Multi-Omics Analysis of Osteoarthritis Synovial Tissue with MSR1 Gene Focus

517 genes associated with osteoarthritis were identified from RNA-seq data of synovial tissue sourced from GEO databases. The dataset, created by Jinquan Bao and last updated on 2026-05-21, highlights MSR1 as a key programmed cell death and extracellular matrix hub gene. It includes results from weighted gene co-expression network analysis, differential expression analysis, and protein-protein interaction networks.

Use Cases

• Identify key osteoarthritis-associated genes based on multi-omics analysis results.
• Validate gene expression signatures in OA versus healthy samples based on the reported training and validation sets.
• Investigate immune modulation roles in OA pathogenesis based on correlations between MSR1 expression and immune populations.
• Screen for potential therapeutic compounds based on molecular docking results identifying hesperidin as a high-affinity binder.

Strengths

• Analysis is based on RNA-seq data from a public, authoritative source (GEO databases).
• The study employed multiple analytical methods including WGCNA, differential expression, and PPI network analysis.
• Results were validated across separate training and validation sets with an AUC value greater than 0.7 reported for MSR1.

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 small in scale at 19.3 KB, indicating limited raw data or highly summarized results.

Provenance

Source

Gene Expression Omnibus (GEO) databases.

Collection Method

RNA-seq data analysis using WGCNA, differential expression analysis, cross analysis, and PPI network construction.

Freshness

Last updated 2026-05-21 04:35:52; freshness should be verified.