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Endothelial transcription factor EB protects against doxorubicin-induced endothelial toxicity and cardiac dysfunction

GSE285475 Mus musculus (mouse) Single-cell RNA-seq 18 samples Submitted 2025/12/18 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 18 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
18 samples: 4 × WT_vehicle vs 4 × EC-Tfeb_Tg_vehicle vs 4 × WT_DOX vs 4 × EC-Tfeb_Tg_DOXGroups 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
Endothelial Transcription Factor EB Protects Against Doxorubicin-Induced Endothelial Toxicity and Cardiac DysfunctionCirculation · 2026
Summary (written by the submitters)
Doxorubicin (DOX) has been demonstrated to induce cardiovascular toxicity in cancer survivors. Endothelial cell dysfunction is recoginized to play a critical role in the onset and severity of cardiotoxicity associated with DOX. Endothelial TFEB protects against EC damage and cardiac dysfunction. Cardiac single cells isolated from vehicle and doxorubicin treated wild type and EC-Tfeb Tg mice were collected for scRNA-seq analysis.
Published in
Endothelial Transcription Factor EB Protects Against Doxorubicin-Induced Endothelial Toxicity and Cardiac Dysfunction
Du W, Ringer M, Desai D et al. · Circulation 2026 · PMID 41410033 · doi:10.1161/CIRCULATIONAHA.124.071774
This dataset
Open GSE285475 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 GSE285475_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 PRJNA1203896 and SRA study SRP554202. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41410033) ↗
Study design
4 × WT_vehicle vs 4 × EC-Tfeb_Tg_vehicle vs 4 × WT_DOX vs 4 × EC-Tfeb_Tg_DOX

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 18 sample titles; they account for 16 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

Search all mouse RNA-seq datasets in GEO →

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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.