← BioTransfer GEO Dataset Finder
GEO series

Single-cell transcriptomics revealed e-cigarettes-induced vascular remodeling by enhancing Tcf21 expression

GSE288003 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2025/01/31 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
2 samples
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
Single-Cell Transcriptomics Revealed E-Cigarettes-Induced Vascular Remodeling by Enhancing Tcf21 ExpressionMedComm · 2025
Summary (written by the submitters)
Electronic cigarettes (e-cigs) are battery-powered new tobacco products attracting wide attention due to their potential in promoting smoking cessation and uncertainty in long-term health effects. According to the scientific statement from the American Heart Association (AHA), e-cig use may be a potential threat to the cardiopulmonary system and populational studies suggested that e-cig aerosol could enhance arterial stiffness Laboratory evidence suggested that e-cigs could
Read the full summary ↓
accelerate atherosclerosis and atherosclerosis or aortic aneurysm in mice, while the exact mechanisms of e-cig-related vascular effects remained largely unknown. Here, we investigate the sub-chronic effects of e-cig aerosol on vascular structure, function, and changes in single-cell transcriptome in mice.
Published in
Single-Cell Transcriptomics Revealed E-Cigarettes-Induced Vascular Remodeling by Enhancing Tcf21 Expression
Ding R, Ren X, Sun Q et al. · MedComm 2025 · PMID 40248042 · doi:10.1002/mco2.70183
This dataset
Open GSE288003 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 GSE288003_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 PRJNA1215431. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40248042) ↗
Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

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.