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Updated: Aug 8, 2026

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Methods to Enable Spatial Transcriptomics of Bone Tissues
Published on: May 3, 2024
Multiomics Integration Reveals Coexpression Regulatory Networks in Osteoporosis and Osteosarcoma
Dongming Fu1, Ran Li2, Bo Wang2
1Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, China.
International Journal of Genomics
|August 7, 2026
Summary
This study compared osteoporosis and osteosarcoma transcriptomes, identifying key genes like SP7 and RUNX2. Findings offer a framework for bone disease biomarker discovery but require cautious interpretation.
Area of Science:
- Bone Biology
- Genomics
- Oncology
Background:
- Osteoporosis and osteosarcoma present significant global health challenges.
- Systematic transcriptomic comparisons between these bone diseases are lacking.
Purpose of the Study:
- To comprehensively compare the transcriptomic landscapes of osteoporosis and osteosarcoma.
- To identify potential biomarkers and understand shared molecular mechanisms.
Main Methods:
- Integrated multiomics approaches including bulk and single-cell RNA sequencing.
- Coexpression network analysis, immune deconvolution, and diagnostic classifier construction.
- In vitro validation using qRT-PCR on osteoblast and osteoclast precursor cells.
Main Results:
- Identified 604 differentially expressed probe sets between conditions after correction.
- Discovered eight coexpression modules, with six hub genes (SP7, RUNX2, BMP2, WNT5A, DKK1, SOST) validated in vitro.
- Developed a diagnostic classifier with a moderate AUC of 0.693, showing limited discriminative capacity in some partitions.
- Resolved eight distinct cell clusters within osteosarcoma using scRNA-seq.
Conclusions:
- This study provides a comprehensive transcriptomic comparison of osteoporosis and osteosarcoma.
- Identified BMD-associated coexpression modules and validated hub genes, establishing a framework for biomarker discovery.
- Findings suggest potential shared pathways but warrant cautious interpretation due to limitations.
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