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cervical cancer cell lines siha  (ATCC)


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    ATCC cervical cancer cell lines siha
    Cervical Cancer Cell Lines Siha, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 2611 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cervical cancer cell lines siha/product/ATCC
    Average 99 stars, based on 2611 article reviews
    cervical cancer cell lines siha - by Bioz Stars, 2026-02
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    ATCC cca cell lines siha
    ( Panel A ) Flow cytometry analysis of cell cycle distribution <t>in</t> <t>CCa</t> cell lines C33A and <t>SiHa</t> following treatment with vehicle control or 10 mM theophylline for 24 and 48 h. Subpanels ( A – D ) depict C33A cells at 24 h ( A , B ) and SiHa cells at 24 h ( C , D ), while subpanels ( E – H ) show C33A cells at 48 h ( E , F ) and SiHa cells at 48 h ( G , H ). ( Panel B ) Quantification of cell cycle phase distribution (G0/G1, S, and G2/M) presented as stacked bar graphs for both C33A and SiHa cells under each treatment condition. Data are expressed as mean ± SEM from three independent experiments. Statistical significance was determined using one-way ANOVA followed by Tukey’s post hoc test for multiple comparisons. Statistical differences are denoted as: (*) p < 0.05, (**) p < 0.01; non-significant differences are indicated as “ns”.
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    ATCC human cca cell lines
    A Schematic workflow of the screening strategy for identifying highly metastatic cervical cancer <t>(CCa)</t> cells. B Venn diagram identifying overlapping upregulated genes via RNA sequencing across the indicated groups. C Relative migration ratios of <t>human</t> lymphatic endothelial cells (HLECs) treated with conditioned medium from CCa cells transfected with shRNAs targeting 26 overlapping genes, compared to control cells. Data are normalized to the control group (set as 1.0). D Western blot analysis of CREB5 protein levels and quantification data in the indicated <t>cell</t> groups. GAPDH served as a loading control. E RT-qPCR quantification of CREB5 mRNA expression in normal cervical tissues ( n = 33) versus CCa samples ( n = 80). F RT-qPCR analysis of CREB5 expression in CCa tissues with lymph node metastasis ( n = 40) versus LNM-negative tissues ( n = 40). G Representative immunohistochemistry (IHC) images of CREB5 staining (left panel) and corresponding IHC scores (right panel) in LNM-positive versus LNM-negative CCa tissues. H , I Immunostaining of D2-40 (a lymphatic endothelial marker) in CREB5-low versus CREB5-high CCa tissues (representative images, H ) and quantitative analysis of lymphatic vessel density (LVD; I ). J Kaplan–Meier survival curves comparing overall survival in CCa patients stratified by CREB5 expression levels (high vs. low).
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    ( Panel A ) Flow cytometry analysis of cell cycle distribution in CCa cell lines C33A and SiHa following treatment with vehicle control or 10 mM theophylline for 24 and 48 h. Subpanels ( A – D ) depict C33A cells at 24 h ( A , B ) and SiHa cells at 24 h ( C , D ), while subpanels ( E – H ) show C33A cells at 48 h ( E , F ) and SiHa cells at 48 h ( G , H ). ( Panel B ) Quantification of cell cycle phase distribution (G0/G1, S, and G2/M) presented as stacked bar graphs for both C33A and SiHa cells under each treatment condition. Data are expressed as mean ± SEM from three independent experiments. Statistical significance was determined using one-way ANOVA followed by Tukey’s post hoc test for multiple comparisons. Statistical differences are denoted as: (*) p < 0.05, (**) p < 0.01; non-significant differences are indicated as “ns”.

    Journal: International Journal of Molecular Sciences

    Article Title: Elucidating Circular Ribonucleic Acid Mechanisms Associated with Splicing Factor 3 Inhibition in Cervical Cancer

    doi: 10.3390/ijms262210883

    Figure Lengend Snippet: ( Panel A ) Flow cytometry analysis of cell cycle distribution in CCa cell lines C33A and SiHa following treatment with vehicle control or 10 mM theophylline for 24 and 48 h. Subpanels ( A – D ) depict C33A cells at 24 h ( A , B ) and SiHa cells at 24 h ( C , D ), while subpanels ( E – H ) show C33A cells at 48 h ( E , F ) and SiHa cells at 48 h ( G , H ). ( Panel B ) Quantification of cell cycle phase distribution (G0/G1, S, and G2/M) presented as stacked bar graphs for both C33A and SiHa cells under each treatment condition. Data are expressed as mean ± SEM from three independent experiments. Statistical significance was determined using one-way ANOVA followed by Tukey’s post hoc test for multiple comparisons. Statistical differences are denoted as: (*) p < 0.05, (**) p < 0.01; non-significant differences are indicated as “ns”.

    Article Snippet: CCa cell lines SiHa (HPV 16+) and C33A (HPV − ) were purchased from the American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: Flow Cytometry, Control

    ( Panel A ) Effects of theophylline (10 mM) on CCa cell line SiHa at 24 ( A – C ) and 48 h ( D – F ). Cells were treated with either vehicle control ( A , D ), positive control (12 μM of cisplatin) ( B , E ) or 10 mM of theophylline ( C , F ) for 24 and 48 h. ( Panel B ) Bar graphs showing the apoptotic effects of 10 mM theophylline on SiHa cells at 24 and 48 h. Statistical significance was performed using ONE-WAY ANOVA followed by Tukey’s post hoc test for multiple comparisons. Statistical analysis is indicated by asterisks, (***) p < 0.001, (****) p < 0.0001; non-significant differences are indicated as “ns”. Data is represented as ±SEM.

    Journal: International Journal of Molecular Sciences

    Article Title: Elucidating Circular Ribonucleic Acid Mechanisms Associated with Splicing Factor 3 Inhibition in Cervical Cancer

    doi: 10.3390/ijms262210883

    Figure Lengend Snippet: ( Panel A ) Effects of theophylline (10 mM) on CCa cell line SiHa at 24 ( A – C ) and 48 h ( D – F ). Cells were treated with either vehicle control ( A , D ), positive control (12 μM of cisplatin) ( B , E ) or 10 mM of theophylline ( C , F ) for 24 and 48 h. ( Panel B ) Bar graphs showing the apoptotic effects of 10 mM theophylline on SiHa cells at 24 and 48 h. Statistical significance was performed using ONE-WAY ANOVA followed by Tukey’s post hoc test for multiple comparisons. Statistical analysis is indicated by asterisks, (***) p < 0.001, (****) p < 0.0001; non-significant differences are indicated as “ns”. Data is represented as ±SEM.

    Article Snippet: CCa cell lines SiHa (HPV 16+) and C33A (HPV − ) were purchased from the American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: Control, Positive Control

    A Schematic workflow of the screening strategy for identifying highly metastatic cervical cancer (CCa) cells. B Venn diagram identifying overlapping upregulated genes via RNA sequencing across the indicated groups. C Relative migration ratios of human lymphatic endothelial cells (HLECs) treated with conditioned medium from CCa cells transfected with shRNAs targeting 26 overlapping genes, compared to control cells. Data are normalized to the control group (set as 1.0). D Western blot analysis of CREB5 protein levels and quantification data in the indicated cell groups. GAPDH served as a loading control. E RT-qPCR quantification of CREB5 mRNA expression in normal cervical tissues ( n = 33) versus CCa samples ( n = 80). F RT-qPCR analysis of CREB5 expression in CCa tissues with lymph node metastasis ( n = 40) versus LNM-negative tissues ( n = 40). G Representative immunohistochemistry (IHC) images of CREB5 staining (left panel) and corresponding IHC scores (right panel) in LNM-positive versus LNM-negative CCa tissues. H , I Immunostaining of D2-40 (a lymphatic endothelial marker) in CREB5-low versus CREB5-high CCa tissues (representative images, H ) and quantitative analysis of lymphatic vessel density (LVD; I ). J Kaplan–Meier survival curves comparing overall survival in CCa patients stratified by CREB5 expression levels (high vs. low).

    Journal: Cell Death Discovery

    Article Title: CREB5 promotes nodal metastasis of cervical cancer by regulation of APLN-induced lymphangiogenesis

    doi: 10.1038/s41420-025-02782-5

    Figure Lengend Snippet: A Schematic workflow of the screening strategy for identifying highly metastatic cervical cancer (CCa) cells. B Venn diagram identifying overlapping upregulated genes via RNA sequencing across the indicated groups. C Relative migration ratios of human lymphatic endothelial cells (HLECs) treated with conditioned medium from CCa cells transfected with shRNAs targeting 26 overlapping genes, compared to control cells. Data are normalized to the control group (set as 1.0). D Western blot analysis of CREB5 protein levels and quantification data in the indicated cell groups. GAPDH served as a loading control. E RT-qPCR quantification of CREB5 mRNA expression in normal cervical tissues ( n = 33) versus CCa samples ( n = 80). F RT-qPCR analysis of CREB5 expression in CCa tissues with lymph node metastasis ( n = 40) versus LNM-negative tissues ( n = 40). G Representative immunohistochemistry (IHC) images of CREB5 staining (left panel) and corresponding IHC scores (right panel) in LNM-positive versus LNM-negative CCa tissues. H , I Immunostaining of D2-40 (a lymphatic endothelial marker) in CREB5-low versus CREB5-high CCa tissues (representative images, H ) and quantitative analysis of lymphatic vessel density (LVD; I ). J Kaplan–Meier survival curves comparing overall survival in CCa patients stratified by CREB5 expression levels (high vs. low).

    Article Snippet: In this research, human CCa cell lines (SiHa and HeLa) were utilized, all procured from the American Type Culture Collection (ATCC).

    Techniques: RNA Sequencing, Migration, Transfection, Control, Western Blot, Quantitative RT-PCR, Expressing, Immunohistochemistry, Staining, Immunostaining, Marker

    A Volcano plot illustrating differentially expressed genes following CREB5-knockdown (shCREB5) compared to control (shGFP) in CCa cells. B Venn diagram identifying the overlap between CREB5-knockdown-induced downregulated genes in CCa cells and lymphangiogenesis-associated genes. C – F RT-PCR analysis demonstrating CREB5-dependent modulation of APLN mRNA levels in indicated cell lines. G – J ELISA quantification confirming CREB5-mediated regulation of secreted APLN protein in corresponding cell models. K ChIP assay validating direct binding of CREB5 to the APLN promoter in SiHa-LNM2 and HeLa-LNM2 cells (IgG as negative control). L Schematic of APLN promoter luciferase reporter constructs with wild-type (WT), canonical motif (TGACG), and non-canonical motif (TGGCG) deletions. M , N Luciferase reporter assays showing CREB5-dependent transcriptional activation of APLN promoter activity in SiHa-LNM2 and HeLa-LNM2 cells. O Positive correlation between CREB5 and APLN mRNA expression in CCa patient specimens. P , Q Representative immunohistochemical images and correlation analysis of CREB5 and APLN protein expression in CCa tissues.

    Journal: Cell Death Discovery

    Article Title: CREB5 promotes nodal metastasis of cervical cancer by regulation of APLN-induced lymphangiogenesis

    doi: 10.1038/s41420-025-02782-5

    Figure Lengend Snippet: A Volcano plot illustrating differentially expressed genes following CREB5-knockdown (shCREB5) compared to control (shGFP) in CCa cells. B Venn diagram identifying the overlap between CREB5-knockdown-induced downregulated genes in CCa cells and lymphangiogenesis-associated genes. C – F RT-PCR analysis demonstrating CREB5-dependent modulation of APLN mRNA levels in indicated cell lines. G – J ELISA quantification confirming CREB5-mediated regulation of secreted APLN protein in corresponding cell models. K ChIP assay validating direct binding of CREB5 to the APLN promoter in SiHa-LNM2 and HeLa-LNM2 cells (IgG as negative control). L Schematic of APLN promoter luciferase reporter constructs with wild-type (WT), canonical motif (TGACG), and non-canonical motif (TGGCG) deletions. M , N Luciferase reporter assays showing CREB5-dependent transcriptional activation of APLN promoter activity in SiHa-LNM2 and HeLa-LNM2 cells. O Positive correlation between CREB5 and APLN mRNA expression in CCa patient specimens. P , Q Representative immunohistochemical images and correlation analysis of CREB5 and APLN protein expression in CCa tissues.

    Article Snippet: In this research, human CCa cell lines (SiHa and HeLa) were utilized, all procured from the American Type Culture Collection (ATCC).

    Techniques: Knockdown, Control, Reverse Transcription Polymerase Chain Reaction, Enzyme-linked Immunosorbent Assay, Binding Assay, Negative Control, Luciferase, Construct, Activation Assay, Activity Assay, Expressing, Immunohistochemical staining