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

GSE16997 Homo sapiens (human) Expression microarray 12 samples Submitted 2009/07/09 Platform GPL6884
At a glance

Expression microarray · human · 12 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
12 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
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).
Read the full summary ↓
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
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE16997_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

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

Samples in this study

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