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Cryptic splice sites generate heterogeneous EZH2 isoforms with distinct functions in embryonic development [RNA-seq]

GSE278314 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/17 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Ezh2a, mutation, vs 3 × Ezh2a, wild type, vs 3 × Ezh2b, mutation, vs 3 × Ezh2b, wild type,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
EZH2 variants derived from cryptic splice sites govern distinct epigenetic patterns during embryonic developmentNucleic acids research · 2025
Summary (written by the submitters)
A novel Ezh2 variant was identified, we named Ezh2b, which is lost 27-nt region in the end of exon3, has different functions on embryonic development in mouse compared to Ezh2 with 27-nt region (namely as Ezh2a). Here, we apply transcriptome sequencing to explore the underlying molecular mechanisms.
Published in
EZH2 variants derived from cryptic splice sites govern distinct epigenetic patterns during embryonic development
Guo N, Guo Q, Zhan H et al. · Nucleic acids research 2025 · PMID 40923763 · doi:10.1093/nar/gkaf869
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 GSE278314_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 PRJNA1166315 and SRA study SRP535361. Searching any of these in the dataset finder brings you back here.

Study design
3 × Ezh2a, mutation, vs 3 × Ezh2a, wild type, vs 3 × Ezh2b, mutation, vs 3 × Ezh2b, wild type,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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