← BioTransfer GEO Dataset Finder
GEO series

Functional callus organoids reveal distinct cartilage to bone transition mechanisms across donors and a role for biological sex

GSE271551 Homo sapiens Expression profiling by high throughput sequencing 15 samples 2025/03/13 GPL20301
Summary
Engineering a cartilage tissue intermediate in vitro that closely mimics the characteristics of the native fracture callus in vivo, ensures a high potency to undergo cartilage-to-bone transition when implanted in vivo. However, there is a lack of critical quality attributes that can be defined in vitro to predict in vivo functionality across donors, which is a significant limitation for the development of autologous tissue engineered implants according to Quality by Design (QbD) principles. In addition, for clinical translation, regulatory bodies require in-process biological data acquisition, preferably noninvasive, to enable closed system manufacturing. In this study, we produced cartilaginous callus organoids of 10 human donors, both male and female, assembled scaffold-free donor-specific cartilaginous implants. We found two distinct organoid morphologies and transcriptome signatures, with 6 donors (5 male, 1 female) generating hypertrophic cartilage and 4 female donors producing organoids with a fibrocartilage phenotype. This distinction was already detectable early in the differentiation process with differences in proliferation and organoid morphology, leading to differential regulation of gene panels specific for reported periosteal progenitor populations. Further, we compared the secretome of bone-forming and non-bone-forming organoids, identifying a robust panel of 83 proteins that could be measured noninvasively as potency monitoring biomarkers. These findings provide new insights in donor variability and outlines a quality-driven pathway for the translation of organoid-based tissue engineered implants. The addition of noninvasive quality metrics paves the way towards data-driven closed-system manufacturing of patient-specific living implants.
Download
NCBI GEO page ↗ Paper (PMID 40140357) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human 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.