GEO series

Rapamycin Reverses the Hepatic Response to Diet-Induced Metabolic Stress That Is Amplified by Aging.

GSE316732 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/01/16 Platform GPL34475

At a glance

RNA-seq (gene expression) · mouse · 24 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: 24 samples: 9 × Rapamycin treated high fat diet vs 8 × normal diet vs 7 × high fat dietGroups 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: Rapamycin Reverses the Hepatic Response to Diet-Induced Metabolic Stress That Is Amplified by AgingAging cell · 2026

Summary (written by the submitters)

Aging is associated with increased susceptibility to metabolic stress and chronic liver disease, yet the interactions between age and metabolic stressors and the potential for ameliorating interventions remain incompletely understood. Here, we examined the hepatic response of young (7-month-old) and old (25-month-old) C57BL/6 male mice to a 9-week high-fat diet (HFD) and assessed whether rapamycin, a well-established pro-longevity intervention, could mitigate age-exacerbated effects.

Read the full summary ↓

While both age groups developed metabolic-associated steatohepatitis (MASH), older mice displayed more severe hepatic steatosis, inflammation, and transcriptional dysregulation. Transcriptomic profiling of whole livers and purified hepatocytes revealed that aging amplifies HFD-induced inflammatory and metabolic gene expression changes, including activation of immune pathways and suppression of metabolic pathways. Notably, treatment of aging mice with rapamycin reversed the majority of HFD-driven transcriptional alterations, including upregulation of pro-inflammatory regulators such as Stat1, and dysregulation of metabolic gene networks. Rapamycin also reduced hepatosteatosis, total body weight, and a tumorigenic transcriptomic signature associated with hepatocellular carcinoma risk. These findings demonstrate that aging intensifies hepatic sensitivity to dietary metabolic stress and identify rapamycin as a promising therapeutic to counteract age-related liver dysfunction and metabolic dysfunction-associated steatotic liver disease (MASLD) progression.

Published in

Rapamycin Reverses the Hepatic Response to Diet-Induced Metabolic Stress That Is Amplified by Aging

Havas A, Rajesh A, Lei X et al. · Aging cell 2026 · PMID 41653162 · doi:10.1111/acel.70395

This dataset

Open GSE316732 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 GSE316732_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 PRJNA1404104 and SRA study SRP663470. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41653162) ↗

Study design

9 × Rapamycin treated high fat diet vs 8 × normal diet vs 7 × high fat diet

Supports a case/control comparison: 9 samples read as cases, 8 as controls.

How we read this: 3 replicated groups read from 24 sample titles; they account for 24 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

GSM9459082 normal diet rep1 normal diet
GSM9459083 normal diet rep2 normal diet
GSM9459084 high fat diet rep1 high fat diet
GSM9459085 normal diet rep3 normal diet
GSM9459086 high fat diet rep2 high fat diet
GSM9459087 normal diet rep4 normal diet
GSM9459088 high fat diet rep3 high fat diet
GSM9459089 high fat diet rep4 high fat diet
GSM9459090 normal diet rep5 normal diet
GSM9459091 Rapamycin treated high fat diet rep1 Rapamycin treated high …
GSM9459092 high fat diet rep5 high fat diet
GSM9459093 normal diet rep6 normal diet
GSM9459094 Rapamycin treated high fat diet rep2 Rapamycin treated high …
GSM9459095 normal diet rep7 normal diet
GSM9459096 Rapamycin treated high fat diet rep3 Rapamycin treated high …
GSM9459097 high fat diet rep6 high fat diet
GSM9459098 normal diet rep8 normal diet
GSM9459099 Rapamycin treated high fat diet rep4 Rapamycin treated high …
GSM9459100 high fat diet rep7 high fat diet
GSM9459101 Rapamycin treated high fat diet rep5 Rapamycin treated high …
GSM9459102 Rapamycin treated high fat diet rep6 Rapamycin treated high …
GSM9459103 Rapamycin treated high fat diet rep7 Rapamycin treated high …
GSM9459104 Rapamycin treated high fat diet rep8 Rapamycin treated high …
GSM9459105 Rapamycin treated high fat diet rep9 Rapamycin treated high …

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