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Exercise alleviates cognitive dysfunction in Alzheimer’s disease mice via skeletal muscle-derived extracellular vesicles which enhance plaque clearance by microglia [RNA-Seq]

GSE313455 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/12/18 Platform GPL24247
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 × AB vs 5 × AB378Groups 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)
Exercise confers cognitive benefits in Alzheimer’s disease (AD), yet the underlying mechanisms remain incompletely understood. The skeletal muscle functions as an endocrine organ that secretes myokines which affect the homeostasis of extra-muscular organs, including the brain. Here, we found that swimming exercises promoted the secretion of skeletal muscle-derived extracellular vesicles (SKM-EVs), which subsequently pinocytosis by microglia.
Read the full summary ↓
Gain- and loss-of-function experiments showed that exercised SKM-EVs activated the polarization of disease-associated microglia (DAM) and enhanced the clearance of amyloid-beta (Aβ) plaques. Furthermore, miR-378a-3p was identified as the key miRNA in SKM-EVs and promoted lipid metabolism in DAM by targeting p110α. Importantly, the therapeutic administration of EVs derived from mir-378a overexpressing myotubes alleviated cognitive impairment in AD mice. Together, our findings demonstrate that exercised SKM-EVs could serve as a novel myokine mediating communication from skeletal muscle to the brain and develop alternative therapeutic strategies for exercise in AD treatment.
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 GSE313455_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 PRJNA1379567 and SRA study SRP654439. Searching any of these in the dataset finder brings you back here.

Study design
5 × AB vs 5 × AB378

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
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