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ATAD2 drives HIRA/histone H3.3-dependent chromatin dynamics

GSE277943 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/01/05 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
ATAD2 mediates chromatin-bound histone chaperone turnovereLife · 2026
Summary (written by the submitters)
ATAD2, expressed predominantly in embryonic stem cells as well as in spermatogenic cells emerges as a pivotal regulator of chromatin dynamics by mediating chromatin-bound histone chaperone turnover. Here, investigating the role of ATAD2 in spermatogenesis, we show that through its preponderant expression in haploid male germ cells, ATAD2 modulates the HIRA-dependent H3.3 genome localization and H3.3-dependent gene transcriptional regulation.
Read the full summary ↓
Furthermore, by influencing histone eviction and the assembly of protamines, it ensures proper chromatin condensation and genome packaging in mature spermatozoa. The disruption of Atad2 results in aberrant mature spermatozoa genome organization, impacting male fertility. Collectively, these findings confirm the occurrence of an overlooked chromatin dynamic regulatory level controlling histone deposition-removal balance, depending on an ATAD2-controlled histone chaperone-chromatin interaction.
Published in
ATAD2 mediates chromatin-bound histone chaperone turnover
Liakopoulou A, Boussouar F, Perazza D et al. · eLife 2026 · PMID 41557467 · doi:10.7554/eLife.107582
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 GSE277943_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 PRJNA1164783 and SRA study SRP534532. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly with about 4 replicates each
testis, d20_ko ×4 testis, d20_wt ×4 testis, d22_ko ×4 testis, d22_wt ×4 testis, d24_ko ×2 testis, d24_wt ×2 testis, d26_ko ×2 testis, d26_wt ×2

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.