Osteoarthritis Multi-Omics Analysis Identifying MSR1 Gene

RNA-seq data from the GEO databases was analyzed to identify genes associated with osteoarthritis pathogenesis. The dataset, created by Jinquan Bao and last updated in May 2026, includes results from weighted gene co-expression network analysis, differential expression analysis, and protein-protein interaction networks. It identifies 517 OA-associated genes and highlights MSR1 as a key candidate.

Use Cases

• Identifying key programmed cell death and extracellular matrix-related genes in osteoarthritis based on multi-omics analysis
• Validating gene expression differences between OA and healthy samples based on RNA-seq data
• Predicting transcription factor binding and regulatory networks based on database analyses
• Investigating potential therapeutic compounds based on molecular docking results for MSR1

Strengths

• Analysis is based on RNA-seq data from the GEO databases, a public repository.
• The study employed multiple analytical methods including WGCNA, differential expression, and PPI network analysis.
• MSR1 was validated in both training and validation sets with an AUC value greater than 0.7.

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 45.0 KB, indicating a very limited scope of summarized results.

Provenance

Source

figshare

Collection Method

Integrative analysis of public RNA-seq data from GEO databases using bioinformatics tools.

Freshness

Last updated 2026-05-21 04:35:57