GSM183431[Accession] - GEO DataSets

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Items: 4

Select item 2000075611.

Expression data from IGF-I-stimulated MCF-7 cells

(Submitter supplied) Substantial evidence implicates IGF-I signaling in the development and progression of breast cancer. To identify transcriptional targets of IGF action in breast cancer cells, we performed gene expression profiling (>22,000 RNA transcripts) of IGF-I-stimulated MCF-7 cells, a well characterized breast cancer cell line that is highly responsive to IGFs. We defined an IGF-I gene signature pattern of hundreds of genes either up-regulated or down-regulated at both 3 and 24 hrs in vitro. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS3484
Platform:: GPL571
11 Samples

Download data: CEL

Series

Accession:: GSE7561

ID:: 200007561

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 34842.

Insulin-like growth factor-I effect on breast cancer cell line: time course

Analysis of breast cancer MCF-7 cells stimulated with insulin-like growth factor-I (IGF-I) for 3 or 24 hours. High serum IGF-I levels are associated with an elevated risk of breast cancer. Results provide insight into the role of IGF-1 in the development and progression of breast cancer.

Organism:: Homo sapiens

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

Platform:: GPL571
Series:: GSE7561
11 Samples

Download data: CEL

DataSet

Accession:: GDS3484

ID:: 3484

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...