GEO series

Androgen receptor determines skeletal muscle sexual dimorphism [RNA-seq]

GSE341550 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/08/03 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 × TA, Control, biol vs 3 × TA, ORX, biol vs 3 × TA, ORX+DHT, biolGroups 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)

The molecular and functional bases of sexual dimorphism in skeletal muscle remain poorly understood. The androgen receptor (AR) is a major regulator of sex-biased gene expression in muscle, but its genomic targets and associated coregulators in vivo are incompletely defined. Using ChIL-seq and an AirID-AR knock-in mouse, we mapped AR-bound genes and AR-associated proteins in skeletal muscle and identified histone deacetylase–linked corepressors.

Read the full summary ↓

We further identified myosin binding protein H (Mybph) as a female-biased AR-repressed gene conserved in mouse and human muscle. Mybph loss disrupted sarcomeric organization and selectively delayed postinjury force recovery in female mice. These findings define an in vivo AR regulatory network and identify AR-dependent Mybph repression as a potential mechanism contributing to skeletal muscle sexual dimorphism.

This dataset

Open GSE341550 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 GSE341550_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 PRJNA1502913 and SRA study SRP721677. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

3 × TA, Control, biol vs 3 × TA, ORX, biol vs 3 × TA, ORX+DHT, biol

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

GSM9908957 TA, Control, biol rep1 TA, Control, biol
GSM9908958 TA, Control, biol rep2 TA, Control, biol
GSM9908959 TA, Control, biol rep3 TA, Control, biol
GSM9908960 TA, ORX, biol rep1 TA, ORX, biol
GSM9908961 TA, ORX, biol rep2 TA, ORX, biol
GSM9908962 TA, ORX, biol rep3 TA, ORX, biol
GSM9908963 TA, ORX+DHT, biol rep1 TA, ORX+DHT, biol
GSM9908964 TA, ORX+DHT, biol rep2 TA, ORX+DHT, biol
GSM9908965 TA, ORX+DHT, biol rep3 TA, ORX+DHT, biol

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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.