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

GSE310108 Mus musculus (mouse) RNA-seq (gene expression) 112 samples Submitted 2026/03/12 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 112 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
112 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.
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
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 GSE310108_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 PRJNA1365147 and SRA study SRP645406. Searching any of these in the dataset finder brings you back here.

Samples in this study

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