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Effects of diet-induced obesity and bariatric surgery (sleeve gastrectomy) on gene expression and signaling pathways in mouse salivary glands

GSE319064 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/05/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 samples: 3 × salivary gland, control diet, vs 3 × salivary gland, diet-induced obese, vs 3 × salivary gland, post- sleeve gastrectomy,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)
Obesity is increasingly recognized to affect oral and salivary gland health, yet the transcriptomic alterations underlying obesity-related salivary gland dysfunction and the effects of bariatric surgery remain incompletely understood. In this study, we investigated the impact of obesity and bariatric surgery on salivary gland structure and function at the transcriptomic level using a diet-induced obesity (DIO) mouse model and a sleeve gastrectomy (SG) model.
Read the full summary ↓
Histological changes were evaluated by hematoxylin and eosin (H&E) staining, and transcriptome sequencing was performed to identify differentially expressed genes (DEGs) among control, obese, and surgery groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to identify key biological pathways, followed by protein–protein interaction (PPI) network analysis and transcription factor regulatory network prediction. Histological analysis revealed acinar cell swelling and ductal dilation in salivary glands of obese mice. Transcriptomic profiling showed significant enrichment of DEGs in inflammation- and immune-related pathways, including the T cell receptor signaling pathway. Compared with the obese group, bariatric surgery partially improved structural alterations and was associated with downregulation of immune-related genes (Cd19 and Cd3e) and upregulation of lipid metabolism- and macrophage-related genes (Fabp4 and Adgre1). Transcription factor analysis suggested that Tcf7 and Irf4 may be involved in obesity-related salivary gland dysfunction through regulation of inflammation-related genes, and that transcriptional regulatory networks were remodeled after bariatric surgery. These findings indicate that obesity is closely associated with enhanced inflammatory and immune responses and dysregulation of metabolism-related pathways in salivary glands, while bariatric surgery may partially improve molecular features related to salivary gland structure and function by remodeling inflammation-immune and lipid metabolism-related pathways.
This dataset
Open GSE319064 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 GSE319064_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 PRJNA1422036 and SRA study SRP676136. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × salivary gland, control diet, vs 3 × salivary gland, diet-induced obese, vs 3 × salivary gland, post- sleeve gastrectomy,

Supports a case/control comparison: 3 samples read as cases, 3 as controls.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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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