GSM659820[Accession] - GEO DataSets

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Items: 4

Select item 2000268341.

Expression data from MCF-7 cells stimulated by Estrogen or IGF-I

(Submitter supplied) Although estrogen receptor (ER) and insulin-like growth factor (IGF) signaling are important for normal mammary development and breast cancer, cross-talk between these pathways, particularly at the level of gene transcription, remains poorly understood. We performed microarray analysis on MCF-7 breast cancer cells treated with estradiol (E2) or IGF-I for 3hr or 24hr. IGF-I regulated mRNA of 5-10-fold more genes than estradiol, and many genes were co-regulated by both ligands. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS4063
Platform:: GPL571
17 Samples

Download data: CEL

Series

Accession:: GSE26834

ID:: 200026834

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 40632.

Estrogen or insulin-like growth factor I stimulated MCF-7 breast cancer cells: time course

Analysis of MCF-7 breast cancer cells treated with estradiol (E2) or insulin-like growth factor I (IGF-I) for up to 24 hours. E2 and IGF-I signaling are important for normal mammary development and breast cancer. Results provide insight into the cross-talk between these pathways.

Organism:: Homo sapiens

Type:: Expression profiling by array, transformed count, 3 agent, 2 time sets

Platform:: GPL571
Series:: GSE26834
17 Samples

Download data: CEL

DataSet

Accession:: GDS4063

ID:: 4063

PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet

Select item 1000005713.

[HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array

(Submitter supplied) Affymetrix submissions are typically submitted to GEO using the GEOarchive method described at http://www.ncbi.nlm.nih.gov/projects/geo/info/geo_affy.html June 03, 2009: annotation table updated with netaffx build 28 June 08, 2012: annotation table updated with netaffx build 32 July 01, 2016: annotation table updated with netaffx build 35 Protocol: see manufacturer's web site The GeneChip Human Genome U133A 2.0 Array is a single array representing 14,500 well-characterized human genes that can be used to explore human biology and disease processes. more...