← BioTransfer GEO Dataset Finder
GEO series

Restoring age-related loss of the lactate receptor GPR81 improves mitochondrial function and mitigates skeletal muscle aging

GSE325224 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2026/06/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 7 × Young WT vs 7 × Homozygous LAKI vs 7 × Homozygous LAKI treated with CHBAGroups 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)
Skeletal muscle aging is associated with increased lipid accumulation, or myosteatosis, leading to lipotoxicity and loss of muscle function. Here, we report that loss of the novel lactate receptor GPR81 in aged muscle is associated with impaired lipid oxidation and enhanced lipid accumulation. Knockdown of GPR81 in young healthy myoblasts led to an increase in senescence hallmarks such as DNA damage, accumulation of reactive oxygen species (ROS), mitochondrial dysfunction and impaired autophagy.
Read the full summary ↓
Conversely, treatment of senescent myoblasts with GPR81 agonists enhanced lipid oxidation in senescent myoblasts leading to a decrease in lipid accumulation, ultimately resulting in decreased DNA damage, ROS accumulation and enhanced ability to form myotubes. In agreement with our in vitro findings, we observed significant improvement in muscle regeneration and overall health of aged or progeric mice that were treated with GPR81 agonists. Our findings suggest that GPR81 plays a key role in skeletal muscle lipid metabolism, and agonists of GPR81 might play a promising role in reversing age-associated lipid accumulation and loss of muscle function.
This dataset
Open GSE325224 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 GSE325224_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 PRJNA1337569. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 × Young WT vs 7 × Homozygous LAKI vs 7 × Homozygous LAKI treated with CHBA

Supports a case/control comparison: 7 samples read as cases, 7 as controls.

How we read this: 3 replicated groups read from 21 sample titles; they account for 21 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.