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Adventitial fibroblasts direct smooth muscle cell-state transition in pulmonary vascular disease

GSE262069 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/04/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 12 × SMC co-cultured with IPAHAdFb vs 4 × SMC controlGroups 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
Adventitial fibroblasts direct smooth muscle cell-state transition in pulmonary vascular diseaseeLife · 2025
Summary (written by the submitters)
Goal of the study was to evalaute gene expression changes in donor PASMC upon co-culture with IPAH PAAF (diseased pulmonary artery adventitial fibroblasts) compared to baseline (co-culture with source-matched donor PAAF).
Published in
Adventitial fibroblasts direct smooth muscle cell-state transition in pulmonary vascular disease
Crnkovic S, Thekkekara Puthenparampil H, Mulch S et al. · eLife 2025 · PMID 40208251 · doi:10.7554/eLife.98558
This dataset
Open GSE262069 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 GSE262069_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 PRJNA1090125 and SRA study SRP496741. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40208251) ↗
Study design
12 × SMC co-cultured with IPAHAdFb vs 4 × SMC control

Supports a between-group comparison across 16 samples.

How we read this: 2 replicated groups read from 16 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 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.