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Effects of loss and gain of the histone acetyltransferase KAT6B on DNA accessibility (ATAC-seq)

GSE267675 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2024/11/06 Platform GPL30172
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
16 samples: 4 × C57BL/6 WT sample vs 4 × C57BL/6 Kat6b KO sample vs 4 × FVB x BALB/c WT sample vs 4 × FVB x BALB/c Tg(Kat6b) sampleGroups 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
KAT6B overexpression in mice causes aggression, anxiety, and epilepsyiScience · 2025
Summary (written by the submitters)
Heterozygous mutations in the histone acetyltransferase gene KAT6B (MYST4/MORF/QKF) cause cognitive disorders. Congruently, KAT6B is required for brain development, neural stem cell self-renewal and neuronal differentiation in mice. Despite the clear requirement for KAT6B in brain development, its molecular roles remain unexplored. Here we use ATAC sequencing to determine the effects of loss or gain of KAT6B on DNA accessiblity.
Published in
KAT6B overexpression in mice causes aggression, anxiety, and epilepsy
Bergamasco MI, Ozturk E, Casillas-Espinosa PM et al. · iScience 2025 · PMID 40083716 · doi:10.1016/j.isci.2025.111953
This dataset
Open GSE267675 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 GSE267675_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 PRJNA1112383 and SRA study SRP508204. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40083716) ↗
Study design
4 × C57BL/6 WT sample vs 4 × C57BL/6 Kat6b KO sample vs 4 × FVB x BALB/c WT sample vs 4 × FVB x BALB/c Tg(Kat6b) sample

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
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.