GEO series

Gene expression profiles of normal human mammary cell subpopulations FACS sorted based on expression of CD49f and EpCAM

GSE16997 Homo sapiens Expression profiling by array 12 samples Submitted 2009/07/09 Platform GPL6884

Summary

To delineate epithelial subpopulations in human mammary tissue, hematopoietic and endothelial cells were depleted from freshly isolated cell suspensions derived from reduction mammoplasties by fluorescence-activated cell sorting. The resultant Lin- population was fractionated into four distinct subpopulations using CD49f (α6-integrin) and epithelial cell adhesion molecule (EpCAM; also referred to as CD326 and ESA). Based on the immunohistochemical phenotype, and in vivo and in vitro functional assays, these subpopulations were identified as fibroblast-enriched stromal (CD49f -EpCAM-), mammary stem cell (MaSC)-enriched (CD49f hiEpCAM-), luminal progenitor (CD49f +EpCAM+), and mature luminal (CD49f –EpCAM+) cell subpopulations. Microarray profiling was used to derive gene expression signatures representative of these subpopulations using freshly sorted cells (>90% purity) from normal breast tissue. The four mammary cell subpopulations were found to have distinct gene expression profiles.

This dataset

Open GSE16997 in finder → Find more human microarray datasets →

Download

Direct links to NCBI, no account and no request form: the whole study as GSE16997_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 12 samples.

Whole study · RAW.tar ↓ Series matrix ↓ All supplementary files ↗

Also filed as BioProject PRJNA117321. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 19648928) ↗

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 12 more — browse all 12 samples with per-sample file links →

Similar datasets

Search all human microarray datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.