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FAM188B expression is upregulated and associated with poor prognosis in hepatocellular carcinoma (HCC). (A) Expression of FAM188B mRNA in tumor and non-tumor tissues and its association with cancer stage and tumor grade in UALCAN database. (B) The expression of FAM188B protein was evaluated in normal hepatocytes (LX-2) and in hepatocellular carcinoma (HCC) cells (MHCC97H, Huh7, Hep3B and <t>SNU387)</t> by western blot. (C) Validation of FAM188B expression after overexpression in the indicated cell lines using western blotting (n = 3). (D) Proliferation of MHCC97H and Huh7 cells, as detected by performing CCK-8 assays (n = 10). (E) Migratory and invasive capacities of MHCC97H and Huh7 cells within 24 hours, as evaluated using Transwell assays (scale bar, 50 μm) (n = 3). *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, ns, not significant. The data are expressed as the mean ± SD of three independent experiments.
Human Liver Tumor Derived Cell Lines Snu387, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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FAM188B expression is upregulated and associated with poor prognosis in hepatocellular carcinoma (HCC). (A) Expression of FAM188B mRNA in tumor and non-tumor tissues and its association with cancer stage and tumor grade in UALCAN database. (B) The expression of FAM188B protein was evaluated in normal hepatocytes (LX-2) and in hepatocellular carcinoma (HCC) cells (MHCC97H, Huh7, Hep3B and SNU387) by western blot. (C) Validation of FAM188B expression after overexpression in the indicated cell lines using western blotting (n = 3). (D) Proliferation of MHCC97H and Huh7 cells, as detected by performing CCK-8 assays (n = 10). (E) Migratory and invasive capacities of MHCC97H and Huh7 cells within 24 hours, as evaluated using Transwell assays (scale bar, 50 μm) (n = 3). *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, ns, not significant. The data are expressed as the mean ± SD of three independent experiments.

Journal: Journal of Cancer

Article Title: FAM188B promotes progression of hepatocellular carcinoma by regulating YAP/TAZ via interaction with USP10

doi: 10.7150/jca.125659

Figure Lengend Snippet: FAM188B expression is upregulated and associated with poor prognosis in hepatocellular carcinoma (HCC). (A) Expression of FAM188B mRNA in tumor and non-tumor tissues and its association with cancer stage and tumor grade in UALCAN database. (B) The expression of FAM188B protein was evaluated in normal hepatocytes (LX-2) and in hepatocellular carcinoma (HCC) cells (MHCC97H, Huh7, Hep3B and SNU387) by western blot. (C) Validation of FAM188B expression after overexpression in the indicated cell lines using western blotting (n = 3). (D) Proliferation of MHCC97H and Huh7 cells, as detected by performing CCK-8 assays (n = 10). (E) Migratory and invasive capacities of MHCC97H and Huh7 cells within 24 hours, as evaluated using Transwell assays (scale bar, 50 μm) (n = 3). *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, ns, not significant. The data are expressed as the mean ± SD of three independent experiments.

Article Snippet: Human liver tumor-derived cell lines SNU387 and Hep3B, human embryonic kidney HEK293T cells were obtained from the American Type Culture Collection (Manassas, VA, USA) in 2021.

Techniques: Expressing, Western Blot, Biomarker Discovery, Over Expression, CCK-8 Assay

FAM188B interacts with USP10. (A) Schematic illustration of IP and GO enrichment of identified proteins (using all proteins in the species database as the background). Fisher's exact test was used to analyze the significance and P value < 0.05 were considered significant. (B) Expression levels of USP10 mRNA in tumor (n = 374) and non-tumor (n = 50) tissues and its relationship with FAM188B, based on a public database. (C) The protein expression level of USP10 was evaluated in normal hepatocytes (LX-2) and hepatocellular carcinoma (HCC) cells (MHCC97H, Huh7, Hep3B and SNU387) by western blot. (D) Localization of USP10 in HCC cells (scale bar, 20 μm). (E) Co-IP assays to confirm the protein-protein interaction between FAM188B and USP10 in vitro . **p < 0.01, ***p < 0.001. The data are expressed as the mean ± SD of three independent experiments. IP, immunoprecipitation. Co-IP, co-immunoprecipitation.

Journal: Journal of Cancer

Article Title: FAM188B promotes progression of hepatocellular carcinoma by regulating YAP/TAZ via interaction with USP10

doi: 10.7150/jca.125659

Figure Lengend Snippet: FAM188B interacts with USP10. (A) Schematic illustration of IP and GO enrichment of identified proteins (using all proteins in the species database as the background). Fisher's exact test was used to analyze the significance and P value < 0.05 were considered significant. (B) Expression levels of USP10 mRNA in tumor (n = 374) and non-tumor (n = 50) tissues and its relationship with FAM188B, based on a public database. (C) The protein expression level of USP10 was evaluated in normal hepatocytes (LX-2) and hepatocellular carcinoma (HCC) cells (MHCC97H, Huh7, Hep3B and SNU387) by western blot. (D) Localization of USP10 in HCC cells (scale bar, 20 μm). (E) Co-IP assays to confirm the protein-protein interaction between FAM188B and USP10 in vitro . **p < 0.01, ***p < 0.001. The data are expressed as the mean ± SD of three independent experiments. IP, immunoprecipitation. Co-IP, co-immunoprecipitation.

Article Snippet: Human liver tumor-derived cell lines SNU387 and Hep3B, human embryonic kidney HEK293T cells were obtained from the American Type Culture Collection (Manassas, VA, USA) in 2021.

Techniques: Expressing, Western Blot, Co-Immunoprecipitation Assay, In Vitro, Immunoprecipitation

Overall workflow of the proposed liver tumor classification framework. It illustrates the two major components of the system: classification of CT liver images and the integration of explainable AI methods for interpretability.

Journal: Frontiers in Oncology

Article Title: Leveraging deep learning and explainable AI for effective liver tumor classification from CT scan images

doi: 10.3389/fonc.2026.1836325

Figure Lengend Snippet: Overall workflow of the proposed liver tumor classification framework. It illustrates the two major components of the system: classification of CT liver images and the integration of explainable AI methods for interpretability.

Article Snippet: The first is the Liver Tumor Classification dataset from Kaggle Liv , and the second is from the Radiopaedia website Rad ( ).

Techniques:

Classification methodology workflow. Step-by-step pipeline for liver tumor classification, including dataset preparation, preprocessing, augmentation, model training, evaluation, and explainability.

Journal: Frontiers in Oncology

Article Title: Leveraging deep learning and explainable AI for effective liver tumor classification from CT scan images

doi: 10.3389/fonc.2026.1836325

Figure Lengend Snippet: Classification methodology workflow. Step-by-step pipeline for liver tumor classification, including dataset preparation, preprocessing, augmentation, model training, evaluation, and explainability.

Article Snippet: The first is the Liver Tumor Classification dataset from Kaggle Liv , and the second is from the Radiopaedia website Rad ( ).

Techniques: