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Sex-specific extracellular matrix remodeling in skeletal muscle after extended immobilization

GSE287100 Mus musculus (mouse) RNA-seq (gene expression) 112 samples Submitted 2025/02/15 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 112 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
112 samples: 112 samples, each with a distinct title — no replicated groupsGroups 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)
Extended periods of disuse can cause changes to the musculoskeletal system, particularly impacting the composition and strength of skeletal muscle. While many studies have investigated changes in muscle phenotype after unloading, majority of these studies were performed on animals of a single genetic background or sex. The effect of muscle immobilization on males compared to females, as well as genetic diversity, is not well understood.
Read the full summary ↓
The objective of this study was to investigate differential effects of skeletal muscle immobilization in genetically diverse outbred (DO) males and females through large-scale transcriptomic analysis, histopathological, and functional analyses. Transcriptomic analysis revealed both male and female have downregulated metabolism pathways during unloading. Investigation of matrix modifying pathways revealed differential expression of collagen related pathways, not matrix degradation pathways, in males compared to females. Histopathological analysis of collagen and functional analysis of muscle cross sectional area and volume correlated directly with transcriptomic analysis.
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 GSE287100_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 PRJNA1211123 and SRA study SRP557606. Searching any of these in the dataset finder brings you back here.

Study design
112 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 112 sample titles: 112 distinct titles with little repetition. 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

+ 72 more — browse all 112 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.