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Links from GEO DataSets

Items: 20

1.
Full record GDS1549

Estrogen effect on estrogen receptor alpha positive breast cancer cell lines

Expression profiling of estrogen receptor positive breast cancer cell lines treated with estradiol for 24 hours. MCF-7, T47-D, and BT-474 breast cancer cell lines examined. Results identify candidate genes involved in estrogen stimulated breast cancer growth.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 agent, 3 cell line sets
Platform:
GPL96
Series:
GSE3529
12 Samples
Download data: CEL
DataSet
Accession:
GDS1549
ID:
1549
2.

Profiling of three different ER+ breast cancer cell lines grown in the presence and absence of estrogen.

(Submitter supplied) Three human ER+ breast cancer cell lines--MCF-7, T47-D, BT-474--grown with or without estradiol (E2). Keywords: Cell Line Comparison
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1549
Platform:
GPL96
12 Samples
Download data: CEL
Series
Accession:
GSE3529
ID:
200003529
3.

Anti-prolif. effect of E2 in breast cancer cells that re-exp. ERalpha is mediated by aberr. regulat. of cell cycle genes

(Submitter supplied) Gene expression changes caused by estrogen treatment of breast cancer cells that re-express ERalpha was investigated by infecting ER-negative MDA-MB-231 breast cancer cells for 24 h with recombinant adenovirus encoding full-length human ERalpha (Ad-ERalpha) or control vector (Ad-LacZ), and treating them with 0·01% ethanol (vehicle control) or 10-8 M 17beta-estradiol (E2). After 48 h of treatment, total RNA was isolated and used for transcript profiling on Affymetrix GeneChips. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1326
Platform:
GPL96
12 Samples
Download data
Series
Accession:
GSE2251
ID:
200002251
4.
Full record GDS1326

Breast cancer cells reexpressing estrogen receptor alpha response to 17beta-estradiol

Analysis of the response of estrogen receptor (ER) negative MDA-MB-231 breast cancer cells infected with full-length ER alpha adenoviral constructs to treatment with 17beta-estradiol (E2). Results provide insight into the anti-proliferative effect of E2 on breast cancer cells reexpressing ER.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 agent, 2 protocol sets
Platform:
GPL96
Series:
GSE2251
12 Samples
Download data
DataSet
Accession:
GDS1326
ID:
1326
5.

Effects of estrogen

(Submitter supplied) Effects of estrogen on global gene expression: identification of novel targets of estrogen action. Keywords: other
Organism:
Homo sapiens
Type:
Expression profiling by SAGE
Platform:
GPL4
4 Samples
Download data
Series
Accession:
GSE41
ID:
200000041
6.

Estrogen regulation and physiopathologic significance of alternative promoters in breast cancer

(Submitter supplied) Alternative promoters (APs) occur in >30% protein-coding genes and contribute to proteome diversity. However, large-scale analyses of AP regulation are lacking, and little is known about their potential physiopathologic significance. To better understand the transcriptomic impact of estrogens, which play a major role in breast cancer, we analyzed gene and AP regulation by estradiol in MCF7 cells using pan-genomic exon arrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL5175 GPL5188
32 Samples
Download data: CEL
Series
Accession:
GSE20342
ID:
200020342
7.

Profiling of ER+ BrC cells with and without estradiol in both cell cultures and xenografts

(Submitter supplied) We generated DNA microarray based gene expression profiles from three estrogen receptor a (ERa) positive breast cancer cell lines stimulated by 17ß-estradiol (E2) in vitro over a time course, as well as from MCF-7 cells grown as xenografts in ovariectomized athymic nude mice with E2 supplementation and after its withdrawal. Keywords: Cell line and xenograft comparisons
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL570 GPL96
47 Samples
Download data
Series
Accession:
GSE3834
ID:
200003834
8.

Expression data from hormone-starved MCF7/BUS cell culture

(Submitter supplied) To obtain comprehensive information on 17beta-estradiol (E2) sensitivity of genes that are inducible or suppressible by this hormone, we designed a method that determines ligand sensitivities of large numbers of genes using DNA microarray and a set of simple Perl computer scripts implementing the standard metric statistics, and employed it to characterize effects of low (0-100 pM) concentrations of E2 on the transcriptome profile of MCF7/BUS human breast cancer cells, whose E2 dose-dependent growth curve saturated with 100 pM E2. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Datasets:
GDS2323 GDS2324
Platform:
GPL96
34 Samples
Download data
Series
Accession:
GSE4668
ID:
200004668
9.
Full record GDS2324

Low concentrations of 17beta-estradiol effect on breast cancer cell line

Analysis of breast cancer MCF7/BUS cells treated with 17beta-estradiol (E2) at concentrations up to 100 pM. Results compared to that from an experiment examining the response to hormone starvation (GDS2323). Results provide insight into the E2 sensitivity of E2 inducible or suppressible genes.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 5 dose sets
Platform:
GPL96
Series:
GSE4668
25 Samples
Download data
10.
Full record GDS2323

Estrogen-starved breast cancer cell line: time course

Analysis of breast cancer MCF7/BUS cells starved of estrogen for up to 2 days. Results compared to that from an experiment (GDS2324) examining the response to low concentrations of 17beta-estradiol (E2). Results provide insight into the E2 sensitivity of E2 inducible or suppressible genes.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 3 time sets
Platform:
GPL96
Series:
GSE4668
9 Samples
Download data
11.

Transcriptome and translatome profiling of MCF7 vector cells after p53 activation

(Submitter supplied) Several genome-wide transcriptome analyses that focused on p53-induced cellular responses in many cellular contexts have continued to expand the already vast p53-regulated transcriptional networks. To investigate post-transcriptional controls as an additional dimension of p53-directed gene expression responses we performed translatome analysis by polysomal profiling on MCF7 cells treated with Doxorubicin and Nutlin-3a. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
27 Samples
Download data: TXT
Series
Accession:
GSE50650
ID:
200050650
12.

Crossroads of the p53, ER, NFkB stress response networks

(Submitter supplied) We explored the combinatorial interactions between p53, estrogen receptors and NFkB using the breast adenocarcinoma-derived MCF7 cells. Recently, we have established that p53 can modulate transcription also through non-canonical response elements (REs), consisting of half-sites and ¾ sites. In particular, we identified a half-site p53 response element in the promoter of FLT1/VEGFR-I gene that was required but not sufficient for the p53 responsiveness of the promoter. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
40 Samples
Download data: TXT
Series
Accession:
GSE24065
ID:
200024065
13.

A novel proteomic approach reveals GREB1 as an Estrogen Receptor co-factor

(Submitter supplied) Methods for identifying protein-protein interactions have mostly been limited to tagged exogenous expression approaches. We now establish a rapid, robust and comprehensive method for finding interacting proteins using endogenous proteins from limited cell numbers. We apply this approach called ‘Rapid IP-Mass Spectrometry of Endogenous proteins (RIME)’ to identify ER, FoxA1 and E2F4 interacting proteins in breast cancer cells. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL11154 GPL10999
16 Samples
Download data: BED
Series
Accession:
GSE41561
ID:
200041561
14.

A novel proteomic approach reveals GREB1 as an Estrogen Receptor co-factor

(Submitter supplied) Methods for identifying protein-protein interactions have mostly been limited to tagged exogenous expression approaches. We now establish a rapid, robust and comprehensive method for finding interacting proteins using endogenous proteins from limited cell numbers. We apply this approach called ‘Rapid IP-Mass Spectrometry of Endogenous proteins (RIME)’ to identify ER, FoxA1 and E2F4 interacting proteins in breast cancer cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
23 Samples
Download data: TXT
Series
Accession:
GSE37386
ID:
200037386
15.

Genome-wide Estrogen Receptor-alpha activation time-course

(Submitter supplied) Estrogen Receptor-alpha (ER) is the key driver of 75% of all breast cancers. Upon stimulation by its ligand estra-2-diol, ER forms a transcriptionally active complex binding chromatin. Previous studies have reported that ER binding follows a cyclical binding pattern with a periodicity of 90 minutes. However, these studies have been limited to individual ER target genes and most were done without replicates. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL20301
59 Samples
Download data: CSV
Series
Accession:
GSE119057
ID:
200119057
16.

A genomic view of estrogen actions in human breast cancer cells

(Submitter supplied) Changes in the expression of 8400 genes were monitored by cDNA microarray analysis during the first 32 h of human breast cancer (BC) ZR-75.1 cell stimulation with a mitogenic dose of 17beta-estradiol, a timing which corresponds to completion of a full mitotic cycle in hormone-stimulated cells. Hierarchical clustering of 344 genes whose expression either increases or decreases significantly in response to estrogen reveals that the gene expression program activated by the hormone in these cells shows 8 main patterns of gene activation/inhibition. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL970
25 Samples
Download data
Series
Accession:
GSE1864
ID:
200001864
17.

Characterization of estrogen regulation in estrogen reseptor (ER)-positive breast cancer at the single cell level

(Submitter supplied) We performed the single-cell analysis to characterize estrogen regulation in ER-positive breast cancer using patient-derived xenograft (PDX) model (named SC31).
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
2 Samples
Download data: MTX, TSV
Series
Accession:
GSE176532
ID:
200176532
18.

Estrogen-induced cell cycle arrest in patient-derived xenograft (PDX) modal for breast cancer

(Submitter supplied) We performed RNA sequencing analysis to see gene expression changes after estrogen treatment for an aromatase inhibitor-resistant PDX model (named GS3).
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
13 Samples
Download data: TXT
Series
Accession:
GSE156922
ID:
200156922
19.

Estrogen-induced cell cycle arrest as an unexpected outcome of aromatase inhibitor-resistance: Insights from single-cell analysis of a patient-derived xenograft model

(Submitter supplied) We performed the single-cell analysis to reveal the mechanism of estrogen-induced cell cycle arrest using an Aromatase inhibitor-resistant patient-derived xenograft model (named GS3).
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
3 Samples
Download data: MTX, TSV
Series
Accession:
GSE156752
ID:
200156752
20.

RERG is a novel ras-related, estrogen-regulated and growth-inhibitory gene in breast cancer

(Submitter supplied) Using microarray analysis, we identified a unique ras superfamily gene, termed RERG (ras-related and estrogen-regulated growth inhibitor), whose expression was decreased or lost in a significant percentage of primary human breast tumors that show a poor clinical prognosis. Importantly, high RERG expression correlated with expression of a set of genes that define a breast tumor subtype that is estrogen receptor-positive and associated with a slow rate of tumor cell proliferation and a favorable prognosis for these cancer patients. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL2671 GPL2670 GPL2669
5 Samples
Download data
Series
Accession:
GSE2987
ID:
200002987
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