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Genetic mapping identifies Homer1 as a developmental modifier of attention [scRNA-seq]

GSE304383 Mus musculus (mouse) Single-cell RNA-seq 10 samples Submitted 2026/03/04 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 10 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
10 samples: 8 distinct titles, 2 of them repeatedGroups 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
Genetic mapping identifies Homer1 as a developmental modifier of attentionNature neuroscience · 2026
Summary (written by the submitters)
Attention is the process of directing cognitive resources toward specific stimuli and is required for most higher-order cognitive functions. The genetic factors and resulting neural circuit physiology that drive variation in this trait are not well understood. Here we took an unbiased forward genetics approach to identify genes of large effect on attention.
Read the full summary ↓
We performed genetic mapping on 200 genetically diverse mice and identified a small locus on chromosome 13 that is significantly associated with pre-attentive processing. Further characterization of the locus revealed Homer1, encoding a synaptic protein, as a potential driver gene that merited further investigation. Strikingly, down-regulation of specifically the short isoforms of Homer1 in prefrontal cortex (PFC) during an early developmental window led to improvements in multiple measures of attention in the adult. An important functional consequence of low Homer1 is a resulting upscaling of GABAergic receptors and enhanced inhibitory tone in PFC. These Homer1-dependent changes to inhibitory tone led to overall improvements in neural signal-to-noise, cue detection, and fast latency correct choices. We thus identify a single locus of large effect on attention and propose Homer1-dependent inhibitory tone, sculpted during a developmental sensitive period, as a key regulator of adult attentional performance.
Published in
Genetic mapping identifies Homer1 as a developmental modifier of attention
Gershon Z, Bonito-Oliva A, Kanke M et al. · Nature neuroscience 2026 · PMID 41430469 · doi:10.1038/s41593-025-02155-2
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 GSE304383_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 PRJNA1301227 and SRA study SRP606266. Searching any of these in the dataset finder brings you back here.

Study design
8 distinct titles, 2 of them repeated
PFC CC025 Pooled Sample # ×2 PFC CC083 Pooled Sample # ×2

Supports a case/control comparison: 3 samples read as cases, 3 as controls.

How we read this: Read from 10 sample titles: 8 distinct titles with little repetition. 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.