GEO series

Gene expression profiling of epithelial and mesenchymal subpopulations within immortalized human mammary epithelial cells

GSE28681 Homo sapiens (human) Expression microarray 8 samples Submitted 2011/04/19 Platform GPL570

At a glance

Expression microarray · human · 8 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 8 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

For gene expression profiling, we used immortalized human mammary epithelial cells (HMLE) to isolate a pure epithelial fraction of cells by positive selection for CD24 expression using Magnetic Activated Cell Sorting (=24hi). We independently isolated 3 mesenchymal subpopulations (msp1-3) from HMLE cells by collecting floating cells from cultured monolayer HMLE cells.

This dataset

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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.

Series matrix ↓

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 (GSE28681_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

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 PRJNA138939. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21663795) ↗

Samples in this study

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+ 8 more — browse all 8 samples with per-sample file links →

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