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human hnscc cell lines scc25  (ATCC)


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    ATCC human hnscc cell lines scc25
    Human Hnscc Cell Lines Scc25, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1347 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hnscc+cell+lines/SCC-25/pm42314513-84-0-16
    Average 97 stars, based on 1347 article reviews
    human hnscc cell lines scc25 - by Bioz Stars, 2026-09
    97/100 stars

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    ATCC hnscc cell lines cal27
    CYP27B1 promotes proliferation, migration, invasion and cisplatin resistance in HNSCC in vitro and in vivo . (A) Protein–protein interaction (PPI) network of CYP27B1 and its interacting partners generated from database analysis, suggesting potential involvement in tumor-related signaling pathways. (B) Western blot analysis of CYP27B1 protein expression in HNSCC cell lines (CNE-2, HN30, FaDu, Detroit 562 and CAL-27). (C) Validation of CYP27B1 knockdown efficiency in <t>CAL27</t> and HN30 cells using shRNA (shCYP27B1). GAPDH was used as a loading control. (D) Cell proliferation assays showing that CYP27B1 knockdown significantly suppresses cell growth in CAL27 and HN30 cells compared with shNC controls. (E) Colony formation assays demonstrating that silencing CYP27B1 markedly reduces clonogenic capacity in CAL27 and HN30 cells. Representative images (left) and quantitative analysis (right) are shown. (F) Wound healing assays showing that CYP27B1 depletion significantly inhibits migratory ability of CAL27 (F) and HN30 (H) cells at 24 h. (G) Transwell migration and invasion assays demonstrating that CYP27B1 knockdown reduces the migratory and invasive capacity of CAL27 (G) and HN30 (I) cells. Representative images (left) and quantitative analyses (right) are shown. (H) Cisplatin dose–response curves in CAL27 and HN30 cells. CYP27B1 knockdown significantly decreases the IC 50 value of cisplatin, indicating enhanced chemosensitivity. (I) Representative images of xenograft tumors derived from shNC and shCYP27B1 HN30 cells. (J,K) Tumor growth curves and final tumor weights of xenografts showing that CYP27B1 silencing significantly suppresses in vivo tumor growth. (L) Hematoxylin and eosin (H&E) staining and Ki-67 immunohistochemical staining of xenograft tumor tissues. CYP27B1 knockdown reduces Ki-67 expression, indicating decreased proliferative activity (Scale bars: 50 μm). Data are presented as mean ± SD. * p < 0.05, ** p < 0.01, *** p < 0.001.
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    Molecular characterization of tumor buds in <t>HNSCC.</t> a Study overview. b Representative H&E-stained image of a selected ROI containing tumor buds with the sampled tumor buds outlined. c The same ROI visualized in the GeoMx DSP platform. d Segmentation of the tumor compartment of the ROI showing the cells selected for profiling. e Intertumoral and f intratumoral DGEA volcano plots. g Intertumoral and h intratumoral enrichment analyses using the MSiGDB HALLMARK gene sets and the differentially expressed genes. i-k PI3K, EGFR, and MAPK PROGENy pathway activation scores by compartment and segment type. Groups with significantly different distributions of PROGENy scores than the tumor buds PROGENy scores after multiple testing correction are marked with an asterisk
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    ATCC inhibitor viability test hnscc cell line fadu
    Molecular characterization of tumor buds in <t>HNSCC.</t> a Study overview. b Representative H&E-stained image of a selected ROI containing tumor buds with the sampled tumor buds outlined. c The same ROI visualized in the GeoMx DSP platform. d Segmentation of the tumor compartment of the ROI showing the cells selected for profiling. e Intertumoral and f intratumoral DGEA volcano plots. g Intertumoral and h intratumoral enrichment analyses using the MSiGDB HALLMARK gene sets and the differentially expressed genes. i-k PI3K, EGFR, and MAPK PROGENy pathway activation scores by compartment and segment type. Groups with significantly different distributions of PROGENy scores than the tumor buds PROGENy scores after multiple testing correction are marked with an asterisk
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    ATCC human hnscc cell lines scc15
    Molecular characterization of tumor buds in <t>HNSCC.</t> a Study overview. b Representative H&E-stained image of a selected ROI containing tumor buds with the sampled tumor buds outlined. c The same ROI visualized in the GeoMx DSP platform. d Segmentation of the tumor compartment of the ROI showing the cells selected for profiling. e Intertumoral and f intratumoral DGEA volcano plots. g Intertumoral and h intratumoral enrichment analyses using the MSiGDB HALLMARK gene sets and the differentially expressed genes. i-k PI3K, EGFR, and MAPK PROGENy pathway activation scores by compartment and segment type. Groups with significantly different distributions of PROGENy scores than the tumor buds PROGENy scores after multiple testing correction are marked with an asterisk
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    Molecular characterization of tumor buds in <t>HNSCC.</t> a Study overview. b Representative H&E-stained image of a selected ROI containing tumor buds with the sampled tumor buds outlined. c The same ROI visualized in the GeoMx DSP platform. d Segmentation of the tumor compartment of the ROI showing the cells selected for profiling. e Intertumoral and f intratumoral DGEA volcano plots. g Intertumoral and h intratumoral enrichment analyses using the MSiGDB HALLMARK gene sets and the differentially expressed genes. i-k PI3K, EGFR, and MAPK PROGENy pathway activation scores by compartment and segment type. Groups with significantly different distributions of PROGENy scores than the tumor buds PROGENy scores after multiple testing correction are marked with an asterisk
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    Image Search Results


    CYP27B1 promotes proliferation, migration, invasion and cisplatin resistance in HNSCC in vitro and in vivo . (A) Protein–protein interaction (PPI) network of CYP27B1 and its interacting partners generated from database analysis, suggesting potential involvement in tumor-related signaling pathways. (B) Western blot analysis of CYP27B1 protein expression in HNSCC cell lines (CNE-2, HN30, FaDu, Detroit 562 and CAL-27). (C) Validation of CYP27B1 knockdown efficiency in CAL27 and HN30 cells using shRNA (shCYP27B1). GAPDH was used as a loading control. (D) Cell proliferation assays showing that CYP27B1 knockdown significantly suppresses cell growth in CAL27 and HN30 cells compared with shNC controls. (E) Colony formation assays demonstrating that silencing CYP27B1 markedly reduces clonogenic capacity in CAL27 and HN30 cells. Representative images (left) and quantitative analysis (right) are shown. (F) Wound healing assays showing that CYP27B1 depletion significantly inhibits migratory ability of CAL27 (F) and HN30 (H) cells at 24 h. (G) Transwell migration and invasion assays demonstrating that CYP27B1 knockdown reduces the migratory and invasive capacity of CAL27 (G) and HN30 (I) cells. Representative images (left) and quantitative analyses (right) are shown. (H) Cisplatin dose–response curves in CAL27 and HN30 cells. CYP27B1 knockdown significantly decreases the IC 50 value of cisplatin, indicating enhanced chemosensitivity. (I) Representative images of xenograft tumors derived from shNC and shCYP27B1 HN30 cells. (J,K) Tumor growth curves and final tumor weights of xenografts showing that CYP27B1 silencing significantly suppresses in vivo tumor growth. (L) Hematoxylin and eosin (H&E) staining and Ki-67 immunohistochemical staining of xenograft tumor tissues. CYP27B1 knockdown reduces Ki-67 expression, indicating decreased proliferative activity (Scale bars: 50 μm). Data are presented as mean ± SD. * p < 0.05, ** p < 0.01, *** p < 0.001.

    Journal: Frontiers in Medicine

    Article Title: Folate metabolism–based risk stratification identifies CYP27B1 as a determinant of tumor progression in HNSCC

    doi: 10.3389/fmed.2026.1814665

    Figure Lengend Snippet: CYP27B1 promotes proliferation, migration, invasion and cisplatin resistance in HNSCC in vitro and in vivo . (A) Protein–protein interaction (PPI) network of CYP27B1 and its interacting partners generated from database analysis, suggesting potential involvement in tumor-related signaling pathways. (B) Western blot analysis of CYP27B1 protein expression in HNSCC cell lines (CNE-2, HN30, FaDu, Detroit 562 and CAL-27). (C) Validation of CYP27B1 knockdown efficiency in CAL27 and HN30 cells using shRNA (shCYP27B1). GAPDH was used as a loading control. (D) Cell proliferation assays showing that CYP27B1 knockdown significantly suppresses cell growth in CAL27 and HN30 cells compared with shNC controls. (E) Colony formation assays demonstrating that silencing CYP27B1 markedly reduces clonogenic capacity in CAL27 and HN30 cells. Representative images (left) and quantitative analysis (right) are shown. (F) Wound healing assays showing that CYP27B1 depletion significantly inhibits migratory ability of CAL27 (F) and HN30 (H) cells at 24 h. (G) Transwell migration and invasion assays demonstrating that CYP27B1 knockdown reduces the migratory and invasive capacity of CAL27 (G) and HN30 (I) cells. Representative images (left) and quantitative analyses (right) are shown. (H) Cisplatin dose–response curves in CAL27 and HN30 cells. CYP27B1 knockdown significantly decreases the IC 50 value of cisplatin, indicating enhanced chemosensitivity. (I) Representative images of xenograft tumors derived from shNC and shCYP27B1 HN30 cells. (J,K) Tumor growth curves and final tumor weights of xenografts showing that CYP27B1 silencing significantly suppresses in vivo tumor growth. (L) Hematoxylin and eosin (H&E) staining and Ki-67 immunohistochemical staining of xenograft tumor tissues. CYP27B1 knockdown reduces Ki-67 expression, indicating decreased proliferative activity (Scale bars: 50 μm). Data are presented as mean ± SD. * p < 0.05, ** p < 0.01, *** p < 0.001.

    Article Snippet: HNSCC cell lines CAL27 and HN30 were purchased from ATCC (United States).

    Techniques: Migration, In Vitro, In Vivo, Generated, Protein-Protein interactions, Western Blot, Expressing, Biomarker Discovery, Knockdown, shRNA, Control, Derivative Assay, Staining, Immunohistochemical staining, Activity Assay

    Molecular characterization of tumor buds in HNSCC. a Study overview. b Representative H&E-stained image of a selected ROI containing tumor buds with the sampled tumor buds outlined. c The same ROI visualized in the GeoMx DSP platform. d Segmentation of the tumor compartment of the ROI showing the cells selected for profiling. e Intertumoral and f intratumoral DGEA volcano plots. g Intertumoral and h intratumoral enrichment analyses using the MSiGDB HALLMARK gene sets and the differentially expressed genes. i-k PI3K, EGFR, and MAPK PROGENy pathway activation scores by compartment and segment type. Groups with significantly different distributions of PROGENy scores than the tumor buds PROGENy scores after multiple testing correction are marked with an asterisk

    Journal: Genome Medicine

    Article Title: Spatial transcriptomics reveals a molecular tumor budding signature in head and neck cancer

    doi: 10.1186/s13073-026-01612-2

    Figure Lengend Snippet: Molecular characterization of tumor buds in HNSCC. a Study overview. b Representative H&E-stained image of a selected ROI containing tumor buds with the sampled tumor buds outlined. c The same ROI visualized in the GeoMx DSP platform. d Segmentation of the tumor compartment of the ROI showing the cells selected for profiling. e Intertumoral and f intratumoral DGEA volcano plots. g Intertumoral and h intratumoral enrichment analyses using the MSiGDB HALLMARK gene sets and the differentially expressed genes. i-k PI3K, EGFR, and MAPK PROGENy pathway activation scores by compartment and segment type. Groups with significantly different distributions of PROGENy scores than the tumor buds PROGENy scores after multiple testing correction are marked with an asterisk

    Article Snippet: HNSCC cell line FaDu was purchased from ATCC (Manassas, VA, USA), regularly mycoplasma-tested, and verified via short-tandem repeat analysis.

    Techniques: Staining, Activation Assay

    TBS correlates with EGFR-activity subtypes and is enhanced at the tumor leading edge. a EGFR-activity subtypes were inferred in HPV-neg. single malignant cells of GSE181919 by NMF using the REACTOME EGFR activity signature ( n = 50 genes). Subtypes are depicted in a uMAP along with inferred EGFR activity, EMT score, and TBS. b The TBS (centered, SD-normalized) is depicted across HPV-neg. single malignant cells within the indicated EGFR-subtypes. *** indicates a p -value < 0.001 (one-way ANOVA). c EMT scores, EGFR-activity, TBS (centered, SD-normalized), and EpCAM and LAMC2 expression are depicted for all HPV-neg. malignant cells of GSE181919 . d Correlation of the TBS (centered, SD-normalized) with EGFR signaling (left) and EMT (right) are shown as dot plots with Pearson correlation values. e Shown is a Venn representation of the intersection of genes from the TBS, the invasive cell signature (invCell-sig, and the invasive gene regulatory network (invGRN) (both described in Zhou et al. 2025 ). f Representative example of the TBS distribution within the tumor core, the leading edge, and the transitory regions of HNSCC. Shown are an H&E staining, a heatmap of the TBS, and a spot annotation for patient 32 of GSE208253 . g The TBS (centered, SD-normalized) for tumor core, the leading edge, and the transitory regions of HNSCC ( n = 11) of GSE208253 are depicted as raincloud plots

    Journal: Genome Medicine

    Article Title: Spatial transcriptomics reveals a molecular tumor budding signature in head and neck cancer

    doi: 10.1186/s13073-026-01612-2

    Figure Lengend Snippet: TBS correlates with EGFR-activity subtypes and is enhanced at the tumor leading edge. a EGFR-activity subtypes were inferred in HPV-neg. single malignant cells of GSE181919 by NMF using the REACTOME EGFR activity signature ( n = 50 genes). Subtypes are depicted in a uMAP along with inferred EGFR activity, EMT score, and TBS. b The TBS (centered, SD-normalized) is depicted across HPV-neg. single malignant cells within the indicated EGFR-subtypes. *** indicates a p -value < 0.001 (one-way ANOVA). c EMT scores, EGFR-activity, TBS (centered, SD-normalized), and EpCAM and LAMC2 expression are depicted for all HPV-neg. malignant cells of GSE181919 . d Correlation of the TBS (centered, SD-normalized) with EGFR signaling (left) and EMT (right) are shown as dot plots with Pearson correlation values. e Shown is a Venn representation of the intersection of genes from the TBS, the invasive cell signature (invCell-sig, and the invasive gene regulatory network (invGRN) (both described in Zhou et al. 2025 ). f Representative example of the TBS distribution within the tumor core, the leading edge, and the transitory regions of HNSCC. Shown are an H&E staining, a heatmap of the TBS, and a spot annotation for patient 32 of GSE208253 . g The TBS (centered, SD-normalized) for tumor core, the leading edge, and the transitory regions of HNSCC ( n = 11) of GSE208253 are depicted as raincloud plots

    Article Snippet: HNSCC cell line FaDu was purchased from ATCC (Manassas, VA, USA), regularly mycoplasma-tested, and verified via short-tandem repeat analysis.

    Techniques: Activity Assay, Expressing, Staining

    Evaluation of partial EMT (pEMT) phenotypes. a Epithelial and mesenchymal profiling of the spatial transcriptomics compartments and b the primary cancer cells from the scRNA-seq HNSCC dataset. Genes in red were overexpressed DEGs in tumor buds (spatial transcriptomics intratumoral comparison) or in TBS high cells (scRNAseq), while genes in green were underexpressed DEGs. c Correlation of TBS and the 15-gene pEMT score of tumor ROIs/AOIs in the spatial transcriptomics dataset. d Correlation of TBS and the 15-gene pEMT score of primary tumor cells in the scRNAseq dataset ( GSE103322 )

    Journal: Genome Medicine

    Article Title: Spatial transcriptomics reveals a molecular tumor budding signature in head and neck cancer

    doi: 10.1186/s13073-026-01612-2

    Figure Lengend Snippet: Evaluation of partial EMT (pEMT) phenotypes. a Epithelial and mesenchymal profiling of the spatial transcriptomics compartments and b the primary cancer cells from the scRNA-seq HNSCC dataset. Genes in red were overexpressed DEGs in tumor buds (spatial transcriptomics intratumoral comparison) or in TBS high cells (scRNAseq), while genes in green were underexpressed DEGs. c Correlation of TBS and the 15-gene pEMT score of tumor ROIs/AOIs in the spatial transcriptomics dataset. d Correlation of TBS and the 15-gene pEMT score of primary tumor cells in the scRNAseq dataset ( GSE103322 )

    Article Snippet: HNSCC cell line FaDu was purchased from ATCC (Manassas, VA, USA), regularly mycoplasma-tested, and verified via short-tandem repeat analysis.

    Techniques: Spatial Transcriptomics, Comparison

    Drug responses of SCC cell lines by tumor budding signature (TBS). a Overview of the Spearman correlation coefficients for the pooled SCCs and for each cancer entity separately. MEK inhibitors are marked with a grey bar. Asterisks indicate significance after multiple testing correction (FDR 5%). b-d Selected examples of drugs for which the cell lines’ TBS correlated with their responses to the drug. The x axis refers to the log2-fold-change viability values from PRISM. The circles refer to HNSCC, the triangles to esophageal squamous cell carcinoma, and the squares to lung squamous cell carcinoma cell lines. The FaDu cell line is marked in blue. e TBS score of the FaDu cell line under serum-free (FaDu control) and EGF-treated (FaDu EGF 9nM) conditions after six and 72 h. f Local invasion induced by EGF treatment was assessed in a 3D-model of FaDu cell spheroid embedded in collagen I. Shown are representative micrographs of FaDu spheroids in the absence of growth factors (SF; serum-free) and after treatment with 9 nM EGF. Co-treatment with cetuximab and avutometinib are indicated. Yellow lines denote the original spheroid, invasive area, and invasive distance. The viability of FaDu cells after avutometinib treatment at increasing concentrations was assessed by WST-8 assay. Shown are mean with SD from n = 3 independent experiments. g Invasive area and distance of FaDu cell spheroid treated with the indicated compounds was quantified and is represented as mean with SD from n = 3 independent experiments performed with minimum five spheroids per treatment and experiment. SF: serum-free; EGF: EGF treatment only; EGF + Cet: EGF and cetuximab co-treatment; EGF + Avo 10 nM: EGF and avutometinib (10nM) co-treatment; EGF + Avo 25 nM: EGF and avutometinib (25nM) co-treatment. P -value ** < 0.01, *** < 0.001, **** < 0.0001

    Journal: Genome Medicine

    Article Title: Spatial transcriptomics reveals a molecular tumor budding signature in head and neck cancer

    doi: 10.1186/s13073-026-01612-2

    Figure Lengend Snippet: Drug responses of SCC cell lines by tumor budding signature (TBS). a Overview of the Spearman correlation coefficients for the pooled SCCs and for each cancer entity separately. MEK inhibitors are marked with a grey bar. Asterisks indicate significance after multiple testing correction (FDR 5%). b-d Selected examples of drugs for which the cell lines’ TBS correlated with their responses to the drug. The x axis refers to the log2-fold-change viability values from PRISM. The circles refer to HNSCC, the triangles to esophageal squamous cell carcinoma, and the squares to lung squamous cell carcinoma cell lines. The FaDu cell line is marked in blue. e TBS score of the FaDu cell line under serum-free (FaDu control) and EGF-treated (FaDu EGF 9nM) conditions after six and 72 h. f Local invasion induced by EGF treatment was assessed in a 3D-model of FaDu cell spheroid embedded in collagen I. Shown are representative micrographs of FaDu spheroids in the absence of growth factors (SF; serum-free) and after treatment with 9 nM EGF. Co-treatment with cetuximab and avutometinib are indicated. Yellow lines denote the original spheroid, invasive area, and invasive distance. The viability of FaDu cells after avutometinib treatment at increasing concentrations was assessed by WST-8 assay. Shown are mean with SD from n = 3 independent experiments. g Invasive area and distance of FaDu cell spheroid treated with the indicated compounds was quantified and is represented as mean with SD from n = 3 independent experiments performed with minimum five spheroids per treatment and experiment. SF: serum-free; EGF: EGF treatment only; EGF + Cet: EGF and cetuximab co-treatment; EGF + Avo 10 nM: EGF and avutometinib (10nM) co-treatment; EGF + Avo 25 nM: EGF and avutometinib (25nM) co-treatment. P -value ** < 0.01, *** < 0.001, **** < 0.0001

    Article Snippet: HNSCC cell line FaDu was purchased from ATCC (Manassas, VA, USA), regularly mycoplasma-tested, and verified via short-tandem repeat analysis.

    Techniques: Control