← BioTransfer GEO Dataset Finder
GEO series

Dux cluster duplication ensures full activation of totipotent genes

GSE280037 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2025/02/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 22 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
22 samples: 9 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
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)
Zygotic genome activation (ZGA) confers to the mouse two-cell (2C)embryo a unique transcriptional profile characterized by transient up-regulation of many totipotency-related genes and MERVL retrotransposons. Intriguingly, those genes are duplicated and clustered in the genome during evolution, including Dux cluster, Obox and Zscan4 family members in mice.
Read the full summary ↓
However, the contribution and biological significance of the totipotency-related gene duplication events in early embryo development remain poorly understood. Here, we focus on Dux cluster, the master regulator of ZGA that is necessary and sufficient for the induction of 2C-like cells (2CLCs) and activation of totipotency-related genes in mouse embryonic stem cells (mESCs). By reducing Dux gene copies from 31 to 0 or 1 through CRISPR-Cas9 technology, we generate Dux-KO and Dux (n=1)mESC lines, respectively. We uncover that the totipotency-related gene transcriptional profile is awakened to a much lesser extent in Dux (n=1) mESCs compared to wild-type (WT) mESCs following global DNA demethylation reprogramming or induction of DNA damage, mimicking the intrinsic events in preimplantation development. Together, Dux cluster duplication is critically required for the full activation of ZGA transcripts.
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 GSE280037_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 PRJNA1176008 and SRA study SRP540160. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in duplicate
RNA-Seq, Duxnto1 ×4 RNA-Seq, E14-chen ×3 RNA-Seq, Dux-KO ×3 RNA-Seq, Dux-KO22-DMSO ×2 RNA-Seq, Dux-N22-DMSO ×2 RNA-Seq, WT-DMSO ×2 RNA-Seq, WT-GSK ×2 RNA-Seq, Dux-KO22-GSK ×2 +1 more

Supports a between-group comparison across 22 samples.

How we read this: 9 replicated groups read from 22 sample titles; they account for 22 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.