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X-chromosome upregulation operates on a gene-by-gene basis at RNA and protein levels [RNA-seq]

GSE282784 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/06/19 Platform GPL30172Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 13 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
X-chromosome upregulation operates on a gene-by-gene basis at RNA and protein levelsNature communications · 2025
Summary (written by the submitters)
Gene dosage compensation mechanisms are crucial for mammalian development. In mice, recent findings show that cells can sense the number of X chromosomes. Loss or inactivation of one of the two X chromosomes is compensated by upregulating the remaining active X chromosome, a process termed X-chromosome upregulation (XCU). However, how cells sense X-chromosome dosage and induce XCU remains unclear.
Read the full summary ↓
Here, we show that heterozygous X chromosome fragment deletions in mouse pluripotent stem cells induces XCU in trans, and that compensation takes place at the mRNA and protein level. Furthermore, we found that inducing gene silencing in cis on autosomes induces gene dosage compensation in trans. This work provides significant insights into the molecular foundations of mammalian gene dosage compensation.
Published in
X-chromosome upregulation operates on a gene-by-gene basis at RNA and protein levels
Allsop RN, Boeren J, Tan BF et al. · Nature communications 2025 · PMID 41027898 · doi:10.1038/s41467-025-64195-3
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 GSE282784_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 PRJNA1190421 and SRA study SRP547554. Searching any of these in the dataset finder brings you back here.

Study design
13 conditions, mostly in duplicate
XX Wildtype ×2 XX Rnf12 ×2 XO XCastO129 ×2 XO X129OCast ×2 Deletion C ×2 Deletion D ×2 Deletion E ×2 Deletion F ×2 +9 more

Supports a between-group comparison across 26 samples.

How we read this: 13 replicated groups read from 30 sample titles; they account for 26 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
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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.