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Single-nucleus transcriptomic profiling of mouse hearts following angiotensin II-infused with or without bisphenol F (BPF) treatment.

GSE324668 Mus musculus (mouse) Single-nucleus RNA-seq 10 samples Submitted 2026/03/13 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 10 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).
Organism
Mus musculus (mouse)
Samples
10 samples: 10 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)
Bisphenol F (BPF) is a widely used substitute for bisphenol A (BPA) in plastic manufacturing; however, its potential toxicity remains insufficiently characterized. In this study, we investigated the impact of BPF exposure on the intestinal barrier and cardiovascular system. Based on prior untargeted metabolomic analysis, we revealed that BPF can be converted into N-acetylputrescine (NAP) through a microbiota-associated metabolic process.
Read the full summary ↓
Further experiments demonstrated that BPF exposure stimulated intestinal epithelial cells to secrete spermidine/spermine N1-acetyltransferase 1 (Sat1), an enzyme involved in this conversion. To identify the cell types and signaling pathways associated with BPF exposure under hypertensive conditions, we conducted snRNA-seq of heart tissues from angiotensin II-infused mice and angiotensin II-infused mice pretreated with BPF exposure. The raw sequencing data and processed expression matrices are provided in this submission.
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 GSE324668_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 PRJNA1435211 and SRA study SRP682656. Searching any of these in the dataset finder brings you back here.

Study design
10 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 10 sample titles: 10 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
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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.