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Functional interaction of Epidermal growth factor and Angiotensin II in female human primary vascular smooth muscle cells

GSE292207 Homo sapiens (human) RNA-seq (gene expression) 44 samples Submitted 2026/03/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 44 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
44 samples: 12 conditions, mostly with about 5 replicates eachGroups 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
Angiotensin II prevents the metabolic but not the transdifferentiating effect of EGF on vascular smooth muscle cells from human female donorsiScience · 2026
Summary (written by the submitters)
RNAsequencing was performed for human primary aortic (HAoSMC) and cornary artery (HCASMC) smooth muscle cells from female donors after incubation with Epidermal Growth Factor and/or Angiotensin II, in order to investigate the functional interaction of these two pathways
Published in
Angiotensin II prevents the metabolic but not the transdifferentiating effect of EGF on vascular smooth muscle cells from human female donors
Dubourg V, Akhtar N, Kopf M et al. · iScience 2026 · PMID 42291242 · doi:10.1016/j.isci.2026.115886
This dataset
Open GSE292207 in finder → Find more human 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 GSE292207_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1237390 and SRA study SRP571063. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42291242) ↗
Study design
12 conditions, mostly with about 5 replicates each
Donor CS1F, HCASMC, control condition, sample… ×5 Donor CS1F, HCASMC, 10 µg/L EGF, sample group ×5 Donor CS1F, HCASMC, 10nM AngII, sample group ×5 Donor CS1F, HCASMC, 10 µg/L EGF + 10nM AngII,… ×5 Donor AS1F, HAoSMC, control condition, sample… ×4 Donor AS1F, HAoSMC, 10 µg/L EGF, sample group ×4 Donor AS1F, HAoSMC, 10nM AngII, sample group ×4 Donor AS1F, HAoSMC, 10 µg/L EGF + 10nM AngII,… ×4 +4 more

Supports a between-group comparison across 44 samples.

How we read this: 12 replicated groups read from 44 sample titles; they account for 44 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

+ 4 more — browse all 44 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.