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RNA-seq analysis of skeletal muscle from control (Cre) and Terf2 knockout (KO) mice in gastrocnemius-plantaris-soleus (GPS) and tibialis anterior (TA)

GSE325832 Mus musculus (mouse) RNA-seq (gene expression) 35 samples Submitted 2026/03/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 35 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
35 samples: 8 conditions, mostly with about 5 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.
Summary (written by the submitters)
To investigate the molecular effects of telomere damage in skeletal muscle by Terf2 knockout, we performed bulk RNA sequencing on gastrocnemius-plantaris-soleus (GPS) and tibialis anterior (TA) muscles isolated from Terf2 knockout (KO) and control (Cre) mice. Total RNA was extracted from dissected muscles and used for library preparation followed by paired-end sequencing.
Read the full summary ↓
Samples include both male and female 8 month old mice. The dataset comprises biological replicates from KO and Cre genotypes for each muscle type. FASTQ files correspond to quality-filtered and trimmed reads used for alignment.
This dataset
Open GSE325832 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 GSE325832_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 PRJNA1442039 and SRA study SRP686234. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 5 replicates each
GPS muscle from control (Cre) female mouse ×5 GPS muscle from control (Cre) male mouse ×5 TA muscle from Terf2 KO male mouse ×5 TA muscle from control (Cre) female mouse ×5 TA muscle from control (Cre) male mouse ×5 GPS muscle from Terf2 KO male mouse ×4 GPS muscle from Terf2 KO female mouse ×3 TA muscle from Terf2 KO female mouse ×3

Supports a between-group comparison across 35 samples.

How we read this: 8 replicated groups read from 35 sample titles; they account for 35 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

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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.