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Prussian blue nanoparticles targeting multiple PANoptosome-mediated PANoptosis for myocardial ischemia-reperfusion injury therapy

GSE298751 Mus musculus (mouse) Single-nucleus RNA-seq 15 samples Submitted 2026/02/10 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 15 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
15 samples: 5 × control vs 5 × MIRI vs 5 × PB@PMGroups 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
Prussian blue nanoparticles targeting multiple PANoptosome-mediated PANoptosis for myocardial ischemia-reperfusion injury therapyNature communications · 2026
Summary (written by the submitters)
The extensive crosstalk between pyroptosis, apoptosis, and necroptosis suggests that inhibiting one of them can lead to compensating for the other, thereby reducing therapeutic efficacy. Here, we identify Prussian blue (PB) nanoparticle as an effective PANoptosis inhibitor that binds to key proteins (RIPK1, ZBP1, and AIM2) to regulate multiple PANoptosomes, thereby comprehensively inhibiting pyroptosis, apoptosis, and necroptosis and blocking their crosstalk in myocardial ischemia-reperfusion injury (MIRI) therapy.
Read the full summary ↓
This PANoptosis inhibitor significantly alleviated MIRI-induced cardiac functional impairment and adverse ventricular remodeling, promoted extracellular matrix repair and neovascularization, and prevented cardiomyocyte hypertrophy. Furthermore, it modulated mitochondrial metabolism and immune-inflammatory homeostasis, helping to block the crosstalk within PANoptosis. Specifically, single-nuclear transcriptome sequencing of human heart samples, molecular dynamics simulations, transcriptome sequencing analysis, medical imaging technology, and molecular biological methods comprehensively elucidated the role of PB as a PANoptosis inhibitor in MIRI therapy. This study provides a reference paradigm for exploring the role of PANoptosis in other diseases and a framework for studying nanobiological interactions to uncover broader nanomaterial mechanisms.
Published in
Prussian blue nanoparticles targeting multiple PANoptosome-mediated PANoptosis for myocardial ischemia-reperfusion injury therapy
Xu L, Jiang L, Wu R et al. · Nature communications 2026 · PMID 41760607 · doi:10.1038/s41467-026-70012-2
This dataset
Open GSE298751 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 GSE298751_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: 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 PRJNA1271055 and SRA study SRP589356. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41760607) ↗
Study design
5 × control vs 5 × MIRI vs 5 × PB@PM

Supports a between-group comparison across 15 samples.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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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