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KAT6B overexpression rescues embryonic lethality in homozygous null KAT6A mice restoring vitality and normal lifespan [RNA-seq]

GSE287244 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/02/24 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Kat6a WT Kat6b WT, vs 4 × Kat6a KO Kat6b WT, vs 4 × Kat6a WT Kat6b Tg, vs 4 × Kat6a KO Kat6b Tg,Groups 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 rescues embryonic lethality in homozygous null KAT6A mice restoring vitality and normal lifespanNature communications · 2025
Summary (written by the submitters)
Closely related genes typically display common essential functions but also functional diversification, ensuring retention of both genes throughout evolution. The histone lysine acetyltransferases KAT6A (MOZ) and KAT6B (QKF/MORF), sharing identical protein domain structure, are mutually exclusive catalytic subunits of a multiprotein complex.
Read the full summary ↓
Mutations in either KAT6A or KAT6B result in congenital intellectual disability disorders in human patients. In mice, loss of function of either gene results in distinct, severe phenotypic consequences. In this dataset, we investigate the effects of overexpression of KAT6B on the gene expression changes caused by loss of KAT6A in mouse E9.5 embryos. We show that Kat6b overexpression reverses critical gene expression anomalies in Kat6a mutant embryos.
Published in
KAT6B overexpression rescues embryonic lethality in homozygous null KAT6A mice restoring vitality and normal lifespan
Bergamasco MI, Yang Y, Garnham AL et al. · Nature communications 2025 · PMID 40000651 · doi:10.1038/s41467-025-57155-4
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 GSE287244_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 PRJNA1211682 and SRA study SRP557930. Searching any of these in the dataset finder brings you back here.

Study design
4 × Kat6a WT Kat6b WT, vs 4 × Kat6a KO Kat6b WT, vs 4 × Kat6a WT Kat6b Tg, vs 4 × Kat6a KO Kat6b Tg,

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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