← BioTransfer GEO Dataset Finder
GEO series

Obesity promotes urinary tract infection by disrupting urothelial immune defenses

GSE294660 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2025/09/19 Platform GPL21103
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: 4 × female LFD urothelium vs 4 × female HFD urothelium vs 4 × male HFD urothelium vs 4 × male LFD urotheliumGroups 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
Obesity promotes urinary tract infection by disrupting bladder focal adhesion kinase signalingiScience · 2025
Summary (written by the submitters)
Obesity is a significant public health concern associated with increased infection risk, but the mechanisms remain unclear. Using a diet induced obesity mouse model, we investigate how obesity impacts urinary tract infection (UTI) susceptibility and bladder urothelial defenses. High fat diet-fed female and male C57BL/6 mice exhibit increased susceptibility to uropathogenic E.
Read the full summary ↓
coli (UPEC) following experimental UTI. Transcriptomic analysis of bladder urothelial cells reveals sex-specific gene expression changes, but both sexes share activation of focal adhesion and extracellular matrix signaling. Western blot and immunostaining confirm activation of focal adhesion kinase (FAK), a central component of the focal adhesion pathway, in the bladders of obese female and male mice. Mechanistically, primary human urothelial cells overexpressing FAK exhibit increased UPEC invasion. These findings demonstrate that obesity enhances UTI susceptibility and identify FAK as a conserved pathway disrupted by obesity, contributing to increased UPEC vulnerability.
Published in
Obesity promotes urinary tract infection by disrupting bladder focal adhesion kinase signaling
Schwartz L, Salamon K, Simoni A et al. · iScience 2025 · PMID 41280678 · doi:10.1016/j.isci.2025.113862
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 GSE294660_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 PRJNA1251054 and SRA study SRP578771. Searching any of these in the dataset finder brings you back here.

Study design
4 × female LFD urothelium vs 4 × female HFD urothelium vs 4 × male HFD urothelium vs 4 × male LFD urothelium

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 28 sample titles; they account for 16 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.