Data Sheet 1_Development and experimental validation of an osteoporosis diagnosis model ba

Gene Expression Omnibus (GEO) microarray datasets underpin this osteoporosis research. The dataset contains results from an integrative bioinformatics analysis identifying 299 disulfidoptosis-related differentially expressed genes and a diagnostic model built using three hub genes. Authored by Ping Yang and last updated on 2026-05-28, the work includes experimental validation in an osteoclast model.

Use Cases

• Building osteoporosis diagnostic models based on the three identified hub genes (SOAT2, FOLR3, TUBA8).
• Analyzing immune infiltration patterns in osteoporosis using CIBERSORT-derived cell type fractions.
• Investigating post-transcriptional regulation in osteoclasts based on the discordant mRNA and protein expression of TUBA8.
• Clustering osteoporosis patients into subtypes based on consensus clustering of molecular and immune characteristics.

Strengths

• The diagnostic model was validated externally and achieved an AUC greater than 0.9.
• Experimental validation was conducted using qPCR and Western blot in a RANKL-induced osteoclast model.
• Analysis identified 299 disulfidoptosis-related differentially expressed genes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific GEO datasets used.

Provenance

Source

Gene Expression Omnibus (GEO).

Collection Method

Integrative bioinformatics analysis of microarray datasets.

Freshness

Last updated 2026-05-28 06:21:59; freshness should be verified.