Hub Gene Expression Data for Osteoporosis and Chronic Kidney Disease Analysis

Four hub genes (FAM184A, NFKBIA, RP2, HIRA) were identified through bioinformatics analysis of GEO datasets GSE15072 and GSE56815. The dataset includes results from differential expression analysis, immune infiltration, and pan-cancer studies, validated via RT-qPCR in mouse models. Hao Tang published this 45.2 KB dataset under a CC-BY-4.0 license on figshare, last updated in May 2026.

Use Cases

• Validate diagnostic biomarkers for osteoporosis and chronic kidney disease based on identified hub genes.
• Analyze immune cell infiltration patterns based on the described CIBERSORT results.
• Explore pan-cancer prognosis associations based on FAM184A expression levels mentioned in the results.
• Identify potential therapeutic agents using the Drug Signatures Database (DSigDB) methodology described.

Strengths

• Includes experimental validation via RT-qPCR in established mouse models (CKD and OVX).
• Hub genes were evaluated for diagnostic efficacy using ROC curves.
• Analysis incorporates multiple GEO datasets (GSE15072, GSE56815, GSE7158, GSE70528) for training and validation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 45.2 KB, indicating limited scope.

Provenance

Source

Gene Expression Omnibus (GEO) datasets GSE15072, GSE56815, GSE7158, GSE70528.

Collection Method

Bioinformatics analysis using limma, WGCNA, clusterProfiler, and machine learning techniques, followed by experimental validation in mice.

Time Range

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Freshness

Last updated 2026-05-04 17:35:38; freshness should be verified.

Geography

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