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Effects of histone acetyltransferase dead mutation of KAT6A and KAT6B on gene expression in E9.5 mouse embryos and E14.5 mouse foetal liver hematopoietic cells

GSE318436 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/05/17 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 10 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.
Summary (written by the submitters)
The paralogous histone acetyltransferases KAT6A and KAT6B are large 200 kDa proteins of identical protein domain structure with high sequence similarity within the functional protein domains. Kat6a and Kat6b null mutation have severe effects on mouse embryonic and foetal development as well as on adult stem cell populations.
Read the full summary ↓
Apart from the well-defined MYST family histone acetyltransferase domain, the proteins have N-terminal winged-helix domains followed by tandem plant homeodomain fingers preceding the histone acetyltransferase domain, as well as a long unstructured acidic region and serine and methionine rich regions following the histone acetyltransferase domain. In this study we examined the effects of point mutations that reduce the histone acetyltransferase function to background levels on gene expression in E9.5 mouse embryos and E14.5 mouse foetal liver haematopoietic cells and compared these to the effects of the null mutations of the Kat6a and Kat6b gene.
This dataset
Open GSE318436 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 GSE318436_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 PRJNA1418728 and SRA study SRP674632. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 conditions, mostly with about 4 replicates each
Kat6a WT Kat6b WT embryo, ×4 Kat6a cfd/cfd Kat6b WT embryo, ×4 Kat6a WT Kat6b dec/dec embryo, ×4 Kat6a G656E/G656E Kat6b WT embryo, ×4 Kat6a WT Kat6b G577E/G577E embryo, ×4 Kat6a G656E/G656E Kat6b G577E/G577E embryo, ×4 Kat6a WT Kat6b WT foetal liver, ×4 Kat6a WT Kat6b G577E/G577E foetal liver, ×4 +2 more

Supports a between-group comparison across 40 samples.

How we read this: 10 replicated groups read from 40 sample titles; they account for 40 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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