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TLR7 - ITGAM: A NOVEL INNATE IMMUNE PATHWAY IN CARDIAC ISCHEMIC INJURY [snRNA-Seq]

GSE316860 Mus musculus (mouse) Single-nucleus RNA-seq 9 samples Submitted 2026/07/29 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 9 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
9 samples: 3 × Cardiac nuclei, Sham surgery, NS treatment, vs 3 × Cardiac nuclei, I/R surgery, NS treatment, vs 3 × Cardiac nuclei, I/R surgery, Enpatoran treatment,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.
Paper
TLR7 Inhibition Limits Ischemic Cardiac Injury by Disrupting ITGAM-Dependent Immune-Endothelial InteractionsJACC. Basic to translational science · 2026
Summary (written by the submitters)
We utilized single-nucleus RNA sequencing (sn-RNAseq) with the 10X Genomics platform to investigate the mechanisms underlying cardiac ischemia/reperfusion (I/R) injury. Cardiovascular disease (CVD), particularly ischemic myocardial infarction (MI), remains the leading cause of death in the U.S. Although percutaneous coronary intervention (PCI) reduces infarct size and preserves cardiac function, reperfusion itself induces I/R injury, exacerbating myocardial damage.
Read the full summary ↓
Our prior studies demonstrate that I/R injury triggers the release of cellular RNA, and attenuating extracellular RNA (exRNA) reduces myocardial inflammation, conferring cardioprotection against I/R injury. This study elucidates the role of TLR7, an exRNA sensor, and its downstream signaling pathways in myocardial I/R injury, offering new insights into potential therapeutic strategies for cardiac I/R treatment.
Published in
TLR7 Inhibition Limits Ischemic Cardiac Injury by Disrupting ITGAM-Dependent Immune-Endothelial Interactions
Li Y, Yang Y, Park C et al. · JACC. Basic to translational science 2026 · PMID 42447539 · doi:10.1016/j.jacbts.2026.101626
This dataset
Open GSE316860 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 GSE316860_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 PRJNA1405375 and SRA study SRP664619. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42447539) ↗
Study design
3 × Cardiac nuclei, Sham surgery, NS treatment, vs 3 × Cardiac nuclei, I/R surgery, NS treatment, vs 3 × Cardiac nuclei, I/R surgery, Enpatoran treatment,

Supports a between-group comparison across 9 samples.

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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