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Pulsatile stretch stimulates endothelial PDGFB secretion to maintain arterial vascular smooth muscle

GSE298790 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2025/07/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 33 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
33 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
Pulsatile flow dynamics determine pulmonary arterial architecturebioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
The endothelial cells (ECs) that line blood vessels are remarkably sensitive to mechanical force. Hemodynamic force impacts ECs in three dimensions: laminar shear stress, intraluminal pressure, and circumferential stretch. The magnitude of these forces in arteries is pulsatile in nature—a quality that is lost in veins. The role of pulsatility in shaping these vessels is not well understood.
Read the full summary ↓
Here we examine loss of pulmonary arterial pulsatility following the Glenn surgery (surgical palliation of single ventricle congenital heart disease). Using cultured pulmonary arterial ECs, we define the transcriptional changes driven by pulsatility within each dimension. We identify pulsatile stretch as a critical stimulus for endothelial secretion of PDGFB—a known driver of vascular smooth muscle cell (VSMC) proliferation—and show that loss of arterial pulsatility in vivo leads to thinning of VSMCs. This work provides a mechanistic understanding of how arterial pulsatility maintains the structure that supports arterial hemodynamic force.
Published in
Pulsatile flow dynamics determine pulmonary arterial architecture
Spurgin S, Thai L, Wan T et al. · bioRxiv : the preprint server for biology 2025 · PMID 40631293 · doi:10.1101/2025.06.30.662470
This dataset
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.

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 GSE298790_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1271112 and SRA study SRP589333. Searching any of these in the dataset finder brings you back here.

Samples in this study

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