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human ccrcc cell lines 786 o  (ATCC)


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    ATCC human ccrcc cell lines 786 o
    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, <t>OSRC-2,</t> <t>786-O</t> and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.
    Human Ccrcc Cell Lines 786 O, supplied by ATCC, used in various techniques. Bioz Stars score: 98/100, based on 2188 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human ccrcc cell lines 786 o/product/ATCC
    Average 98 stars, based on 2188 article reviews
    human ccrcc cell lines 786 o - by Bioz Stars, 2026-05
    98/100 stars

    Images

    1) Product Images from "Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway"

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    Journal: Oncology Reports

    doi: 10.3892/or.2026.9119

    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.
    Figure Legend Snippet: MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.

    Techniques Used: Expressing, Generated, Gene Expression, Quantitative Proteomics, Western Blot, Control, Knockdown, Transfection, Functional Assay, Derivative Assay, Small Interfering RNA

    MUC3A knockdown suppresses proliferation and promotes apoptosis in ccRCC cells. (A and B) Cell proliferation of 786-O and OSRC-2 cells following transfection with si-MUC3A or si-Ctrl, as assessed by CCK-8 assays at the indicated time points. (C and D) Colony formation assays showing the clonogenic capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Representative images and quantitative analysis are shown. (E and F) Flow cytometric analysis of apoptosis in 786-O and OSRC-2 cells using Annexin V-FITC/PI staining following MUC3A silencing. Representative dot plots and corresponding quantitative results are presented. All experiments were performed with at least three independent biological replicates (n≥3). Data are presented as the mean ± SD. Statistical significance was determined using a two-tailed unpaired Student's t-test. *P<0.05, **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; PI, propidium iodide; SD, standard deviation; ns, not significant.
    Figure Legend Snippet: MUC3A knockdown suppresses proliferation and promotes apoptosis in ccRCC cells. (A and B) Cell proliferation of 786-O and OSRC-2 cells following transfection with si-MUC3A or si-Ctrl, as assessed by CCK-8 assays at the indicated time points. (C and D) Colony formation assays showing the clonogenic capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Representative images and quantitative analysis are shown. (E and F) Flow cytometric analysis of apoptosis in 786-O and OSRC-2 cells using Annexin V-FITC/PI staining following MUC3A silencing. Representative dot plots and corresponding quantitative results are presented. All experiments were performed with at least three independent biological replicates (n≥3). Data are presented as the mean ± SD. Statistical significance was determined using a two-tailed unpaired Student's t-test. *P<0.05, **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; PI, propidium iodide; SD, standard deviation; ns, not significant.

    Techniques Used: Knockdown, Transfection, CCK-8 Assay, Staining, Two Tailed Test, Cell Counting, Control, Standard Deviation

    MUC3A knockdown inhibits the migration and invasion of ccRCC cells. (A) Transwell migration assays showing the migratory capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Quantitative analysis is shown on the right. (B) Transwell invasion assays performed using Matrigel ® -coated chambers to assess the invasive potential of ccRCC cells after MUC3A silencing. (C) Wound healing assays demonstrating delayed wound closure in 786-O and OSRC-2 cells transfected with si-MUC3A compared with si-Ctrl at 24 h. Representative images and quantitative analyses are shown. Scale bar, 100 µm. All experiments were conducted with at least three independent biological replicates. Data are expressed as the mean ± SD. **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation.
    Figure Legend Snippet: MUC3A knockdown inhibits the migration and invasion of ccRCC cells. (A) Transwell migration assays showing the migratory capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Quantitative analysis is shown on the right. (B) Transwell invasion assays performed using Matrigel ® -coated chambers to assess the invasive potential of ccRCC cells after MUC3A silencing. (C) Wound healing assays demonstrating delayed wound closure in 786-O and OSRC-2 cells transfected with si-MUC3A compared with si-Ctrl at 24 h. Representative images and quantitative analyses are shown. Scale bar, 100 µm. All experiments were conducted with at least three independent biological replicates. Data are expressed as the mean ± SD. **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation.

    Techniques Used: Knockdown, Migration, Transfection, Control, Standard Deviation

    MUC3A is associated with the activation of the JAK-STAT signaling pathway in ccRCC. (A) KEGG pathway enrichment analysis of genes associated with MUC3A expression based on TCGA-KIRC transcriptomic data. (B) GSEA showing significant enrichment of the JAK-STAT signaling pathway in ccRCC samples with a high MUC3A expression. (C and D) Western blotting of total and phosphorylated JAK1, JAK2 and STAT3 in 786-O and OSRC-2 cells following MUC3A knockdown. (E) Western blotting showing that STAT3 activation by Colivelin TFA restores p-STAT3 levels in si-MUC3A-transfected 786-O and OSRC-2 cells, accompanied by increased Bcl-2 and decreased cleaved caspase-3 expression. (F) Western blotting of apoptosis-related proteins Bcl-2 and cleaved caspase-3 following MUC3A silencing. GAPDH served as a loading control. All western blotting experiments were repeated independently at least three times. MUC3A, mucin 3A; JAK, Janus kinase; STAT, signal transducer and activator of transcription; ccRCC, clear cell renal cell carcinoma; KEGG, Kyoto Encyclopedia of Genes and Genomes; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GSEA, gene set enrichment analysis; TFA, trifluoroacetate; p-, phosphorylated.
    Figure Legend Snippet: MUC3A is associated with the activation of the JAK-STAT signaling pathway in ccRCC. (A) KEGG pathway enrichment analysis of genes associated with MUC3A expression based on TCGA-KIRC transcriptomic data. (B) GSEA showing significant enrichment of the JAK-STAT signaling pathway in ccRCC samples with a high MUC3A expression. (C and D) Western blotting of total and phosphorylated JAK1, JAK2 and STAT3 in 786-O and OSRC-2 cells following MUC3A knockdown. (E) Western blotting showing that STAT3 activation by Colivelin TFA restores p-STAT3 levels in si-MUC3A-transfected 786-O and OSRC-2 cells, accompanied by increased Bcl-2 and decreased cleaved caspase-3 expression. (F) Western blotting of apoptosis-related proteins Bcl-2 and cleaved caspase-3 following MUC3A silencing. GAPDH served as a loading control. All western blotting experiments were repeated independently at least three times. MUC3A, mucin 3A; JAK, Janus kinase; STAT, signal transducer and activator of transcription; ccRCC, clear cell renal cell carcinoma; KEGG, Kyoto Encyclopedia of Genes and Genomes; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GSEA, gene set enrichment analysis; TFA, trifluoroacetate; p-, phosphorylated.

    Techniques Used: Activation Assay, Expressing, Western Blot, Knockdown, Transfection, Control

    STAT3 activation partially rescues the effects of MUC3A knockdown in ccRCC cells. (A and B) CCK-8 assays showing that treatment with the STAT3 agonist Colivelin TFA partially restored the proliferation of 786-O and OSRC-2 cells following MUC3A knockdown. (C-F) Flow cytometric analysis demonstrating that Colivelin TFA treatment reverses the apoptosis-promoting effect induced by MUC3A silencing in ccRCC cells. Data are presented as the mean ± SD from at least three independent biological replicates. Statistical significance was assessed using Student's t-test or one-way ANOVA as appropriate. *P<0.05, **P<0.01 and ***P<0.001. STAT3, signal transducer and activator of transcription 3; TFA, trifluoroacetate; MUC3A, mucin 3A; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation; ANOVA, analysis of variance.
    Figure Legend Snippet: STAT3 activation partially rescues the effects of MUC3A knockdown in ccRCC cells. (A and B) CCK-8 assays showing that treatment with the STAT3 agonist Colivelin TFA partially restored the proliferation of 786-O and OSRC-2 cells following MUC3A knockdown. (C-F) Flow cytometric analysis demonstrating that Colivelin TFA treatment reverses the apoptosis-promoting effect induced by MUC3A silencing in ccRCC cells. Data are presented as the mean ± SD from at least three independent biological replicates. Statistical significance was assessed using Student's t-test or one-way ANOVA as appropriate. *P<0.05, **P<0.01 and ***P<0.001. STAT3, signal transducer and activator of transcription 3; TFA, trifluoroacetate; MUC3A, mucin 3A; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation; ANOVA, analysis of variance.

    Techniques Used: Activation Assay, Knockdown, CCK-8 Assay, Cell Counting, Control, Standard Deviation



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    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.

    Journal: Oncology Reports

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    doi: 10.3892/or.2026.9119

    Figure Lengend Snippet: MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.

    Article Snippet: Human ccRCC cell lines 786-O (cat. no. CL-0010), OSRC-2 (cat. no. CL-0177), Caki-1 (cat. no. CL-0052) and ACHN (cat. no. CL-0021), as well as non-malignant renal epithelial cells HK-2 (cat. no. CL-0109; all from Procell Life Science & Technology Co., Ltd.) and RPTEC/TERT1 (cat. no. CRL-4031; American Type Culture Collection), were used in the present study.

    Techniques: Expressing, Generated, Gene Expression, Quantitative Proteomics, Western Blot, Control, Knockdown, Transfection, Functional Assay, Derivative Assay, Small Interfering RNA

    MUC3A knockdown suppresses proliferation and promotes apoptosis in ccRCC cells. (A and B) Cell proliferation of 786-O and OSRC-2 cells following transfection with si-MUC3A or si-Ctrl, as assessed by CCK-8 assays at the indicated time points. (C and D) Colony formation assays showing the clonogenic capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Representative images and quantitative analysis are shown. (E and F) Flow cytometric analysis of apoptosis in 786-O and OSRC-2 cells using Annexin V-FITC/PI staining following MUC3A silencing. Representative dot plots and corresponding quantitative results are presented. All experiments were performed with at least three independent biological replicates (n≥3). Data are presented as the mean ± SD. Statistical significance was determined using a two-tailed unpaired Student's t-test. *P<0.05, **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; PI, propidium iodide; SD, standard deviation; ns, not significant.

    Journal: Oncology Reports

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    doi: 10.3892/or.2026.9119

    Figure Lengend Snippet: MUC3A knockdown suppresses proliferation and promotes apoptosis in ccRCC cells. (A and B) Cell proliferation of 786-O and OSRC-2 cells following transfection with si-MUC3A or si-Ctrl, as assessed by CCK-8 assays at the indicated time points. (C and D) Colony formation assays showing the clonogenic capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Representative images and quantitative analysis are shown. (E and F) Flow cytometric analysis of apoptosis in 786-O and OSRC-2 cells using Annexin V-FITC/PI staining following MUC3A silencing. Representative dot plots and corresponding quantitative results are presented. All experiments were performed with at least three independent biological replicates (n≥3). Data are presented as the mean ± SD. Statistical significance was determined using a two-tailed unpaired Student's t-test. *P<0.05, **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; PI, propidium iodide; SD, standard deviation; ns, not significant.

    Article Snippet: Human ccRCC cell lines 786-O (cat. no. CL-0010), OSRC-2 (cat. no. CL-0177), Caki-1 (cat. no. CL-0052) and ACHN (cat. no. CL-0021), as well as non-malignant renal epithelial cells HK-2 (cat. no. CL-0109; all from Procell Life Science & Technology Co., Ltd.) and RPTEC/TERT1 (cat. no. CRL-4031; American Type Culture Collection), were used in the present study.

    Techniques: Knockdown, Transfection, CCK-8 Assay, Staining, Two Tailed Test, Cell Counting, Control, Standard Deviation

    MUC3A knockdown inhibits the migration and invasion of ccRCC cells. (A) Transwell migration assays showing the migratory capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Quantitative analysis is shown on the right. (B) Transwell invasion assays performed using Matrigel ® -coated chambers to assess the invasive potential of ccRCC cells after MUC3A silencing. (C) Wound healing assays demonstrating delayed wound closure in 786-O and OSRC-2 cells transfected with si-MUC3A compared with si-Ctrl at 24 h. Representative images and quantitative analyses are shown. Scale bar, 100 µm. All experiments were conducted with at least three independent biological replicates. Data are expressed as the mean ± SD. **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation.

    Journal: Oncology Reports

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    doi: 10.3892/or.2026.9119

    Figure Lengend Snippet: MUC3A knockdown inhibits the migration and invasion of ccRCC cells. (A) Transwell migration assays showing the migratory capacity of 786-O and OSRC-2 cells following MUC3A knockdown. Quantitative analysis is shown on the right. (B) Transwell invasion assays performed using Matrigel ® -coated chambers to assess the invasive potential of ccRCC cells after MUC3A silencing. (C) Wound healing assays demonstrating delayed wound closure in 786-O and OSRC-2 cells transfected with si-MUC3A compared with si-Ctrl at 24 h. Representative images and quantitative analyses are shown. Scale bar, 100 µm. All experiments were conducted with at least three independent biological replicates. Data are expressed as the mean ± SD. **P<0.01 and ***P<0.001. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation.

    Article Snippet: Human ccRCC cell lines 786-O (cat. no. CL-0010), OSRC-2 (cat. no. CL-0177), Caki-1 (cat. no. CL-0052) and ACHN (cat. no. CL-0021), as well as non-malignant renal epithelial cells HK-2 (cat. no. CL-0109; all from Procell Life Science & Technology Co., Ltd.) and RPTEC/TERT1 (cat. no. CRL-4031; American Type Culture Collection), were used in the present study.

    Techniques: Knockdown, Migration, Transfection, Control, Standard Deviation

    MUC3A is associated with the activation of the JAK-STAT signaling pathway in ccRCC. (A) KEGG pathway enrichment analysis of genes associated with MUC3A expression based on TCGA-KIRC transcriptomic data. (B) GSEA showing significant enrichment of the JAK-STAT signaling pathway in ccRCC samples with a high MUC3A expression. (C and D) Western blotting of total and phosphorylated JAK1, JAK2 and STAT3 in 786-O and OSRC-2 cells following MUC3A knockdown. (E) Western blotting showing that STAT3 activation by Colivelin TFA restores p-STAT3 levels in si-MUC3A-transfected 786-O and OSRC-2 cells, accompanied by increased Bcl-2 and decreased cleaved caspase-3 expression. (F) Western blotting of apoptosis-related proteins Bcl-2 and cleaved caspase-3 following MUC3A silencing. GAPDH served as a loading control. All western blotting experiments were repeated independently at least three times. MUC3A, mucin 3A; JAK, Janus kinase; STAT, signal transducer and activator of transcription; ccRCC, clear cell renal cell carcinoma; KEGG, Kyoto Encyclopedia of Genes and Genomes; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GSEA, gene set enrichment analysis; TFA, trifluoroacetate; p-, phosphorylated.

    Journal: Oncology Reports

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    doi: 10.3892/or.2026.9119

    Figure Lengend Snippet: MUC3A is associated with the activation of the JAK-STAT signaling pathway in ccRCC. (A) KEGG pathway enrichment analysis of genes associated with MUC3A expression based on TCGA-KIRC transcriptomic data. (B) GSEA showing significant enrichment of the JAK-STAT signaling pathway in ccRCC samples with a high MUC3A expression. (C and D) Western blotting of total and phosphorylated JAK1, JAK2 and STAT3 in 786-O and OSRC-2 cells following MUC3A knockdown. (E) Western blotting showing that STAT3 activation by Colivelin TFA restores p-STAT3 levels in si-MUC3A-transfected 786-O and OSRC-2 cells, accompanied by increased Bcl-2 and decreased cleaved caspase-3 expression. (F) Western blotting of apoptosis-related proteins Bcl-2 and cleaved caspase-3 following MUC3A silencing. GAPDH served as a loading control. All western blotting experiments were repeated independently at least three times. MUC3A, mucin 3A; JAK, Janus kinase; STAT, signal transducer and activator of transcription; ccRCC, clear cell renal cell carcinoma; KEGG, Kyoto Encyclopedia of Genes and Genomes; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GSEA, gene set enrichment analysis; TFA, trifluoroacetate; p-, phosphorylated.

    Article Snippet: Human ccRCC cell lines 786-O (cat. no. CL-0010), OSRC-2 (cat. no. CL-0177), Caki-1 (cat. no. CL-0052) and ACHN (cat. no. CL-0021), as well as non-malignant renal epithelial cells HK-2 (cat. no. CL-0109; all from Procell Life Science & Technology Co., Ltd.) and RPTEC/TERT1 (cat. no. CRL-4031; American Type Culture Collection), were used in the present study.

    Techniques: Activation Assay, Expressing, Western Blot, Knockdown, Transfection, Control

    STAT3 activation partially rescues the effects of MUC3A knockdown in ccRCC cells. (A and B) CCK-8 assays showing that treatment with the STAT3 agonist Colivelin TFA partially restored the proliferation of 786-O and OSRC-2 cells following MUC3A knockdown. (C-F) Flow cytometric analysis demonstrating that Colivelin TFA treatment reverses the apoptosis-promoting effect induced by MUC3A silencing in ccRCC cells. Data are presented as the mean ± SD from at least three independent biological replicates. Statistical significance was assessed using Student's t-test or one-way ANOVA as appropriate. *P<0.05, **P<0.01 and ***P<0.001. STAT3, signal transducer and activator of transcription 3; TFA, trifluoroacetate; MUC3A, mucin 3A; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation; ANOVA, analysis of variance.

    Journal: Oncology Reports

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    doi: 10.3892/or.2026.9119

    Figure Lengend Snippet: STAT3 activation partially rescues the effects of MUC3A knockdown in ccRCC cells. (A and B) CCK-8 assays showing that treatment with the STAT3 agonist Colivelin TFA partially restored the proliferation of 786-O and OSRC-2 cells following MUC3A knockdown. (C-F) Flow cytometric analysis demonstrating that Colivelin TFA treatment reverses the apoptosis-promoting effect induced by MUC3A silencing in ccRCC cells. Data are presented as the mean ± SD from at least three independent biological replicates. Statistical significance was assessed using Student's t-test or one-way ANOVA as appropriate. *P<0.05, **P<0.01 and ***P<0.001. STAT3, signal transducer and activator of transcription 3; TFA, trifluoroacetate; MUC3A, mucin 3A; CCK-8, Cell Counting Kit-8; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; SD, standard deviation; ANOVA, analysis of variance.

    Article Snippet: Human ccRCC cell lines 786-O (cat. no. CL-0010), OSRC-2 (cat. no. CL-0177), Caki-1 (cat. no. CL-0052) and ACHN (cat. no. CL-0021), as well as non-malignant renal epithelial cells HK-2 (cat. no. CL-0109; all from Procell Life Science & Technology Co., Ltd.) and RPTEC/TERT1 (cat. no. CRL-4031; American Type Culture Collection), were used in the present study.

    Techniques: Activation Assay, Knockdown, CCK-8 Assay, Cell Counting, Control, Standard Deviation

    A Progression-Free Survival Kaplan–Meier curves according to CFH expression in the KIRC TCGA cohort ( n = 508). B UMAP displaying CFH expression across labelled Seurat clusters from 20 different ccRCC primary tumors . C Dot plot displaying CFH scaled mean expression levels (dot color) and percentage of cells (dot size) within each Seurat cluster. D Hematoxylin-eosin (H&E) section of a representative primary ccRCC tumor used for spatial transcriptomic analysis (left); Same section displaying labelled spots for CFH and fibroblast signature high and low categories (middle), or CA9 high and low categories (right). Scale bar 1 mm. E Immunofluorescence of CA9 (pink), alpha-SMA (orange) and Factor H (white) of a ccRCC primary tumor. F alpha-SMA (orange) positive CAF presenting positive FH staining (white). G ccRCC cancer cells positive for CA9 (pink) and for FH (white) staining. F , G Nuclei are stained with DAPI (blue).

    Journal: Communications Biology

    Article Title: Intracellular complement Factor H promotes tumor progression through modulation of cell cycle and actin cytoskeleton

    doi: 10.1038/s42003-026-09807-4

    Figure Lengend Snippet: A Progression-Free Survival Kaplan–Meier curves according to CFH expression in the KIRC TCGA cohort ( n = 508). B UMAP displaying CFH expression across labelled Seurat clusters from 20 different ccRCC primary tumors . C Dot plot displaying CFH scaled mean expression levels (dot color) and percentage of cells (dot size) within each Seurat cluster. D Hematoxylin-eosin (H&E) section of a representative primary ccRCC tumor used for spatial transcriptomic analysis (left); Same section displaying labelled spots for CFH and fibroblast signature high and low categories (middle), or CA9 high and low categories (right). Scale bar 1 mm. E Immunofluorescence of CA9 (pink), alpha-SMA (orange) and Factor H (white) of a ccRCC primary tumor. F alpha-SMA (orange) positive CAF presenting positive FH staining (white). G ccRCC cancer cells positive for CA9 (pink) and for FH (white) staining. F , G Nuclei are stained with DAPI (blue).

    Article Snippet: Primary Normal Human Dermal Fibroblasts (NHDF, Promocell C-12302), the human dermal fibroblast cell line BJ (ATCC CRL-2522) and two ccRCC cell lines (A498 and Caki-1, ATCC HTB-44 & HTB-46, respectively, both p53 wild type, the first being VHL mutated, but not the second one) were employed.

    Techniques: Expressing, Immunofluorescence, Staining

    A FH western blot with plasma purified FH along with lysates and SN from A498 and Caki-1 ccRCC cells (left and center, respectively), and BJ fibroblasts (right). B Western blot FH gene silencing validation in lysates from A498 cell (left), Caki-1 cells (center left), BJ fibroblasts (center right) and NHDF primary fibroblasts (right). C Western blot FH gene silencing validation in SN from A498 cell (left), Caki-1 cells (center left), BJ fibroblasts (center right) and NHDF primary fibroblasts (right). D FH quantification by ELISA on the different subcellular BJ fibroblasts’ fractions. Average +/- SD, all data points are presented. E FH and compartment-specific proteins western blot for the different cell fractions in BJ fibroblasts (left), NHDF fibroblasts (center left), A498 cells (center right) and Caki-1 cells (right). Cyto = cytosol fraction, Orga = organelle fraction and Nuc = nuclear fraction. All gel images represent bands from the same experimental run, with separation into two boxes when unrelated intermediate lanes were present in the original blot. F – H Partial co-localization of FH with the nuclear staining: F Confocal microscopy evidencing staining for FH (red, rabbit anti-FH polyclonal, ProteinTech), the nuclear staining (DAPI, blue) and the actin cytoskeleton (phalloidin, green) in A498. G Chromogen staining by immunohistochemistry for FH (Ox24 monoclonal anti-FH, brown) and nuclei (blue) of a section of a ccRCC patient tumor. Scale bar of the main image – 100 µm and of the insert, 50 µm. H Immunofluorescent staining for FH (red, rabbit anti-FH polyclonal, ProteinTech), tumor cells (CA9, white) and nuclei (DAPI) in a section of a ccRCC patient tumor. G , H The inserts represent a zoomed image.

    Journal: Communications Biology

    Article Title: Intracellular complement Factor H promotes tumor progression through modulation of cell cycle and actin cytoskeleton

    doi: 10.1038/s42003-026-09807-4

    Figure Lengend Snippet: A FH western blot with plasma purified FH along with lysates and SN from A498 and Caki-1 ccRCC cells (left and center, respectively), and BJ fibroblasts (right). B Western blot FH gene silencing validation in lysates from A498 cell (left), Caki-1 cells (center left), BJ fibroblasts (center right) and NHDF primary fibroblasts (right). C Western blot FH gene silencing validation in SN from A498 cell (left), Caki-1 cells (center left), BJ fibroblasts (center right) and NHDF primary fibroblasts (right). D FH quantification by ELISA on the different subcellular BJ fibroblasts’ fractions. Average +/- SD, all data points are presented. E FH and compartment-specific proteins western blot for the different cell fractions in BJ fibroblasts (left), NHDF fibroblasts (center left), A498 cells (center right) and Caki-1 cells (right). Cyto = cytosol fraction, Orga = organelle fraction and Nuc = nuclear fraction. All gel images represent bands from the same experimental run, with separation into two boxes when unrelated intermediate lanes were present in the original blot. F – H Partial co-localization of FH with the nuclear staining: F Confocal microscopy evidencing staining for FH (red, rabbit anti-FH polyclonal, ProteinTech), the nuclear staining (DAPI, blue) and the actin cytoskeleton (phalloidin, green) in A498. G Chromogen staining by immunohistochemistry for FH (Ox24 monoclonal anti-FH, brown) and nuclei (blue) of a section of a ccRCC patient tumor. Scale bar of the main image – 100 µm and of the insert, 50 µm. H Immunofluorescent staining for FH (red, rabbit anti-FH polyclonal, ProteinTech), tumor cells (CA9, white) and nuclei (DAPI) in a section of a ccRCC patient tumor. G , H The inserts represent a zoomed image.

    Article Snippet: Primary Normal Human Dermal Fibroblasts (NHDF, Promocell C-12302), the human dermal fibroblast cell line BJ (ATCC CRL-2522) and two ccRCC cell lines (A498 and Caki-1, ATCC HTB-44 & HTB-46, respectively, both p53 wild type, the first being VHL mutated, but not the second one) were employed.

    Techniques: Western Blot, Clinical Proteomics, Purification, Biomarker Discovery, Enzyme-linked Immunosorbent Assay, Staining, Confocal Microscopy, Immunohistochemistry

    A Protein-protein interaction network analysis of common FH interacting proteins within A498 ccRCC cells and BJ fibroblasts (FH immunoprecipitated with anti-C-terminal FH mAb C18/3); STRING Tool, physical subnetwork with at least 0.4 confidence. Top 10 gene-ontology pathways for B the common FH interactors between A498 and BJ cells, C FH interacting candidates in BJ fibroblasts and D FH interactors identified in A498 ccRCC cells. E Protein-protein interaction ELISA dose-response analysis of purified FH binding to intracellular FH interacting candidates. F Validation of the co-immunoprecipitation of E2F3 and CAPZB together with FH. A498 lysate was incubated with anti-C-terminus FH mAb C18/3 (FH) or unspecific isotype control immunoglobuling G (IgG). Immunoprecipitation was then performed on protein A/G beads and proteins were eluted and probed by western blot for FH (upper line), E2F3 (middle line) and CAPZB (lower line). The validation of the target is based on its presence in the immunoprecipitates fraction with anti-FH (ip FH) but not in the one of the control IgG (ip IgG). Input: starting lysate material; SN: supernatant; ip: immunoprecipitates. G Kinetic SPR analysis using purified FH at concentrations ranging from 31.25 nM to 500 nM, twofold dilutions. FH was injected in normal (left) or low (right) ionic strength conditions on its respective FH interacting candidate coated chip for 240 s followed by 240 s dissociation. A 1:1 interaction with a drifting baseline curve was fitted to calculate kinetic parameters. The straight line represents the measured signal. The dotted one represents the kinetic fit. Curves from high to low RU values match the FH concentrations used (high FH, high RU values).

    Journal: Communications Biology

    Article Title: Intracellular complement Factor H promotes tumor progression through modulation of cell cycle and actin cytoskeleton

    doi: 10.1038/s42003-026-09807-4

    Figure Lengend Snippet: A Protein-protein interaction network analysis of common FH interacting proteins within A498 ccRCC cells and BJ fibroblasts (FH immunoprecipitated with anti-C-terminal FH mAb C18/3); STRING Tool, physical subnetwork with at least 0.4 confidence. Top 10 gene-ontology pathways for B the common FH interactors between A498 and BJ cells, C FH interacting candidates in BJ fibroblasts and D FH interactors identified in A498 ccRCC cells. E Protein-protein interaction ELISA dose-response analysis of purified FH binding to intracellular FH interacting candidates. F Validation of the co-immunoprecipitation of E2F3 and CAPZB together with FH. A498 lysate was incubated with anti-C-terminus FH mAb C18/3 (FH) or unspecific isotype control immunoglobuling G (IgG). Immunoprecipitation was then performed on protein A/G beads and proteins were eluted and probed by western blot for FH (upper line), E2F3 (middle line) and CAPZB (lower line). The validation of the target is based on its presence in the immunoprecipitates fraction with anti-FH (ip FH) but not in the one of the control IgG (ip IgG). Input: starting lysate material; SN: supernatant; ip: immunoprecipitates. G Kinetic SPR analysis using purified FH at concentrations ranging from 31.25 nM to 500 nM, twofold dilutions. FH was injected in normal (left) or low (right) ionic strength conditions on its respective FH interacting candidate coated chip for 240 s followed by 240 s dissociation. A 1:1 interaction with a drifting baseline curve was fitted to calculate kinetic parameters. The straight line represents the measured signal. The dotted one represents the kinetic fit. Curves from high to low RU values match the FH concentrations used (high FH, high RU values).

    Article Snippet: Primary Normal Human Dermal Fibroblasts (NHDF, Promocell C-12302), the human dermal fibroblast cell line BJ (ATCC CRL-2522) and two ccRCC cell lines (A498 and Caki-1, ATCC HTB-44 & HTB-46, respectively, both p53 wild type, the first being VHL mutated, but not the second one) were employed.

    Techniques: Immunoprecipitation, Enzyme-linked Immunosorbent Assay, Purification, Binding Assay, Biomarker Discovery, Incubation, Control, Western Blot, Injection

    A IPA comparison analysis of common predicted upstream regulators in siFH vs siC treated A498, Caki-1 and BJ cells. Top 3 upstream regulators across cell lines are annotated and a heatmap with their activation z-score in siFH is presented. B Protein-protein interaction network analysis of common FH interacting proteins and p53; STRING Tool, physical subnetwork with at least 0.4 confidence. C TP53 expression fold change (siFH/siC) for A498, Caki-1 and BJ cells. GSEA plots for the p53 pathway (hallmark gene set) comparing siFH vs siC treated D A498 ccRCC cells, E Caki-1 ccRCC cells and F BJ fibroblasts. Western blot analysis of G total p53 and H phosphorylated p53 S46 levels in the lysates of siC and siFH treated A498 ccRCC cells, Caki-1 ccRCC cells and BJ fibroblasts. I Immunofluorescence staining of p53 (light yellow) and nuclei (blue) of siC (left), siTP53 (left center), siFH (right center) or siTP53 + siFH (right) treated A498 cells (top row) and BJ fibroblasts (bottom row). Arrows indicate representative nuclei positive for p53 staining. The scale bar in the insert is of 100 µm and of the main image – 500 µm. J Evaluation of proliferation (left panels) and mortality (right panels) of siC, siTP53, siFH and siTP53 + siFH treated A498 (top row) and BJ (bottom row) cells. Cell proliferation is shown as inversed Fold Change of CFSE geometric means and mortality is represented as the Fold Change of DAPI stained dead cells. Exact p values indicated on the figures. Brown–Forsythe and Welch ANOVA tests plus post-hoc Tamhane’s T2 multiple comparisons test.

    Journal: Communications Biology

    Article Title: Intracellular complement Factor H promotes tumor progression through modulation of cell cycle and actin cytoskeleton

    doi: 10.1038/s42003-026-09807-4

    Figure Lengend Snippet: A IPA comparison analysis of common predicted upstream regulators in siFH vs siC treated A498, Caki-1 and BJ cells. Top 3 upstream regulators across cell lines are annotated and a heatmap with their activation z-score in siFH is presented. B Protein-protein interaction network analysis of common FH interacting proteins and p53; STRING Tool, physical subnetwork with at least 0.4 confidence. C TP53 expression fold change (siFH/siC) for A498, Caki-1 and BJ cells. GSEA plots for the p53 pathway (hallmark gene set) comparing siFH vs siC treated D A498 ccRCC cells, E Caki-1 ccRCC cells and F BJ fibroblasts. Western blot analysis of G total p53 and H phosphorylated p53 S46 levels in the lysates of siC and siFH treated A498 ccRCC cells, Caki-1 ccRCC cells and BJ fibroblasts. I Immunofluorescence staining of p53 (light yellow) and nuclei (blue) of siC (left), siTP53 (left center), siFH (right center) or siTP53 + siFH (right) treated A498 cells (top row) and BJ fibroblasts (bottom row). Arrows indicate representative nuclei positive for p53 staining. The scale bar in the insert is of 100 µm and of the main image – 500 µm. J Evaluation of proliferation (left panels) and mortality (right panels) of siC, siTP53, siFH and siTP53 + siFH treated A498 (top row) and BJ (bottom row) cells. Cell proliferation is shown as inversed Fold Change of CFSE geometric means and mortality is represented as the Fold Change of DAPI stained dead cells. Exact p values indicated on the figures. Brown–Forsythe and Welch ANOVA tests plus post-hoc Tamhane’s T2 multiple comparisons test.

    Article Snippet: Primary Normal Human Dermal Fibroblasts (NHDF, Promocell C-12302), the human dermal fibroblast cell line BJ (ATCC CRL-2522) and two ccRCC cell lines (A498 and Caki-1, ATCC HTB-44 & HTB-46, respectively, both p53 wild type, the first being VHL mutated, but not the second one) were employed.

    Techniques: Comparison, Activation Assay, Expressing, Western Blot, Immunofluorescence, Staining

    UMAP displaying A the malignant cell states identified by reclustering, and B the proximal tubular cell signature expression across malignant cells. C Dot plot displaying significantly enriched pathways across malignant cell states, scaled mean expression levels (dot color) and percentage of cells (dot size). D Dot plot displaying CFH scaled mean expression levels (dot color) across malignant cell states. E Pseudotime trajectories of malignant cells inferred by Monocle3. Two main branches were identified: Branch 1 representing cells undergoing cell cycle progression, and Branch 2 representing cancer cell differentiation. F Expression of E2F target genes along the trajectory of Branch 1. G Expression of CFH , POLA1 , CCND2 and MKI67 genes along the trajectory of Branch 1. H Immunofluorescence of CA9 (pink), Factor H (white) and Ki67 (light blue) of a ccRCC primary tumor. Representative Ki67 and FH positive (top row), and Ki67 and FH negative (bottom row) cancer cell staining. I Evaluation of Ki67 positive cell frequency in FH positive versus negative ccRCC cancer cells. The exact p value is indicated on the figure. Wilcoxon matched-pairs signed rank test. J Overall Survival Kaplan–Meier curves according to Hedgehog cancer cell signature abundance in the KIRC TCGA cohort ( n = 508). K Proposed mode of action of intracellular FH in ccRCC fibroblasts and cancer cells. Created in BioRender. Roumenina, L. (2025) https://BioRender.com/gtfgxgw .

    Journal: Communications Biology

    Article Title: Intracellular complement Factor H promotes tumor progression through modulation of cell cycle and actin cytoskeleton

    doi: 10.1038/s42003-026-09807-4

    Figure Lengend Snippet: UMAP displaying A the malignant cell states identified by reclustering, and B the proximal tubular cell signature expression across malignant cells. C Dot plot displaying significantly enriched pathways across malignant cell states, scaled mean expression levels (dot color) and percentage of cells (dot size). D Dot plot displaying CFH scaled mean expression levels (dot color) across malignant cell states. E Pseudotime trajectories of malignant cells inferred by Monocle3. Two main branches were identified: Branch 1 representing cells undergoing cell cycle progression, and Branch 2 representing cancer cell differentiation. F Expression of E2F target genes along the trajectory of Branch 1. G Expression of CFH , POLA1 , CCND2 and MKI67 genes along the trajectory of Branch 1. H Immunofluorescence of CA9 (pink), Factor H (white) and Ki67 (light blue) of a ccRCC primary tumor. Representative Ki67 and FH positive (top row), and Ki67 and FH negative (bottom row) cancer cell staining. I Evaluation of Ki67 positive cell frequency in FH positive versus negative ccRCC cancer cells. The exact p value is indicated on the figure. Wilcoxon matched-pairs signed rank test. J Overall Survival Kaplan–Meier curves according to Hedgehog cancer cell signature abundance in the KIRC TCGA cohort ( n = 508). K Proposed mode of action of intracellular FH in ccRCC fibroblasts and cancer cells. Created in BioRender. Roumenina, L. (2025) https://BioRender.com/gtfgxgw .

    Article Snippet: Primary Normal Human Dermal Fibroblasts (NHDF, Promocell C-12302), the human dermal fibroblast cell line BJ (ATCC CRL-2522) and two ccRCC cell lines (A498 and Caki-1, ATCC HTB-44 & HTB-46, respectively, both p53 wild type, the first being VHL mutated, but not the second one) were employed.

    Techniques: Expressing, Cell Differentiation, Immunofluorescence, Staining