Multi-Scale Osteoporotic Bone Data with Raman Spectroscopy and Transcriptomics

A dataset integrating Raman-derived compositional data with micro-CT, nanoindentation, and single-cell RNA sequencing from murine models of osteoporosis. The data was created by Jinyang Wang and last updated on 2026-05-28. It includes results from models of natural aging and ovariectomy-induced bone loss.

Use Cases

• Train classifiers for automated phenotyping of bone health based on Raman spectral features.
• Investigate correlations between bone composition, microarchitecture, and local mechanical properties.
• Analyze shifts in bone marrow mesenchymal stem cell transcriptomic programs related to mineral and lipid metabolism.
• Validate Raman-derived compositional fingerprints as biomarkers for osteoporosis across different disease models.

Strengths

• Integrates four distinct data modalities: Raman spectroscopy, micro-CT, nanoindentation, and scRNA-seq.
• Data is derived from two established murine models of osteoporosis: natural aging and OVX.
• The dataset is licensed under CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is relatively small at 7.6 MB, suggesting it may be a summary or processed results rather than raw data.

Provenance

Source

figshare

Collection Method

Data was gathered from murine models using Raman spectroscopy, micro-CT, nanoindentation, and single-cell RNA sequencing.

Freshness

Last updated 2026-05-28 04:51:06; freshness should be verified.