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Title: Transcription profiling of a mouse transgenic that targets expression of an oncogenic Met receptor reveals Met induces mammary tumors with diverse histologies and is associated with poor outcome and human basal breast cancer      
availability:
available
aggregation:
instance of dataset
privacy:
not applicable
refinement:
curated
dateReleased:
05-02-2014
ID:
E-GEOD-10450
description:
Elevated Met receptor tyrosine kinase (RTK) expression correlates with poor outcome in breast cancer, yet a causal role for Met in the development of breast cancer has not been directly established. To examine this question, we generated a transgenic mouse model that targets expression of an oncogenic Met receptor (MetMut) to the mammary epithelium. We show that MetMut induces mammary tumors with a variety of histopathologies that exhibit gene expression profiles sharing similarities with human basal and luminal breast tumor subtypes. Among all breast cancers, we further demonstrate that the Met receptor is primarily overexpressed in human basal and HER2 positive breast cancers, and that a Met associated gene expression signature identifies patients with poor prognosis. Experiment Overall Design: Common reference design. 26 samples (including 20 normal tissue and 32 tumor tissue samples) replicated twice as dye swaps, generating a total of 52 arrays.
keywords:
transcription profiling by array
format:
HTML
storedIn:
Array Express
qualifier:
not compressed
accessType:
landing page
authorization:
none
authentication:
none
primary:
true
accessURL: https://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-10450
format:
JSON
storedIn:
OmicsDI
qualifier:
not compressed
accessType:
download
authorization:
none
authentication:
none
primary:
false
accessURL: www.omicsdi.org/ws/dataset/arrayexpress-repository/E-GEOD-10450.json
format:
XML
storedIn:
OmicsDI
qualifier:
not compressed
accessType:
download
authorization:
none
authentication:
none
primary:
false
accessURL: http://www.omicsdi.org/ws/dataset/arrayexpress-repository/E-GEOD-10450.xml
ID:
SCR:014747
name:
Omics Discovery Index
abbreviation:
OmicsDI
homePage: http://www.omicsdi.org/

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