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RNA-seq analysis of in vivo- and in vitro-produced mouse oocytes

GSE79729 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2016/10/17 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 23 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
Mus musculus (mouse)
Samples
23 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)
The female germline undergoes a unique line of differentiation processes that endows totipotency to the egg. During these processes, biologically significant events such as meiosis and oocyte growth are controlled in an orderly manner, with any disorder causing infertility and developmental arrest of the next generation. Reconstitution in vitro of the entire process of oogenesis from pluripotent stem cells is a key achievement in stem cell biology and regenerative medicine, but a robust and reproducible culture system has not been established.
Read the full summary ↓
Here, we report successful reconstitution in vitro throughout the entire process of oogenesis from pluripotent stem cells, yielding in vitro-produced eggs that gave rise to healthy pups. Moreover, the pluripotent stem lines were re-derived from the in vitro-generated eggs, thereby reconstituting one generation on a dish. This culture system will provide a unique platform for elucidating the molecular mechanisms underlying totipotency and could open an avenue to producing vast numbers of eggs in vitro.
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 GSE79729_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 PRJNA316864 and SRA study SRP072570. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 23 more — browse all 23 samples with per-sample file links →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.