← BioTransfer GEO Dataset Finder
GEO series

Transcriptome mapping of bone fracture identifies Notch signaling as an important regulator of skeletal repair

GSE260749 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/03/01 Platform GPL24247
Summary
We present a transcriptomic analysis that provides a better understanding of regulatory mechanisms within the healthy and injured periosteum leading to novel translational approaches for bone healing. The focus of this work is on the early regulatory control of bone healing by completing a transcriptomic analysis of forming periosteal callus cells on day 3 post fracture. Based on our previous work indicating that induced Notch1 signaling in osteoprogenitors leads to better healing, we contrasted samples in which Notch 1 intracellular domain (NICD1) is overexpressed by periosteal stem/progenitor cells with control unperturbed periosteum. We determined molecular mechanisms and changes in skeletal stem/progenitor cells (SSPC) and other cell populations within callus including hematopoietic lineages. Notch ligands were differentially expressed in endothelial and mesenchymal populations, with Dll4 restricted to endothelial cells while Jag1 expressed by various mesenchymal populations. When targeting deletion of Dll4 in SSPCs using a-smooth muscle actin (aSMACreER) in mesenchymal cells there was no phenotype, while deletion in EC using Cdh5CreER exhibited negative effects on the early fracture healing. Translation of these observations into clinically relevant model of bone healing revealed the positive effects of combination of Notch ligands delivery with currently used osteogenic inducer BMP2.
Published in
Endothelial to mesenchymal Notch signaling regulates skeletal repair
Novak S, Tanigawa H, Singh V et al. · JCI insight 2024 · PMID 38781018 · doi:10.1172/jci.insight.181073
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE260749_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1083220 and SRA study SRP493051. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

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.