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Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice

GSE341948 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/08/08 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × liver, db/db control group, vs 3 × liver, exercised,60min, vs 3 × liver, semaglutide,0.05 mg/kg, vs 3 × liver, semaglutide + HIIT, 0.05 mg/kg injection + 60 min exercise,Groups 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)
Type 2 diabetes mellitus (T2DM) involves coordinated multi-organ metabolic dysfunction, yet the systems-level effects of combined pharmacological and exercise interventions remain unclear. Male db/db mice received semaglutide, high-intensity interval training (HIIT), or both for eight weeks. Multi-organ bulk RNA-seq with qPCR validation and CellChat analysis was performed in heart, kidney, liver, hippocampus, and skeletal muscle.
Read the full summary ↓
Combined treatment produced the greatest reductions in food intake, body weight, and fasting glucose. Transcriptomic responses were organ-dependent, most pronounced in skeletal muscle and liver. Under combination therapy, DEGs in hippocampus and liver no longer reached thresholds relative to single interventions, consistent with unchanged hippocampal Glp1r and hepatic Plpp7 by qPCR, whereas heart, kidney, and skeletal muscle retained concordant regulation with further reductions in cardiac Cyp2ab1 and renal/muscle Apoa1. Cross-organ analysis identified coordinated modulation of the PPARα–Plin4 axis and suppression of lipid metabolic pathways, confirmed by qPCR. Inter-organ network analysis revealed increased communication numbers but reduced interaction strength under combination therapy. These findings demonstrate organ-specific transcriptional adaptation to combined HIIT and semaglutide.
This dataset
Open GSE341948 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 GSE341948_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 PRJNA1504874 and SRA study SRP722761. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × liver, db/db control group, vs 3 × liver, exercised,60min, vs 3 × liver, semaglutide,0.05 mg/kg, vs 3 × liver, semaglutide + HIIT, 0.05 mg/kg injection + 60 min exercise,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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