 3 days.

    Techniques: In Vivo, Flow Cytometry, Analysis, Control, Co-culture Assay, shRNA

    Characterization of KRAS G12V-BsAb. ( A–B ) Selective binding of the purified scDb2 to KRAS G12V/HLA-A*11:01 ( A ) and CD3 ( B ) by ELISA. Biotinylated KRAS G12V/HLA-A*11:01 or recombinant CD3ε/δ was coated on a streptavidin plate and then incubated with scDb2 at 0.1, 1 or 10 nM, followed by detection with an anti-His antibody. Optical density at 450 nm was measured on a spectrophotometric plate reader. Data represent mean±SD of three technical replicates. ( C ) Surface plasmon resonance analysis of scDb2 binding to KRAS G12V/HLA-A*11:01 and KRAS WT/HLA-A*11:01. Binding kinetics were determined by fitting to a 1:1 Langmuir model. ( D ) Dose-dependent T-cell activation by scDb2. C1R-A11 cells pulsed with KRAS G12V or WT peptides were co-cultured with CD8 + T cells in the presence of increasing concentrations (0, 0.1, 0.3, 1 and 10 nM) of scDb2. IFN-γ secretion was quantified by ELISpot assay. Data represent mean±SD of three technical replicates. The EC 50 for IFN-γ secretion was 0.59 nM for C1R-A11 cells. p=0.0023 at 0.3 nM and p<0.0001 at 1 and 10 nM versus KRAS WT (Tukey’s test). ( E ) KRAS peptide-specific T-cell activation by scDb2. C1R-A11 cells were pulsed with different KRAS G12 variant peptides (WT, G12A, G12C, G12D, G12R and G12S), then co-cultured with CD8 + T cells in the presence of 1 nM KRAS G12V/A11:01-specific scDb2. IFN-γ secretion was measured by ELISpot. Data represent mean±SD of three technical replicates. p<0.0001 versus no peptide (Dunnett’s test). ( F ) HLA-restricted T-cell activation by scDb2. C1R cells expressing a panel of prevalent HLA-A alleles (HLA-A*02:01, HLA-A*02:06, HLA-A*03:01, HLA-A*11:01, HLA-A*24:02, HLA-A*31:01 and HLA-A*33:03) were pulsed with KRAS G12V peptide and co-cultured with CD8 + T cells in the presence of 1 nM KRAS G12V/A11:01-specific scDb2. Data represent mean±SD of three technical replicates. p<0.0001 for HLA-A*11:01 and HLA-A*03:01 versus the no-peptide control; no significant differences were observed for the other HLA alleles versus the no-peptide control (Dunnett’s test). BsAb, bispecific antibody; EC 50 , half-maximal effective concentrations; ELISpot, enzyme-linked immunosorbent spot; HLA, human leukocyte antigen; IFN, interferon; scDb, single-chain diabody; WT, wild-type.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Engineering T cell-engaging bispecific antibodies targeting KRAS G12V neoantigen across HLA-A*11:01 and HLA-A*03:01

    doi: 10.1136/jitc-2026-016411

    Figure Lengend Snippet: Characterization of KRAS G12V-BsAb. ( A–B ) Selective binding of the purified scDb2 to KRAS G12V/HLA-A*11:01 ( A ) and CD3 ( B ) by ELISA. Biotinylated KRAS G12V/HLA-A*11:01 or recombinant CD3ε/δ was coated on a streptavidin plate and then incubated with scDb2 at 0.1, 1 or 10 nM, followed by detection with an anti-His antibody. Optical density at 450 nm was measured on a spectrophotometric plate reader. Data represent mean±SD of three technical replicates. ( C ) Surface plasmon resonance analysis of scDb2 binding to KRAS G12V/HLA-A*11:01 and KRAS WT/HLA-A*11:01. Binding kinetics were determined by fitting to a 1:1 Langmuir model. ( D ) Dose-dependent T-cell activation by scDb2. C1R-A11 cells pulsed with KRAS G12V or WT peptides were co-cultured with CD8 + T cells in the presence of increasing concentrations (0, 0.1, 0.3, 1 and 10 nM) of scDb2. IFN-γ secretion was quantified by ELISpot assay. Data represent mean±SD of three technical replicates. The EC 50 for IFN-γ secretion was 0.59 nM for C1R-A11 cells. p=0.0023 at 0.3 nM and p<0.0001 at 1 and 10 nM versus KRAS WT (Tukey’s test). ( E ) KRAS peptide-specific T-cell activation by scDb2. C1R-A11 cells were pulsed with different KRAS G12 variant peptides (WT, G12A, G12C, G12D, G12R and G12S), then co-cultured with CD8 + T cells in the presence of 1 nM KRAS G12V/A11:01-specific scDb2. IFN-γ secretion was measured by ELISpot. Data represent mean±SD of three technical replicates. p<0.0001 versus no peptide (Dunnett’s test). ( F ) HLA-restricted T-cell activation by scDb2. C1R cells expressing a panel of prevalent HLA-A alleles (HLA-A*02:01, HLA-A*02:06, HLA-A*03:01, HLA-A*11:01, HLA-A*24:02, HLA-A*31:01 and HLA-A*33:03) were pulsed with KRAS G12V peptide and co-cultured with CD8 + T cells in the presence of 1 nM KRAS G12V/A11:01-specific scDb2. Data represent mean±SD of three technical replicates. p<0.0001 for HLA-A*11:01 and HLA-A*03:01 versus the no-peptide control; no significant differences were observed for the other HLA alleles versus the no-peptide control (Dunnett’s test). BsAb, bispecific antibody; EC 50 , half-maximal effective concentrations; ELISpot, enzyme-linked immunosorbent spot; HLA, human leukocyte antigen; IFN, interferon; scDb, single-chain diabody; WT, wild-type.

    Article Snippet: Sections were then incubated with primary antibodies: anti-CD8 mouse monoclonal antibody (Proteintech, Rosemont, Illinois, USA) and anti-Ki67 rabbit monoclonal antibody (Cell Signaling Technology, Danvers, Massachusetts, USA).

    Techniques: Binding Assay, Purification, Enzyme-linked Immunosorbent Assay, Recombinant, Incubation, SPR Assay, Analysis, Activation Assay, Cell Culture, Enzyme-linked Immunospot, Variant Assay, Expressing, Control, ELISpot Assay

    Assessment of KRAS G12V/A*11:01-specific scDb2 specificity and potential cross-reactivity. ( A ) Cross-reactivity of KRAS G12V variant peptides. C1R-A11 cells were pulsed with the parental KRAS G12V peptide or amino acid-substituted variants, and co-cultured with CD8 + T cells in the presence of 1 nM KRAS G12V/A*11:01-specific scDb2. IFN-γ release was measured by ELISpot assay, and the mean of duplicate wells was used to generate the heatmap. Black boxes indicate the amino acids present in the parental G12V peptide. ( B ) Sequence specificity of KRAS G12V/A*11:01 scDb2 visualized as a Seq2Logo plot. Values were calculated by normalizing IFN-γ signals to a constant and plotting using the R package Seq2Logo. ( C ) AlphaFold-predicted structure of the KRAS G12V-scFv2 in complex with KRAS G12V/HLA-A*11:01. HLA-A*11:01, scFv and β2 microglobulin (β2M) are colored in gray, wheat and cyan, respectively. The KRAS G12V peptide is shown in light red between helices α1 and α2 of the HLA. ( D ) Bird’s-eye view of surface representation of the HLA-A*11:01 shown in gray, KRAS G12V peptide shown in red, and the contacting residues colored according to complementarity-determining regions (CDRs) of the scFv. The CDRs are labeled and colored as: H3 (pink), H2 (purple), H1 (sky blue), L3 (green), L2 (limon), L1 (dark green). ELISpot, enzyme-linked immunosorbent spot; HLA, human leukocyte antigen; IFN, interferon; scDb, single-chain diabody; scFv, single-chain variable fragments; WT, wild-type.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Engineering T cell-engaging bispecific antibodies targeting KRAS G12V neoantigen across HLA-A*11:01 and HLA-A*03:01

    doi: 10.1136/jitc-2026-016411

    Figure Lengend Snippet: Assessment of KRAS G12V/A*11:01-specific scDb2 specificity and potential cross-reactivity. ( A ) Cross-reactivity of KRAS G12V variant peptides. C1R-A11 cells were pulsed with the parental KRAS G12V peptide or amino acid-substituted variants, and co-cultured with CD8 + T cells in the presence of 1 nM KRAS G12V/A*11:01-specific scDb2. IFN-γ release was measured by ELISpot assay, and the mean of duplicate wells was used to generate the heatmap. Black boxes indicate the amino acids present in the parental G12V peptide. ( B ) Sequence specificity of KRAS G12V/A*11:01 scDb2 visualized as a Seq2Logo plot. Values were calculated by normalizing IFN-γ signals to a constant and plotting using the R package Seq2Logo. ( C ) AlphaFold-predicted structure of the KRAS G12V-scFv2 in complex with KRAS G12V/HLA-A*11:01. HLA-A*11:01, scFv and β2 microglobulin (β2M) are colored in gray, wheat and cyan, respectively. The KRAS G12V peptide is shown in light red between helices α1 and α2 of the HLA. ( D ) Bird’s-eye view of surface representation of the HLA-A*11:01 shown in gray, KRAS G12V peptide shown in red, and the contacting residues colored according to complementarity-determining regions (CDRs) of the scFv. The CDRs are labeled and colored as: H3 (pink), H2 (purple), H1 (sky blue), L3 (green), L2 (limon), L1 (dark green). ELISpot, enzyme-linked immunosorbent spot; HLA, human leukocyte antigen; IFN, interferon; scDb, single-chain diabody; scFv, single-chain variable fragments; WT, wild-type.

    Article Snippet: Sections were then incubated with primary antibodies: anti-CD8 mouse monoclonal antibody (Proteintech, Rosemont, Illinois, USA) and anti-Ki67 rabbit monoclonal antibody (Cell Signaling Technology, Danvers, Massachusetts, USA).

    Techniques: Variant Assay, Cell Culture, Enzyme-linked Immunospot, Sequencing, Labeling, ELISpot Assay

    In vivo antitumor efficacy of KRAS G12V-specific scDb2. ( A ) NSG mice were engrafted through s.c. injection with 5×10 6 SNG-M cells on day −7. On day 0, mice were randomized based on tumor sizes, and 2×10 7 human PBMCs or PBS as a vehicle control, and KRAS G12V-specific scDb2 or isotype control scDb (10 µg/mouse) were injected i.p. scDbs were subsequently injected two times per week. ( B ) Tumor progression was monitored by measuring tumor size. Data represent mean±SEM (n=8 mice/group). *p=0.043 PBMC+KRAS scDb2 versus PBMC+isotype scDb at the last time point (Tukey’s test). ( C ) Tumor weight of each mouse at the end of experiment was measured. Boxes show the median and IQR with individual mice plotted (n=8 mice/group). p values were calculated by Tukey’s test. ( D ) Representative H&E and multiplex immunohistochemical staining for CD8 and Ki67. Scale bars, 50 µm. ( E ) Proportion of CD8 + T cells and Ki67 + proliferating CD8 + T cells in tumors from each group. Data represent mean±SD (n=8 mice/group). p values were calculated by Tukey’s test. Scale bars, 10 µm. ( F ) Body weights of the mice were serially monitored in the established SNG-M model. Data represent mean±SEM (n=8 mice/group). (Tukey’s test, p=0.88 at the last time point). ( G ) Representative H&E staining of kidney and liver tissues from mice across treatment groups. Scale bars, 50 µm. i.p., intraperitoneally; NS, not significant; PBMC, peripheral blood mononuclear cells; PBS, phosphate buffered saline; s.c., subcutaneous; scDb, single-chain diabody.

    Journal: Journal for Immunotherapy of Cancer

    Article Title: Engineering T cell-engaging bispecific antibodies targeting KRAS G12V neoantigen across HLA-A*11:01 and HLA-A*03:01

    doi: 10.1136/jitc-2026-016411

    Figure Lengend Snippet: In vivo antitumor efficacy of KRAS G12V-specific scDb2. ( A ) NSG mice were engrafted through s.c. injection with 5×10 6 SNG-M cells on day −7. On day 0, mice were randomized based on tumor sizes, and 2×10 7 human PBMCs or PBS as a vehicle control, and KRAS G12V-specific scDb2 or isotype control scDb (10 µg/mouse) were injected i.p. scDbs were subsequently injected two times per week. ( B ) Tumor progression was monitored by measuring tumor size. Data represent mean±SEM (n=8 mice/group). *p=0.043 PBMC+KRAS scDb2 versus PBMC+isotype scDb at the last time point (Tukey’s test). ( C ) Tumor weight of each mouse at the end of experiment was measured. Boxes show the median and IQR with individual mice plotted (n=8 mice/group). p values were calculated by Tukey’s test. ( D ) Representative H&E and multiplex immunohistochemical staining for CD8 and Ki67. Scale bars, 50 µm. ( E ) Proportion of CD8 + T cells and Ki67 + proliferating CD8 + T cells in tumors from each group. Data represent mean±SD (n=8 mice/group). p values were calculated by Tukey’s test. Scale bars, 10 µm. ( F ) Body weights of the mice were serially monitored in the established SNG-M model. Data represent mean±SEM (n=8 mice/group). (Tukey’s test, p=0.88 at the last time point). ( G ) Representative H&E staining of kidney and liver tissues from mice across treatment groups. Scale bars, 50 µm. i.p., intraperitoneally; NS, not significant; PBMC, peripheral blood mononuclear cells; PBS, phosphate buffered saline; s.c., subcutaneous; scDb, single-chain diabody.

    Article Snippet: Sections were then incubated with primary antibodies: anti-CD8 mouse monoclonal antibody (Proteintech, Rosemont, Illinois, USA) and anti-Ki67 rabbit monoclonal antibody (Cell Signaling Technology, Danvers, Massachusetts, USA).

    Techniques: In Vivo, Injection, Control, Multiplex Assay, Immunohistochemical staining, Staining, Saline

    Trifunctional fusion proteins enhance cytotoxic potential differently. Fusion proteins were incubated (A) untargeted or (B) targeted to B16-FAP cells (preincubated with the indicated concentration and then washed to remove unbound fusion protein) with PBMCs in presence of suboptimal concentration of CytoStim™. After 4 days, cells were fixed, permeabilized and intracellularly stained with anti-CD3, anti-CD8 and anti-granzyme B antibodies, followed by flow cytometry analysis. Graphics show mean ± SD, n=3, independent experiments, using PBMCs from the same donor and fusion proteins from batches #2, with blockshift correction, One-way ANOVA, Tukey’s post-test **p<0.01; ***p<0.001; ****p<0.0001.

    Journal: Frontiers in Immunology

    Article Title: Trifunctional antibody fusion proteins for targeted co-delivery of 4-1BBL with IL-15 or IL-21 to enhance antitumor immune responses

    doi: 10.3389/fimmu.2026.1903525

    Figure Lengend Snippet: Trifunctional fusion proteins enhance cytotoxic potential differently. Fusion proteins were incubated (A) untargeted or (B) targeted to B16-FAP cells (preincubated with the indicated concentration and then washed to remove unbound fusion protein) with PBMCs in presence of suboptimal concentration of CytoStim™. After 4 days, cells were fixed, permeabilized and intracellularly stained with anti-CD3, anti-CD8 and anti-granzyme B antibodies, followed by flow cytometry analysis. Graphics show mean ± SD, n=3, independent experiments, using PBMCs from the same donor and fusion proteins from batches #2, with blockshift correction, One-way ANOVA, Tukey’s post-test **p<0.01; ***p<0.001; ****p<0.0001.

    Article Snippet: Antibodies and other reagents were purchased from BioLegend (anti-CD3 PE, 317308; anti-CD8 Pacific Blue, 344718; anti-CD56 APC, 362504; anti-CD69 FITC, 310904; anti-CD56 PacificBlue, 362519; FoxP3 Fix/Perm buffer,421401; FoxP3 Perm buffer, 421402), Miltenyi Biotech (anti-His-PE, 130-120-718; anti-CD8 PEVio770.

    Techniques: Incubation, Concentration Assay, Staining, Flow Cytometry, Analysis