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mouse hepatocytes  (R&D Systems)


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    Structured Review

    R&D Systems mouse hepatocytes
    Mouse Hepatocytes, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 52 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse hepatocytes/product/R&D Systems
    Average 94 stars, based on 52 article reviews
    mouse hepatocytes - by Bioz Stars, 2026-06
    94/100 stars

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    Inosine alleviates palmitic acid (PA)-induced damage in <t>AML12</t> cells. (A,B) Cell viability. (C) The effect of inosine (100 μM) intervention on Bodipy staining in PA-induced AML12 cells. (D) mtROS was detected and quantified by MtSOX in vitro , Scale bar = 200 μm. (E) The effect of inosine (100 μM) intervention on JC-1 staining in PA-induced AML12 cells. (F) The relative expression of genes in lipid accumulation, pro-inflammatory factors, and autophagy. Data are expressed as mean ± SD ( n = 4). $ p < 0.05, $$ p < 0.01 compared with NC group. # p < 0.05, ## p < 0.01 compared with PA group.
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    ATCC transfection mouse hepatocyte aml12 cells
    Inosine alleviates palmitic acid (PA)-induced damage in <t>AML12</t> cells. (A,B) Cell viability. (C) The effect of inosine (100 μM) intervention on Bodipy staining in PA-induced AML12 cells. (D) mtROS was detected and quantified by MtSOX in vitro , Scale bar = 200 μm. (E) The effect of inosine (100 μM) intervention on JC-1 staining in PA-induced AML12 cells. (F) The relative expression of genes in lipid accumulation, pro-inflammatory factors, and autophagy. Data are expressed as mean ± SD ( n = 4). $ p < 0.05, $$ p < 0.01 compared with NC group. # p < 0.05, ## p < 0.01 compared with PA group.
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    ATCC mouse normal hepatocyte cell line aml12
    ( A ) Liver tumor tissues were collected from the HTVi model and clinical patients and subjected to untargeted metabolomic profiling for pathway enrichment. ( B ) Summarized SLC transporters for TCA cycle intermediates. ( C ) Forest plot showing the hazard ratios (HR) for multiple genes encoding SLC transporters of TCA cycle intermediates in HCC. The horizontal line represents the 95% confidence interval. ( D ) Heatmap of detectable SLC transporters for TCA cycle intermediates in heterogeneous primary liver cancer models generated by genome editing of cancer driver genes selected by mutational frequency from human HCC cohorts (PRJNA674008). ( E ) qPCR analysis to screen candidate SLC transporters for HCC progression based on the relative expression of SLC transporters in the HTVi model ( n = 4 for the control group and n = 5 for the model group), mouse HCC Hepa1-6 cells, <t>AML12</t> cells, and MPHs ( n = 3 independent experiments). ( F ) Venn diagram showing the overlap of significantly differentially expressed SLC transporters in the HTVi model, mouse HCC Hepa1-6 cells, and normal hepatocytes (AML12 and MPHs). ( G and H ) SLC13A2 expression in liver tissues from HTVi, AAV-cMYC/nRAS, and STZ-HFD HCC model. The data are presented as means ± SEM. * P < 0.05; ** P < 0.01, two-tailed unpaired Student’s t test. Ctrl, control; n.d., not determined; NS, not significant.
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    R&D Systems mouse hepatocytes
    ( A ) Liver tumor tissues were collected from the HTVi model and clinical patients and subjected to untargeted metabolomic profiling for pathway enrichment. ( B ) Summarized SLC transporters for TCA cycle intermediates. ( C ) Forest plot showing the hazard ratios (HR) for multiple genes encoding SLC transporters of TCA cycle intermediates in HCC. The horizontal line represents the 95% confidence interval. ( D ) Heatmap of detectable SLC transporters for TCA cycle intermediates in heterogeneous primary liver cancer models generated by genome editing of cancer driver genes selected by mutational frequency from human HCC cohorts (PRJNA674008). ( E ) qPCR analysis to screen candidate SLC transporters for HCC progression based on the relative expression of SLC transporters in the HTVi model ( n = 4 for the control group and n = 5 for the model group), mouse HCC Hepa1-6 cells, <t>AML12</t> cells, and MPHs ( n = 3 independent experiments). ( F ) Venn diagram showing the overlap of significantly differentially expressed SLC transporters in the HTVi model, mouse HCC Hepa1-6 cells, and normal hepatocytes (AML12 and MPHs). ( G and H ) SLC13A2 expression in liver tissues from HTVi, AAV-cMYC/nRAS, and STZ-HFD HCC model. The data are presented as means ± SEM. * P < 0.05; ** P < 0.01, two-tailed unpaired Student’s t test. Ctrl, control; n.d., not determined; NS, not significant.
    Mouse Hepatocytes, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse hepatocytes/product/R&D Systems
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      Buy from Supplier

    Image Search Results


    Inosine alleviates palmitic acid (PA)-induced damage in AML12 cells. (A,B) Cell viability. (C) The effect of inosine (100 μM) intervention on Bodipy staining in PA-induced AML12 cells. (D) mtROS was detected and quantified by MtSOX in vitro , Scale bar = 200 μm. (E) The effect of inosine (100 μM) intervention on JC-1 staining in PA-induced AML12 cells. (F) The relative expression of genes in lipid accumulation, pro-inflammatory factors, and autophagy. Data are expressed as mean ± SD ( n = 4). $ p < 0.05, $$ p < 0.01 compared with NC group. # p < 0.05, ## p < 0.01 compared with PA group.

    Journal: Frontiers in Nutrition

    Article Title: Raspberry aqueous extract ameliorates MAFLD in mice by regulating gut microbiota and purine metabolism

    doi: 10.3389/fnut.2026.1818086

    Figure Lengend Snippet: Inosine alleviates palmitic acid (PA)-induced damage in AML12 cells. (A,B) Cell viability. (C) The effect of inosine (100 μM) intervention on Bodipy staining in PA-induced AML12 cells. (D) mtROS was detected and quantified by MtSOX in vitro , Scale bar = 200 μm. (E) The effect of inosine (100 μM) intervention on JC-1 staining in PA-induced AML12 cells. (F) The relative expression of genes in lipid accumulation, pro-inflammatory factors, and autophagy. Data are expressed as mean ± SD ( n = 4). $ p < 0.05, $$ p < 0.01 compared with NC group. # p < 0.05, ## p < 0.01 compared with PA group.

    Article Snippet: AML12 mouse hepatocytes (ATCC) were cultured in DMEM/F12 (319-085-CL, Wisent, China) supplemented with 10% FBS (12003C, Sigma-Aldrich, United States), 1 × ITS (10 μg/mL insulin, 5 μg/mL transferrin, 5 ng/mL selenium; I3146, Sigma-Aldrich, United States), 40 ng/mL dexamethasone (D4902, Sigma-Aldrich, United States), and 1% streptomycin/penicillin/gentamicin (BL141A, Biosharp, China).

    Techniques: Staining, In Vitro, Expressing

    ( A ) Liver tumor tissues were collected from the HTVi model and clinical patients and subjected to untargeted metabolomic profiling for pathway enrichment. ( B ) Summarized SLC transporters for TCA cycle intermediates. ( C ) Forest plot showing the hazard ratios (HR) for multiple genes encoding SLC transporters of TCA cycle intermediates in HCC. The horizontal line represents the 95% confidence interval. ( D ) Heatmap of detectable SLC transporters for TCA cycle intermediates in heterogeneous primary liver cancer models generated by genome editing of cancer driver genes selected by mutational frequency from human HCC cohorts (PRJNA674008). ( E ) qPCR analysis to screen candidate SLC transporters for HCC progression based on the relative expression of SLC transporters in the HTVi model ( n = 4 for the control group and n = 5 for the model group), mouse HCC Hepa1-6 cells, AML12 cells, and MPHs ( n = 3 independent experiments). ( F ) Venn diagram showing the overlap of significantly differentially expressed SLC transporters in the HTVi model, mouse HCC Hepa1-6 cells, and normal hepatocytes (AML12 and MPHs). ( G and H ) SLC13A2 expression in liver tissues from HTVi, AAV-cMYC/nRAS, and STZ-HFD HCC model. The data are presented as means ± SEM. * P < 0.05; ** P < 0.01, two-tailed unpaired Student’s t test. Ctrl, control; n.d., not determined; NS, not significant.

    Journal: Science Advances

    Article Title: SLC13A2-transported citrate remodels transcriptional regulation through protein acetylation to suppress tumor growth

    doi: 10.1126/sciadv.aec4368

    Figure Lengend Snippet: ( A ) Liver tumor tissues were collected from the HTVi model and clinical patients and subjected to untargeted metabolomic profiling for pathway enrichment. ( B ) Summarized SLC transporters for TCA cycle intermediates. ( C ) Forest plot showing the hazard ratios (HR) for multiple genes encoding SLC transporters of TCA cycle intermediates in HCC. The horizontal line represents the 95% confidence interval. ( D ) Heatmap of detectable SLC transporters for TCA cycle intermediates in heterogeneous primary liver cancer models generated by genome editing of cancer driver genes selected by mutational frequency from human HCC cohorts (PRJNA674008). ( E ) qPCR analysis to screen candidate SLC transporters for HCC progression based on the relative expression of SLC transporters in the HTVi model ( n = 4 for the control group and n = 5 for the model group), mouse HCC Hepa1-6 cells, AML12 cells, and MPHs ( n = 3 independent experiments). ( F ) Venn diagram showing the overlap of significantly differentially expressed SLC transporters in the HTVi model, mouse HCC Hepa1-6 cells, and normal hepatocytes (AML12 and MPHs). ( G and H ) SLC13A2 expression in liver tissues from HTVi, AAV-cMYC/nRAS, and STZ-HFD HCC model. The data are presented as means ± SEM. * P < 0.05; ** P < 0.01, two-tailed unpaired Student’s t test. Ctrl, control; n.d., not determined; NS, not significant.

    Article Snippet: The mouse HCC cell line Hepa1-6 and mouse normal hepatocyte cell line AML12 were obtained from the American Type Culture Collection as described previously ( ).

    Techniques: Metabolomic, Generated, Expressing, Control, Two Tailed Test