pax8 Search Results


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Novus Biologicals pax8
(A) Unsupervised hierarchical clustering of MECOM , <t>PAX8</t> , SOX17 and WT1 mRNA expression in the pan-normal GTEx dataset. TCGA data was clustered based on the 5 main clusters of TF expression from GTEx. MTF low = Cluster of tissues that did not or lowly expressed MTFs, MTF high = cluster of tissues that moderately or highly expressed all four MTFs, M high = Cluster of tissues that highly expressed MECOM, M&P high = cluster of tissues that highly expressed both MECOM and PAX8, P high = cluster of tissues that expresses PAX8 and S high = cluster of tissues that expresses SOX17). (B) A boxplot of the average Pearson correlation values of MECOM, PAX8, SOX17 and WT1. Ranked from highest average Pearson correlation value to lowest. (C) A boxplot representing the mean positivity rate of MECOM, PAX8, SOX17 and WT1 expression in each histotype. In B and C, the limits of the boxes represent the interquartile range, and the limits of error bars represent the minimum and maximum value without outliers (D) Ratio of samples with number of co-stained TFs based on a 0.1 positivity rate threshold.
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Proteintech pax8
Fig. 2. Ovarian cancer organoid characterization. (A) H&E staining of organoids from six patients (OV075, OV076, OV077, OV078, OV080, and OV082), showcasing cellular arrangement and tissue structure. (B) <t>PAX8</t> staining confirms the organoids’ ovarian epithelial origin. (C) Ki67 staining assesses the organoids’ proliferative activity. Scale Bar: 20 µm.
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Proteintech box 8
Fig. 2. Ovarian cancer organoid characterization. (A) H&E staining of organoids from six patients (OV075, OV076, OV077, OV078, OV080, and OV082), showcasing cellular arrangement and tissue structure. (B) <t>PAX8</t> staining confirms the organoids’ ovarian epithelial origin. (C) Ki67 staining assesses the organoids’ proliferative activity. Scale Bar: 20 µm.
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Novus Biologicals antibodies against pax8
Fig. 4 Skp2 mediate <t>PAX8</t> protein ubiquitination and degradation. a, b Western blot and qRT-PCR analysis of PAX8 expression in HepG2 cells following transfected with the indicated dose of Skp2-specific siRNA or control siRNA. c, d Western blot analysis of PAX8 and His-Skp2 in HepG2 or HEK293T cells following inducing variable levels of His-Skp2. +:2 ug, ++:3 ug, +++:4 ug. e Treatment with MG132 mitigates the Skp2- decreased PAX8 protein in HepG2 cells. f Induction of His-Skp2 expression reduces PAX8 protein ubiquitination and degradation in HepG2 cells after treatment with CHX. g Skp2 silencing mitigates PAX8 protein ubiquitination and degradation in HEK293T cells following cotransfection with the indicated plasmid and siRNA. h Induction of His-Skp2 expression enhances PAX8 protein ubiquitination and degradation in HEK293T cells. i, j Skp2, but not its Skp2ΔF mutant promotes PAX8 protein ubiquitination and degradation in HepG2 and HEK293T cells. Data are representative images or expressed as the mean or mean ± SD of each group from three separate experiments. *P < 0.05, **P < 0.01
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Cyagen Biosciences t003814
Fig. 4 Skp2 mediate <t>PAX8</t> protein ubiquitination and degradation. a, b Western blot and qRT-PCR analysis of PAX8 expression in HepG2 cells following transfected with the indicated dose of Skp2-specific siRNA or control siRNA. c, d Western blot analysis of PAX8 and His-Skp2 in HepG2 or HEK293T cells following inducing variable levels of His-Skp2. +:2 ug, ++:3 ug, +++:4 ug. e Treatment with MG132 mitigates the Skp2- decreased PAX8 protein in HepG2 cells. f Induction of His-Skp2 expression reduces PAX8 protein ubiquitination and degradation in HepG2 cells after treatment with CHX. g Skp2 silencing mitigates PAX8 protein ubiquitination and degradation in HEK293T cells following cotransfection with the indicated plasmid and siRNA. h Induction of His-Skp2 expression enhances PAX8 protein ubiquitination and degradation in HEK293T cells. i, j Skp2, but not its Skp2ΔF mutant promotes PAX8 protein ubiquitination and degradation in HepG2 and HEK293T cells. Data are representative images or expressed as the mean or mean ± SD of each group from three separate experiments. *P < 0.05, **P < 0.01
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Proteintech anti pax8
Fig. 4 Skp2 mediate <t>PAX8</t> protein ubiquitination and degradation. a, b Western blot and qRT-PCR analysis of PAX8 expression in HepG2 cells following transfected with the indicated dose of Skp2-specific siRNA or control siRNA. c, d Western blot analysis of PAX8 and His-Skp2 in HepG2 or HEK293T cells following inducing variable levels of His-Skp2. +:2 ug, ++:3 ug, +++:4 ug. e Treatment with MG132 mitigates the Skp2- decreased PAX8 protein in HepG2 cells. f Induction of His-Skp2 expression reduces PAX8 protein ubiquitination and degradation in HepG2 cells after treatment with CHX. g Skp2 silencing mitigates PAX8 protein ubiquitination and degradation in HEK293T cells following cotransfection with the indicated plasmid and siRNA. h Induction of His-Skp2 expression enhances PAX8 protein ubiquitination and degradation in HEK293T cells. i, j Skp2, but not its Skp2ΔF mutant promotes PAX8 protein ubiquitination and degradation in HepG2 and HEK293T cells. Data are representative images or expressed as the mean or mean ± SD of each group from three separate experiments. *P < 0.05, **P < 0.01
Anti Pax8, supplied by Proteintech, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Santa Cruz Biotechnology anti pax 8
Fig. 4 Skp2 mediate <t>PAX8</t> protein ubiquitination and degradation. a, b Western blot and qRT-PCR analysis of PAX8 expression in HepG2 cells following transfected with the indicated dose of Skp2-specific siRNA or control siRNA. c, d Western blot analysis of PAX8 and His-Skp2 in HepG2 or HEK293T cells following inducing variable levels of His-Skp2. +:2 ug, ++:3 ug, +++:4 ug. e Treatment with MG132 mitigates the Skp2- decreased PAX8 protein in HepG2 cells. f Induction of His-Skp2 expression reduces PAX8 protein ubiquitination and degradation in HepG2 cells after treatment with CHX. g Skp2 silencing mitigates PAX8 protein ubiquitination and degradation in HEK293T cells following cotransfection with the indicated plasmid and siRNA. h Induction of His-Skp2 expression enhances PAX8 protein ubiquitination and degradation in HEK293T cells. i, j Skp2, but not its Skp2ΔF mutant promotes PAX8 protein ubiquitination and degradation in HepG2 and HEK293T cells. Data are representative images or expressed as the mean or mean ± SD of each group from three separate experiments. *P < 0.05, **P < 0.01
Anti Pax 8, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cell Signaling Technology Inc anti pax8
DNMT inhibition and knockdown of MSH2, MSH6, and OGG1 synergize to increase NIS mRNA expression. a ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or/and siRNA MSH2 or/and siRNA MSH6 or/and siRNA OGG1 and 24 h later treated for an additional 48 h in the presence or the absence of 1 µM DAC. b ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated for an additional 48 h in the presence or the absence of 1 µM DAC. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001. c ) Western blot analysis of <t>PAX8</t> and NKX2.1 protein expressions in chromatin fraction and whole-cell extract 72 h after knocking down of NOX4 or p22 phox by RNA interference in BCPAP cells. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as chromatin enrichment or fold change compared with control cells. Values are mean ± SE. *p < 0.05 and **p < 0.01 (n = 3). d ) ChIP-qPCR assays performed with BCPAP cells transfected with siRNA control and with BCPAP cells transfected with siRNA NOX4 immunoprecipitated with control IgG or anti-NKX2.1 antibody and analyzed by qPCR at TG promoter (two independent replicates).
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Cell Signaling Technology Inc pax8
( A ) Workflow for establishing PDX and primary cell line; and screening for potential drug targets. ( B ) Hematoxylin and eosin (H&E), CK19, and <t>PAX8</t> staining of CDC1 patient and PDX samples. ( C ) Single-sample GSEA (ssGSEA) score for all RNA-seq samples. The top 15 cell types (ranked by the variance of ssGSEA scores) are shown. CDC1 (PDX) clusters together with tumors, different from normal samples. ( D ) Overall ranking of the 130 small molecule compounds in the drug library by their inhibition rates. ( E ) Top ten drug candidates with the highest inhibition rates. ( F ) Testing of the top ten drug candidates at 1 µM concentration in clear cell RCC cell lines (A-498 and 786-O) and normal immortalized kidney cell line (HK-2). ( G ) Dosage-dependent response of CDC1 to CDK9 inhibitor LDC000067 and its IC50s for different cell lines. The cells were treated with LDC000067 for 96 h. ( H ) Relative growth rate of CDC1 when treated with LDC000067 at 1 µM concentration. Data were presented as the mean ± SD ( n = 3). P value = 3.30E-05, two-way ANOVA. .
Pax8, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Novus Biologicals anti pax8
( A ) Workflow for establishing PDX and primary cell line; and screening for potential drug targets. ( B ) Hematoxylin and eosin (H&E), CK19, and <t>PAX8</t> staining of CDC1 patient and PDX samples. ( C ) Single-sample GSEA (ssGSEA) score for all RNA-seq samples. The top 15 cell types (ranked by the variance of ssGSEA scores) are shown. CDC1 (PDX) clusters together with tumors, different from normal samples. ( D ) Overall ranking of the 130 small molecule compounds in the drug library by their inhibition rates. ( E ) Top ten drug candidates with the highest inhibition rates. ( F ) Testing of the top ten drug candidates at 1 µM concentration in clear cell RCC cell lines (A-498 and 786-O) and normal immortalized kidney cell line (HK-2). ( G ) Dosage-dependent response of CDC1 to CDK9 inhibitor LDC000067 and its IC50s for different cell lines. The cells were treated with LDC000067 for 96 h. ( H ) Relative growth rate of CDC1 when treated with LDC000067 at 1 µM concentration. Data were presented as the mean ± SD ( n = 3). P value = 3.30E-05, two-way ANOVA. .
Anti Pax8, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc pgl3 vector pgl3 pax8
( A ) Workflow for establishing PDX and primary cell line; and screening for potential drug targets. ( B ) Hematoxylin and eosin (H&E), CK19, and <t>PAX8</t> staining of CDC1 patient and PDX samples. ( C ) Single-sample GSEA (ssGSEA) score for all RNA-seq samples. The top 15 cell types (ranked by the variance of ssGSEA scores) are shown. CDC1 (PDX) clusters together with tumors, different from normal samples. ( D ) Overall ranking of the 130 small molecule compounds in the drug library by their inhibition rates. ( E ) Top ten drug candidates with the highest inhibition rates. ( F ) Testing of the top ten drug candidates at 1 µM concentration in clear cell RCC cell lines (A-498 and 786-O) and normal immortalized kidney cell line (HK-2). ( G ) Dosage-dependent response of CDC1 to CDK9 inhibitor LDC000067 and its IC50s for different cell lines. The cells were treated with LDC000067 for 96 h. ( H ) Relative growth rate of CDC1 when treated with LDC000067 at 1 µM concentration. Data were presented as the mean ± SD ( n = 3). P value = 3.30E-05, two-way ANOVA. .
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Image Search Results


(A) Unsupervised hierarchical clustering of MECOM , PAX8 , SOX17 and WT1 mRNA expression in the pan-normal GTEx dataset. TCGA data was clustered based on the 5 main clusters of TF expression from GTEx. MTF low = Cluster of tissues that did not or lowly expressed MTFs, MTF high = cluster of tissues that moderately or highly expressed all four MTFs, M high = Cluster of tissues that highly expressed MECOM, M&P high = cluster of tissues that highly expressed both MECOM and PAX8, P high = cluster of tissues that expresses PAX8 and S high = cluster of tissues that expresses SOX17). (B) A boxplot of the average Pearson correlation values of MECOM, PAX8, SOX17 and WT1. Ranked from highest average Pearson correlation value to lowest. (C) A boxplot representing the mean positivity rate of MECOM, PAX8, SOX17 and WT1 expression in each histotype. In B and C, the limits of the boxes represent the interquartile range, and the limits of error bars represent the minimum and maximum value without outliers (D) Ratio of samples with number of co-stained TFs based on a 0.1 positivity rate threshold.

Journal: bioRxiv

Article Title: Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

doi: 10.1101/2023.04.11.536378

Figure Lengend Snippet: (A) Unsupervised hierarchical clustering of MECOM , PAX8 , SOX17 and WT1 mRNA expression in the pan-normal GTEx dataset. TCGA data was clustered based on the 5 main clusters of TF expression from GTEx. MTF low = Cluster of tissues that did not or lowly expressed MTFs, MTF high = cluster of tissues that moderately or highly expressed all four MTFs, M high = Cluster of tissues that highly expressed MECOM, M&P high = cluster of tissues that highly expressed both MECOM and PAX8, P high = cluster of tissues that expresses PAX8 and S high = cluster of tissues that expresses SOX17). (B) A boxplot of the average Pearson correlation values of MECOM, PAX8, SOX17 and WT1. Ranked from highest average Pearson correlation value to lowest. (C) A boxplot representing the mean positivity rate of MECOM, PAX8, SOX17 and WT1 expression in each histotype. In B and C, the limits of the boxes represent the interquartile range, and the limits of error bars represent the minimum and maximum value without outliers (D) Ratio of samples with number of co-stained TFs based on a 0.1 positivity rate threshold.

Article Snippet: Isolated nuclei from FT282 and KURAMOCHI were bound to Concalavin A beads and incubated overnight at 4°C with primary antibody for H3K27me3 (Cell Signaling, RRID:AB_2798370), H3K27ac (Diagenode, RRID:AB_2637079), MECOM (Cell Signaling, AB_2184098), PAX8 (Novus, RRID:AB_2283498), SOX17 (Abcam, RRID:AB_2801385), WT1 (Santa Cruz, RRID:AB_632611).

Techniques: Expressing, Staining

Landscapes of active chromatin and chromatin loops (based on Hi-C maps) in FTSECs and HGSCs. (A) MECOM, (B) PAX8, (C) SOX17 and (D) WT1 .

Journal: bioRxiv

Article Title: Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

doi: 10.1101/2023.04.11.536378

Figure Lengend Snippet: Landscapes of active chromatin and chromatin loops (based on Hi-C maps) in FTSECs and HGSCs. (A) MECOM, (B) PAX8, (C) SOX17 and (D) WT1 .

Article Snippet: Isolated nuclei from FT282 and KURAMOCHI were bound to Concalavin A beads and incubated overnight at 4°C with primary antibody for H3K27me3 (Cell Signaling, RRID:AB_2798370), H3K27ac (Diagenode, RRID:AB_2637079), MECOM (Cell Signaling, AB_2184098), PAX8 (Novus, RRID:AB_2283498), SOX17 (Abcam, RRID:AB_2801385), WT1 (Santa Cruz, RRID:AB_632611).

Techniques: Hi-C

(A) TF knock-down followed by colony formation assays stained with crystal violet. Representative wells are shown. (B) Barplots representing the quantification of crystal violet staining in . Error bars represent biological replicates. (C) Dose response curves for FT246, FT282, KURAMOCHI and OVCAR4 cells treated with THZ1, THZ531 and JQ1. Error bars represent standard deviation of mean cell survival values from biological replicates. (D) RT-qPCR quantification of MECOM , PAX8 , SOX17 and WT1 expression upon THZ1 and THZ531 treatment in FT282 and OVCAR4 cells. Data for MECOM , PAX8 and SOX17 expression upon THZ1 and THZ531 treatment of OVCAR4 cells are reproduced from .

Journal: bioRxiv

Article Title: Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

doi: 10.1101/2023.04.11.536378

Figure Lengend Snippet: (A) TF knock-down followed by colony formation assays stained with crystal violet. Representative wells are shown. (B) Barplots representing the quantification of crystal violet staining in . Error bars represent biological replicates. (C) Dose response curves for FT246, FT282, KURAMOCHI and OVCAR4 cells treated with THZ1, THZ531 and JQ1. Error bars represent standard deviation of mean cell survival values from biological replicates. (D) RT-qPCR quantification of MECOM , PAX8 , SOX17 and WT1 expression upon THZ1 and THZ531 treatment in FT282 and OVCAR4 cells. Data for MECOM , PAX8 and SOX17 expression upon THZ1 and THZ531 treatment of OVCAR4 cells are reproduced from .

Article Snippet: Isolated nuclei from FT282 and KURAMOCHI were bound to Concalavin A beads and incubated overnight at 4°C with primary antibody for H3K27me3 (Cell Signaling, RRID:AB_2798370), H3K27ac (Diagenode, RRID:AB_2637079), MECOM (Cell Signaling, AB_2184098), PAX8 (Novus, RRID:AB_2283498), SOX17 (Abcam, RRID:AB_2801385), WT1 (Santa Cruz, RRID:AB_632611).

Techniques: Knockdown, Staining, Standard Deviation, Quantitative RT-PCR, Expressing

(A) MECOM, PAX8, SOX17 and WT1 co-occupies its own and others genomic loci. ( B) MECOM, PAX8, SOX17 and WT1 co-occupy active enhancer regions across the genome. CPM-normalized CUT&RUN reads were centered on 3 kilobase windows of FTSEC or HGSC-specific PAX8 peaks. Rows are the same across feature. (C) Metagene plot, MECOM, PAX8, SOX17, WT1, H3K27ac and H3K27me3 signal centered on FT of HGSC-specific PAX8 peaks. (D) Set analysis of CUT&RUN peaks from representative MECOM, PAX8, SOX17 and WT1 samples in FT282 and KURAMOCHI. (E) Chromatin state of TF peaks categorized by number of TF overlaps. (F) MECOM, PAX8, SOX17 and WT1 co-regulation based on TF knock-down followed by RNA-seq and differential expression analysis with DESEQ2. (G) Node and edge plot representing co-regulation of each TF based on gene expression measured by RNA-seq after TF knock-down.

Journal: bioRxiv

Article Title: Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

doi: 10.1101/2023.04.11.536378

Figure Lengend Snippet: (A) MECOM, PAX8, SOX17 and WT1 co-occupies its own and others genomic loci. ( B) MECOM, PAX8, SOX17 and WT1 co-occupy active enhancer regions across the genome. CPM-normalized CUT&RUN reads were centered on 3 kilobase windows of FTSEC or HGSC-specific PAX8 peaks. Rows are the same across feature. (C) Metagene plot, MECOM, PAX8, SOX17, WT1, H3K27ac and H3K27me3 signal centered on FT of HGSC-specific PAX8 peaks. (D) Set analysis of CUT&RUN peaks from representative MECOM, PAX8, SOX17 and WT1 samples in FT282 and KURAMOCHI. (E) Chromatin state of TF peaks categorized by number of TF overlaps. (F) MECOM, PAX8, SOX17 and WT1 co-regulation based on TF knock-down followed by RNA-seq and differential expression analysis with DESEQ2. (G) Node and edge plot representing co-regulation of each TF based on gene expression measured by RNA-seq after TF knock-down.

Article Snippet: Isolated nuclei from FT282 and KURAMOCHI were bound to Concalavin A beads and incubated overnight at 4°C with primary antibody for H3K27me3 (Cell Signaling, RRID:AB_2798370), H3K27ac (Diagenode, RRID:AB_2637079), MECOM (Cell Signaling, AB_2184098), PAX8 (Novus, RRID:AB_2283498), SOX17 (Abcam, RRID:AB_2801385), WT1 (Santa Cruz, RRID:AB_632611).

Techniques: Knockdown, RNA Sequencing, Quantitative Proteomics, Gene Expression

(A) Set analysis of TF binding sites that were common or specific to FT282 or KURAMOCHI. (B) MECOM, PAX8, SOX17 and WT1 co-occupies regions that were bound in a common or context-specific manner. CPM-normalized CUT&RUN reads were centered on 3 kilobase windows of PAX8 peak start and stop positions. Rows are the same across samples. (C) Ratio of chromatin states associated with TF binding regions categorized by cellular context. (D) Ratio of FT282 and KURAMOCHI specific enhancers bound by one, two, three or four TFs. (E) BHLHE41 and PBX1 loci displaying the co-localization of MECOM, PAX8, SOX17 and WT1 at a KURAMOCHI specific super-enhancer.

Journal: bioRxiv

Article Title: Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

doi: 10.1101/2023.04.11.536378

Figure Lengend Snippet: (A) Set analysis of TF binding sites that were common or specific to FT282 or KURAMOCHI. (B) MECOM, PAX8, SOX17 and WT1 co-occupies regions that were bound in a common or context-specific manner. CPM-normalized CUT&RUN reads were centered on 3 kilobase windows of PAX8 peak start and stop positions. Rows are the same across samples. (C) Ratio of chromatin states associated with TF binding regions categorized by cellular context. (D) Ratio of FT282 and KURAMOCHI specific enhancers bound by one, two, three or four TFs. (E) BHLHE41 and PBX1 loci displaying the co-localization of MECOM, PAX8, SOX17 and WT1 at a KURAMOCHI specific super-enhancer.

Article Snippet: Isolated nuclei from FT282 and KURAMOCHI were bound to Concalavin A beads and incubated overnight at 4°C with primary antibody for H3K27me3 (Cell Signaling, RRID:AB_2798370), H3K27ac (Diagenode, RRID:AB_2637079), MECOM (Cell Signaling, AB_2184098), PAX8 (Novus, RRID:AB_2283498), SOX17 (Abcam, RRID:AB_2801385), WT1 (Santa Cruz, RRID:AB_632611).

Techniques: Binding Assay

(A) Log 2 fold-change of 28,158 genes following normalization informed by ERCC spike-in RNA content, (B) Number of differentially expressed genes for each TF knock-down based on absolute log 2 fold-change ≥ 0.5. (C) Schematic to integrate differential expression, TF binding and topologically associated domain (TAD) maps. (D) Alluvial plot displaying the status of high confidence differentially expressed genes following TF depletion in FTSECs and HGSCs. (E) Heatmap and pathway analysis of genes displayed in D. (F) BRCA1 locus highlighting H3K27ac signal and TF binding at the BRCA1 promoter. (G) Log 2 fold change of BRCA1 expression following MECOM, PAX8, SOX17 and WT1 knock-down relative to scrambled controls. (H) Chromatin landscape of RUNX3 locus in FTSECs and HGSCs. (I) Log 2 fold change of RUNX3 expression following MECOM, PAX8, SOX17 and WT1 knock-down relative to scrambled controls (RNA-seq).

Journal: bioRxiv

Article Title: Rewiring of master transcription factor cistromes during high-grade serous ovarian cancer development

doi: 10.1101/2023.04.11.536378

Figure Lengend Snippet: (A) Log 2 fold-change of 28,158 genes following normalization informed by ERCC spike-in RNA content, (B) Number of differentially expressed genes for each TF knock-down based on absolute log 2 fold-change ≥ 0.5. (C) Schematic to integrate differential expression, TF binding and topologically associated domain (TAD) maps. (D) Alluvial plot displaying the status of high confidence differentially expressed genes following TF depletion in FTSECs and HGSCs. (E) Heatmap and pathway analysis of genes displayed in D. (F) BRCA1 locus highlighting H3K27ac signal and TF binding at the BRCA1 promoter. (G) Log 2 fold change of BRCA1 expression following MECOM, PAX8, SOX17 and WT1 knock-down relative to scrambled controls. (H) Chromatin landscape of RUNX3 locus in FTSECs and HGSCs. (I) Log 2 fold change of RUNX3 expression following MECOM, PAX8, SOX17 and WT1 knock-down relative to scrambled controls (RNA-seq).

Article Snippet: Isolated nuclei from FT282 and KURAMOCHI were bound to Concalavin A beads and incubated overnight at 4°C with primary antibody for H3K27me3 (Cell Signaling, RRID:AB_2798370), H3K27ac (Diagenode, RRID:AB_2637079), MECOM (Cell Signaling, AB_2184098), PAX8 (Novus, RRID:AB_2283498), SOX17 (Abcam, RRID:AB_2801385), WT1 (Santa Cruz, RRID:AB_632611).

Techniques: Knockdown, Quantitative Proteomics, Binding Assay, Expressing, RNA Sequencing

Fig. 2. Ovarian cancer organoid characterization. (A) H&E staining of organoids from six patients (OV075, OV076, OV077, OV078, OV080, and OV082), showcasing cellular arrangement and tissue structure. (B) PAX8 staining confirms the organoids’ ovarian epithelial origin. (C) Ki67 staining assesses the organoids’ proliferative activity. Scale Bar: 20 µm.

Journal: Phytomedicine : international journal of phytotherapy and phytopharmacology

Article Title: Zengmian Yiliu formula suppresses cell cycle in immune-rich ovarian cancer patient-derived organoids.

doi: 10.1016/j.phymed.2025.156721

Figure Lengend Snippet: Fig. 2. Ovarian cancer organoid characterization. (A) H&E staining of organoids from six patients (OV075, OV076, OV077, OV078, OV080, and OV082), showcasing cellular arrangement and tissue structure. (B) PAX8 staining confirms the organoids’ ovarian epithelial origin. (C) Ki67 staining assesses the organoids’ proliferative activity. Scale Bar: 20 µm.

Article Snippet: For IHC, after deparaffinization and antigen retrieval, the sections were incubated with primary antibodies against Ki67 (MA5-14520, ThermoFisher) and PAX8 (10336-1-AP, Proteintech) at a dilution of 1:1000 overnight at 4◦C.

Techniques: Staining, Activity Assay

Fig. 4 Skp2 mediate PAX8 protein ubiquitination and degradation. a, b Western blot and qRT-PCR analysis of PAX8 expression in HepG2 cells following transfected with the indicated dose of Skp2-specific siRNA or control siRNA. c, d Western blot analysis of PAX8 and His-Skp2 in HepG2 or HEK293T cells following inducing variable levels of His-Skp2. +:2 ug, ++:3 ug, +++:4 ug. e Treatment with MG132 mitigates the Skp2- decreased PAX8 protein in HepG2 cells. f Induction of His-Skp2 expression reduces PAX8 protein ubiquitination and degradation in HepG2 cells after treatment with CHX. g Skp2 silencing mitigates PAX8 protein ubiquitination and degradation in HEK293T cells following cotransfection with the indicated plasmid and siRNA. h Induction of His-Skp2 expression enhances PAX8 protein ubiquitination and degradation in HEK293T cells. i, j Skp2, but not its Skp2ΔF mutant promotes PAX8 protein ubiquitination and degradation in HepG2 and HEK293T cells. Data are representative images or expressed as the mean or mean ± SD of each group from three separate experiments. *P < 0.05, **P < 0.01

Journal: Oncogene

Article Title: HBx regulates transcription factor PAX8 stabilization to promote the progression of hepatocellular carcinoma.

doi: 10.1038/s41388-019-0907-2

Figure Lengend Snippet: Fig. 4 Skp2 mediate PAX8 protein ubiquitination and degradation. a, b Western blot and qRT-PCR analysis of PAX8 expression in HepG2 cells following transfected with the indicated dose of Skp2-specific siRNA or control siRNA. c, d Western blot analysis of PAX8 and His-Skp2 in HepG2 or HEK293T cells following inducing variable levels of His-Skp2. +:2 ug, ++:3 ug, +++:4 ug. e Treatment with MG132 mitigates the Skp2- decreased PAX8 protein in HepG2 cells. f Induction of His-Skp2 expression reduces PAX8 protein ubiquitination and degradation in HepG2 cells after treatment with CHX. g Skp2 silencing mitigates PAX8 protein ubiquitination and degradation in HEK293T cells following cotransfection with the indicated plasmid and siRNA. h Induction of His-Skp2 expression enhances PAX8 protein ubiquitination and degradation in HEK293T cells. i, j Skp2, but not its Skp2ΔF mutant promotes PAX8 protein ubiquitination and degradation in HepG2 and HEK293T cells. Data are representative images or expressed as the mean or mean ± SD of each group from three separate experiments. *P < 0.05, **P < 0.01

Article Snippet: After being blocked with 5% fat-free dry milk in TBST, the membranes were incubated with antibodies against PAX8 (Novus, NBP1-32440), HBx (XIAMEN INNOVAX BIOTECH), Rb (#9313), phosphor-Rb (#D59B7), P21 (#2947), E2F1 (sc251), p53 (sc-126), CDK2 (#78B2), and GAPDH (60004-1- Ig, Santa Cruz Biotechnology or Proteintech).

Techniques: Ubiquitin Proteomics, Western Blot, Quantitative RT-PCR, Expressing, Transfection, Control, Cotransfection, Plasmid Preparation, Mutagenesis

Fig. 6 HBx inhibits the Skp2- mediated PAX8 ubiquitination. a, b Immunoprecipitation indicates that HBx directly interacts with Skp2 in HepG2 and HEK293T cells. c Immunofluorescent confocal microscopy reveals that HBx and Skp2 are colocalized in the perinuclear of HepG2 cells. d HBx interacts with His-Skp2, but not His-Skp2ΔLRR, in HEK293T cells. e, f HBx inhibits the Skp2-reduced PAX8 in HEK293T and HepG2 cells. g HBx mitigates the Skp2- mediated PAX* ubiquitination and degradation in HEK293T cells. h Western blot analysis of cytosol and nuclear PAX8 in HBx+ HepG2-HBx and HepG2.2.15 cells. Data are representative images of each group of cells from three separate experiments

Journal: Oncogene

Article Title: HBx regulates transcription factor PAX8 stabilization to promote the progression of hepatocellular carcinoma.

doi: 10.1038/s41388-019-0907-2

Figure Lengend Snippet: Fig. 6 HBx inhibits the Skp2- mediated PAX8 ubiquitination. a, b Immunoprecipitation indicates that HBx directly interacts with Skp2 in HepG2 and HEK293T cells. c Immunofluorescent confocal microscopy reveals that HBx and Skp2 are colocalized in the perinuclear of HepG2 cells. d HBx interacts with His-Skp2, but not His-Skp2ΔLRR, in HEK293T cells. e, f HBx inhibits the Skp2-reduced PAX8 in HEK293T and HepG2 cells. g HBx mitigates the Skp2- mediated PAX* ubiquitination and degradation in HEK293T cells. h Western blot analysis of cytosol and nuclear PAX8 in HBx+ HepG2-HBx and HepG2.2.15 cells. Data are representative images of each group of cells from three separate experiments

Article Snippet: After being blocked with 5% fat-free dry milk in TBST, the membranes were incubated with antibodies against PAX8 (Novus, NBP1-32440), HBx (XIAMEN INNOVAX BIOTECH), Rb (#9313), phosphor-Rb (#D59B7), P21 (#2947), E2F1 (sc251), p53 (sc-126), CDK2 (#78B2), and GAPDH (60004-1- Ig, Santa Cruz Biotechnology or Proteintech).

Techniques: Ubiquitin Proteomics, Immunoprecipitation, Confocal Microscopy, Western Blot

DNMT inhibition and knockdown of MSH2, MSH6, and OGG1 synergize to increase NIS mRNA expression. a ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or/and siRNA MSH2 or/and siRNA MSH6 or/and siRNA OGG1 and 24 h later treated for an additional 48 h in the presence or the absence of 1 µM DAC. b ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated for an additional 48 h in the presence or the absence of 1 µM DAC. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001. c ) Western blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fraction and whole-cell extract 72 h after knocking down of NOX4 or p22 phox by RNA interference in BCPAP cells. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as chromatin enrichment or fold change compared with control cells. Values are mean ± SE. *p < 0.05 and **p < 0.01 (n = 3). d ) ChIP-qPCR assays performed with BCPAP cells transfected with siRNA control and with BCPAP cells transfected with siRNA NOX4 immunoprecipitated with control IgG or anti-NKX2.1 antibody and analyzed by qPCR at TG promoter (two independent replicates).

Journal: bioRxiv

Article Title: NOX4 prevents the recruitment of PAX8 and NKX2.1 to chromatin in BRAF-mutated thyroid cancer cells

doi: 10.1101/2025.04.14.647724

Figure Lengend Snippet: DNMT inhibition and knockdown of MSH2, MSH6, and OGG1 synergize to increase NIS mRNA expression. a ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or/and siRNA MSH2 or/and siRNA MSH6 or/and siRNA OGG1 and 24 h later treated for an additional 48 h in the presence or the absence of 1 µM DAC. b ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated for an additional 48 h in the presence or the absence of 1 µM DAC. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001. c ) Western blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fraction and whole-cell extract 72 h after knocking down of NOX4 or p22 phox by RNA interference in BCPAP cells. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as chromatin enrichment or fold change compared with control cells. Values are mean ± SE. *p < 0.05 and **p < 0.01 (n = 3). d ) ChIP-qPCR assays performed with BCPAP cells transfected with siRNA control and with BCPAP cells transfected with siRNA NOX4 immunoprecipitated with control IgG or anti-NKX2.1 antibody and analyzed by qPCR at TG promoter (two independent replicates).

Article Snippet: The membranes were probed with primary antibodies: anti-NOX4 (Abcam, #ab109225, RRID:AB_10861375); anti-p22 phox (Santa Cruz Biotechnology, #Sc-130551, RRID:AB_2245805); anti-LaminB1 (Abcam, #ab133741, RRID:AB_2616597); anti-MSH6 (Protein Tech, #A3000 22 A); anti-MSH2 (Abcam, #ab70270); anti-OGG1/2 (G5) (Santa Cruz Biotechnology, #Sc376935); anti-Vinculin (Abcam, #ab130007); anti-DNMT1 (Abcam, #ab13537); anti-DNMT3a (Abcam, #ab2850); anti-DNMT3b (Cell signaling, #695202); anti-PAX8 (Cell signaling, #59019); anti-TTF1 (NKX2.1) (Cell signaling, #123735), anti phospho-p44/42 ERK (Cell signaling, #4370); anti-ERK (Cell signaling, #4696); anti phosphor-MEK1/2 (Cell signaling, #9121); anti-MEK (Cell signaling, #4694); anti-BRAF V600E (Spring, #E19290); anti-phospho-Smad3 (Abcam, #ab515663); anti-Smad3 (Thermo Scientific, #MA515663) or anti-Myc-Tag (Cell signaling, #22765) overnight at 4°C with constant agitation.

Techniques: Inhibition, Knockdown, Expressing, Quantitative RT-PCR, Transfection, Control, Western Blot, ChIP-qPCR, Immunoprecipitation

OGG1, MSH2, and MSH6 inhibit recruitment of PAX8 and NKX2.1 to chromatin. a ) Western blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fraction and whole-cell extract 72 h after knocking down of OGG1 (siRNA OGG1#1), MSH2, or/and MSH6 by RNA interference in BCPAP cells. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as chromatin enrichment and fold change compared with control cells. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001 (n = 3).

Journal: bioRxiv

Article Title: NOX4 prevents the recruitment of PAX8 and NKX2.1 to chromatin in BRAF-mutated thyroid cancer cells

doi: 10.1101/2025.04.14.647724

Figure Lengend Snippet: OGG1, MSH2, and MSH6 inhibit recruitment of PAX8 and NKX2.1 to chromatin. a ) Western blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fraction and whole-cell extract 72 h after knocking down of OGG1 (siRNA OGG1#1), MSH2, or/and MSH6 by RNA interference in BCPAP cells. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as chromatin enrichment and fold change compared with control cells. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001 (n = 3).

Article Snippet: The membranes were probed with primary antibodies: anti-NOX4 (Abcam, #ab109225, RRID:AB_10861375); anti-p22 phox (Santa Cruz Biotechnology, #Sc-130551, RRID:AB_2245805); anti-LaminB1 (Abcam, #ab133741, RRID:AB_2616597); anti-MSH6 (Protein Tech, #A3000 22 A); anti-MSH2 (Abcam, #ab70270); anti-OGG1/2 (G5) (Santa Cruz Biotechnology, #Sc376935); anti-Vinculin (Abcam, #ab130007); anti-DNMT1 (Abcam, #ab13537); anti-DNMT3a (Abcam, #ab2850); anti-DNMT3b (Cell signaling, #695202); anti-PAX8 (Cell signaling, #59019); anti-TTF1 (NKX2.1) (Cell signaling, #123735), anti phospho-p44/42 ERK (Cell signaling, #4370); anti-ERK (Cell signaling, #4696); anti phosphor-MEK1/2 (Cell signaling, #9121); anti-MEK (Cell signaling, #4694); anti-BRAF V600E (Spring, #E19290); anti-phospho-Smad3 (Abcam, #ab515663); anti-Smad3 (Thermo Scientific, #MA515663) or anti-Myc-Tag (Cell signaling, #22765) overnight at 4°C with constant agitation.

Techniques: Western Blot, Control

MAPK pathway inhibition and knockdown of NOX4 and p22 phox synergize to promote PAX8 and NKX2.1 recruitment to chromatin. a ) Western-blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fractions and whole-cell extracts of BCPAP cells transduced with siRNA control or siRNA NOX4 or siRNA p22 phox and treated with dabrafenib (100 nM) plus trametinib (25 nM) combination for 48 h. Densitometric quantification of protein levels normalized to Lamin B or loading control and presented as chromatin enrichment and fold change compared with siRNA control-transduced cells. b ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated in the presence or the absence of dabrafenib plus trametinib combination for additional 48 h. c ) qRT-PCR analysis of TSHR mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated in the presence or the absence of dabrafenib plus trametinib combination for additional 48 h. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001 (n = 3).

Journal: bioRxiv

Article Title: NOX4 prevents the recruitment of PAX8 and NKX2.1 to chromatin in BRAF-mutated thyroid cancer cells

doi: 10.1101/2025.04.14.647724

Figure Lengend Snippet: MAPK pathway inhibition and knockdown of NOX4 and p22 phox synergize to promote PAX8 and NKX2.1 recruitment to chromatin. a ) Western-blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fractions and whole-cell extracts of BCPAP cells transduced with siRNA control or siRNA NOX4 or siRNA p22 phox and treated with dabrafenib (100 nM) plus trametinib (25 nM) combination for 48 h. Densitometric quantification of protein levels normalized to Lamin B or loading control and presented as chromatin enrichment and fold change compared with siRNA control-transduced cells. b ) qRT-PCR analysis of NIS mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated in the presence or the absence of dabrafenib plus trametinib combination for additional 48 h. c ) qRT-PCR analysis of TSHR mRNA levels in BCPAP cells transfected with siRNA control or siRNA NOX4 or siRNA p22 phox and 24 h later, treated in the presence or the absence of dabrafenib plus trametinib combination for additional 48 h. Values are mean ± SE. *p < 0.05, **p < 0.01, and ***p < 0.001 (n = 3).

Article Snippet: The membranes were probed with primary antibodies: anti-NOX4 (Abcam, #ab109225, RRID:AB_10861375); anti-p22 phox (Santa Cruz Biotechnology, #Sc-130551, RRID:AB_2245805); anti-LaminB1 (Abcam, #ab133741, RRID:AB_2616597); anti-MSH6 (Protein Tech, #A3000 22 A); anti-MSH2 (Abcam, #ab70270); anti-OGG1/2 (G5) (Santa Cruz Biotechnology, #Sc376935); anti-Vinculin (Abcam, #ab130007); anti-DNMT1 (Abcam, #ab13537); anti-DNMT3a (Abcam, #ab2850); anti-DNMT3b (Cell signaling, #695202); anti-PAX8 (Cell signaling, #59019); anti-TTF1 (NKX2.1) (Cell signaling, #123735), anti phospho-p44/42 ERK (Cell signaling, #4370); anti-ERK (Cell signaling, #4696); anti phosphor-MEK1/2 (Cell signaling, #9121); anti-MEK (Cell signaling, #4694); anti-BRAF V600E (Spring, #E19290); anti-phospho-Smad3 (Abcam, #ab515663); anti-Smad3 (Thermo Scientific, #MA515663) or anti-Myc-Tag (Cell signaling, #22765) overnight at 4°C with constant agitation.

Techniques: Inhibition, Knockdown, Western Blot, Transduction, Control, Quantitative RT-PCR, Transfection

Co-inhibition of SMAD and MAPK signaling promotes PAX8 and NKX2.1 recruitment to chromatin. a ) Western-blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fractions and whole-cell extracts of BCPAP cells treated or not with dabrafenib (100 nM) plus trametinib (25 nM) combination in the presence or the absence of TGF-beta inhibitor (EW7197, 1 µM) for 48 h. Densitometric quantification of protein levels normalized to loading control and presented as chromatin enrichment or fold change compared with vehicle-treated cells. b ) qRT-PCR analysis of NIS and TSHR mRNA levels in BCPAP cells treated or not with dabrafenib plus trametinib combination in the presence or the absence of TGF-beta inhibitor (EW7197) for 48 h. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as fold change compared with control cells. Values are mean ± SE. *p < 0.05, **p < 0.01, ***p < 0.001 and ****p<0.0001 (n = 3).

Journal: bioRxiv

Article Title: NOX4 prevents the recruitment of PAX8 and NKX2.1 to chromatin in BRAF-mutated thyroid cancer cells

doi: 10.1101/2025.04.14.647724

Figure Lengend Snippet: Co-inhibition of SMAD and MAPK signaling promotes PAX8 and NKX2.1 recruitment to chromatin. a ) Western-blot analysis of PAX8 and NKX2.1 protein expressions in chromatin fractions and whole-cell extracts of BCPAP cells treated or not with dabrafenib (100 nM) plus trametinib (25 nM) combination in the presence or the absence of TGF-beta inhibitor (EW7197, 1 µM) for 48 h. Densitometric quantification of protein levels normalized to loading control and presented as chromatin enrichment or fold change compared with vehicle-treated cells. b ) qRT-PCR analysis of NIS and TSHR mRNA levels in BCPAP cells treated or not with dabrafenib plus trametinib combination in the presence or the absence of TGF-beta inhibitor (EW7197) for 48 h. Densitometry quantification of protein levels normalized to Lamin B or Vinculin levels and presented as fold change compared with control cells. Values are mean ± SE. *p < 0.05, **p < 0.01, ***p < 0.001 and ****p<0.0001 (n = 3).

Article Snippet: The membranes were probed with primary antibodies: anti-NOX4 (Abcam, #ab109225, RRID:AB_10861375); anti-p22 phox (Santa Cruz Biotechnology, #Sc-130551, RRID:AB_2245805); anti-LaminB1 (Abcam, #ab133741, RRID:AB_2616597); anti-MSH6 (Protein Tech, #A3000 22 A); anti-MSH2 (Abcam, #ab70270); anti-OGG1/2 (G5) (Santa Cruz Biotechnology, #Sc376935); anti-Vinculin (Abcam, #ab130007); anti-DNMT1 (Abcam, #ab13537); anti-DNMT3a (Abcam, #ab2850); anti-DNMT3b (Cell signaling, #695202); anti-PAX8 (Cell signaling, #59019); anti-TTF1 (NKX2.1) (Cell signaling, #123735), anti phospho-p44/42 ERK (Cell signaling, #4370); anti-ERK (Cell signaling, #4696); anti phosphor-MEK1/2 (Cell signaling, #9121); anti-MEK (Cell signaling, #4694); anti-BRAF V600E (Spring, #E19290); anti-phospho-Smad3 (Abcam, #ab515663); anti-Smad3 (Thermo Scientific, #MA515663) or anti-Myc-Tag (Cell signaling, #22765) overnight at 4°C with constant agitation.

Techniques: Inhibition, Western Blot, Control, Quantitative RT-PCR

Model proposed for the mechanism. The NADPH oxidase NOX4, which is well expressed in BRAF V600E -mutated thyroid tumor cells and produces H 2 O 2 in the nuclear environment, generates oxidative DNA damage, promoting longer retention of epigenetic modifiers, such as DNMT1, at sites of DNA damage via the interaction with DNA repair proteins including OGG1 and MSH2/MSH6. All contribute to preventing the recruitment of the two key transcription factors: PAX8 and NKX2.1, involved in the transcription of genes involved in thyroid differentiation. Co-inhibition of the MAPK pathway by the combination of dabrafenib/trametinib that decreases MSH2/MSH6 and DNMT1 expression levels and the TGF-β1 pathway by EW7197 that decreases NOX4 levels potentializes the recruitment of PAX8 and NKX2.1 to the chromatin.

Journal: bioRxiv

Article Title: NOX4 prevents the recruitment of PAX8 and NKX2.1 to chromatin in BRAF-mutated thyroid cancer cells

doi: 10.1101/2025.04.14.647724

Figure Lengend Snippet: Model proposed for the mechanism. The NADPH oxidase NOX4, which is well expressed in BRAF V600E -mutated thyroid tumor cells and produces H 2 O 2 in the nuclear environment, generates oxidative DNA damage, promoting longer retention of epigenetic modifiers, such as DNMT1, at sites of DNA damage via the interaction with DNA repair proteins including OGG1 and MSH2/MSH6. All contribute to preventing the recruitment of the two key transcription factors: PAX8 and NKX2.1, involved in the transcription of genes involved in thyroid differentiation. Co-inhibition of the MAPK pathway by the combination of dabrafenib/trametinib that decreases MSH2/MSH6 and DNMT1 expression levels and the TGF-β1 pathway by EW7197 that decreases NOX4 levels potentializes the recruitment of PAX8 and NKX2.1 to the chromatin.

Article Snippet: The membranes were probed with primary antibodies: anti-NOX4 (Abcam, #ab109225, RRID:AB_10861375); anti-p22 phox (Santa Cruz Biotechnology, #Sc-130551, RRID:AB_2245805); anti-LaminB1 (Abcam, #ab133741, RRID:AB_2616597); anti-MSH6 (Protein Tech, #A3000 22 A); anti-MSH2 (Abcam, #ab70270); anti-OGG1/2 (G5) (Santa Cruz Biotechnology, #Sc376935); anti-Vinculin (Abcam, #ab130007); anti-DNMT1 (Abcam, #ab13537); anti-DNMT3a (Abcam, #ab2850); anti-DNMT3b (Cell signaling, #695202); anti-PAX8 (Cell signaling, #59019); anti-TTF1 (NKX2.1) (Cell signaling, #123735), anti phospho-p44/42 ERK (Cell signaling, #4370); anti-ERK (Cell signaling, #4696); anti phosphor-MEK1/2 (Cell signaling, #9121); anti-MEK (Cell signaling, #4694); anti-BRAF V600E (Spring, #E19290); anti-phospho-Smad3 (Abcam, #ab515663); anti-Smad3 (Thermo Scientific, #MA515663) or anti-Myc-Tag (Cell signaling, #22765) overnight at 4°C with constant agitation.

Techniques: Inhibition, Expressing

( A ) Workflow for establishing PDX and primary cell line; and screening for potential drug targets. ( B ) Hematoxylin and eosin (H&E), CK19, and PAX8 staining of CDC1 patient and PDX samples. ( C ) Single-sample GSEA (ssGSEA) score for all RNA-seq samples. The top 15 cell types (ranked by the variance of ssGSEA scores) are shown. CDC1 (PDX) clusters together with tumors, different from normal samples. ( D ) Overall ranking of the 130 small molecule compounds in the drug library by their inhibition rates. ( E ) Top ten drug candidates with the highest inhibition rates. ( F ) Testing of the top ten drug candidates at 1 µM concentration in clear cell RCC cell lines (A-498 and 786-O) and normal immortalized kidney cell line (HK-2). ( G ) Dosage-dependent response of CDC1 to CDK9 inhibitor LDC000067 and its IC50s for different cell lines. The cells were treated with LDC000067 for 96 h. ( H ) Relative growth rate of CDC1 when treated with LDC000067 at 1 µM concentration. Data were presented as the mean ± SD ( n = 3). P value = 3.30E-05, two-way ANOVA. .

Journal: EMBO Molecular Medicine

Article Title: Comprehensive molecular characterization of collecting duct carcinoma for therapeutic vulnerability

doi: 10.1038/s44321-024-00102-5

Figure Lengend Snippet: ( A ) Workflow for establishing PDX and primary cell line; and screening for potential drug targets. ( B ) Hematoxylin and eosin (H&E), CK19, and PAX8 staining of CDC1 patient and PDX samples. ( C ) Single-sample GSEA (ssGSEA) score for all RNA-seq samples. The top 15 cell types (ranked by the variance of ssGSEA scores) are shown. CDC1 (PDX) clusters together with tumors, different from normal samples. ( D ) Overall ranking of the 130 small molecule compounds in the drug library by their inhibition rates. ( E ) Top ten drug candidates with the highest inhibition rates. ( F ) Testing of the top ten drug candidates at 1 µM concentration in clear cell RCC cell lines (A-498 and 786-O) and normal immortalized kidney cell line (HK-2). ( G ) Dosage-dependent response of CDC1 to CDK9 inhibitor LDC000067 and its IC50s for different cell lines. The cells were treated with LDC000067 for 96 h. ( H ) Relative growth rate of CDC1 when treated with LDC000067 at 1 µM concentration. Data were presented as the mean ± SD ( n = 3). P value = 3.30E-05, two-way ANOVA. .

Article Snippet: The sections were then incubated with antibodies specific to Ki67 (Zsbio Commerce Store, cat #ZA-0502), p-AURKA (Cell Signaling Technology, cat #3079), TPX2 (Cell Signaling Technology, cat #12245), p-RB1 (Cell Signaling Technology, cat #8180), CK19 (Cell Signaling Technology, cat #13902) and PAX8 (Cell Signaling Technology, cat #28556) at 4 °C overnight, respectively.

Techniques: Staining, RNA Sequencing, Drug discovery, Inhibition, Concentration Assay

Reagents and tools table

Journal: EMBO Molecular Medicine

Article Title: Comprehensive molecular characterization of collecting duct carcinoma for therapeutic vulnerability

doi: 10.1038/s44321-024-00102-5

Figure Lengend Snippet: Reagents and tools table

Article Snippet: The sections were then incubated with antibodies specific to Ki67 (Zsbio Commerce Store, cat #ZA-0502), p-AURKA (Cell Signaling Technology, cat #3079), TPX2 (Cell Signaling Technology, cat #12245), p-RB1 (Cell Signaling Technology, cat #8180), CK19 (Cell Signaling Technology, cat #13902) and PAX8 (Cell Signaling Technology, cat #28556) at 4 °C overnight, respectively.

Techniques: Sequencing, Drug discovery, Modification, Saline, cDNA Synthesis, Polymer, Software