GEO DataSets

(Submitter supplied) Comparison of the basal and estrogen-induced effects on genome-wide transcription in ERα-positive breast cancer cell lines T47D and MCF7 after lentiviral transduction with ERβ.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL15127

8 Samples

Download data: GPR

(Submitter supplied) This submission is a part of two separate studies: a study of estrogen receptor-alpha (ERalpha)-mediated gene expression in response to different ligands and a study examining the roles of ERalpha and ERbeta in gene regulation in breast cancer cells.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL15127

2 Samples

Download data: GPR

(Submitter supplied) We have previously demonstrated that endoxifen is the most important tamoxifen metabolite responsible for eliciting the anti-estrogenic effects of this drug in breast cancer cells expressing estrogen receptor-alpha. However, the relevance of estrogen receptor-beta in mediating endoxifen action has yet to be explored. Therefore, the goals of this study were to determine the differences in the global gene expression profiles elicited by estradiol treatment and endoxifen between parental MCF7 breast cancer cells (expressing estrogen receptor alpha only) and MCF7 cells stably expressing estrogen receptor beta.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6947

12 Samples

Download data: IDAT, TXT

(Submitter supplied) The two estrogen receptors, ERα and ERβ function as ligand-inducible transcription factors. Most in vitro studies have reported that ERα drives breast cancer growth whereas ERβ, if expressed, suppresses growth. To dissect function and gene expression profile regulated by ERα or ERβ, respectively, we generated a novel cell model expressing only ERβ, by applying CRISPR-cas9 to delete ERα in MCF7 cells with stable Tet-Off-inducible ERβ expression. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21697

12 Samples

Download data: XLSX

(Submitter supplied) We performed chromatin immunoprecipitation (ChIP) with overnight with antibodies against the C-terminus (HC-20, from Santa Cruz Biotechnology, Europe) or the N-terminus (anti-Estrogen Receptor 18-32, from SigmaAldrich, Italy) of human ER-alpha with or without estrogen treatment for 45 minutes on TAP-ER-beta cells, and the immunoprecipitated DNA was sequenced with the Illumina/Solexa Genome Analyzer. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9115

8 Samples

Download data: TXT

(Submitter supplied) Two subtypes of the estrogen receptor, ERalpha and ERbeta, mediate the actions of estrogens, and the majority of human breast tumors contain both ERalpha and ERbeta. To examine the possible interactions and modulatory effects of ERbeta on ERalpha activity, we have used adenoviral gene delivery to produce human breast cancer (MCF-7) cells expressing ERbeta, along with their endogenous ERalpha. We have examined the effects of ERβ expression on genome-wide gene expression by Affymetrix GeneChip microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2770

Platform:

GPL96

12 Samples

Download data

Analysis of estrogen receptor (ER) alpha positive MCF-7 breast cancer cells following introduction of ERbeta and treatment with estrogen. The majority of breast cancers express both ERalpha and ERbeta. Results provide insight into the comodulatory effects of these two ERs.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent, 3 infection sets

Platform:

GPL96

Series:

GSE4006

12 Samples

Download data

(Submitter supplied) We used microarrays to detail the global transcriptional response mediated by ERalpha or ERbeta to the phytoestrogen genistein in the MCF-7 human breast cancer cell model. Keywords: ligand response over time course

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

105 Samples

Download data: CEL

(Submitter supplied) Estrogens play an important role in breast cancer (BC) development and progression, where the two isoforms of the estrogen receptor (ERα and ERβ) are generally co-expressed and mediate the effects of these hormones in cancer cells. ERβ has been suggested to exert an antagonist role toward the oncogenic activities of ERα, and for this reason it is considered an oncosuppressor. As clinical evidence regarding a prognostic role for this receptor subtype in hormone-responsive BC is still limited and conflicting, more knowledge is required on the biological functions of ERβ in cancer cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18460

18 Samples

Download data: TXT

(Submitter supplied) Purpose: Endocrine therapies, such as tamoxifen are commonly given to most patients with estrogen receptor (ER) alpha-positive breast carcinoma but are not indicated for persons with ERalpha-negative cancer. The factors responsible for response to tamoxifen in 5-10% of patients with ERalpha-negative tumors are not clear. The aim of the present study was to elucidate the biology and role of the second ER, ERbeta, in patients treated with adjuvant tamoxifen. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2827

Platform:

GPL3883

88 Samples

Download data: GPR

Analysis of estrogen receptor (ER) alpha negative ERbeta-positive breast cancer tumors from patients treated with tamoxifen for 2 years. Unlike ERalpha-negative ERbeta-negative breast cancers, ERalpha-negative ERbeta-positive cancers respond favorably to tamoxifen treatment.

Organism:

Homo sapiens

Type:

Expression profiling by array, log2 ratio, 6 specimen sets

Platform:

GPL3883

Series:

GSE6577

88 Samples

Download data: GPR

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

Organism:

Homo sapiens

Type:

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

Platforms:

GPL571 GPL9052

14 Samples

Download data: BED, CEL

(Submitter supplied) The closely related transcription factors (TFs), estrogen receptors ERα and ERβ, regulate divergent gene expression programs and proliferative outcomes in breast cancer. Utilizing MCF-7 breast cancer cells with ERα, ERβ, or both receptors as a model system to define the basis of differing response specification by related TFs, we show that these TFs and their key coregulators, SRC3 and RIP140, generate overlapping as well as unique chromatin-binding and transcription-regulating modules. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9052

10 Samples

Download data: BED

(Submitter supplied) The closely related transcription factors (TFs), estrogen receptors ERα and ERβ, regulate divergent gene expression programs and proliferative outcomes in breast cancer. Utilizing MCF-7 breast cancer cells with ERα, ERβ, or both receptors as a model system to define the basis of differing response specification by related TFs, we show that these TFs and their key coregulators, SRC3 and RIP140, generate overlapping as well as unique chromatin-binding and transcription-regulating modules. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

4 Samples

Download data: CEL

(Submitter supplied) ERβ expression is associated with less metastasis in patients with IBC tumors. We investigated this association in preclinical models of IBC by knocking out ERβ in cells. Ablation of ERβ promotes migration and invasion of IBC cells and increases the metastatic potential of IBC tumors in vivo. We used microarrays to detail the global programme of gene expression underlying the increased migration of ERβ knockout cells and identified distinct classes of up-regulated genes during this process.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL23126

6 Samples

Download data: CEL

(Submitter supplied) The C4-12/Flag.ERβ cell line which stably expressed Flag.ERβ is used to study ERβ genomic functions without ERα interference. Mapping ERβ binding sites in these cells reveals ERβ unique distribution and motif enrichment patterns. Accompanying our mapping results, nascent RNA profiling is performed on cells at the same treatment time. The combined results allow the identification of ERβ target genes. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9115

4 Samples

Download data: BED

(Submitter supplied) We found by RNA seq analysis that the expression of the cyclin D1 gene, the classic target of estrogen-stimulated transcription through an AP1 response element, negatively correlated with that of ERβ/ESR2 as measured using Spearman correlation coefficient (rho = -0.45, p = 0.005). ERβ/ESR2 expression was also negatively correlated with that of ERα/ESR1 (rho = -0.35, p = 0.033). However, ERβ/ESR2 mRNA expression positively correlated with that of IGFBP4 (rho = 0.58, p < 0.001) and CXCL12 (rho = 0.54, p < 0.001). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

38 Samples

Download data: TXT

(Submitter supplied) PURPOSE: Estrogen receptor alpha (ERα, encoded by ESR1) is a well-characterized transcription factor expressed in more than 75% of breast tumors and is the key biomarker to direct endocrine therapies. On the other hand, much less is known about estrogen receptor beta (ERβ, encoded by ESR2) and its importance in cancer. Previous studies had some disagreement, however most reports suggested a more favorable prognosis for patients with high ESR2 expression. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL11154 GPL18573

3207 Samples

Download data: GTF, TSV

(Submitter supplied) PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL11154 GPL18573

3409 Samples

Download data: CSV, GTF

(Submitter supplied) This SuperSeries is composed of the SubSeries GSE81538 [cohort 405] and GSE96058 [cohort 3273] linked to below. PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL11154 GPL18573

3814 Samples

Download data