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anti cdk4  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc anti cdk4
    Anti Cdk4, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 923 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+cdk4+antibody/pm41874002-195-26-27?v=Cell+Signaling+Technology+Inc
    Average 96 stars, based on 923 article reviews
    anti cdk4 - by Bioz Stars, 2026-08
    96/100 stars

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    EEDJF induces G1/S cell cycle arrest in HCT116 cells. (A) Western blot analysis of cell cycle–related proteins (p21, Cyclin D1, and <t>CDK4)</t> following EEDJF treatment. (B) Densitometric quantification of protein expression shown in (A) . Band intensities were quantified using ImageJ software and normalized to β-actin. (C) Flow cytometric analysis of cell cycle distribution after EEDJF treatment. (D,E) Quantitative distribution of cells in G1, S, and G2/M phases. Data are presented as mean ± SD from three independent biological experiments. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
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    Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, <t>CDK4,</t> and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
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    Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, <t>CDK4,</t> and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
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    Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, <t>CDK4,</t> and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
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    Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, <t>CDK4,</t> and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
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    Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, <t>CDK4,</t> and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
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    Image Search Results


    EEDJF induces G1/S cell cycle arrest in HCT116 cells. (A) Western blot analysis of cell cycle–related proteins (p21, Cyclin D1, and CDK4) following EEDJF treatment. (B) Densitometric quantification of protein expression shown in (A) . Band intensities were quantified using ImageJ software and normalized to β-actin. (C) Flow cytometric analysis of cell cycle distribution after EEDJF treatment. (D,E) Quantitative distribution of cells in G1, S, and G2/M phases. Data are presented as mean ± SD from three independent biological experiments. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

    Journal: Frontiers in Pharmacology

    Article Title: Integrated multi-omics analysis suggests the involvement of PI3K-Akt/p21 signaling in the anti-colorectal cancer effects of Diaphragma Juglandis Fructus extract

    doi: 10.3389/fphar.2026.1833123

    Figure Lengend Snippet: EEDJF induces G1/S cell cycle arrest in HCT116 cells. (A) Western blot analysis of cell cycle–related proteins (p21, Cyclin D1, and CDK4) following EEDJF treatment. (B) Densitometric quantification of protein expression shown in (A) . Band intensities were quantified using ImageJ software and normalized to β-actin. (C) Flow cytometric analysis of cell cycle distribution after EEDJF treatment. (D,E) Quantitative distribution of cells in G1, S, and G2/M phases. Data are presented as mean ± SD from three independent biological experiments. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

    Article Snippet: Antibodies were purchased as follows: p-PI3K from Bioss (Beijing, China); PI3K and p21 from Proteintech (Wuhan, China); p-Akt, Cyclin D1, and CDK4 from Wanleibio (Shenyang, China); and total AKT from Cell Signaling Technology (MA, USA).

    Techniques: Western Blot, Expressing, Software

    Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, CDK4, and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.

    Journal: Bioactive Materials

    Article Title: A promising magnesium-related alloy with metabolic reprogramming and antitumor effects in hepatocellular and pancreatic cancer

    doi: 10.1016/j.bioactmat.2025.12.039

    Figure Lengend Snippet: Metabolomic Analysis Reveals Mg and Al-Mg Induce Metabolic Reprogramming in Hepatocellular and Pancreatic Cancer Cells. (A) Metabolomic profiling of PANC-1, PANC-1-Mg, PANC-1-Al-Mg, Huh7, Huh7-Mg, and Huh7-Al-Mg groups using LC-MS identified 1824 metabolites. (B) PCA illustrating clustering among different cell groups. (C) Heatmap showing differential abundances of characteristic metabolites across cell groups. (D) K-means clustering analysis highlighting metabolic differences among the cell groups. (E) Venn diagram displaying common differential metabolites among treatment groups. (F) Volcano plots of differential metabolites following Mg or Al-Mg treatment. (G) KEGG pathway enrichment analysis of differential metabolites. (H) Enrichment distribution of differential metabolites in Huh7 or PANC-1 cells treated with Mg or Al-Mg. (I) Quantitative analysis of intracellular metabolites including L-glutamine, adenine, uridine, cytidine, and guanine by ELISA with Mg or Al-Mg exposure. (J) Western blot analysis of p21, CDK4, and PCNA expression in PANC-1 cells after Mg or Al-Mg exposure. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.

    Article Snippet: After blocking with 5 % nonfat milk for 1 h at room temperature, membranes were incubated overnight at 4 °C with primary antibodies, including AMPK (1:1000, CST, 2532), p-AMPK (1:1000, CST, 2535), CPT1B (1:1000, Proteintech, 22170-1-AP), CDK4 (1:1000, Proteintech, 11026-1-AP), PCNA (1:1000, Proteintech, 10205-2-AP), p21 (1:1000, Proteintech, 10355-1-AP), GAPDH (1:1000, Proteintech, 60004-1-Ig) followed by HRP-conjugated secondary antibody (1:5000, Proteintech, RGAR001) for 1 h at room temperature.

    Techniques: Liquid Chromatography with Mass Spectroscopy, Enzyme-linked Immunosorbent Assay, Western Blot, Expressing