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Metabolic and Skeletal Muscle Dysfunctions Correlate with Fatigue-Like Behavior in an Animal Model of Multiple Sclerosis

GSE326115 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/08/05 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Multiple sclerosis associated fatigue (MS fatigue) is one of the most common and troubling symptoms experienced by people with MS, but the cause of MS fatigue remains unknown. The nature of cognitive and physical exhaustion suggests that MS fatigue can be a metabolic disease that impacts energy demanding processes such as neuronal activity and skeletal muscle contraction.
Read the full summary ↓
In this study, we investigated how autoimmune-mediated inflammation causes skeletal muscle atrophy and metabolic dysfunctions, which may contribute to MS fatigue. Using a relapsing-remitting model experimental autoimmune encephalomyelitis (EAE), we found that disease manifestations substantially altered the metabolic activities of the mice over time. EAE decreased muscle mass and force input in both fast-twitch extensor digitorum longus (EDL) and slow-twitch soleus muscles but only increased the rate of fatigue in EDL muscle. Gene expression analysis of EDL muscle shows that genes related to cellular respiration and mitochondrial functions were significantly down regulated during when EAE manifestations were the most severe, but this genotype was reversed during disease remission. In addition, EAE-induced mice showed fatigue-like behavior during treadmill test. Surprisingly, this fatigue-like behavior was also observed with mice immunized with a CNS non-specific antigen, suggesting the contributions of the central nervous system-independent immune activation. To our knowledge, this is the first report to characterize skeletal muscle properties and fatigue-like behavior in mice following EAE induction.
This dataset
Open GSE326115 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 GSE326115_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 PRJNA1443394 and SRA study SRP687015. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 30 sample titles: 30 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
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.