← BioTransfer GEO Dataset Finder
GEO series

ACTN3 genotype influences androgen response in skeletal muscle

GSE299080 Mus musculus (mouse) RNA-seq (gene expression) 46 samples Submitted 2025/08/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 46 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
46 samples: 8 conditions, mostly with about 6 replicates eachGroups 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
ACTN3 genotype influences androgen response in developing murine skeletal muscleScience advances · 2025
Summary (written by the submitters)
Androgens act through androgen receptor (AR) to maintain muscle mass. Evidence suggests that this pathway is influenced by ACTN3 (α-actinin-3) - “the Gene for Speed”. Given that one in 5 people worldwide lack α-actinin-3, it is possible they may respond to androgens differently. In this study, we show that α-actinin-3 deficiency decreases AR in skeletal muscles of mice and humans (in males and females), and that AR levels positively correlate with α-actinin-3 expression in a dosage dependent manner.
Read the full summary ↓
α-Actinin-3 deficiency exacerbates gastrocnemius muscle mass loss with androgen deprivation in male mice, and stunts the muscle growth response to dihydrotestosterone at the onset of puberty in female mice. This is mediated by differential activation of pathways regulating amino acid metabolism, intracellular transport, autophagy, mitochondrial activity, MAPK and calcineurin signalling, which may be driven by 7 key genes that are both androgen sensitive and α-actinin-3-dependent in expression. Our results highlight a role for α-actinin-3 in the regulation of muscle mass and suggest that ACTN3 is a genetic modifier of androgen action in skeletal muscle.
Published in
ACTN3 genotype influences androgen response in developing murine skeletal muscle
Roeszler KN, See M, Meehan LR et al. · Science advances 2025 · PMID 40864710 · doi:10.1126/sciadv.adw1059
This dataset
Open GSE299080 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 GSE299080_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 PRJNA1272536 and SRA study SRP590146. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40864710) ↗
Study design
8 conditions, mostly with about 6 replicates each
WT_DHT ×6 KO_DHT ×6 KO_SHAM ×6 KO_ORX ×6 WT_SHAM ×6 WT_ORX ×6 WT_Empty ×5 KO_Empty ×5

Supports a between-group comparison across 46 samples.

How we read this: 8 replicated groups read from 46 sample titles; they account for 46 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

+ 6 more — browse all 46 samples with per-sample file links →

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.