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Single nucleus transcriptomics to study sex differences during murine E. coli pyelonephritis

GSE296327 Mus musculus (mouse) Single-nucleus RNA-seq 18 samples Submitted 2026/02/18 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 18 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
18 samples: 6 conditions, mostly in triplicateGroups 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
Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritisResearch square · 2025
Summary (written by the submitters)
This project employs models of urinary tract infection (UTI) in female, androgen-exposed female, and male mice to determine molecular mechanisms by which host androgen exposure promotes Escherichia coli pyelonephritis as well as renal scarring, a common sequela of upper-tract UTI. Our prior findings indicated that the influence of sex, including androgen exposure, on these common bacterial infections is more complex than previously appreciated.
Read the full summary ↓
Specifically, male sex was associated with increased risk for chronic cystitis and high-titer pyelonephritis, as well as formation of renal abscesses. These snRNA-seq experiments were designed to interrogate the fundamental sex differences impacting the host-pathogen interaction and cellular responses in E. coli pyelonephritis, thereby influencing pathogenicity and outcome of infection.
Published in
Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritis
Hunstad D, Hreha T, Manson A et al. · Research square 2025 · PMID 41282075 · doi:10.21203/rs.3.rs-6976359/v1
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 GSE296327_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1182331 and SRA study SRP543644. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Androgen-exposed female mice, inoculated with… ×3 Androgen-exposed female mice, inoculated with… ×3 Female mice, inoculated with PBS (control), b… ×3 Male mice, inoculated with PBS (control), biol ×3 Female mice, inoculated with UTI, biol ×3 Male mice, inoculated with UTI, biol ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
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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.