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combination therapies mouse antibody against pd l1  (Bio X Cell)


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    Bio X Cell combination therapies mouse antibody against pd l1
    In vivo efficacy of the <t>PD-L1</t> antibody in combination to different therapeutic drugs including gemcitabine solution, Abraxane™, paclitaxel in solution, DHA-SBT-1214 in solution and NE-DHA-SBT-1214 against Panc02 induced syngeneic mice tumors. (A)– Graph summarizing all treatment modalities. The values are means ± SD (n=3). Significant differences are indicated as follows: *p < 0.05, and **p< 0.01. (B)– Tumor images taken at the time of harvest from different treatment modalities. (3b-A)– Tumors from mice treated with vehicle; (3b-B)– Three tumors each from PD-L1 (200μg) treated mice; (3b-C, D)–Tumors from Abraxane™ plus IgG or PD-L1 (200μg) treated mice respectively; (3b-E)– Tumors from NE-DHA-SBT-1214 (10mg/kg) plus IgG (200μg) treated mice; (3b-F, G)– Tumors from gemcitabine plus IgG or PD-L1 (200μg) treated mice respectively; (3b-H)– Tumors from NE-DHA-SBT-1214 (10mg/kg) plus PD-L1 (200μg) treated mice; (3b-I, J)– Tumors from NE-DHA-SBT-1214 (25mg/kg) plus IgG or PD-L1 (200μg) treated mice respectively. (C)– Graph for all the tumors from (3B) to show their progression over time.
    Combination Therapies Mouse Antibody Against Pd L1, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 96/100, based on 403 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/single-cell+spatial+transcriptomics+data/pmc06825580-111-4-19?v=Bio+X+Cell
    Average 96 stars, based on 403 article reviews
    combination therapies mouse antibody against pd l1 - by Bioz Stars, 2026-08
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    Images

    1) Product Images from "DHA-SBT-1214 Taxoid Nanoemulsion and Anti-PD-L1 Antibody Combination Therapy Enhances Anti-Tumor Efficacy in a Syngeneic Pancreatic Adenocarcinoma Model"

    Article Title: DHA-SBT-1214 Taxoid Nanoemulsion and Anti-PD-L1 Antibody Combination Therapy Enhances Anti-Tumor Efficacy in a Syngeneic Pancreatic Adenocarcinoma Model

    Journal: Molecular cancer therapeutics

    doi: 10.1158/1535-7163.MCT-18-1046

    In vivo efficacy of the PD-L1 antibody in combination to different therapeutic drugs including gemcitabine solution, Abraxane™, paclitaxel in solution, DHA-SBT-1214 in solution and NE-DHA-SBT-1214 against Panc02 induced syngeneic mice tumors. (A)– Graph summarizing all treatment modalities. The values are means ± SD (n=3). Significant differences are indicated as follows: *p < 0.05, and **p< 0.01. (B)– Tumor images taken at the time of harvest from different treatment modalities. (3b-A)– Tumors from mice treated with vehicle; (3b-B)– Three tumors each from PD-L1 (200μg) treated mice; (3b-C, D)–Tumors from Abraxane™ plus IgG or PD-L1 (200μg) treated mice respectively; (3b-E)– Tumors from NE-DHA-SBT-1214 (10mg/kg) plus IgG (200μg) treated mice; (3b-F, G)– Tumors from gemcitabine plus IgG or PD-L1 (200μg) treated mice respectively; (3b-H)– Tumors from NE-DHA-SBT-1214 (10mg/kg) plus PD-L1 (200μg) treated mice; (3b-I, J)– Tumors from NE-DHA-SBT-1214 (25mg/kg) plus IgG or PD-L1 (200μg) treated mice respectively. (C)– Graph for all the tumors from (3B) to show their progression over time.
    Figure Legend Snippet: In vivo efficacy of the PD-L1 antibody in combination to different therapeutic drugs including gemcitabine solution, Abraxane™, paclitaxel in solution, DHA-SBT-1214 in solution and NE-DHA-SBT-1214 against Panc02 induced syngeneic mice tumors. (A)– Graph summarizing all treatment modalities. The values are means ± SD (n=3). Significant differences are indicated as follows: *p < 0.05, and **p< 0.01. (B)– Tumor images taken at the time of harvest from different treatment modalities. (3b-A)– Tumors from mice treated with vehicle; (3b-B)– Three tumors each from PD-L1 (200μg) treated mice; (3b-C, D)–Tumors from Abraxane™ plus IgG or PD-L1 (200μg) treated mice respectively; (3b-E)– Tumors from NE-DHA-SBT-1214 (10mg/kg) plus IgG (200μg) treated mice; (3b-F, G)– Tumors from gemcitabine plus IgG or PD-L1 (200μg) treated mice respectively; (3b-H)– Tumors from NE-DHA-SBT-1214 (10mg/kg) plus PD-L1 (200μg) treated mice; (3b-I, J)– Tumors from NE-DHA-SBT-1214 (25mg/kg) plus IgG or PD-L1 (200μg) treated mice respectively. (C)– Graph for all the tumors from (3B) to show their progression over time.

    Techniques Used: In Vivo

    In vivo PD-L1 surface protein expression in response to different therapeutic modalities. (A)– mRNA expression of PD-L1 from different mouse tumor treatment groups analyzed using RT-PCR. Relative gene expression for RT-PCR data was calculated relative to murine β-actin. (B)– Tumor tissue lysate from different treated groups was prepared and protein level of different proteins was analyzed using western blotting. (C)– The bands corresponding to PD-L1 were quantified using Image J software and was normalized relative to band intensities for the corresponding Histone 3 loading controls. The bar represents the mean ± standard deviation of data from at least 3 independent experiments; *p<0.05, **p<0.01.
    Figure Legend Snippet: In vivo PD-L1 surface protein expression in response to different therapeutic modalities. (A)– mRNA expression of PD-L1 from different mouse tumor treatment groups analyzed using RT-PCR. Relative gene expression for RT-PCR data was calculated relative to murine β-actin. (B)– Tumor tissue lysate from different treated groups was prepared and protein level of different proteins was analyzed using western blotting. (C)– The bands corresponding to PD-L1 were quantified using Image J software and was normalized relative to band intensities for the corresponding Histone 3 loading controls. The bar represents the mean ± standard deviation of data from at least 3 independent experiments; *p<0.05, **p<0.01.

    Techniques Used: In Vivo, Expressing, Reverse Transcription Polymerase Chain Reaction, Gene Expression, Western Blot, Software, Standard Deviation

    Histopathological evaluation of the Panc02-induced tumor tissues collected from control and different combination treated mice (hematoxylin & eosin staining). Significant reduction in tumor stroma observed with combination of NE-DHA-SBT-1214 and anti-PD-L1 treated groups. The images were taken at 63x magnification.
    Figure Legend Snippet: Histopathological evaluation of the Panc02-induced tumor tissues collected from control and different combination treated mice (hematoxylin & eosin staining). Significant reduction in tumor stroma observed with combination of NE-DHA-SBT-1214 and anti-PD-L1 treated groups. The images were taken at 63x magnification.

    Techniques Used: Control, Staining



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    Image Search Results


    (a) Simplified cross-section of the human epidermis, highlighting squamous cells, melanocytes and basal cells. Coloured regions represent cSCC (green), which originates from squamous cells, melanoma (orange), which originates from melanocytes, and BCC (blue), which originates from basal cells. Two orange melanocytes are shown in the dermal region as occurs in invasive melanoma; other cells in the lower dermis layer are not depicted. (b) Overview of sample design and technologies used to generate data for this project. ROI - region of interest; FOV - field of view; S - cSCC; B - BCC; M - melanoma; HC - healthy (cancer patient); HNC - healthy (non-cancer patient donor). Technologies included are single cell RNA sequencing for fresh samples, single nuclei sequencing for formalin-fixed samples, Visium, Xenium, CosMX, GeoMX DSP for whole transcriptome, GeoMX DSP for proteins, Polaris, RNAscope, the proximal ligation assay, spatial glycomics and CODEX.

    Journal: bioRxiv

    Article Title: Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types

    doi: 10.1101/2025.07.25.666708

    Figure Lengend Snippet: (a) Simplified cross-section of the human epidermis, highlighting squamous cells, melanocytes and basal cells. Coloured regions represent cSCC (green), which originates from squamous cells, melanoma (orange), which originates from melanocytes, and BCC (blue), which originates from basal cells. Two orange melanocytes are shown in the dermal region as occurs in invasive melanoma; other cells in the lower dermis layer are not depicted. (b) Overview of sample design and technologies used to generate data for this project. ROI - region of interest; FOV - field of view; S - cSCC; B - BCC; M - melanoma; HC - healthy (cancer patient); HNC - healthy (non-cancer patient donor). Technologies included are single cell RNA sequencing for fresh samples, single nuclei sequencing for formalin-fixed samples, Visium, Xenium, CosMX, GeoMX DSP for whole transcriptome, GeoMX DSP for proteins, Polaris, RNAscope, the proximal ligation assay, spatial glycomics and CODEX.

    Article Snippet: Cells expressing the two genes are visualized on single-cell level resolution spatial data from STOmics and Curio-Seeker (Takara Bio, USA) melanoma samples and appear to be in spatial proximity ( ).

    Techniques: RNA Sequencing, Sequencing, RNAscope, Ligation

    (a) Gene specificity score (GSS) and association of spatial spots with skin cancer heritability. GSS score for each gene in a spot/cell represents the enrichment of the gene as a top rank most abundant gene in the spot/cell and its neighbour spots/cells in an anatomical region, a spatial domain, or a cell type. The p-value shows the spatial heritability enrichment significance of a spot with a trait based on SNPs mapped to the genes with high GSS scores (one-sided Z-test for stratified coefficient different to 0). The p-value is more significant if the SNPs that are mapped to the high GSS genes explain a higher proportion of heritability for the trait. (b) Cell types with the highest enrichment of heritability explained by SNPs tagged to GSS genes of cells in a cell type. The white asterisks indicate the most enriched cell-type for heritability of cutaneous melanoma, cSCC and BCC traits. (c) gsMAP significance spatial heritability enrichment is shown at single-cell resolution across the tissue (upper tissue plots) or per annotated skin regions (lower violin plots) from the cosMx data of the sample mel48974. (d) LR pairs with significant association with SNP heritability explained by the corresponding cell types. The rectangles show cases where both L and R genes had PCC >0.3 between GSS of the gene and the gsMAP P-values (the significance level for the LD stratified coefficients for the spot bigger than 0). The results suggest which LR pairs are related with the heritability of a cell type pairs. (e) GSS of two LR pairs showing specificity of the L and R genes to tissue regions at the immune-rich dermal layers and the epidermis of the skin. (f) Manhattan plot showing top significant GWAS SNPs co-localizing with genes in melanocytes (red) and T cells (blue) that had the highest Pearson correlation between GSS and the gsMAP trait association P-value or associated with SNPs with genome-wide significance. The Y-axis shows the -log(P-value) from GWAS analysis.

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    doi: 10.1101/2025.07.25.666708

    Figure Lengend Snippet: (a) Gene specificity score (GSS) and association of spatial spots with skin cancer heritability. GSS score for each gene in a spot/cell represents the enrichment of the gene as a top rank most abundant gene in the spot/cell and its neighbour spots/cells in an anatomical region, a spatial domain, or a cell type. The p-value shows the spatial heritability enrichment significance of a spot with a trait based on SNPs mapped to the genes with high GSS scores (one-sided Z-test for stratified coefficient different to 0). The p-value is more significant if the SNPs that are mapped to the high GSS genes explain a higher proportion of heritability for the trait. (b) Cell types with the highest enrichment of heritability explained by SNPs tagged to GSS genes of cells in a cell type. The white asterisks indicate the most enriched cell-type for heritability of cutaneous melanoma, cSCC and BCC traits. (c) gsMAP significance spatial heritability enrichment is shown at single-cell resolution across the tissue (upper tissue plots) or per annotated skin regions (lower violin plots) from the cosMx data of the sample mel48974. (d) LR pairs with significant association with SNP heritability explained by the corresponding cell types. The rectangles show cases where both L and R genes had PCC >0.3 between GSS of the gene and the gsMAP P-values (the significance level for the LD stratified coefficients for the spot bigger than 0). The results suggest which LR pairs are related with the heritability of a cell type pairs. (e) GSS of two LR pairs showing specificity of the L and R genes to tissue regions at the immune-rich dermal layers and the epidermis of the skin. (f) Manhattan plot showing top significant GWAS SNPs co-localizing with genes in melanocytes (red) and T cells (blue) that had the highest Pearson correlation between GSS and the gsMAP trait association P-value or associated with SNPs with genome-wide significance. The Y-axis shows the -log(P-value) from GWAS analysis.

    Article Snippet: Cells expressing the two genes are visualized on single-cell level resolution spatial data from STOmics and Curio-Seeker (Takara Bio, USA) melanoma samples and appear to be in spatial proximity ( ).

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    Journal: Cell

    Article Title: Spatiotemporal analysis of human intestinal development at single-cell resolution

    doi: 10.1016/j.cell.2020.12.016

    Figure Lengend Snippet:

    Article Snippet: STAR-FINDer Single Cell and Spatial Transcriptomics Data Portal , This study , https://simmonslab.shinyapps.io/FetalAtlasDataPortal.

    Techniques: Conjugation Assay, Recombinant, Saline, Modification, Plasmid Preparation, Gene Expression, RNAscope, Generated, Software