GEO series

Systematic Identification of Defined Conditions for Induction and Maintenance of Naive Human Pluripotency [expression]

GSE59430 Homo sapiens (human) Expression microarray 7 samples Submitted 2014/07/16 Platform GPL16043

At a glance

Expression microarray · human · 7 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 7 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Embryonic stem cells (ESCs) of mice and humans have distinct molecular and biological characteristics, raising the question whether an earlier ‘naive’ state of pluripotency may exist in humans. Here we took a systematic approach to identify small molecules that support autonomous self-renewal of naive human ESCs based on maintenance of endogenous OCT4 distal enhancer activity, a molecular signature of ground state pluripotency.

Read the full summary ↓

Iterative chemical screening identified a combination of five kinase inhibitors that induces and maintains OCT4 distal enhancer activity when applied directly to conventional human ESCs. These inhibitors generate a homogeneous population of human pluripotent stem cells in which transcription factors associated with the ground state of pluripotency are highly upregulated. Comparison with previously reported naive human ESCs indicates that our kinase inhibitor cocktail captures a novel pluripotent state in humans that closely resembles mouse ESCs.

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 (GSE59430_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 PRJNA255307. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25090446) ↗

Samples in this study

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+ 7 more — browse all 7 samples with per-sample file links →

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