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Global transcriptional analysis of human extended pluripotent stem cells, human primed pluripotent stem cells, mouse extended pluripotent stem cells, and mouse embryonic stem cells by RNA-seq

GSE80732 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2017/04/06 Platform GPL16791Platform GPL13112
At a glance

RNA-seq (gene expression) · human · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
10 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
All mammals develop from embryonic founder cells with the ability to generate all of the differentiated cells that constitute the organism. Capture of stem cells with such developmental potential in vitro has been a major challenge in stem cell biology. Here, we show that a chemical cocktail enables the derivation of a new stem cell type from both mice and humans, designated as extended pluripotent stem (EPS) cells.
Read the full summary ↓
A single human or mouse EPS cell is able to contribute to both embryonic and extraembryonic lineages in inter- and intra-species chimeric mouse conceptuses respectively. Compared to known pluripotent stem cells, EPS cells show upregulation of gene modules marking embryonic cells from early preimplantation development. Further analysis shows that PARP1 inhibition is required for maintaining EPS potency. Our findings constitute a first step towards capturing authentic mammalian totipotency in vitro, and open new avenues for basic and translational research.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE80732_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA319819 and SRA study SRP074076. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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