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Skeletal muscle-derived myostatin is a major endocrine driver of follicle-stimulating hormone synthesis

GSE275041 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/01/17 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 3 × Gonadotrope-specific Acvr1b conditional knockout female mouse # vs 3 × Control Acvr1b floxed female mouse # vs 2 × Gonadotrope-specific Tgfbr1 conditional knockout male mouse #Groups 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)
Myostatin is a paracrine myokine that regulates muscle mass in a variety of species, including humans. Here, we report a functional role for myostatin as an endocrine hormone directly promoting pituitary follicle-stimulating hormone (FSH) synthesis and thereby ovarian function. Previously, this FSH-stimulating role was attributed to other members of the transforming growth factor β family, the activins.
Read the full summary ↓
The results both challenge activin’s eponymous role in FSH synthesis and establish an endocrine axis between skeletal muscle and the pituitary gland. The data also suggest that efforts to antagonize myostatin to treat muscle wasting disorders or lean mass loss in individuals treated with GLP-1 receptor agonists may have unintended consequences on fertility.
This dataset
Open GSE275041 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 GSE275041_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 PRJNA1149002 and SRA study SRP526886. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × Gonadotrope-specific Acvr1b conditional knockout female mouse # vs 3 × Control Acvr1b floxed female mouse # vs 2 × Gonadotrope-specific Tgfbr1 conditional knockout male mouse #

Supports a case/control comparison: 6 samples read as cases, 5 as controls.

How we read this: 3 replicated groups read from 11 sample titles; they account for 8 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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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.