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Remodeling p38 signaling in muscle controls locomotor activity via IL-15

GSE263912 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/03/23 Platform GPL16417
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 × gastrocnemius, COW vs 3 × gastrocnemius, HN vs 3 × gastrocnemius, KICGroups 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
Remodeling p38 signaling in muscle controls locomotor activity via IL-15Science advances · 2024
Summary (written by the submitters)
Exercise activation of muscle p38γ raises blood IL-15, which signal in the brain for a boost on locomotor activity.
Published in
Remodeling p38 signaling in muscle controls locomotor activity via IL-15
Folgueira C, Herrera-Melle L, López JA et al. · Science advances 2024 · PMID 39141732 · doi:10.1126/sciadv.adn5993
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 GSE263912_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 PRJNA1099905 and SRA study SRP501614. Searching any of these in the dataset finder brings you back here.

Study design
3 × gastrocnemius, COW vs 3 × gastrocnemius, HN vs 3 × gastrocnemius, KIC

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.