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Endothelial PIEZO1 activation impairs osteogenesis via GREM1-mediated inhibition of BMP signaling [hBMEC_RNA-seq]

GSE300883 Homo sapiens (human) RNA-seq (gene expression) 8 samples Submitted 2026/06/26 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 8 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
8 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.
Summary (written by the submitters)
The mechanosensitive ion channel PIEZO1 has emerged as a key regulator of vascular and skeletal biology. Here, we show that systemic activation of PIEZO1 using the chemical agonist Yoda1 in 3-week-old mice disrupts bone homeostasis by impairing type H endothelial cells and inhibiting osteogenic differentiation. In vivo, Yoda1 treatment significantly reduced the abundance of CD31hiEMCNhi type H vessels and altered trabecular bone microarchitecture without affecting total bone mass.
Read the full summary ↓
In vitro, Yoda1 inhibited osteogenic gene expression and alkaline phosphatase activity in MC3T3-E1 preosteoblasts. Transcriptomic analysis of Yoda1-treated human bone microvascular endothelial cells (hBMECs) revealed a shift from an angiogenic H-type to a quiescent L-type, accompanied by upregulation of BMP signaling antagonists, particularly GREM1. Functional assays confirmed that GREM1 secreted from Yoda1-stimulated endothelial cells suppresses BMP4-induced osteoblast differentiation via paracrine signaling. Together, these findings uncover a novel endothelial-to-osteoblast regulatory axis mediated by PIEZO1-GREM1-BMP4 signaling, and underscore the context-dependent effects of PIEZO1 activation on bone regeneration.
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 GSE300883_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 PRJNA1282591 and SRA study SRP594848. Searching any of these in the dataset finder brings you back here.

Samples in this study

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