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The geroprotectors trametinib and rapamycin combine additively to extend mouse healthspan and lifespan

GSE288795 Mus musculus (mouse) RNA-seq (gene expression) 111 samples Submitted 2025/03/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 111 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
111 samples: 24 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.
Paper
The geroprotectors trametinib and rapamycin combine additively to extend mouse healthspan and lifespanNature aging · 2025
Summary (written by the submitters)
Suppression of the insulin-IGF-mTORC1-Ras network ameliorates aging in animals. Many drugs have targets in the network because of its roles in cancer and metabolic disease and are candidates for repurposing as geroprotectors. Rapamycin, an established geroprotective drug, blocks mTORC1 signaling, and trametinib inhibits the Ras-MEK-ERK pathway.
Read the full summary ↓
In this study, we assessed survival and health of male and female mice treated with trametinib, rapamycin or their combination. We show here that trametinib treatment extended lifespan in both sexes and that its combination with rapamycin was additive. Combination treatment reduced liver tumors in both sexes and spleen tumors in male mice, blocked the age-related increase in brain glucose uptake and strongly reduced inflammation in brain, kidney, spleen and muscle and circulating levels of pro-inflammatory cytokines. We conclude that trametinib is a geroprotector in mice and that its combination with rapamycin is more effective than either drug alone, making the combination a candidate for repurposing as a gerotherapy in humans.
Published in
The geroprotectors trametinib and rapamycin combine additively to extend mouse healthspan and lifespan
Gkioni L, Nespital T, Baghdadi M et al. · Nature aging 2025 · PMID 40437307 · doi:10.1038/s43587-025-00876-4
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 GSE288795_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 PRJNA1219486 and SRA study SRP561696. Searching any of these in the dataset finder brings you back here.

Study design
24 conditions, mostly with about 5 replicates each
Male Spleen Control Biol ×6 Female Muscle Rapamycin Biol ×5 Female Muscle Trametinib Biol ×5 Male Muscle Control Biol ×5 Female Muscle Control Biol ×5 Female Kidney Rapamycin/Trametinib Biol ×5 Male Kidney Trametinib Biol ×5 Female Kidney Trametinib Biol ×5 +16 more

Supports a between-group comparison across 111 samples.

How we read this: 24 replicated groups read from 111 sample titles; they account for 111 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

+ 71 more — browse all 111 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.