A 16.4 MB gene expression matrix from the GSE56815 dataset, shared on figshare under a CC-BY-4.0 license by Hao Tang and last updated on 2026-05 04. The data was used in a bioinformatics study to identify hub genes linking osteoporosis and chronic kidney disease, with validation performed in mouse models.
Use Cases
- Identifying differential gene expression patterns associated with osteoporosis and chronic kidney disease based on the described bioinformatics pipeline.
- Training machine learning models for disease diagnosis based on the identified hub genes (FAM184A, NFKBIA, RP2, HIRA).
- Analyzing relationships between gene expression and immune cell infiltration based on the study's CIBERSORT analysis.
- Exploring pan-cancer associations of identified hub genes, such as FAM184A, for prognostic insights.
Strengths
- Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.
- The 16.4 MB file size indicates a manageable download for analysis.
- The study describes a multi-stage validation process using independent datasets (GSE7158, GSE70528) and mouse models.
Limitations
- Row count and column-level documentation are unknown, which limits suitability assessment.
- Description metadata is limited; actual data quality and structure require manual inspection after download.
Provenance
- Source
- Gene Expression Omnibus (GEO) database, specifically the GSE56815 series.
- Collection Method
- Downloaded from GEO and processed using bioinformatics tools (limma, WGCNA) as described in the study.
- Time Range
- null
- Freshness
- Last updated 2026-05-04 17:35:36; freshness should be verified.
- Geography
- null