GEO series

Highly efficient reprogramming to pluripotency and directed differentiation using synthetic mRNA

GSE23583 Homo sapiens (human) Expression microarray 35 samples Submitted 2010/09/30 Platform GPL570

At a glance

Expression microarray · human · 35 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 35 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Clinical application of induced pluripotent stem (iPS) cells is limited by low efficiency of iPS derivation, and protocols that permanently modify the genome to effect cellular reprogramming. Moreover, safe and effective means of directing the fate of patient-specific iPS cells towards clinically useful cell types are lacking. Here we describe a simple, non-mutagenic strategy for reprogramming cell fate based on administration of synthetic mRNA modified to overcome innate anti-viral responses.

Read the full summary ↓

We show that this approach can reprogram multiple human cell types to pluripotency with efficiencies that greatly surpass established protocols. We further show that the same technology can be used to efficiently direct the differentiation of RNA-induced pluripotent stem (RiPS) cells into terminally differentiated myogenic cells. Our method represents a safe, efficient strategy for somatic cell reprogramming and directing cell fates that has broad applicability for basic research, disease modeling and regenerative medicine.

This dataset

Open GSE23583 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 (GSE23583_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 PRJNA131835. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 20888316) ↗

Samples in this study

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+ 35 more — browse all 35 samples with per-sample file links →

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