← BioTransfer GEO Dataset Finder
GEO series

Z-DNA formation induces the totipotent-like state and primes Zscan4-dependent chromatin compartmentalization [RNA-Seq]

GSE291987 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2025/12/11 Platform GPL30172
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: 11 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.
Paper
Z-DNA formation regulates the totipotent-like state and primes Zscan4-dependent chromatin compartmentalizationNature structural & molecular biology · 2026
Summary (written by the submitters)
A remarkable transition during murine development is the progression from the 1-cell embryo to the 2-cell stage, accompanied by the activation of a specific set of embryonic genes, epigenome reprogramming, and nuclear architecture reorganization. Some of these characteristics are recapitulated in vitro with the spontaneous emergence of 2-cell-like cells from mouse embryonic stem cells, which exhibit a transcriptomic signature resembling the 2-cell stage, including the expression of genes such as Dux, Zscan4, and the repetitive element MERVL, and a more relaxed chromatin state.
Read the full summary ↓
Here, we show that inter-and intra-chromosomal interactions, driven by Zscan4 chromatin factors, form during this transition and segregate into a distinct genomic compartment (Z compartment). Mechanistically, the formation of Z-DNA, an alternative DNA conformation regulated by polyamine levels, promotes the emergence of totipotent-like cells and the establishment of the Z compartment. This compartment is characterized by a decrease in active histone marks and a reduced expression of genes associated with differentiation and late developmental processes. Overall, these findings suggest that Z-DNA formation may play a dual role, first in activating ZGA genes and later in guiding genome compartmentalization to safeguard the totipotent-like state by restricting the expression of non-ZGA genes within a permissive chromatin environment.
Published in
Z-DNA formation regulates the totipotent-like state and primes Zscan4-dependent chromatin compartmentalization
Shajahan S, Loe-Mie Y, Asselin L et al. · Nature structural & molecular biology 2026 · PMID 41703099 · doi:10.1038/s41594-026-01751-5
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 GSE291987_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 PRJNA1236288 and SRA study SRP570502. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly in duplicate
2CLC-siCtrl ×3 2CLC-curaxin ×2 2CLC-DFMO-AMXT-24 ×2 2CLC-DFMO-AMXT-48 ×2 2CLC ×2 2CLC-siZscan4 ×2 mESC-curaxin ×2 mESC-DFMO-AMXT-24 ×2 +3 more

Supports a between-group comparison across 23 samples.

How we read this: 11 replicated groups read from 23 sample titles; they account for 23 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.