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Novel effects of reverse transcriptase inhibitor supplementation in skeletal muscle of old mice

GSE284098 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/06/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Novel effects of reverse transcriptase inhibitor supplementation in skeletal muscle of old micePhysiological genomics · 2025
Summary (written by the submitters)
Aging is the primary risk factor for the development of many chronic diseases, including dementia, cardiovascular disease, and diabetes. There is significant interest in identifying novel “geroprotective” agents, including by repurposing existing drugs, but such treatments may affect organ systems differently. One current example is the nucleoside reverse transcriptase inhibitor 3TC, which has been increasingly studied as a potential gerotherapeutic.
Read the full summary ↓
Recent data suggest 3TC may reduce inflammation and improve cognitive function in older mice; however, the effects of 3TC on other tissues in aged animals are less well characterized. Here, we use transcriptomics (RNA-seq) and targeted metabolomics to investigate the influence of 3TC supplementation on skeletal muscle in older mice. We show that 3TC: (a) does not overtly affect muscle mass or functional/health markers; (b) largely reverses age-related changes in gene expression and metabolite signatures; and (c) is potentially beneficial for mitochondrial function in old animals via increases in antioxidant enzymes and decreases in mitochondrial reactive oxygen species. Collectively, our results suggest that, in addition to its protective effects in other tissues, 3TC supplementation does not have adverse effects in aged muscle and may even protect muscle/mitochondrial health in this context.
Published in
Novel effects of reverse transcriptase inhibitor supplementation in skeletal muscle of old mice
Osburn SC, Smith ME, Wahl D et al. · Physiological genomics 2025 · PMID 40062980 · doi:10.1152/physiolgenomics.00115.2024
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 GSE284098_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 PRJNA1197066 and SRA study SRP550963. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Old untreated female ×3 Old untreated male ×3 Old 3TC treated female ×3 Old 3TC treated male ×3 Young untreated female ×3 Young untreated male ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.