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Srrm2 haploinsufficiency drives SynGAP-γ reduction, Agap3 mis-splicing, and oligodendrocyte deficits in a genetic mouse model of schizophrenia

GSE299937 Mus musculus (mouse) Single-nucleus RNA-seq 180 samples Submitted 2026/04/14 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 180 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
180 samples: 36 conditions, mostly with about 5 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.
Paper
Srrm2 haploinsufficiency drives SynGAP-γ reduction, Agap3 mis-splicing, and oligodendrocyte deficits in a genetic mouse model of schizophreniaCell reports · 2026
Summary (written by the submitters)
To investigate the effects of loss of function of SRRM2, a risk gene for schizophrenia and developmental delay/intellectual disability (DD/ID), we performed bulk RNA sequencing of eight brain regions at 1 and 3 months of age. We also performed single-nucleus RNA sequencing of the prefrontal cortex and striatum at 1 month of age. Both experiments compared heterozygous Srrm2 mutant mice (Srrm2+/−) with wild-type littermate controls.
Published in
Srrm2 haploinsufficiency drives SynGAP-γ reduction, Agap3 mis-splicing, and oligodendrocyte deficits in a genetic mouse model of schizophrenia
Aryal S, Geng C, Yin MA et al. · Cell reports 2026 · PMID 42189682 · doi:10.1016/j.celrep.2026.117436
This dataset
Open GSE299937 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 GSE299937_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1277574 and SRA study SRP592545. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42189682) ↗
Study design
36 conditions, mostly with about 5 replicates each
1-month, Prefrontal Cortex, wild-type ×6 1-month, Prefrontal Cortex, heterozygous ×6 1-month, Striatum, wild-type ×6 1-month, Striatum, heterozygous ×6 3-month, cerebellar cortex, heterozygous ×5 3-month, cerebellar cortex, wild-type ×5 3-month, cerebellar vermis, heterozygous ×5 3-month, cerebellar vermis, wild-type ×5 +28 more

Supports a between-group comparison across 180 samples.

How we read this: 36 replicated groups read from 180 sample titles; they account for 180 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

+ 140 more — browse all 180 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.