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SETDB1/HUSH modulates Xist RNA levels during establishment of X chromosome inactivation [ChIP-Seq]

GSE309423 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 42 samples Submitted 2026/03/12 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 42 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
42 samples: 42 samples, each with a distinct title — no replicated groupsGroups 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
SETDB1 and HUSH modulate Xist RNA levels during establishment of X chromosome inactivationNature communications · 2026
Summary (written by the submitters)
The non-coding RNA Xist mediates X chromosome inactivation (XCI) in mammals, functioning in cis to direct heterochromatin formation over a single X chromosome in cells of early female embryos. Prior studies have determined that Xist transcription and turnover are modulated to maintain the correct level of Xist RNA to inactivate a single X chromosome.
Read the full summary ↓
The underlying molecular mechanisms are poorly understood. In this study we demonstrate that RNA-dependent recruitment of the H3K9me3 methyltransferase SETDB1 and the HUSH complex across the transcribed Xist locus functions to suppress Xist transcription during establishment of XCI. Thus, degron-mediated acute depletion of SETDB1 or core HUSH subunits abrogates allelic H3K9me3 deposition, increasing Xist transcription, accumulation of Xist RNA, and the rate of X chromosome gene silencing. Our findings support a model in which the SETDB1/HUSH pathway coordinates Xist transcription rates to maintain optimal Xist RNA levels, ensuring the silencing of a single X chromosome.
Published in
SETDB1 and HUSH modulate Xist RNA levels during establishment of X chromosome inactivation
Almeida M, Wei G, Cawte AD et al. · Nature communications 2026 · PMID 41957023 · doi:10.1038/s41467-026-71569-8
This dataset
Open GSE309423 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE309423_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1336065 and SRA study SRP629422. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41957023) ↗
Study design
42 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 42 sample titles: 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

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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.