GEO DataSets

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

22 Samples

Download data: CSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL24676

64 Samples

Download data: BW, NARROWPEAK

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Methylation profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL18573 GPL13534 GPL24676

386 Samples

Download data: BW, IDAT, NARROWPEAK

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

15 Samples

Download data: IDAT, TSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

34 Samples

Download data: IDAT, TSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

15 Samples

Download data: CSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

24 Samples

Download data: BW, NARROWPEAK

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

23 Samples

Download data: RDATA

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

34 Samples

Download data: CSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

48 Samples

Download data: CSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

16 Samples

Download data: CSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

31 Samples

Download data: BW, NARROWPEAK

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

60 Samples

Download data: BW, NARROWPEAK

(Submitter supplied) EMT was induced using stable overexpression of 1 of 4 EMT transcription factors (FOXQ1, TWIST1, ZEB2, and SNAI1) in the HMLE cell line. HMLE cells with ectopic LACZ expression were used as control cells.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL23126

5 Samples

Download data: CEL

(Submitter supplied) The epithelial-to-mesenchymal transition (EMT) has been recognized as a driving force for tumor progression in breast cancer. Recently, our group identified the RNA Binding Motif Single Stranded Interacting Protein 3 (RBMS3) to be significantly associated with an EMT transcriptional program in breast cancer. Additional expression profiling demonstrated that RBMS3 was consistently upregulated by multiple EMT transcription factors and correlated with mesenchymal gene expression in breast cancer cell lines. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

24 Samples

Download data: CSV, SF

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by high throughput sequencing

Platforms:

GPL16791 GPL6244

9 Samples

Download data: BED, BIGWIG, CEL, CHP

(Submitter supplied) Triple negative breast cancer (TNBC) is characterized by a poorly differentiated phenotype and limited treatment options. Aberrant epigenetics in this subtype represent a potential therapeutic opportunity, but a better understanding of the mechanisms contributing to the TNBC pathogenesis is required. The SIN3 molecular scaffold performs a critical role in multiple cellular processes, including epigenetic regulation, and has been identified as a potential therapeutic target. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL16791

4 Samples

Download data: BED, BIGWIG

(Submitter supplied) Triple negative breast cancer (TNBC) is characterized by a poorly differentiated phenotype and limited treatment options. Aberrant epigenetics in this subtype represent a potential therapeutic opportunity, but a better understanding of the mechanisms contributing to the TNBC pathogenesis is required. The SIN3 molecular scaffold performs a critical role in multiple cellular processes, including epigenetic regulation, and has been identified as a potential therapeutic target. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

5 Samples

Download data: CEL, CHP

(Submitter supplied) Breast cancer is a heterogeneous disease comprised of four molecular subtypes defined by whether the tumor-originating cells are luminal or basal epithelial cells. Breast cancers arising from the luminal mammary duct often express estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth receptor 2 (HER2). Tumors expressing ER and/or PR are treated with anti-hormonal therapies, while tumors overexpressing HER2 are targeted with monoclonal antibodies. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

Platform:

GPL11154

54 Samples

Download data: BEDGRAPH, TXT

(Submitter supplied) Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with poor prognosis. The high malignancy of TNBC is contributed by its heterogeneity and enrichment of cancer stem cells. By performing multiomic profiling, we recently uncovered super-enhancer heterogeneity between breast cancer subtypes. Here, we identify TCOF1 as a novel super-enhancer-regulated gene that promotes TNBC growth and stemness. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: TXT