GEO series

Highly efficient generation of induced pluripotent stem cells from human keratinocytes

GSE12583 Homo sapiens (human) Expression microarray 9 samples Submitted 2008/10/27 Platform GPL570

At a glance

Expression microarray · human · 9 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 9 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

The generation of induced pluripotent stem (iPS) cells 1-4 has spawned unprecedented opportunities for investigating the molecular logic that underlies cellular pluripotency and reprogramming, as well as for obtaining patient-specific cells for future clinical applications. However, both prospects are hampered by the low efficiency of the reprogramming process.

Read the full summary ↓

Here, we show that juvenile human primary keratinocytes can be efficiently reprogrammed to pluripotency by retroviral transduction with Oct4, Sox2, Klf4 and c-Myc. Keratinocyte-derived iPS (KiPS) cells appear indistinguishable from human embryonic stem (hES) cells in colony morphology, growth properties, expression of pluripotency-associated transcription factors and surface markers, as well as in vitro and in vivo differentiation potential. Notably, keratinocyte reprogramming to pluripotency is, at least, 100-fold more efficient and 2-fold faster than that of fibroblasts. This increase in reprogramming efficiency allowed us to expand the practicability of the technology and to generate KiPS cells from single plucked hairs from adult individuals.

This dataset

Open GSE12583 in finder → Find more human microarray datasets →

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 (GSE12583_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 PRJNA112635. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 18931654) ↗

Samples in this study

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+ 9 more — browse all 9 samples with per-sample file links →

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