← BioTransfer GEO Dataset Finder
GEO series

Targeting osteoblastic Mig6-EGFR signaling ameliorates osteoarthritis progression via inhibiting aberrant subchondral bone remodeling

GSE302025 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/07/31 Platform GPL28330
Summary
Aberrant subchondral bone remodeling is a critical factor in osteoarthritis (OA) pathogenesis. We observed significant downregulation of Mitogen-induced gene-6 (Mig6) and upregulation of EGFR phosphorylation in subchondral bone osteoblasts, strongly correlating with OA severity in human and animal models. Mig6 is the most important factor mediating mechanical stress-activated EGFR, which inhibits osteogenic activity and modulates mechano-responsiveness. Osteoblast-specific Mig6 deletion exacerbated OA progression by promoting subchondral bone remodeling, whereas gefitinib-mediated inhibition of EGFR phosphorylation attenuated OA symptoms in mice, rats, and Mig6 knockout rats. Furthermore, loss of osteoblastic Mig6 disrupted the subchondral bone microenvironment, increasing inflammation, angiogenesis, and neuronal activity. Mechanistically, aberrant mechanical loading downregulated Mig6, activating phosphorylation of EGFR and the downstream JAK-STAT3 pathway, thereby promoting subchondral bone remodeling and accelerating OA progression. These findings reveal a novel mechanism by which osteoblastic Mig6 regulates subchondral bone remodeling in OA, highlighting Mig6 as a potential therapeutic target.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE302025_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1288372 and SRA study SRP599134. 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.

+ 6 more — browse all 6 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.