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human oscc cell lines scc4  (ATCC)


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    Structured Review

    ATCC human oscc cell lines scc4
    Expression landscape of GSDMB across different groups (330 <t>OSCC</t> tissues, 32 normal tissues). A - C Differential expression of GSDMB among Grade categories, age groups, and N stages. D Boxplot showing the expression difference of GSDMB between OSCC cases and controls. E Receiver Operating Characteristic (ROC) curve for GSDMB. F Forest plot from univariate Cox regression analysis based on GSDMB expression levels and prognostic outcomes across various cancers. G Boxplot illustrating differences in GSDMB expression between control and disease groups across pan-cancer samples. “wilcox.test” is used to calculate the significance p-value (* p<0.05, ** p<0.01, *** p<0.001)
    Human Oscc Cell Lines Scc4, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 772 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human oscc cell lines scc4/product/ATCC
    Average 96 stars, based on 772 article reviews
    human oscc cell lines scc4 - by Bioz Stars, 2026-04
    96/100 stars

    Images

    1) Product Images from "Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis"

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    Journal: BMC Oral Health

    doi: 10.1186/s12903-026-07781-1

    Expression landscape of GSDMB across different groups (330 OSCC tissues, 32 normal tissues). A - C Differential expression of GSDMB among Grade categories, age groups, and N stages. D Boxplot showing the expression difference of GSDMB between OSCC cases and controls. E Receiver Operating Characteristic (ROC) curve for GSDMB. F Forest plot from univariate Cox regression analysis based on GSDMB expression levels and prognostic outcomes across various cancers. G Boxplot illustrating differences in GSDMB expression between control and disease groups across pan-cancer samples. “wilcox.test” is used to calculate the significance p-value (* p<0.05, ** p<0.01, *** p<0.001)
    Figure Legend Snippet: Expression landscape of GSDMB across different groups (330 OSCC tissues, 32 normal tissues). A - C Differential expression of GSDMB among Grade categories, age groups, and N stages. D Boxplot showing the expression difference of GSDMB between OSCC cases and controls. E Receiver Operating Characteristic (ROC) curve for GSDMB. F Forest plot from univariate Cox regression analysis based on GSDMB expression levels and prognostic outcomes across various cancers. G Boxplot illustrating differences in GSDMB expression between control and disease groups across pan-cancer samples. “wilcox.test” is used to calculate the significance p-value (* p<0.05, ** p<0.01, *** p<0.001)

    Techniques Used: Expressing, Quantitative Proteomics, Control

    Landscape of Tumor Mutational Burden (TMB) in high and low GSDMB expression groups (318 OSCC tissues). A - B Waterfall plots depicting mutations in high and low GSDMB expression groups. C Boxplot comparing TMB differences between the two groups. D Scatter plot of the correlation between TMB and GSDMB expression levels. E Kaplan-Meier survival curves for high and low TMB groups. F KM survival curves for four sample groups classified by combined TMB and GSDMB expression levels
    Figure Legend Snippet: Landscape of Tumor Mutational Burden (TMB) in high and low GSDMB expression groups (318 OSCC tissues). A - B Waterfall plots depicting mutations in high and low GSDMB expression groups. C Boxplot comparing TMB differences between the two groups. D Scatter plot of the correlation between TMB and GSDMB expression levels. E Kaplan-Meier survival curves for high and low TMB groups. F KM survival curves for four sample groups classified by combined TMB and GSDMB expression levels

    Techniques Used: Expressing

    Analysis of differences between the two groups and GSEA analysis results (330 OSCC tissues). A Volcano plot displaying DEGs. B Heatmap of DEGs illustrating expression levels across samples. C Circle plot combined with a network view of GO/KEGG pathway enrichment analysis. D Bar plot summarizing the results of GO/KEGG enrichment analysis. E - L Gene set enrichment analysis (GSEA) results for key KEGG pathways. Specific pathways include ECM-receptor interaction ( E ), focal adhesion ( F ), MAPK signaling ( G ), natural killer cell-mediated cytotoxicity ( H ), primary immunodeficiency ( I ), T-cell receptor signaling ( J ), TGF-beta signaling ( K ), and Toll-like receptor signaling ( L ). Key statistics (NES: Normalized Enrichment Score; p-value; FDR: False Discovery Rate) are provided in the plots
    Figure Legend Snippet: Analysis of differences between the two groups and GSEA analysis results (330 OSCC tissues). A Volcano plot displaying DEGs. B Heatmap of DEGs illustrating expression levels across samples. C Circle plot combined with a network view of GO/KEGG pathway enrichment analysis. D Bar plot summarizing the results of GO/KEGG enrichment analysis. E - L Gene set enrichment analysis (GSEA) results for key KEGG pathways. Specific pathways include ECM-receptor interaction ( E ), focal adhesion ( F ), MAPK signaling ( G ), natural killer cell-mediated cytotoxicity ( H ), primary immunodeficiency ( I ), T-cell receptor signaling ( J ), TGF-beta signaling ( K ), and Toll-like receptor signaling ( L ). Key statistics (NES: Normalized Enrichment Score; p-value; FDR: False Discovery Rate) are provided in the plots

    Techniques Used: Expressing

    Basic analysis results of scRNA-seq data. A Violin plots of six OSCC samples' scRNA-seq data post-merging and quality control, indicating the number of nonzero-expressed genes per cell, total UMI counts, and mitochondrial gene percentage. B Two-dimensional distribution of six samples with batch effects. C Distribution of different samples after removing batch effects using the
    Figure Legend Snippet: Basic analysis results of scRNA-seq data. A Violin plots of six OSCC samples' scRNA-seq data post-merging and quality control, indicating the number of nonzero-expressed genes per cell, total UMI counts, and mitochondrial gene percentage. B Two-dimensional distribution of six samples with batch effects. C Distribution of different samples after removing batch effects using the "Harmony" package in R. D Heatmap predicting cell cluster identities using the "singleR" software package. E Two-dimensional distribution of different cell types. F Expression of GSDMB in different cell types. G Distribution of six OSCC samples across different cell types

    Techniques Used: Control, Software, Expressing

    Classification of high and low expression cell clusters and GSDMB expression in stRNA-seq data. A All cells were divided into high and low expression clusters based on the median value of GSDMB. B Proportions of different cell types within high and low expression clusters. C Results of GSEA analysis for the two clusters. D Clustering results for four slices based on OSCC stRNA-seq data. E Cell type annotation results for four slices from OSCC stRNA-seq data. F Expression of GSDMB in different cell types
    Figure Legend Snippet: Classification of high and low expression cell clusters and GSDMB expression in stRNA-seq data. A All cells were divided into high and low expression clusters based on the median value of GSDMB. B Proportions of different cell types within high and low expression clusters. C Results of GSEA analysis for the two clusters. D Clustering results for four slices based on OSCC stRNA-seq data. E Cell type annotation results for four slices from OSCC stRNA-seq data. F Expression of GSDMB in different cell types

    Techniques Used: Expressing

    GSDMB silencing attenuates the malignant properties and modulates 5-FU induced pyroptosis related responses in SCC25 cells. A IHC analysis of GSDMB expression in OSCC tissues and normal oral mucosa (n = 40). B – C Western blot analysis of GSDMB protein levels in HOK and OSCC cell lines and in SCC25 cells following siRNA transfection. D Cell viability assessed by the CCK-8 assay. E Representative images and quantification of colony formation. F Wound healing assay evaluating cell migration. G Transwell invasion assay. H Dose–response curves and corresponding IC50 values for 5-fluorouracil (5-FU). I Lactate dehydrogenase (LDH) release assay assessing 5-FU induced lytic cell death. J – K ELISA quantification of IL-1β and IL-18 levels in culture supernatants after 5-FU treatment. (* p < 0.05, ** p < 0.01, *** p < 0.001)
    Figure Legend Snippet: GSDMB silencing attenuates the malignant properties and modulates 5-FU induced pyroptosis related responses in SCC25 cells. A IHC analysis of GSDMB expression in OSCC tissues and normal oral mucosa (n = 40). B – C Western blot analysis of GSDMB protein levels in HOK and OSCC cell lines and in SCC25 cells following siRNA transfection. D Cell viability assessed by the CCK-8 assay. E Representative images and quantification of colony formation. F Wound healing assay evaluating cell migration. G Transwell invasion assay. H Dose–response curves and corresponding IC50 values for 5-fluorouracil (5-FU). I Lactate dehydrogenase (LDH) release assay assessing 5-FU induced lytic cell death. J – K ELISA quantification of IL-1β and IL-18 levels in culture supernatants after 5-FU treatment. (* p < 0.05, ** p < 0.01, *** p < 0.001)

    Techniques Used: Expressing, Western Blot, Transfection, CCK-8 Assay, Wound Healing Assay, Migration, Transwell Invasion Assay, Lactate Dehydrogenase Assay, Enzyme-linked Immunosorbent Assay



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    Image Search Results


    Expression landscape of GSDMB across different groups (330 OSCC tissues, 32 normal tissues). A - C Differential expression of GSDMB among Grade categories, age groups, and N stages. D Boxplot showing the expression difference of GSDMB between OSCC cases and controls. E Receiver Operating Characteristic (ROC) curve for GSDMB. F Forest plot from univariate Cox regression analysis based on GSDMB expression levels and prognostic outcomes across various cancers. G Boxplot illustrating differences in GSDMB expression between control and disease groups across pan-cancer samples. “wilcox.test” is used to calculate the significance p-value (* p<0.05, ** p<0.01, *** p<0.001)

    Journal: BMC Oral Health

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    doi: 10.1186/s12903-026-07781-1

    Figure Lengend Snippet: Expression landscape of GSDMB across different groups (330 OSCC tissues, 32 normal tissues). A - C Differential expression of GSDMB among Grade categories, age groups, and N stages. D Boxplot showing the expression difference of GSDMB between OSCC cases and controls. E Receiver Operating Characteristic (ROC) curve for GSDMB. F Forest plot from univariate Cox regression analysis based on GSDMB expression levels and prognostic outcomes across various cancers. G Boxplot illustrating differences in GSDMB expression between control and disease groups across pan-cancer samples. “wilcox.test” is used to calculate the significance p-value (* p<0.05, ** p<0.01, *** p<0.001)

    Article Snippet: The human OSCC cell lines SCC4 and SCC25 were purchased from the American Type Culture Collection (ATCC, USA).

    Techniques: Expressing, Quantitative Proteomics, Control

    Landscape of Tumor Mutational Burden (TMB) in high and low GSDMB expression groups (318 OSCC tissues). A - B Waterfall plots depicting mutations in high and low GSDMB expression groups. C Boxplot comparing TMB differences between the two groups. D Scatter plot of the correlation between TMB and GSDMB expression levels. E Kaplan-Meier survival curves for high and low TMB groups. F KM survival curves for four sample groups classified by combined TMB and GSDMB expression levels

    Journal: BMC Oral Health

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    doi: 10.1186/s12903-026-07781-1

    Figure Lengend Snippet: Landscape of Tumor Mutational Burden (TMB) in high and low GSDMB expression groups (318 OSCC tissues). A - B Waterfall plots depicting mutations in high and low GSDMB expression groups. C Boxplot comparing TMB differences between the two groups. D Scatter plot of the correlation between TMB and GSDMB expression levels. E Kaplan-Meier survival curves for high and low TMB groups. F KM survival curves for four sample groups classified by combined TMB and GSDMB expression levels

    Article Snippet: The human OSCC cell lines SCC4 and SCC25 were purchased from the American Type Culture Collection (ATCC, USA).

    Techniques: Expressing

    Analysis of differences between the two groups and GSEA analysis results (330 OSCC tissues). A Volcano plot displaying DEGs. B Heatmap of DEGs illustrating expression levels across samples. C Circle plot combined with a network view of GO/KEGG pathway enrichment analysis. D Bar plot summarizing the results of GO/KEGG enrichment analysis. E - L Gene set enrichment analysis (GSEA) results for key KEGG pathways. Specific pathways include ECM-receptor interaction ( E ), focal adhesion ( F ), MAPK signaling ( G ), natural killer cell-mediated cytotoxicity ( H ), primary immunodeficiency ( I ), T-cell receptor signaling ( J ), TGF-beta signaling ( K ), and Toll-like receptor signaling ( L ). Key statistics (NES: Normalized Enrichment Score; p-value; FDR: False Discovery Rate) are provided in the plots

    Journal: BMC Oral Health

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    doi: 10.1186/s12903-026-07781-1

    Figure Lengend Snippet: Analysis of differences between the two groups and GSEA analysis results (330 OSCC tissues). A Volcano plot displaying DEGs. B Heatmap of DEGs illustrating expression levels across samples. C Circle plot combined with a network view of GO/KEGG pathway enrichment analysis. D Bar plot summarizing the results of GO/KEGG enrichment analysis. E - L Gene set enrichment analysis (GSEA) results for key KEGG pathways. Specific pathways include ECM-receptor interaction ( E ), focal adhesion ( F ), MAPK signaling ( G ), natural killer cell-mediated cytotoxicity ( H ), primary immunodeficiency ( I ), T-cell receptor signaling ( J ), TGF-beta signaling ( K ), and Toll-like receptor signaling ( L ). Key statistics (NES: Normalized Enrichment Score; p-value; FDR: False Discovery Rate) are provided in the plots

    Article Snippet: The human OSCC cell lines SCC4 and SCC25 were purchased from the American Type Culture Collection (ATCC, USA).

    Techniques: Expressing

    Basic analysis results of scRNA-seq data. A Violin plots of six OSCC samples' scRNA-seq data post-merging and quality control, indicating the number of nonzero-expressed genes per cell, total UMI counts, and mitochondrial gene percentage. B Two-dimensional distribution of six samples with batch effects. C Distribution of different samples after removing batch effects using the

    Journal: BMC Oral Health

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    doi: 10.1186/s12903-026-07781-1

    Figure Lengend Snippet: Basic analysis results of scRNA-seq data. A Violin plots of six OSCC samples' scRNA-seq data post-merging and quality control, indicating the number of nonzero-expressed genes per cell, total UMI counts, and mitochondrial gene percentage. B Two-dimensional distribution of six samples with batch effects. C Distribution of different samples after removing batch effects using the "Harmony" package in R. D Heatmap predicting cell cluster identities using the "singleR" software package. E Two-dimensional distribution of different cell types. F Expression of GSDMB in different cell types. G Distribution of six OSCC samples across different cell types

    Article Snippet: The human OSCC cell lines SCC4 and SCC25 were purchased from the American Type Culture Collection (ATCC, USA).

    Techniques: Control, Software, Expressing

    Classification of high and low expression cell clusters and GSDMB expression in stRNA-seq data. A All cells were divided into high and low expression clusters based on the median value of GSDMB. B Proportions of different cell types within high and low expression clusters. C Results of GSEA analysis for the two clusters. D Clustering results for four slices based on OSCC stRNA-seq data. E Cell type annotation results for four slices from OSCC stRNA-seq data. F Expression of GSDMB in different cell types

    Journal: BMC Oral Health

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    doi: 10.1186/s12903-026-07781-1

    Figure Lengend Snippet: Classification of high and low expression cell clusters and GSDMB expression in stRNA-seq data. A All cells were divided into high and low expression clusters based on the median value of GSDMB. B Proportions of different cell types within high and low expression clusters. C Results of GSEA analysis for the two clusters. D Clustering results for four slices based on OSCC stRNA-seq data. E Cell type annotation results for four slices from OSCC stRNA-seq data. F Expression of GSDMB in different cell types

    Article Snippet: The human OSCC cell lines SCC4 and SCC25 were purchased from the American Type Culture Collection (ATCC, USA).

    Techniques: Expressing

    GSDMB silencing attenuates the malignant properties and modulates 5-FU induced pyroptosis related responses in SCC25 cells. A IHC analysis of GSDMB expression in OSCC tissues and normal oral mucosa (n = 40). B – C Western blot analysis of GSDMB protein levels in HOK and OSCC cell lines and in SCC25 cells following siRNA transfection. D Cell viability assessed by the CCK-8 assay. E Representative images and quantification of colony formation. F Wound healing assay evaluating cell migration. G Transwell invasion assay. H Dose–response curves and corresponding IC50 values for 5-fluorouracil (5-FU). I Lactate dehydrogenase (LDH) release assay assessing 5-FU induced lytic cell death. J – K ELISA quantification of IL-1β and IL-18 levels in culture supernatants after 5-FU treatment. (* p < 0.05, ** p < 0.01, *** p < 0.001)

    Journal: BMC Oral Health

    Article Title: Expression profile of GSDMB in oral squamous cell carcinoma and its impact on tumor immune microenvironment and prognosis

    doi: 10.1186/s12903-026-07781-1

    Figure Lengend Snippet: GSDMB silencing attenuates the malignant properties and modulates 5-FU induced pyroptosis related responses in SCC25 cells. A IHC analysis of GSDMB expression in OSCC tissues and normal oral mucosa (n = 40). B – C Western blot analysis of GSDMB protein levels in HOK and OSCC cell lines and in SCC25 cells following siRNA transfection. D Cell viability assessed by the CCK-8 assay. E Representative images and quantification of colony formation. F Wound healing assay evaluating cell migration. G Transwell invasion assay. H Dose–response curves and corresponding IC50 values for 5-fluorouracil (5-FU). I Lactate dehydrogenase (LDH) release assay assessing 5-FU induced lytic cell death. J – K ELISA quantification of IL-1β and IL-18 levels in culture supernatants after 5-FU treatment. (* p < 0.05, ** p < 0.01, *** p < 0.001)

    Article Snippet: The human OSCC cell lines SCC4 and SCC25 were purchased from the American Type Culture Collection (ATCC, USA).

    Techniques: Expressing, Western Blot, Transfection, CCK-8 Assay, Wound Healing Assay, Migration, Transwell Invasion Assay, Lactate Dehydrogenase Assay, Enzyme-linked Immunosorbent Assay