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Alterations in chromatin architecture promote totipotent-like features in a DUX-dependent manner [RNA-Seq]

GSE289305 Mus musculus (mouse) Single-cell RNA-seq 27 samples Submitted 2026/03/27 Platform GPL30172Platform GPL21697
At a glance

Single-cell RNA-seq · mouse · 27 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
27 samples: 25 distinct titles, 2 of them repeatedGroups 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)
2-cell like cells (2CLC) are a transiently cycling population of cells with totipotent-associated features. Interestingly, CTCF depletion leads to 2CLC conversion in mouse ESC. However, the mechanism underlying this reprogramming or whether totipotent-like conversion depends on chromatin structural alterations or to CTCF-specific effects is unclear.
Read the full summary ↓
We demonstrate that 2CLC conversion mediated by CTCF loss depends on the transcription factor DUX and correlates with nucleolar integrity. We show that depletion of the cohesin release factor WAPL in ESC also promotes 2CLC reprogramming which is increased by CTCF co-depletion. Single-cell RNAseq/ATACseq analyses in CTCF/WAPL-depleted ESC revealed that chromatin accessibility precedes 2C-associated gene expression. Finally, although distinct transcriptional changes were associated to WAPL or CTCF depletion in human ESC, we did not detect any similarity in their transcriptome with those of early stages of human embryo development suggesting a lack of conservation. Our work revealed an intertwined link between higher-order chromatin organization and totipotency in mice.
This dataset
Open GSE289305 in finder → Find more RNA-seq datasets →
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.

Series matrix ↓
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 GSE289305_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1222377 and SRA study SRP563234. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
25 distinct titles, 2 of them repeated
Human ESC untreated, ×2 Human ESC dTAG, 72h, ×2

How we read this: Read from 27 sample titles: 25 distinct titles with little repetition. 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

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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.