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Direct conversion of human fibroblasts to multilineage blood progenitors

GSE24621 Homo sapiens (human) Expression microarray 8 samples Submitted 2010/10/20 Platform GPL6244
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)
Similar to embryo-derived stem cells, application of human induced pluripotent stem cells (iPSCs) is limited by our understanding of lineage specification. Here, we demonstrate the ability to generate progenitors and mature cells of the hematopoietic fate directly from human dermal fibroblasts without establishing pluripotency. POU domain activation of hematopoietic transcription factors by ectopic expression of Oct-4, together with specific cytokine treatment, allowed generation of cells expressing the pan-leukocyte marker CD45.
Read the full summary ↓
These unique fibroblast-derived cells gave rise to granulocytic, monocytic, megakaryocytic, and erythroid lineages, and demonstrated in vivo engraftment capacity. Distinct from PSC-derived hematopoietic cells, adult and not embryonic hematopoietic programs are activated, consistent with bypassing pluripotent state to generate blood fate. These findings suggest an alternative approach to cellular reprogramming for autologous cell-replacement therapies that avoids complications associated with the use of human PSCs.
This dataset
Open GSE24621 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 (GSE24621_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 PRJNA132443. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21057492) ↗
Samples in this study

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

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