← BioTransfer GEO Dataset Finder
GEO series

ANTXR1/TEM8 Blockade Prevents Heart Failure through Suppression of TGF-β Signaling

GSE266597 Mus musculus (mouse) Single-cell RNA-seq 23 samples Submitted 2025/08/21 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 23 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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
23 samples: 23 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.
Paper
ANTXR1 blockade enhances cardiac function in preclinical models of heart failureNature cardiovascular research · 2025
Summary (written by the submitters)
Heart disease, a leading cause of mortality worldwide, is in urgent need of improved therapies. Here, ANTXR1/TEM8, a transmembrane protein required for collagen uptake, was found to promote heart failure. In preclinical intervention studies, genetic disruption of Antxr1 prevented heart deterioration following acute myocardial infarction, a phenotype that was mirrored by treatment with ANTXR1 neutralizing antibodies.
Read the full summary ↓
ANTXR1 pharmacologic blockade also improved heart function in models of pressure overload and obesity-induced heart disease with preserved ejection fraction. Exploratory studies to further unravel the mechanism, including single cell transcriptomics, revealed a striking ANTXR1-antibody driven improvement in post-infarct scar formation followed by attenuation of late-stage, chronic TGFβ-mediated extracellular matrix remodeling. Thus, ANTXR1 function during heart failure is both maladaptive and druggable, providing promising new avenues for therapeutic intervention.
Published in
ANTXR1 blockade enhances cardiac function in preclinical models of heart failure
Boccella N, Yu G, Seaman S et al. · Nature cardiovascular research 2025 · PMID 41039173 · doi:10.1038/s44161-025-00725-y
This dataset
Open GSE266597 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 GSE266597_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 PRJNA1107810 and SRA study SRP505705. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41039173) ↗
Study design
23 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 23 sample titles: 23 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
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.