bt549 Search Results


99
ATCC tnbc cell lines bt 549
Tnbc Cell Lines Bt 549, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pm42013067-43-12-31?v=ATCC
Average 99 stars, based on 1 article reviews
tnbc cell lines bt 549 - by Bioz Stars, 2026-06
99/100 stars
  Buy from Supplier

95
ATCC ductal carcinoma
Ductal Carcinoma, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pm37317692-53-6-8?v=ATCC
Average 95 stars, based on 1 article reviews
ductal carcinoma - by Bioz Stars, 2026-06
95/100 stars
  Buy from Supplier

93
CLS Cell Lines Service GmbH skbr3
Skbr3, supplied by CLS Cell Lines Service GmbH, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/10__1158_slash_0008___5472__can___13___3319-59-1-8?v=CLS+Cell+Lines+Service+GmbH
Average 93 stars, based on 1 article reviews
skbr3 - by Bioz Stars, 2026-06
93/100 stars
  Buy from Supplier

90
OriGene hs57t cell lysate
Hs57t Cell Lysate, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc07367651-211-2-8?v=OriGene
Average 90 stars, based on 1 article reviews
hs57t cell lysate - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
JCRB Cell Bank bt-549
Bt 549, supplied by JCRB Cell Bank, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc11704764-120-2-11?v=JCRB+Cell+Bank
Average 90 stars, based on 1 article reviews
bt-549 - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
CH Instruments bt549
Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.
Bt549, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc10029787-42-3-49?v=CH+Instruments
Average 90 stars, based on 1 article reviews
bt549 - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
Promega bt-549 cell line
Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.
Bt 549 Cell Line, supplied by Promega, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/10__1021_slash_acs__jnatprod__6b00290-99-1-20?v=Promega
Average 90 stars, based on 1 article reviews
bt-549 cell line - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
Ribobio co breast cancer cell lines bt-549
Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.
Breast Cancer Cell Lines Bt 549, supplied by Ribobio co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc07137024-107-6-18?v=Ribobio+co
Average 90 stars, based on 1 article reviews
breast cancer cell lines bt-549 - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
iCell Gene Therapeutics bt-549 icell-h029
Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.
Bt 549 Icell H029, supplied by iCell Gene Therapeutics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc08213778-197-0-1?v=iCell+Gene+Therapeutics
Average 90 stars, based on 1 article reviews
bt-549 icell-h029 - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
Corning Life Sciences dsl3 bt549 cells
Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.
Dsl3 Bt549 Cells, supplied by Corning Life Sciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pm33662273-294-12-20?v=Corning+Life+Sciences
Average 90 stars, based on 1 article reviews
dsl3 bt549 cells - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
AddexBio Inc bt-549 htb-122
Effect of FOXC1 knockout on phenotype and gene expression (A) Western blot of cell lysate (75 μg) from four parental <t>TNBC</t> <t>cell</t> lines (“WT”) and the corresponding FOXC1 knockout CRISPR clones (“KO”), probed using anti-FOXC1 and anti-β-actin antibodies. (B) Proliferation assays showing growth of FOXC1_KO clones (red) when compared to the parental cell lines (blue). Viable cells were counted every 24 h. Data represent mean and standard deviation (SD) of three biological replicates. Asterisk denotes significant digits in p value derived from unpaired t tests with ∗ p < 0.05, ∗∗ p < 0.005, and ∗∗∗ p < 0.0005. (C) Enrichment using Hallmark gene sets (MSigDB ) showing significantly enriched (padj < 0.01) cancer hallmarks among the DEGs in each of the four TNBC cell lines. (D) Upset plot depicting intersection between up- or downregulated genes among the four cell lines, showing a limited set of DEGs that overlap and are similarly regulated (up- or down-) in all four cell lines. (E) Heatmap depicting log2 (fold change) of the 26 genes significantly (padj < 0.05) regulated upon the loss of FOXC1 in all four cell lines, representing genes repressed by FOXC1 (red) and genes activated by FOXC1 (blue). (F) Log2 (fold change) of selected genes in the RB1/CDK4/6 pathway (FOXC1_KO vs. WT). (G) Colony-forming assays performed in 6-wells in the presence of either DMSO (top row) or 0.5 μM palbociclib (bottom row) for 14 days prior to crystal violet staining. Bar graphs (bottom panel) display relative reduction in the number of colonies compared to the DMSO control in the parental (WT, blue) or the FOXC1_KO (KO, red) groups. Data represents mean ± SD from three biological replicates each. Asterisk denotes significant digits in p value derived from unpaired t tests. ∗∗∗ p < 0.005.
Bt 549 Htb 122, supplied by AddexBio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc11338131-316-0-15?v=AddexBio+Inc
Average 90 stars, based on 1 article reviews
bt-549 htb-122 - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
BioResource International Inc bt549
Effect of FOXC1 knockout on phenotype and gene expression (A) Western blot of cell lysate (75 μg) from four parental <t>TNBC</t> <t>cell</t> lines (“WT”) and the corresponding FOXC1 knockout CRISPR clones (“KO”), probed using anti-FOXC1 and anti-β-actin antibodies. (B) Proliferation assays showing growth of FOXC1_KO clones (red) when compared to the parental cell lines (blue). Viable cells were counted every 24 h. Data represent mean and standard deviation (SD) of three biological replicates. Asterisk denotes significant digits in p value derived from unpaired t tests with ∗ p < 0.05, ∗∗ p < 0.005, and ∗∗∗ p < 0.0005. (C) Enrichment using Hallmark gene sets (MSigDB ) showing significantly enriched (padj < 0.01) cancer hallmarks among the DEGs in each of the four TNBC cell lines. (D) Upset plot depicting intersection between up- or downregulated genes among the four cell lines, showing a limited set of DEGs that overlap and are similarly regulated (up- or down-) in all four cell lines. (E) Heatmap depicting log2 (fold change) of the 26 genes significantly (padj < 0.05) regulated upon the loss of FOXC1 in all four cell lines, representing genes repressed by FOXC1 (red) and genes activated by FOXC1 (blue). (F) Log2 (fold change) of selected genes in the RB1/CDK4/6 pathway (FOXC1_KO vs. WT). (G) Colony-forming assays performed in 6-wells in the presence of either DMSO (top row) or 0.5 μM palbociclib (bottom row) for 14 days prior to crystal violet staining. Bar graphs (bottom panel) display relative reduction in the number of colonies compared to the DMSO control in the parental (WT, blue) or the FOXC1_KO (KO, red) groups. Data represents mean ± SD from three biological replicates each. Asterisk denotes significant digits in p value derived from unpaired t tests. ∗∗∗ p < 0.005.
Bt549, supplied by BioResource International Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bt549/pmc05911984-28-7-16?v=BioResource+International+Inc
Average 90 stars, based on 1 article reviews
bt549 - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

Image Search Results


Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.

Journal: Scientific Reports

Article Title: TRAF6 as a potential target in advanced breast cancer: a systematic review, meta-analysis, and bioinformatics validation

doi: 10.1038/s41598-023-31557-0

Figure Lengend Snippet: Summary of meta-analysis of included studies showing significant association of in vitro breast cancer cell behaviour and modulation of TRAF2/4/6.

Article Snippet: , Proliferation , Pharmacological inhibition , BT549 (4) MCF7 (4) MDA-MB-231 (8) , − 5.78 [− 12.04, 0.47] − 9.50 [− 18.82, − 0.19] − 5.62 [− 10.34, − 0.90] , − 21.46 [− 30.40, − 12.51] , Mean Difference (IV, Random, 95% CI) , Tau 2 = 321.80; Chi 2 = 677.01, df = 15 (P < 0.00001); I 2 = 98% , Z = 4.70 (P < 0.00001).

Techniques: In Vitro, Migration, Inhibition

Summary of meta-analysis of included studies showing significant association of in vivo tumour burden and overt metastasis with modulation of TRAF2/4/6.

Journal: Scientific Reports

Article Title: TRAF6 as a potential target in advanced breast cancer: a systematic review, meta-analysis, and bioinformatics validation

doi: 10.1038/s41598-023-31557-0

Figure Lengend Snippet: Summary of meta-analysis of included studies showing significant association of in vivo tumour burden and overt metastasis with modulation of TRAF2/4/6.

Article Snippet: , Proliferation , Pharmacological inhibition , BT549 (4) MCF7 (4) MDA-MB-231 (8) , − 5.78 [− 12.04, 0.47] − 9.50 [− 18.82, − 0.19] − 5.62 [− 10.34, − 0.90] , − 21.46 [− 30.40, − 12.51] , Mean Difference (IV, Random, 95% CI) , Tau 2 = 321.80; Chi 2 = 677.01, df = 15 (P < 0.00001); I 2 = 98% , Z = 4.70 (P < 0.00001).

Techniques: In Vivo, Inhibition

Effect of FOXC1 knockout on phenotype and gene expression (A) Western blot of cell lysate (75 μg) from four parental TNBC cell lines (“WT”) and the corresponding FOXC1 knockout CRISPR clones (“KO”), probed using anti-FOXC1 and anti-β-actin antibodies. (B) Proliferation assays showing growth of FOXC1_KO clones (red) when compared to the parental cell lines (blue). Viable cells were counted every 24 h. Data represent mean and standard deviation (SD) of three biological replicates. Asterisk denotes significant digits in p value derived from unpaired t tests with ∗ p < 0.05, ∗∗ p < 0.005, and ∗∗∗ p < 0.0005. (C) Enrichment using Hallmark gene sets (MSigDB ) showing significantly enriched (padj < 0.01) cancer hallmarks among the DEGs in each of the four TNBC cell lines. (D) Upset plot depicting intersection between up- or downregulated genes among the four cell lines, showing a limited set of DEGs that overlap and are similarly regulated (up- or down-) in all four cell lines. (E) Heatmap depicting log2 (fold change) of the 26 genes significantly (padj < 0.05) regulated upon the loss of FOXC1 in all four cell lines, representing genes repressed by FOXC1 (red) and genes activated by FOXC1 (blue). (F) Log2 (fold change) of selected genes in the RB1/CDK4/6 pathway (FOXC1_KO vs. WT). (G) Colony-forming assays performed in 6-wells in the presence of either DMSO (top row) or 0.5 μM palbociclib (bottom row) for 14 days prior to crystal violet staining. Bar graphs (bottom panel) display relative reduction in the number of colonies compared to the DMSO control in the parental (WT, blue) or the FOXC1_KO (KO, red) groups. Data represents mean ± SD from three biological replicates each. Asterisk denotes significant digits in p value derived from unpaired t tests. ∗∗∗ p < 0.005.

Journal: iScience

Article Title: Conserved role of FOXC1 in TNBC is parallel to FOXA1 in ER+ breast cancer

doi: 10.1016/j.isci.2024.110500

Figure Lengend Snippet: Effect of FOXC1 knockout on phenotype and gene expression (A) Western blot of cell lysate (75 μg) from four parental TNBC cell lines (“WT”) and the corresponding FOXC1 knockout CRISPR clones (“KO”), probed using anti-FOXC1 and anti-β-actin antibodies. (B) Proliferation assays showing growth of FOXC1_KO clones (red) when compared to the parental cell lines (blue). Viable cells were counted every 24 h. Data represent mean and standard deviation (SD) of three biological replicates. Asterisk denotes significant digits in p value derived from unpaired t tests with ∗ p < 0.05, ∗∗ p < 0.005, and ∗∗∗ p < 0.0005. (C) Enrichment using Hallmark gene sets (MSigDB ) showing significantly enriched (padj < 0.01) cancer hallmarks among the DEGs in each of the four TNBC cell lines. (D) Upset plot depicting intersection between up- or downregulated genes among the four cell lines, showing a limited set of DEGs that overlap and are similarly regulated (up- or down-) in all four cell lines. (E) Heatmap depicting log2 (fold change) of the 26 genes significantly (padj < 0.05) regulated upon the loss of FOXC1 in all four cell lines, representing genes repressed by FOXC1 (red) and genes activated by FOXC1 (blue). (F) Log2 (fold change) of selected genes in the RB1/CDK4/6 pathway (FOXC1_KO vs. WT). (G) Colony-forming assays performed in 6-wells in the presence of either DMSO (top row) or 0.5 μM palbociclib (bottom row) for 14 days prior to crystal violet staining. Bar graphs (bottom panel) display relative reduction in the number of colonies compared to the DMSO control in the parental (WT, blue) or the FOXC1_KO (KO, red) groups. Data represents mean ± SD from three biological replicates each. Asterisk denotes significant digits in p value derived from unpaired t tests. ∗∗∗ p < 0.005.

Article Snippet: TNBC cell lines, BT-549 (HTB-122), Hs578t (HTB-126), MDA-MB-231 (HTB-26), and MDA-MB-468 (HTB-132) were purchased from AddexBio (San Diego, CA).

Techniques: Knock-Out, Gene Expression, Western Blot, CRISPR, Clone Assay, Standard Deviation, Derivative Assay, Staining, Control

Genome-wide binding site analysis of FOXC1 in TNBC (A) Log2 (fold change) of normalized mRNA expression of 38 core, conserved gene targets that associate with a FOXC1 peak and are differentially regulated upon FOXC1 KO in all four TNBC cell lines. Dots represent literature-based evidence of the gene’s function, either as an oncogene (blue dots) or a tumor suppressor (red dots) in breast cancer. Nine genes ( THRB , CREBRF , SLC35B2 , CAV2 , C11orf24 , WWC3 , SLC7A5 , CENPV , and LONRF1 ) overlap with those in <xref ref-type=Figure 1 E. (B) Schema illustrating the tumor suppressors and oncogenes directly regulated by FOXC1 and their respective role in tumorigenesis in TNBC. Created with BioRender. (C) ChIP-seq traces showing FOXC1 peaks near oncogene CRABP2 and tumor-suppressor CREBRF . Bar plots depict normalized gene expression value in parental (WT, yellow) or FOXC1_KO (KO, blue) cell lines. Statistical significance determined using DESeq2 (∗ p adj < 0.05, ∗∗ p adj < 0.005, ∗∗∗ p adj ≤ 0.0005). (D) Kaplan-Meier survival analysis of a panel of 17 core upregulated targets of FOXC1 of ER-(IHC), PR-(IHC) and HER2 negative (array) in 220 breast cancer patient samples from kmplot.com . (E) Heatmap of FOXC1 peaks associated with a H3K27ac signal in each of the four TNBC cell lines. (F) Averaged quantification of FOXC1 and H3K27ac signal intensity in heatmap in (D). (G) FOXC1 ChIP-seq peak traces near the super-enhancer 128 kb upstream of FOXC1 gene (orange box), and FOXC1 peaks unique to MDA-MB-468 (purple boxes). (H) Bar plots showing the normalized expression of FOXC1 mRNA in parental (blue, WT) and FOXC1_KO (red, KO) in TNBC cell lines. Statistical significance determined using DESeq2 (ns = not significant, ∗∗∗ p adj < 0.0005). " width="100%" height="100%">

Journal: iScience

Article Title: Conserved role of FOXC1 in TNBC is parallel to FOXA1 in ER+ breast cancer

doi: 10.1016/j.isci.2024.110500

Figure Lengend Snippet: Genome-wide binding site analysis of FOXC1 in TNBC (A) Log2 (fold change) of normalized mRNA expression of 38 core, conserved gene targets that associate with a FOXC1 peak and are differentially regulated upon FOXC1 KO in all four TNBC cell lines. Dots represent literature-based evidence of the gene’s function, either as an oncogene (blue dots) or a tumor suppressor (red dots) in breast cancer. Nine genes ( THRB , CREBRF , SLC35B2 , CAV2 , C11orf24 , WWC3 , SLC7A5 , CENPV , and LONRF1 ) overlap with those in Figure 1 E. (B) Schema illustrating the tumor suppressors and oncogenes directly regulated by FOXC1 and their respective role in tumorigenesis in TNBC. Created with BioRender. (C) ChIP-seq traces showing FOXC1 peaks near oncogene CRABP2 and tumor-suppressor CREBRF . Bar plots depict normalized gene expression value in parental (WT, yellow) or FOXC1_KO (KO, blue) cell lines. Statistical significance determined using DESeq2 (∗ p adj < 0.05, ∗∗ p adj < 0.005, ∗∗∗ p adj ≤ 0.0005). (D) Kaplan-Meier survival analysis of a panel of 17 core upregulated targets of FOXC1 of ER-(IHC), PR-(IHC) and HER2 negative (array) in 220 breast cancer patient samples from kmplot.com . (E) Heatmap of FOXC1 peaks associated with a H3K27ac signal in each of the four TNBC cell lines. (F) Averaged quantification of FOXC1 and H3K27ac signal intensity in heatmap in (D). (G) FOXC1 ChIP-seq peak traces near the super-enhancer 128 kb upstream of FOXC1 gene (orange box), and FOXC1 peaks unique to MDA-MB-468 (purple boxes). (H) Bar plots showing the normalized expression of FOXC1 mRNA in parental (blue, WT) and FOXC1_KO (red, KO) in TNBC cell lines. Statistical significance determined using DESeq2 (ns = not significant, ∗∗∗ p adj < 0.0005).

Article Snippet: TNBC cell lines, BT-549 (HTB-122), Hs578t (HTB-126), MDA-MB-231 (HTB-26), and MDA-MB-468 (HTB-132) were purchased from AddexBio (San Diego, CA).

Techniques: Genome Wide, Binding Assay, Expressing, ChIP-sequencing, Gene Expression

Core, conserved FOXC1 gene targets in TNBC (A) Unsupervised k-means clustering of peaks among the four TNBC cell lines into 5 clusters: cluster 1, peaks in all cell lines; clusters 2–5, peaks dominant in a particular cell line. (B) Number of peaks in each cluster identified in (A). (C) Quantification of the FOXC1 signal in each of the five clusters. One-way ANOVA followed by Tukey’s post-hoc test, comparing cell lines within each peak cluster. (D) Location of FOXC1 peaks near genome features in each of the five clusters. (E) The average intensity of FOXC1 peaks in Fujioka (AML) cell lines overlaid onto the five clusters of FOXC1 binding sites in TNBC from (A). (F) Top enriched transcription factors that have similar gene targets as core targets of FOXC1, using the TF target (ENCODE and ChEA consensus from ChIP-X experiments), generated using ShinyGO.

Journal: iScience

Article Title: Conserved role of FOXC1 in TNBC is parallel to FOXA1 in ER+ breast cancer

doi: 10.1016/j.isci.2024.110500

Figure Lengend Snippet: Core, conserved FOXC1 gene targets in TNBC (A) Unsupervised k-means clustering of peaks among the four TNBC cell lines into 5 clusters: cluster 1, peaks in all cell lines; clusters 2–5, peaks dominant in a particular cell line. (B) Number of peaks in each cluster identified in (A). (C) Quantification of the FOXC1 signal in each of the five clusters. One-way ANOVA followed by Tukey’s post-hoc test, comparing cell lines within each peak cluster. (D) Location of FOXC1 peaks near genome features in each of the five clusters. (E) The average intensity of FOXC1 peaks in Fujioka (AML) cell lines overlaid onto the five clusters of FOXC1 binding sites in TNBC from (A). (F) Top enriched transcription factors that have similar gene targets as core targets of FOXC1, using the TF target (ENCODE and ChEA consensus from ChIP-X experiments), generated using ShinyGO.

Article Snippet: TNBC cell lines, BT-549 (HTB-122), Hs578t (HTB-126), MDA-MB-231 (HTB-26), and MDA-MB-468 (HTB-132) were purchased from AddexBio (San Diego, CA).

Techniques: Binding Assay, Generated

Core FOXC1 binding sites in TNBC are bound by FOXA1/NR2F2 in luminal breast cancer (A) Heatmaps depicting overlap of ChIP-seq data of transcription factors (GATA3, ESR1, NR2F2, and FOXA1) from MCF-7 luminal breast cancer cell lines with the five TNBC clusters of FOXC1 peaks identified in <xref ref-type=Figure 3 A. (B) Average ChIP-seq tag intensity of transcription factors (GATA3, ESR1, NR2F2, and FOXA1) in MCF-7 over TNBC peak clusters from previous panel. (C) Average intensity of FOXC1 peaks in MDA-MB-231 at sites that are bound by FOXA1+NR2F2 versus GATA3 (cognate sites) in MCF-7. Adjusted p value calculated using a Tukey post-hoc test. (D) Proximity of FOXC1 to GATA3 binding sites in MDA-MB-231 and the number of peaks overlapping between FOXC1 and over-expressed GATA3 in MDA-MB-231. (E) Average intensity of GATA3 over FOXC1 peaks in each of the five clusters in Figure 3 A. (F) ChIP-seq traces (above) showing FOXC1 peaks in TNBC and AML cell lines and FOXA1 peaks in MCF-7 near MCM7 and RXRA genes, two critical genes in breast cancer and barplots (below) show changes in normalized gene expression from RNA-seq of the genes in WT (blue) or FOXC1_KO (red). Statistical significance determined using DESeq2 (ns = not significant, ∗ p adj < 0.05, ∗∗∗∗ p adj < 0.00005). (G) Change in mean expression of up- or downregulated core genes in all breast invasive carcinomas based on RNA-seq data from the GEO database in tumor, adjacent normal or metastatic samples ( TNMplot.com ). p value shown calculated using Kruskal-Wallis tests. (H) Kaplan-Meier survival analysis of upregulated (left) and downregulated (right) core gene targets of FOXC1 on 2032 breast cancer patient samples from kmplot.com . " width="100%" height="100%">

Journal: iScience

Article Title: Conserved role of FOXC1 in TNBC is parallel to FOXA1 in ER+ breast cancer

doi: 10.1016/j.isci.2024.110500

Figure Lengend Snippet: Core FOXC1 binding sites in TNBC are bound by FOXA1/NR2F2 in luminal breast cancer (A) Heatmaps depicting overlap of ChIP-seq data of transcription factors (GATA3, ESR1, NR2F2, and FOXA1) from MCF-7 luminal breast cancer cell lines with the five TNBC clusters of FOXC1 peaks identified in Figure 3 A. (B) Average ChIP-seq tag intensity of transcription factors (GATA3, ESR1, NR2F2, and FOXA1) in MCF-7 over TNBC peak clusters from previous panel. (C) Average intensity of FOXC1 peaks in MDA-MB-231 at sites that are bound by FOXA1+NR2F2 versus GATA3 (cognate sites) in MCF-7. Adjusted p value calculated using a Tukey post-hoc test. (D) Proximity of FOXC1 to GATA3 binding sites in MDA-MB-231 and the number of peaks overlapping between FOXC1 and over-expressed GATA3 in MDA-MB-231. (E) Average intensity of GATA3 over FOXC1 peaks in each of the five clusters in Figure 3 A. (F) ChIP-seq traces (above) showing FOXC1 peaks in TNBC and AML cell lines and FOXA1 peaks in MCF-7 near MCM7 and RXRA genes, two critical genes in breast cancer and barplots (below) show changes in normalized gene expression from RNA-seq of the genes in WT (blue) or FOXC1_KO (red). Statistical significance determined using DESeq2 (ns = not significant, ∗ p adj < 0.05, ∗∗∗∗ p adj < 0.00005). (G) Change in mean expression of up- or downregulated core genes in all breast invasive carcinomas based on RNA-seq data from the GEO database in tumor, adjacent normal or metastatic samples ( TNMplot.com ). p value shown calculated using Kruskal-Wallis tests. (H) Kaplan-Meier survival analysis of upregulated (left) and downregulated (right) core gene targets of FOXC1 on 2032 breast cancer patient samples from kmplot.com .

Article Snippet: TNBC cell lines, BT-549 (HTB-122), Hs578t (HTB-126), MDA-MB-231 (HTB-26), and MDA-MB-468 (HTB-132) were purchased from AddexBio (San Diego, CA).

Techniques: Binding Assay, ChIP-sequencing, Gene Expression, RNA Sequencing, Expressing