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human normal gastric mucosal epithelial cells ges 1  (Procell Inc)

 
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    Procell Inc human normal gastric mucosal epithelial cells ges 1
    A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in <t>GES-1,</t> SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.
    Human Normal Gastric Mucosal Epithelial Cells Ges 1, supplied by Procell Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/normal+gastric+mucosal+epithelial+cells+ges/pmc12830774-70-0-30?v=Procell+Inc
    Average 86 stars, based on 1 article reviews
    human normal gastric mucosal epithelial cells ges 1 - by Bioz Stars, 2026-07
    86/100 stars

    Images

    1) Product Images from "ALDH3A2 negatively orchestrates gastric cancer progression through a synergistic induction of ferroptosis and ferroptosis-driven macrophage reprogramming"

    Article Title: ALDH3A2 negatively orchestrates gastric cancer progression through a synergistic induction of ferroptosis and ferroptosis-driven macrophage reprogramming

    Journal: Cell Death & Disease

    doi: 10.1038/s41419-025-08364-8

    A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.
    Figure Legend Snippet: A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.

    Techniques Used: Immunohistochemistry, Expressing, Quantitative RT-PCR, Western Blot



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    A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in <t>GES-1,</t> SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.
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    A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in <t>GES-1,</t> SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.
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    Image Search Results


    A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.

    Journal: Cell Death & Disease

    Article Title: ALDH3A2 negatively orchestrates gastric cancer progression through a synergistic induction of ferroptosis and ferroptosis-driven macrophage reprogramming

    doi: 10.1038/s41419-025-08364-8

    Figure Lengend Snippet: A Volcano plot of differentially expressed genes between gastric cancer and adjacent non-tumor tissues. B Venn diagram showing the overlap of GC-related differentially expressed genes (DEGs) with ferroptosis-related genes (FerrDb) and mitochondrial dysfunction-related genes (MitoProteome). Prognostic gene screening based on overall survival using Univariate Cox regression ( C ), LASSO Cox analysis ( D , E ), Boruta ( F ), and Random Forest ( G ). H Upset plot showing ALDH3A2, PDK4, and GJA1 as common candidate genes identified across all machine learning methods. I Immunohistochemistry images of ALDH3A2, PDK4, and GJA1 proteins from the Human Protein Atlas. J Relative mRNA expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells assessed by qRT-PCR (n = 4). K Protein expression of ALDH3A2 in GES-1, SGC7901, MGC803, HGC27, and MKN45 cells were assessed by immunoblotting (n = 4). L Relative mRNA expression of PDK4 and GJA1 in GES-1, HGC27, and MGC803 cells assessed by qRT-PCR (n = 4). Statistical significance was determined by an unpaired Student’s t-test. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001; n.s., not significant.

    Article Snippet: Human normal gastric mucosal epithelial cells GES-1, gastric cancer cell lines MGC803, HGC27, SGC7901, MKN45, and human embryonic kidney cells (293 T) used in this study were all sourced from Procell (Wuhan, China).

    Techniques: Immunohistochemistry, Expressing, Quantitative RT-PCR, Western Blot