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A generic drug combination synergizes as exercise enhancers to ameliorate various metabolically-related diseases

GSE255008 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2026/03/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 28 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
28 samples: 28 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)
To confirm if the combination of A and B therapy is beneficial for metabolic disease, we fed genetically obese Lepob/Lepob mice with a high fat, high fructose, high cholesterol diet ad libitum, to establish liver steatosis and moderate fibrosis in a way that faithfully recapitulates key features of human metabolic disease. And we performed gene expression analysis on muscle and liver from metabolic disease mice after treatment.
Read the full summary ↓
24 hours after drug treatment, the quadriceps muscle significantly upregulating gene signatures for innervation (NGF signaling), mitochondrial fatty acid oxidation (FAO) and vascularization (VEGF signaling). In the liver there was an increase in liver development genes and an increase in mitochondrial genes 24 hours after drug treatment. After 40 days of treatment, the drug treatment increased insulin-PI3K-mTOR signaling and neuromuscular Slit-Robo signaling, while decreasing extracellular matrix collagen production and fatty acid metabolism in muscles. The drug treatment increased anti-inflammatory signatures while decreasing lipogenesis signaling in the live. Taken together, our data showed that the liver is reversing steatosis and inflammation, and the muscle increased muscle insulin signaling sensitivity and function in metabolic disease after the drug treatment.
This dataset
Open GSE255008 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 GSE255008_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 PRJNA1073195 and SRA study SRP488022. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
28 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 28 sample titles: 28 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
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.