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cd45 primary antibody  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc cd45 primary antibody
    Cd45 Primary Antibody, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 28 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cd45 primary antibody/product/Cell Signaling Technology Inc
    Average 94 stars, based on 28 article reviews
    cd45 primary antibody - by Bioz Stars, 2026-04
    94/100 stars

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    A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on <t>CD45</t> + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.
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    A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on <t>CD45</t> + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.
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    Cell Signaling Technology Inc cd45 primary antibody cell signaling 55307s 30 f11
    A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on <t>CD45</t> + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.
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    Proteintech primary antibodies against cd45
    A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on <t>CD45</t> + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.
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    Cell Signaling Technology Inc rabbit monoclonal primary antibody against human cd45
    A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on <t>CD45</t> + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.
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    Image Search Results


    A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on CD45 + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.

    Journal: bioRxiv

    Article Title: An oncogenotype-immunophenotype paradigm governing the myeloid landscape in genetically engineered mouse models of prostate cancer

    doi: 10.1101/2025.10.21.683668

    Figure Lengend Snippet: A distinct myeloid cell distribution across different genotypes of tumor models. (A)Illustration for mouse models used in the study. (B) Kaplan-Meier plot of the survival analysis of four representative tumor models. (C) FACS analyses showing dichotomous infiltration of Ly6G + F4/80 − cells(neutrophils) and Ly6G−F480+ cells (macrophages) in four representative tumor models. Plots are gated on CD45 + CD11b+ cells. The experiments were repeated at least five times with similar results. (D) FACS analyses and quantification showing TIN percentage in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (E) The bar plot of PS tumor weights of vehicle- and SX-682-treated tumor-bearing mice. (F) FACS analyses and quantification showing the percentage of CD3 + CD8 + T cells in the tumor microenvironment of vehicle- and SX-682-treated tumor-bearing mice. Plots are gated on CD45 + cells. (G) FACS analyses of T cell CFSE assay, showing the T cell proliferation after coculturing with TINs purified from PP, PS, PPS tumors. (H) Illustration of the central question: how tumor-intrinsic factors shape NES and MES TMEs to influence tumor progression. Statistical significance: ns p > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001, Unpaired nonparametric Mann Whitney test.

    Article Snippet: Primary antibodies include anti-Mouse-CD45-FITC (Cytek Biosciences, 35-0451-U100, San Diego, CA, USA), anti-Mouse-CD11b-APC (Cytek Biosciences, 20-0112-U100, San Diego, CA, USA), anti-Mouse-Ly6G-PE-Cyanine7 (Cytek Biosciences, 60-1276-U100, San Diego, CA, USA), anti-Mouse-F4/80-PE (Cytek Biosciences, 50-4801-U100, San Diego, CA, USA), anti-Mouse-CD3-APC-Cyanine7 (Cytek Biosciences, 25-0032-U100, San Diego, CA, USA), anti-Mouse-CD8-APC (Cytek Biosciences, 20-0081-U100, San Diego, CA, USA), anti-Mouse-CD4-PE (Cytek Biosciences, 50-0041-U100, San Diego, CA, USA).

    Techniques: CFSE Assay, Purification, MANN-WHITNEY