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Identification of a spinal circuit for skilled locomotion

GSE304439 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/08/31 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × Long ascending propriospinal neurons vs 5 × Long descending propriospinal neuronsGroups 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
A spinal circuit for skilled locomotionCurrent biology : CB · 2025
Summary (written by the submitters)
Neural circuits in the spinal cord have a critical role in integrating sensory information and descending commands to coordinate body movements. Defining the functional diversity of spinal neurons is therefore essential for understanding the mechanisms underlying motor control. In this study, by combining anatomical, molecular, and functional analyses in mice, we identified and characterized a subtype of ascending spinal neurons belonging to the V0g family.
Read the full summary ↓
We found that V0g ascending neurons are integrated in lumbar sensorimotor circuits and their function is specifically required for the execution of precise limb movements necessary for skilled locomotion. This work advances our understanding of the functional organization of V0 neurons and highlights a previously unappreciated role in adjusting body movements to the more demanding needs of skilled locomotor tasks
Published in
A spinal circuit for skilled locomotion
Toscano E, Evtushenko N, Giomi M et al. · Current biology : CB 2025 · PMID 41045926 · doi:10.1016/j.cub.2025.09.030
This dataset
Open GSE304439 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 GSE304439_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: 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 PRJNA1301309 and SRA study SRP607336. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41045926) ↗
Study design
5 × Long ascending propriospinal neurons vs 5 × Long descending propriospinal neurons

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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
Datasets on a similar topic

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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.