Human mammary epithelium and breast cancer
Transcriptomics Dataset
FAIR Metrics
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General Information
AccessionGSE53
TitleHuman mammary epithelium and breast cancer
DescriptionDistinctive gene expression patterns in human mammary epithelial cells and breast cancers. cDNA microarrays and a clustering algorithm were used to identify patterns of gene expression in human mammary epithelial cells growing in culture and in primary human breast tumors. Clusters of coexpressed genes identified through manipulations of mammary epithelial cells in vitro also showed consistent patterns of variation in expression among breast tumor samples. By using immunohistochemistry with antibodies against proteins encoded by a particular gene in a cluster, the identity of the cell type within the tumor specimen that contributed the observed gene expression pattern could be determined. Clusters of genes with coherent expression patterns in cultured cells and in the breast tumors samples could be related to specific features of biological variation among the samples. Two such clusters were found to have patterns that correlated with variation in cell proliferation rates and with activation of the IFN-regulated signal transduction pathway, respectively. Clusters of genes expressed by stromal cells and lymphocytes in the breast tumors also were identified in this analysis. These results support the feasibility and usefulness of this systematic approach to studying variation in gene expression patterns in human cancers as a means to dissect and classify solid tumors. This study is described more fully in Perou CM, et al. 1999. Proc Natl Acad Sci USA 96:9212-7 Keywords: other
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Keyword
Dataset Accession

Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset

Dataset Accession
Tool Name
Direction
Geneset

Interaction network and enrichment analysis of genes downregulated in breast cancer
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated in breast cancer
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Small molecules which mimic breast cancer
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse breast cancer
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated in breast cancer
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Enrichment analysis of genes downregulated in breast cancer
An enrichment analysis was performed on the top 500 most downregulated genes identified by...
Enrichment analysis of genes upregulated in breast cancer
An enrichment analysis was performed on the top 500 most upregulated genes identified by a...
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