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Deletion of Xist repeat B disrupts cell cycle and asymmetric cell division through Usp9x hyperactivation in mice

GSE278325 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/02/14 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 18 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
Deletion of Xist repeat B disrupts cell cycle and asymmetric cell division through Usp9x hyperactivation in miceNucleic acids research · 2025
Summary (written by the submitters)
During X-inactivation (XCI), Xist RNA establishes silencing by coating the chromosome in cis and binding diverse proteins to promote formation of a heterochromatic domain. However, Xist repeat B role beyond initiation of XCI remains unclear. Here, we find that loss of Xist repeat B in female mice allows survival and leads to a small body size persisting throughout life.
Read the full summary ↓
Epigenetic and transcriptomic analyses reveal low levels of H3K27me3 and H2AK119ub occupancy on the X chromosome, except in certain CpG island regions, and partial reactivation of X-linked genes on the inactive X across multiple tissues. Notably, overdosage of Usp9x promotes centrosome amplification and chromosome instability, increasing the propensity of tumorigenesis. We further demonstrate that Usp9x overdosage leads to abnormalities in asymmetric cell division, thereby affecting the process of cell differentiation. Thus, Xist repeat B is necessary for gene-specific silencing during XCI maintenance and impacts cell proliferation and differentiation during development. This provides insights into repeat B importance in maintaining XCI.
Published in
Deletion of Xist repeat B disrupts cell cycle and asymmetric cell division through Usp9x hyperactivation in mice
Liang M, Zhang L, Gong H et al. · Nucleic acids research 2025 · PMID 40042815 · doi:10.1093/nar/gkaf142
This dataset
Open GSE278325 in finder → Find more mouse 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 GSE278325_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: 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 PRJNA1166650 and SRA study SRP535464. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40042815) ↗
Study design
18 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 18 sample titles: 18 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.