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ab 680 mce  (MedChemExpress)


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    Structured Review

    MedChemExpress ab 680 mce
    Ab 680 Mce, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 94/100, based on 24 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/ab 680 mce/product/MedChemExpress
    Average 94 stars, based on 24 article reviews
    ab 680 mce - by Bioz Stars, 2026-02
    94/100 stars

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    a Differential expression profiles of 31 purine metabolism regulators in normal ( n = 44) and HNSCC samples ( n = 509) from TCGA dataset. b Univariate Cox regression analysis of 23 purine metabolism regulators in TCGA and merge-GEO datasets. c Strategy for sequencing Fadu cells treated with <t>AB680.</t> d Heatmap showing the gene downregulation profile following AB680 treatment. e Biological pathway analysis of Fadu cells after AB680 treatment. f Schematic diagram of the screening strategy for potential receptor-ligand genes in cell-cell communication. g Bubble plot of receptor-ligand interactions between different epithelial cells and myofibroblast, INSR+ endothelial cells, and C1QA+ macrophages. Ns: no significant difference, * P < 0.05, ** P ≤ 0.01, *** P ≤ 0.001.
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    a Differential expression profiles of 31 purine metabolism regulators in normal ( n = 44) and HNSCC samples ( n = 509) from TCGA dataset. b Univariate Cox regression analysis of 23 purine metabolism regulators in TCGA and merge-GEO datasets. c Strategy for sequencing Fadu cells treated with <t>AB680.</t> d Heatmap showing the gene downregulation profile following AB680 treatment. e Biological pathway analysis of Fadu cells after AB680 treatment. f Schematic diagram of the screening strategy for potential receptor-ligand genes in cell-cell communication. g Bubble plot of receptor-ligand interactions between different epithelial cells and myofibroblast, INSR+ endothelial cells, and C1QA+ macrophages. Ns: no significant difference, * P < 0.05, ** P ≤ 0.01, *** P ≤ 0.001.
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    Image Search Results


    a Differential expression profiles of 31 purine metabolism regulators in normal ( n = 44) and HNSCC samples ( n = 509) from TCGA dataset. b Univariate Cox regression analysis of 23 purine metabolism regulators in TCGA and merge-GEO datasets. c Strategy for sequencing Fadu cells treated with AB680. d Heatmap showing the gene downregulation profile following AB680 treatment. e Biological pathway analysis of Fadu cells after AB680 treatment. f Schematic diagram of the screening strategy for potential receptor-ligand genes in cell-cell communication. g Bubble plot of receptor-ligand interactions between different epithelial cells and myofibroblast, INSR+ endothelial cells, and C1QA+ macrophages. Ns: no significant difference, * P < 0.05, ** P ≤ 0.01, *** P ≤ 0.001.

    Journal: NPJ Precision Oncology

    Article Title: Metabolomic and transcriptomic profiling of HNSCC identifies AMIGO2 as a therapeutic target modulating tumor microenvironment

    doi: 10.1038/s41698-025-01132-z

    Figure Lengend Snippet: a Differential expression profiles of 31 purine metabolism regulators in normal ( n = 44) and HNSCC samples ( n = 509) from TCGA dataset. b Univariate Cox regression analysis of 23 purine metabolism regulators in TCGA and merge-GEO datasets. c Strategy for sequencing Fadu cells treated with AB680. d Heatmap showing the gene downregulation profile following AB680 treatment. e Biological pathway analysis of Fadu cells after AB680 treatment. f Schematic diagram of the screening strategy for potential receptor-ligand genes in cell-cell communication. g Bubble plot of receptor-ligand interactions between different epithelial cells and myofibroblast, INSR+ endothelial cells, and C1QA+ macrophages. Ns: no significant difference, * P < 0.05, ** P ≤ 0.01, *** P ≤ 0.001.

    Article Snippet: In addition, to inhibit NT5E enzymatic activity, AB680 (MedChemExpress) was administered intraperitoneally at a dose of 20 mg/kg every four days, starting four days after tumor induction and continuing until the end of the experiment.

    Techniques: Quantitative Proteomics, Sequencing