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human ifnγ  (R&D Systems)


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    Structured Review

    R&D Systems human ifnγ
    <t>Vectorized</t> <t>IFNβ</t> drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I <t>IFN</t> and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).
    Human Ifnγ, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 175 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/human+ifn%CE%B3/pmc13091051-256-36-38?v=R%26D+Systems
    Average 96 stars, based on 175 article reviews
    human ifnγ - by Bioz Stars, 2026-07
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    Images

    1) Product Images from "AAV immuno-gene therapy platform delivering vectorized cytokines defines a new modality for high-grade glioma treatment"

    Article Title: AAV immuno-gene therapy platform delivering vectorized cytokines defines a new modality for high-grade glioma treatment

    Journal: Molecular Therapy Oncology

    doi: 10.1016/j.omton.2026.201183

    Vectorized IFNβ drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I IFN and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).
    Figure Legend Snippet: Vectorized IFNβ drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I IFN and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).

    Techniques Used: In Vivo, Recombinant, Enzyme-linked Immunosorbent Assay, Derivative Assay, Saline

    Spatial transcriptomics reveals rapid, localized transcriptional remodeling of the tumor microenvironment following vectorized hIFNβ treatment (A) Coronal brain sections from representative human GBM6-FLuc CDX mice collected pre-treatment (0 h, n = 1) or 48 h ( n = 1) after intratumoral AAV9-hIFNβ infusion (2E11 vg/brain), stained with H&E (left) and subjected to Visium Spatial Gene Expression profiling (right). Annotated clusters were assigned based on anatomical localization and marker gene expression. Dashed lines denote tumor borders. Scale bars, 1 mm. (B) Top 10 marker genes for each spatially resolved cluster identified across 0 h and 48 h datasets. Values are shown as log-normalized expression centered at 0 (Seurat “scale.data”). (C) Spatial expression of canonical human GBM tumor markers ( CD44 , VIM , TOP2A , and NOTCH1 ) delineating tumor and peri-tumor regions before (0 h) (top) and after (bottom) (48 h) AAV9-hIFNβ treatment. (D) Expression maps of the human IFNβ payload and hallmark IFN-response genes ( CXCL10 , IFIT1 , and IFIT2 ), demonstrating tumor-restricted transgene expression and induction of an IFN-specific transcriptional program within 48 h. (E) Spatial expression of host mouse immune-response genes ( Gfap , Ifitm3 , and Irf7 ) showing localized activation of astroglial and innate immune pathways proximal to the tumor. (F) Integrated datasets (0 and 48 h) visualized using canonical correlation analysis (CCA), showing distinct clustering of tumor and peri-tumor regions (left) and enrichment of IFN-response gene module expression (right). (G) Volcano plot depicting differential gene expression between 0- and 48-h tumor clusters. Red, IFN-response genes; gray, other significantly upregulated genes ( p -Adj <0.01); blue, non-significant. (H) Top enriched Gene Ontology (GO) terms among upregulated genes in 48-h tumor cells, highlighting interferon and inflammatory response pathways (∗∗ p -Adj <0.01; ∗ p -Adj <0.05).
    Figure Legend Snippet: Spatial transcriptomics reveals rapid, localized transcriptional remodeling of the tumor microenvironment following vectorized hIFNβ treatment (A) Coronal brain sections from representative human GBM6-FLuc CDX mice collected pre-treatment (0 h, n = 1) or 48 h ( n = 1) after intratumoral AAV9-hIFNβ infusion (2E11 vg/brain), stained with H&E (left) and subjected to Visium Spatial Gene Expression profiling (right). Annotated clusters were assigned based on anatomical localization and marker gene expression. Dashed lines denote tumor borders. Scale bars, 1 mm. (B) Top 10 marker genes for each spatially resolved cluster identified across 0 h and 48 h datasets. Values are shown as log-normalized expression centered at 0 (Seurat “scale.data”). (C) Spatial expression of canonical human GBM tumor markers ( CD44 , VIM , TOP2A , and NOTCH1 ) delineating tumor and peri-tumor regions before (0 h) (top) and after (bottom) (48 h) AAV9-hIFNβ treatment. (D) Expression maps of the human IFNβ payload and hallmark IFN-response genes ( CXCL10 , IFIT1 , and IFIT2 ), demonstrating tumor-restricted transgene expression and induction of an IFN-specific transcriptional program within 48 h. (E) Spatial expression of host mouse immune-response genes ( Gfap , Ifitm3 , and Irf7 ) showing localized activation of astroglial and innate immune pathways proximal to the tumor. (F) Integrated datasets (0 and 48 h) visualized using canonical correlation analysis (CCA), showing distinct clustering of tumor and peri-tumor regions (left) and enrichment of IFN-response gene module expression (right). (G) Volcano plot depicting differential gene expression between 0- and 48-h tumor clusters. Red, IFN-response genes; gray, other significantly upregulated genes ( p -Adj <0.01); blue, non-significant. (H) Top enriched Gene Ontology (GO) terms among upregulated genes in 48-h tumor cells, highlighting interferon and inflammatory response pathways (∗∗ p -Adj <0.01; ∗ p -Adj <0.05).

    Techniques Used: Spatial Transcriptomics, Staining, Gene Expression, Marker, Expressing, Activation Assay



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    R&D Systems human ifnγ
    <t>Vectorized</t> <t>IFNβ</t> drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I <t>IFN</t> and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).
    Human Ifnγ, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Eurobio human ifn γ
    <t>Vectorized</t> <t>IFNβ</t> drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I <t>IFN</t> and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).
    Human Ifn γ, supplied by Eurobio, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Mabtech Inc human ifn γ elispotbasic kit hrp
    <t>Vectorized</t> <t>IFNβ</t> drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I <t>IFN</t> and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).
    Human Ifn γ Elispotbasic Kit Hrp, supplied by Mabtech Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    In vivo DC maturation and T cell activation in C57BL/6J mice induced by mOVA/H 18 NPs through intravenous injection. C57BL/6J mice were vaccinated with different formulations on Day 0 and Day 5. On Day 10, the spleens of mice were collected and analyzed by flow cytometry. Quantification analysis of (A) CD80 + CD86 + DCs and (B) CD40 + DCs in the spleen. Quantification analysis of (C) CD3 + CD4 + T cells and (D) CD3 + CD8 + T cells in the spleen. (E) Quantification analysis and (F) representative flow cytometry contour plots of OVA-specific CD8 + T cells among all cell populations in the spleen. (G) Quantification analysis and (H) representative flow cytometry contour plots of IFN-γ + CD8 + T cells among all cell populations in the spleen. (I) Quantification results and (J) representative images of IFN- γ -secreting immune cells in the spleen of mice analyzed by enzyme-linked immunospot (ELISpot) assay. Data were shown as mean ± SD (n = 3).

    Journal: Bioactive Materials

    Article Title: Splenic dendritic cell-targeting mRNA transfection of H-type ionizable lipid-based LNPs for enhancing tumor immunotherapy

    doi: 10.1016/j.bioactmat.2026.02.018

    Figure Lengend Snippet: In vivo DC maturation and T cell activation in C57BL/6J mice induced by mOVA/H 18 NPs through intravenous injection. C57BL/6J mice were vaccinated with different formulations on Day 0 and Day 5. On Day 10, the spleens of mice were collected and analyzed by flow cytometry. Quantification analysis of (A) CD80 + CD86 + DCs and (B) CD40 + DCs in the spleen. Quantification analysis of (C) CD3 + CD4 + T cells and (D) CD3 + CD8 + T cells in the spleen. (E) Quantification analysis and (F) representative flow cytometry contour plots of OVA-specific CD8 + T cells among all cell populations in the spleen. (G) Quantification analysis and (H) representative flow cytometry contour plots of IFN-γ + CD8 + T cells among all cell populations in the spleen. (I) Quantification results and (J) representative images of IFN- γ -secreting immune cells in the spleen of mice analyzed by enzyme-linked immunospot (ELISpot) assay. Data were shown as mean ± SD (n = 3).

    Article Snippet: Quantification analysis of (C) CD3 + CD4 + T cells and (D) CD3 + CD8 + T cells in the spleen. (E) Quantification analysis and (F) representative flow cytometry contour plots of OVA-specific CD8 + T cells among all cell populations in the spleen. (G) Quantification analysis and (H) representative flow cytometry contour plots of IFN-γ + CD8 + T cells among all cell populations in the spleen. (I) Quantification results and (J) representative images of IFN- γ -secreting immune cells in the spleen of mice analyzed by enzyme-linked immunospot (ELISpot) assay.

    Techniques: In Vivo, Activation Assay, Injection, Flow Cytometry, Enzyme-linked Immunospot

    Identification of SARS-CoV-2-specific T cell responses by reverse phenotyping (A) CoVa-Adapt study design and sample collection scheme. For all donors, PBMCs were collected at day 0 (P0), 10 days after primary (P10), 10 and 210 days after secondary (S10, S210), and 10 and 189 days after tertiary (T10, T189) vaccination. For selected donors, PBMCs were additionally sampled 108 days after tertiary vaccination (T108, n = 7). Vaccination-induced T cell responses were characterized for most donors on a quantitative level by IFNγ ELISpot. Selected CoVa-Adapt donors were subjected to in-depth characterization using scRNAseq (reverse phenotyping and epitope-specific analyses) followed by TCR functional testing. (B–G) scRNAseq data from the reverse phenotyping dataset. For reverse phenotyping, PBMCs were re-stimulated with 15-mer peptides covering the complete wild-type spike protein or left untreated. Sorted non-naïve CD4 + and/or CD8 + T cells were subjected to scRNAseq. Only CD4 + T cells are shown (annotation described in the methods section). The full dataset is depicted in . (B) UMAP of stimulated (blue) and unstimulated (orange) T cells (left) and Leiden clusters (right; cluster names in UMAP, cluster numbers on the right) ( n = 101,939 cells in total). Cells located within the reactive cluster are displayed with increased point size. (C) Dot plots of log-normalized expression of representative genes per cluster. Selected genes of the reactive cluster are highlighted in gray. Numbers on the left indicate cluster numbers with reactive cluster 12 highlighted in bold. (D and E) IFNG expression (D) and proliferation score (E) in unstimulated (stimulated cells in gray) and stimulated (unstimulated cells in gray) CD4 + T cells (left), and quantification in the stimulated condition of cells in the reactive cluster versus all other clusters (right). Cells located within the reactive cluster are displayed with increased point size. For IFNG , cells with log-normalized gene expression of 0 are shown in gray in UMAPs. Statistical testing by the Mann-Whitney U test. (F) UMAP visualization of cells classified as reactive (cells located in the reactive cluster or belonging to clones where at least one cell is in the reactive cluster) from donor A5 at individual time points after primary (P), secondary (S), and tertiary (T) vaccination in the stimulated condition. Color gradient indicates IFNG expression at the indicated time points. Non-reactive cells and cells from other donors are shown in gray. (G) Fraction of cells from donor A5 at each time point belonging to the reactive cluster. (H and I) Identification of spike-reactive T cells after 20h of in vitro re-stimulation of PBMCs with 15-mer peptides covering the complete wild-type spike protein. Peptides were provided in two subpools, S1 (depicted in H) and S2. Primary data (H) of donor A5 is shown. Quantification (I) of spot-forming units (SFU) for IFNγ ELISpot (combined frequencies of S1 and S2 subpools), data points represent individual donors ( n = 12–19 per time point), solid lines indicate the mean. Samples without SFU above the negative control were set to not detected (n.d.). Donor A5 is highlighted in pink. Statistical testing by the Kruskal-Wallis test followed by Dunn’s multiple comparisons test. Significant differences from the P10 time-point are indicated. ∗∗ p < 0.01, ∗∗∗∗ p < 0.0001, n.s. not significant.

    Journal: iScience

    Article Title: Integrating complementary approaches reveals antigen-reactive CD4 + T cell states after SARS-CoV-2 vaccination

    doi: 10.1016/j.isci.2026.116175

    Figure Lengend Snippet: Identification of SARS-CoV-2-specific T cell responses by reverse phenotyping (A) CoVa-Adapt study design and sample collection scheme. For all donors, PBMCs were collected at day 0 (P0), 10 days after primary (P10), 10 and 210 days after secondary (S10, S210), and 10 and 189 days after tertiary (T10, T189) vaccination. For selected donors, PBMCs were additionally sampled 108 days after tertiary vaccination (T108, n = 7). Vaccination-induced T cell responses were characterized for most donors on a quantitative level by IFNγ ELISpot. Selected CoVa-Adapt donors were subjected to in-depth characterization using scRNAseq (reverse phenotyping and epitope-specific analyses) followed by TCR functional testing. (B–G) scRNAseq data from the reverse phenotyping dataset. For reverse phenotyping, PBMCs were re-stimulated with 15-mer peptides covering the complete wild-type spike protein or left untreated. Sorted non-naïve CD4 + and/or CD8 + T cells were subjected to scRNAseq. Only CD4 + T cells are shown (annotation described in the methods section). The full dataset is depicted in . (B) UMAP of stimulated (blue) and unstimulated (orange) T cells (left) and Leiden clusters (right; cluster names in UMAP, cluster numbers on the right) ( n = 101,939 cells in total). Cells located within the reactive cluster are displayed with increased point size. (C) Dot plots of log-normalized expression of representative genes per cluster. Selected genes of the reactive cluster are highlighted in gray. Numbers on the left indicate cluster numbers with reactive cluster 12 highlighted in bold. (D and E) IFNG expression (D) and proliferation score (E) in unstimulated (stimulated cells in gray) and stimulated (unstimulated cells in gray) CD4 + T cells (left), and quantification in the stimulated condition of cells in the reactive cluster versus all other clusters (right). Cells located within the reactive cluster are displayed with increased point size. For IFNG , cells with log-normalized gene expression of 0 are shown in gray in UMAPs. Statistical testing by the Mann-Whitney U test. (F) UMAP visualization of cells classified as reactive (cells located in the reactive cluster or belonging to clones where at least one cell is in the reactive cluster) from donor A5 at individual time points after primary (P), secondary (S), and tertiary (T) vaccination in the stimulated condition. Color gradient indicates IFNG expression at the indicated time points. Non-reactive cells and cells from other donors are shown in gray. (G) Fraction of cells from donor A5 at each time point belonging to the reactive cluster. (H and I) Identification of spike-reactive T cells after 20h of in vitro re-stimulation of PBMCs with 15-mer peptides covering the complete wild-type spike protein. Peptides were provided in two subpools, S1 (depicted in H) and S2. Primary data (H) of donor A5 is shown. Quantification (I) of spot-forming units (SFU) for IFNγ ELISpot (combined frequencies of S1 and S2 subpools), data points represent individual donors ( n = 12–19 per time point), solid lines indicate the mean. Samples without SFU above the negative control were set to not detected (n.d.). Donor A5 is highlighted in pink. Statistical testing by the Kruskal-Wallis test followed by Dunn’s multiple comparisons test. Significant differences from the P10 time-point are indicated. ∗∗ p < 0.01, ∗∗∗∗ p < 0.0001, n.s. not significant.

    Article Snippet: Plates were washed with PBS containing 0.05% Tween 20 (Sigma-Aldrich, P9416-50 mL) and incubated with biotinylated anti-human IFNγ monoclonal antibody (clone 7-B6-1, Mabtech, 3420-6-250) at 0.2 μg/well for 2 h. Plates were washed a second time with PBS containing 0.05% Tween 20 and subsequently incubated with an avidin-biotinylated peroxidase complex (VECTASTAIN Elite ABC-HRP Kit, Vector Laboratories, VEC-PK-6100) for 1–2 h. Afterward, plates were washed first with PBS containing 0.05% Tween 20 following one washing step with PBS.

    Techniques: Enzyme-linked Immunospot, Functional Assay, Expressing, Gene Expression, MANN-WHITNEY, Clone Assay, In Vitro, Negative Control

    Information on 11 selected HLA-A2-binding 9-mer peptides derived from the SARS-CoV-2 genome (A) Workflow of HLA-A2-binding peptide prediction with NETMHCpan4.1 and IFN-γ ELISpot assay of PBMCs from 24 patients with COVID-19 using 31 predicted peptides ( and ). (B) Homology of 11 selected peptides among SARS-CoV-2 variants and other strains (as indicated). “YES” indicates that more than 90% of epitope sequences matched within 200 selected peptide sequences from the database . Otherwise, the % of matched sequences is shown. “NO” indicates no matched sequences. (C) Information on the SARS-CoV-2 genome and mapping of 11 selected peptides on its genome.

    Journal: iScience

    Article Title: Distinct CD8 + T cell types associated with COVID-19 severity in unvaccinated HLA-A2 + patients

    doi: 10.1016/j.isci.2026.115880

    Figure Lengend Snippet: Information on 11 selected HLA-A2-binding 9-mer peptides derived from the SARS-CoV-2 genome (A) Workflow of HLA-A2-binding peptide prediction with NETMHCpan4.1 and IFN-γ ELISpot assay of PBMCs from 24 patients with COVID-19 using 31 predicted peptides ( and ). (B) Homology of 11 selected peptides among SARS-CoV-2 variants and other strains (as indicated). “YES” indicates that more than 90% of epitope sequences matched within 200 selected peptide sequences from the database . Otherwise, the % of matched sequences is shown. “NO” indicates no matched sequences. (C) Information on the SARS-CoV-2 genome and mapping of 11 selected peptides on its genome.

    Article Snippet: anti-human-IFN-γ antibody , MABTECH , Cat# 3420-3-250; RRID: AB_907283.

    Techniques: Binding Assay, Derivative Assay, Enzyme-linked Immunospot

    IFN-γ ELISpot of CD8 + T cells in PBMCs from HLA-A2 + patients with COVID-19 using selected SARS-CoV-2 peptides (A) Cross-sectional ELISpot assay of HLA-A2-restricted CD8 + T cell responses against 11 selected peptides in PBMCs from 26 patients with mild, 8 with moderate, and 8 with severe COVID-19, respectively. (B) Log10-transformed mean spot-forming cell (SFC) counts (log10[Mean SFC +1]) per patient across 11 peptides in patients with mild, moderate, and severe COVID-19. Each point represents the mean response for one patient across 11 peptides ( n = 42 patients). A +1 pseudocount is added before the log10 transformation to accommodate zero values. Statistical comparisons were performed using a negative binomial mixed-effects model with Holm-Bonferroni correction for multiple comparisons. NS: not significant. (C) Longitudinal ELISpot assay of HLA-A2-restricted CD8 + T cell responses against selected peptides in PBMCs from patients with mild and moderate COVID-19 (as indicated).

    Journal: iScience

    Article Title: Distinct CD8 + T cell types associated with COVID-19 severity in unvaccinated HLA-A2 + patients

    doi: 10.1016/j.isci.2026.115880

    Figure Lengend Snippet: IFN-γ ELISpot of CD8 + T cells in PBMCs from HLA-A2 + patients with COVID-19 using selected SARS-CoV-2 peptides (A) Cross-sectional ELISpot assay of HLA-A2-restricted CD8 + T cell responses against 11 selected peptides in PBMCs from 26 patients with mild, 8 with moderate, and 8 with severe COVID-19, respectively. (B) Log10-transformed mean spot-forming cell (SFC) counts (log10[Mean SFC +1]) per patient across 11 peptides in patients with mild, moderate, and severe COVID-19. Each point represents the mean response for one patient across 11 peptides ( n = 42 patients). A +1 pseudocount is added before the log10 transformation to accommodate zero values. Statistical comparisons were performed using a negative binomial mixed-effects model with Holm-Bonferroni correction for multiple comparisons. NS: not significant. (C) Longitudinal ELISpot assay of HLA-A2-restricted CD8 + T cell responses against selected peptides in PBMCs from patients with mild and moderate COVID-19 (as indicated).

    Article Snippet: anti-human-IFN-γ antibody , MABTECH , Cat# 3420-3-250; RRID: AB_907283.

    Techniques: Enzyme-linked Immunospot, Transformation Assay

    Vectorized IFNβ drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I IFN and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).

    Journal: Molecular Therapy Oncology

    Article Title: AAV immuno-gene therapy platform delivering vectorized cytokines defines a new modality for high-grade glioma treatment

    doi: 10.1016/j.omton.2026.201183

    Figure Lengend Snippet: Vectorized IFNβ drives durable signaling and complete tumor regression in human glioblastoma models in vivo (A) Sustained hIFNβ secretion in human GBM6 cells treated with AAV9-hIFNβ (red, MOI = 4E5 vg/cell) or recombinant hIFNβ cytokine (r-hIFNβ, purple, 47 IU/mL, equivalent to 114 pg/mL), measured by ELISA at indicated time points. 50% media washouts every 5 h for the first 20 h in the r-hIFNβ condition mimic in vivo cytokine clearance (half-life = 4–5 h). Full media exchanges were performed at 24, 48, 72, and 96 h post-treatment. (B) Number of differentially expressed genes (DEGs, p -Adj<0.01) in GBM6 cells 24–96 h post-treatment with AAV9-hIFNβ or r-hIFNβ vs. media controls. (C) Enrichment scores for type I IFN and TNFα response pathways across treatments and time points. (D) Heatmap of the top 10 IFN and TNFα response genes (Log2FC vs. media controls) in GBM6 cells treated as in (A). (E) Schematic of orthotopic PDX (SF11411) and cell line-derived xenograft ([CDX], GBM6-FLuc) studies in athymic nu/nu mice treated intratumorally with saline, AAV9-GFP, or AAV9-hIFNβ via CED. (F) Kaplan-Meier survival curves for PDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Vertical dashed line = day of treatment (day 9). p < 0.04 by log-rank (Mantel-Cox) test. n = 30 (10 per treatment arm). (G) Longitudinal BLI of GBM6-FLuc tumor growth in CDX mice treated as in (E). Saline = black, AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ (2E11 vg/brain) = red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗ p < 0.04 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 22. n = 30 (10 per treatment arm). (G′) Representative BLI images from each treatment group 11 days post-treatment. (H) Kaplan-Meier survival curves for CDX mice. p < 0.001 by log-rank (Mantel-Cox) test. (I) Distribution of treatment responses in CDX by BLI flux (photons/second) at day 27. Tumor free = BLI flux <2.5 × 10 5 p/s, tumor reduction = ≥30% decrease from assignment on day 9, no change = between 30% decrease and 20% increase from assignment on day 9, tumor growth = ≥20% increase from assignment on day 9, death = mice that died before day 27. (J) Dose-response analysis of AAV9-hIFNβ efficacy in CDX mice. AAV9-GFP (2E11 vg/brain) = blue, AAV9-hIFNβ hi (2E11 vg/brain) = solid red, and AAV9-hIFNβ lo (1E11 vg/brain) = dashed red. Thin lines = individual mice, thick lines = geometric mean. Vertical dashed line = day of treatment (day 9). ∗∗ p < 0.02 by Kruskal-Wallis test with Dunn’s multiple comparisons correction on day 20. n = 45 (15 per treatment arm). For data interpretation, tumor burden threshold = 2.5 × 10 5 . (J′) Representative BLI images of tumors 11 days post-treatment. (K) Kaplan-Meier survival curves from (J). p < 0.002 (AAV9-hIFNβ hi), p < 0.005 (AAV9-hIFNβ lo) by log-rank (Mantel-Cox) test compared to AAV9-GFP. (I) Distribution of treatment responses in CDX mice at day 27 by BLI flux as in (I).

    Article Snippet: 24, 48, 72, and 96 h after treatment, cell supernatants were collected and IFN variant levels were measured using IFN ELISA kits following the manufacturer’s instructions (human IFNα [PBL Cat# 41135-1], human IFNβ [PBL Cat#41410], and human IFNγ [R&D Systems Cat#: DIF50C]).

    Techniques: In Vivo, Recombinant, Enzyme-linked Immunosorbent Assay, Derivative Assay, Saline

    Spatial transcriptomics reveals rapid, localized transcriptional remodeling of the tumor microenvironment following vectorized hIFNβ treatment (A) Coronal brain sections from representative human GBM6-FLuc CDX mice collected pre-treatment (0 h, n = 1) or 48 h ( n = 1) after intratumoral AAV9-hIFNβ infusion (2E11 vg/brain), stained with H&E (left) and subjected to Visium Spatial Gene Expression profiling (right). Annotated clusters were assigned based on anatomical localization and marker gene expression. Dashed lines denote tumor borders. Scale bars, 1 mm. (B) Top 10 marker genes for each spatially resolved cluster identified across 0 h and 48 h datasets. Values are shown as log-normalized expression centered at 0 (Seurat “scale.data”). (C) Spatial expression of canonical human GBM tumor markers ( CD44 , VIM , TOP2A , and NOTCH1 ) delineating tumor and peri-tumor regions before (0 h) (top) and after (bottom) (48 h) AAV9-hIFNβ treatment. (D) Expression maps of the human IFNβ payload and hallmark IFN-response genes ( CXCL10 , IFIT1 , and IFIT2 ), demonstrating tumor-restricted transgene expression and induction of an IFN-specific transcriptional program within 48 h. (E) Spatial expression of host mouse immune-response genes ( Gfap , Ifitm3 , and Irf7 ) showing localized activation of astroglial and innate immune pathways proximal to the tumor. (F) Integrated datasets (0 and 48 h) visualized using canonical correlation analysis (CCA), showing distinct clustering of tumor and peri-tumor regions (left) and enrichment of IFN-response gene module expression (right). (G) Volcano plot depicting differential gene expression between 0- and 48-h tumor clusters. Red, IFN-response genes; gray, other significantly upregulated genes ( p -Adj <0.01); blue, non-significant. (H) Top enriched Gene Ontology (GO) terms among upregulated genes in 48-h tumor cells, highlighting interferon and inflammatory response pathways (∗∗ p -Adj <0.01; ∗ p -Adj <0.05).

    Journal: Molecular Therapy Oncology

    Article Title: AAV immuno-gene therapy platform delivering vectorized cytokines defines a new modality for high-grade glioma treatment

    doi: 10.1016/j.omton.2026.201183

    Figure Lengend Snippet: Spatial transcriptomics reveals rapid, localized transcriptional remodeling of the tumor microenvironment following vectorized hIFNβ treatment (A) Coronal brain sections from representative human GBM6-FLuc CDX mice collected pre-treatment (0 h, n = 1) or 48 h ( n = 1) after intratumoral AAV9-hIFNβ infusion (2E11 vg/brain), stained with H&E (left) and subjected to Visium Spatial Gene Expression profiling (right). Annotated clusters were assigned based on anatomical localization and marker gene expression. Dashed lines denote tumor borders. Scale bars, 1 mm. (B) Top 10 marker genes for each spatially resolved cluster identified across 0 h and 48 h datasets. Values are shown as log-normalized expression centered at 0 (Seurat “scale.data”). (C) Spatial expression of canonical human GBM tumor markers ( CD44 , VIM , TOP2A , and NOTCH1 ) delineating tumor and peri-tumor regions before (0 h) (top) and after (bottom) (48 h) AAV9-hIFNβ treatment. (D) Expression maps of the human IFNβ payload and hallmark IFN-response genes ( CXCL10 , IFIT1 , and IFIT2 ), demonstrating tumor-restricted transgene expression and induction of an IFN-specific transcriptional program within 48 h. (E) Spatial expression of host mouse immune-response genes ( Gfap , Ifitm3 , and Irf7 ) showing localized activation of astroglial and innate immune pathways proximal to the tumor. (F) Integrated datasets (0 and 48 h) visualized using canonical correlation analysis (CCA), showing distinct clustering of tumor and peri-tumor regions (left) and enrichment of IFN-response gene module expression (right). (G) Volcano plot depicting differential gene expression between 0- and 48-h tumor clusters. Red, IFN-response genes; gray, other significantly upregulated genes ( p -Adj <0.01); blue, non-significant. (H) Top enriched Gene Ontology (GO) terms among upregulated genes in 48-h tumor cells, highlighting interferon and inflammatory response pathways (∗∗ p -Adj <0.01; ∗ p -Adj <0.05).

    Article Snippet: 24, 48, 72, and 96 h after treatment, cell supernatants were collected and IFN variant levels were measured using IFN ELISA kits following the manufacturer’s instructions (human IFNα [PBL Cat# 41135-1], human IFNβ [PBL Cat#41410], and human IFNγ [R&D Systems Cat#: DIF50C]).

    Techniques: Spatial Transcriptomics, Staining, Gene Expression, Marker, Expressing, Activation Assay