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Pathological disruption of CELF2 shuttling causes neuronal hyperactivity, learning deficits, and seizures

GSE325228 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/05/14 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 samples: 3 × Input vs 3 × IgG RIP vs 3 × Celf2 RIPGroups 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)
De novo heterozygous variants in CELF2 have recently been associated with a rare neurodevelopmental disorder, yet the mechanisms linking specific variants to distinct clinical phenotypes remain poorly understood. Here, we report a cohort of 18 individuals and provide evidence that variants causing CELF2 mislocalization, but not protein-null variants, are associated with seizures.
Read the full summary ↓
Using proband-derived induced pluripotent stem cells and transgenic mouse models, we demonstrate that CELF2 undergoes activity-dependent nucleocytoplasmic shuttling in excitatory neurons and that its cytoplasmic retention causes neuronal hyperactivity, elevated seizure susceptibility, and learning and memory deficits. Cytoplasmic CELF2 regulates mRNAs critical for synaptic function and neuronal excitability and is implicated in epileptic seizures and intellectual disability. Drug screening further identifies AKT signaling as a key regulator of CELF2 nucleocytoplasmic shuttling and a candidate target for reversing neuronal hyperactivity. Together, our findings expand the clinical and genetic spectrum of CELF2-related neurodevelopmental disorders and establish a variant-specific mechanism that links CELF2 mislocalization to neuronal hyperactivity, seizures, and cognitive impairment.
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 GSE325228_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 PRJNA1439228 and SRA study SRP684779. Searching any of these in the dataset finder brings you back here.

Study design
3 × Input vs 3 × IgG RIP vs 3 × Celf2 RIP

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.