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hrp conjugated anti wisp1 antibody from the mousewisp1 quantikine elisa kit  (R&D Systems)


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    R&D Systems hrp conjugated anti wisp1 antibody from the mousewisp1 quantikine elisa kit
    Hrp Conjugated Anti Wisp1 Antibody From The Mousewisp1 Quantikine Elisa Kit, supplied by R&D Systems, used in various techniques. Bioz Stars score: 91/100, based on 9 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/hrp conjugated anti wisp1 antibody from the mousewisp1 quantikine elisa kit/product/R&D Systems
    Average 91 stars, based on 9 article reviews
    hrp conjugated anti wisp1 antibody from the mousewisp1 quantikine elisa kit - by Bioz Stars, 2026-03
    91/100 stars

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    a, Schematic of metastatic progression using labelling-4T1 cells6. b, Experimental design for RNA-seq6. c, Principle Component Analysis (PCA) diagram of CD45-Ter119- cell signatures from metastatic lungs at early (n=3, 10 mice each) and late (n=3, 5 mice each) time points. d, Venn diagram of differentially expressed genes in Cherry-niche from RNA-seq and selected factors common at early and late stages. e, <t>Anti-Wisp1</t> blocking antibody treatment in vivo (n=10, from two independent experiments; data shown on a Tukey plot: box from the 25th to 75th percentiles, the bar is the median and the whiskers from smallest to largest value). f, GSEA correlation from RNA-seq data comparing early (n=3) or late (n=3) Cherry+ samples vs their respective Cherry-controls. g, Representative IF image of lung tissue (n=3 mice): mCherry-labelled micro-metastasis (red), Surfactant protein C (SP-C) (white) and DAPI (blue). Scale bars: main 100μm, inset 10μm (white arrows: mCherry labelled SP-C+ cells). h, Epcam+ cell frequency on Lin-(CD45-CD31-Ter119-) cells in distal lung (Ch-) and Cherry-niche (Ch+) estimated by FACS (n=13). i, Representative FACS plots from (h). Statistical analysis by unpaired two-tailed t-test with Welch’s correction (e), weighted Kolmogorov–Smirnov-like statistic with Benjamini-Hochberg correction (f) and paired two-tailed t-test (h). See Source Data.
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    Image Search Results


    a, Schematic of metastatic progression using labelling-4T1 cells6. b, Experimental design for RNA-seq6. c, Principle Component Analysis (PCA) diagram of CD45-Ter119- cell signatures from metastatic lungs at early (n=3, 10 mice each) and late (n=3, 5 mice each) time points. d, Venn diagram of differentially expressed genes in Cherry-niche from RNA-seq and selected factors common at early and late stages. e, Anti-Wisp1 blocking antibody treatment in vivo (n=10, from two independent experiments; data shown on a Tukey plot: box from the 25th to 75th percentiles, the bar is the median and the whiskers from smallest to largest value). f, GSEA correlation from RNA-seq data comparing early (n=3) or late (n=3) Cherry+ samples vs their respective Cherry-controls. g, Representative IF image of lung tissue (n=3 mice): mCherry-labelled micro-metastasis (red), Surfactant protein C (SP-C) (white) and DAPI (blue). Scale bars: main 100μm, inset 10μm (white arrows: mCherry labelled SP-C+ cells). h, Epcam+ cell frequency on Lin-(CD45-CD31-Ter119-) cells in distal lung (Ch-) and Cherry-niche (Ch+) estimated by FACS (n=13). i, Representative FACS plots from (h). Statistical analysis by unpaired two-tailed t-test with Welch’s correction (e), weighted Kolmogorov–Smirnov-like statistic with Benjamini-Hochberg correction (f) and paired two-tailed t-test (h). See Source Data.

    Journal: Nature

    Article Title: Metastatic niche labelling reveals tissue parenchyma stem cell features

    doi: 10.1038/s41586-019-1487-6

    Figure Lengend Snippet: a, Schematic of metastatic progression using labelling-4T1 cells6. b, Experimental design for RNA-seq6. c, Principle Component Analysis (PCA) diagram of CD45-Ter119- cell signatures from metastatic lungs at early (n=3, 10 mice each) and late (n=3, 5 mice each) time points. d, Venn diagram of differentially expressed genes in Cherry-niche from RNA-seq and selected factors common at early and late stages. e, Anti-Wisp1 blocking antibody treatment in vivo (n=10, from two independent experiments; data shown on a Tukey plot: box from the 25th to 75th percentiles, the bar is the median and the whiskers from smallest to largest value). f, GSEA correlation from RNA-seq data comparing early (n=3) or late (n=3) Cherry+ samples vs their respective Cherry-controls. g, Representative IF image of lung tissue (n=3 mice): mCherry-labelled micro-metastasis (red), Surfactant protein C (SP-C) (white) and DAPI (blue). Scale bars: main 100μm, inset 10μm (white arrows: mCherry labelled SP-C+ cells). h, Epcam+ cell frequency on Lin-(CD45-CD31-Ter119-) cells in distal lung (Ch-) and Cherry-niche (Ch+) estimated by FACS (n=13). i, Representative FACS plots from (h). Statistical analysis by unpaired two-tailed t-test with Welch’s correction (e), weighted Kolmogorov–Smirnov-like statistic with Benjamini-Hochberg correction (f) and paired two-tailed t-test (h). See Source Data.

    Article Snippet: In selected experiments, wells were supplemented with 4-Hydroxy-TEMPO (200μM, Merck Sigma-Aldrich, Germany) or mouse anti-Wisp1 (250ng/ml, MAB1680, R&D, USA).

    Techniques: RNA Sequencing Assay, Blocking Assay, In Vivo, Two Tailed Test