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Splice isoform-perturbation coupled to single cell transcriptome profiling reveals functions of microexons in neurogenesis and autism-linked pathways [snRNA-Seq]

GSE291610 Mus musculus (mouse) Single-nucleus RNA-seq 96 samples Submitted 2025/11/28 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 96 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).
Organism
Mus musculus (mouse)
Samples
96 samples: 8 conditions, mostly with about 12 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
Splice isoform-perturbation coupled to single cell transcriptome profiling reveals functions of microexons in neurogenesis and autism-linked pathwaysNature communications · 2026
Summary (written by the submitters)
A major challenge of biomedical research is to assign functions to the myriad alternative RNA and protein isoforms. This challenge is particularly relevant to the mammalian nervous system, which produces complex repertoires of alternative splicing events. Here, we describe CHyMErA-seq, a platform that couples systematic deletion of exons to a single cell transcriptomics read-out, and apply this method to investigate a critical program of brain-specific microexons.
Read the full summary ↓
Perturbation of microexons during neurogenesis reveals convergent roles in the temporal regulation of gene expression programs that direct signalling pathways and morphogenesis. We further observe microexons, including those in the Bin1, Clasp1, Gfra1, Med23, Ptprf and Ralgapb genes, that are required for the correct timing of autism-linked gene expression. Collectively, we describe a flexible system for isoform-resolution perturbation at a single cell level, together with insights into the roles of microexons in the developmental timing of neurogenesis transcriptomic signatures linked to brain disorders.
Published in
Splice isoform-perturbation coupled to single cell transcriptome profiling reveals functions of microexons in neurogenesis and autism-linked pathways
Dupas SJ, Parada GE, Li JD et al. · Nature communications 2026 · PMID 41633977 · doi:10.1038/s41467-025-67931-x
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 GSE291610_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: 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 PRJNA1234491 and SRA study SRP569523. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly with about 12 replicates each
P1-A ×12 P1-B ×12 P1-C ×12 P1-D ×12 P1-E ×12 P1-F ×12 P1-G ×12 P1-H ×12

Supports a between-group comparison across 96 samples.

How we read this: 8 replicated groups read from 96 sample titles; they account for 96 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

+ 56 more — browse all 96 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.