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Parkinson’s disease patient-derived induced pluripotent stem cells free of viral reprogramming factors

GSE14711 Homo sapiens (human) Expression microarray 11 samples Submitted 2009/03/06 Platform GPL570
At a glance

Expression microarray · human · 11 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
11 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Induced pluripotent stem cells (iPSCs) derived from somatic cells of patients by viral vector-mediated factor transduction represent a powerful tool for biomedical research and may provide a source for cell replacement therapies. However, the proviruses encoding the reprogramming factors represent a major limitation of the current technology because even low vector expression may alter the differentiation potential of the iPSCs and induce malignant transformation.
Read the full summary ↓
Here we show that fibroblasts from five patients with idiopathic Parkinson’s disease (PD) can be efficiently reprogrammed into hiPSCs and subsequently differentiated into dopaminergic neurons. Moreover, we derived PD specific hiPSCs free of reprogramming factors using Cre-recombinase excisable viruses. Upon factor deletion these cells maintain a pluripotent state and intact karyotype. Importantly, these factor-free hiPSCs show a global gene expression profile, which is more closely related to hESCs than to hiPSCs carrying the transgenes. Our results indicate that residual transgene expression in conventional virus-carrying hiPSCs can affect their molecular characteristics and that factor-free hiPSCs therefore represent a more suitable source of cells for modeling of human disease.
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 (GSE14711_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 PRJNA112099. Searching any of these in the dataset finder brings you back here.

Samples in this study

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