GEO series

SNP analysis of human induced pluripotent stem cells

GSE31035 Homo sapiens (human) SNP genotyping by SNP array 12 samples Submitted 2011/09/01 Platform GPL13829

At a glance

human · 12 samples

Organism: Homo sapiens (human)
Samples: 12 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

Human induced pluripotent stem cells (hIPSCs) represent a unique opportunity for regenerative medicine since they offer the prospect of generating unlimited quantities of cells for autologous transplantation as a novel treatment for a broad range of disorders. However, the use of hIPSCs in the context of genetically inherited human disease will require correction of disease-causing mutations in a manner that is fully compatible with clinical applications.

Read the full summary ↓

We analyzed hiPSC line and genetically modified derivatives using high-density SNP array to investigate genomic instability associated reprogramming and genetic modification.

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 (GSE31035_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 ↓

Also filed as BioProject PRJNA144907. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21993621) ↗

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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