MSR1 Gene Expression and Multi-Omics Analysis in Osteoarthritis

517 osteoarthritis-associated genes were identified through RNA-seq analysis of synovial tissue from the GEO database. The study, authored by Jinquan Bao and last updated in May 2026, identifies MSR1 as a key gene via weighted gene co-expression network analysis (WGCNA) and protein-protein interaction networks. In vitro experiments further link MSR1 to apoptosis, extracellular matrix degradation, and the NF-κB pathway.

Use Cases

• Identify key programmed cell death and extracellular matrix-related genes based on multi-omics analysis described in the study
• Validate gene expression differences between OA and healthy samples based on the reported training and validation sets
• Investigate immune modulation in OA pathogenesis based on MSR1's correlation with immune populations and microenvironment scores
• Perform molecular docking for drug discovery based on the identification of hesperidin as a high-affinity MSR1-binding compound

Strengths

• Integrates multi-omics data from RNA-seq, differential expression, and protein-protein interaction networks
• Includes validation in both training and validation sets, with MSR1 showing an AUC value greater than 0.7
• Supported by in vitro experiments establishing an IL-1β-induced OA cell model

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 and figshare platform used

Provenance

Source

RNA-seq data from GEO databases, analysis by Jinquan Bao

Collection Method

Weighted gene co-expression network analysis (WGCNA), differential expression analysis, cross analysis, and protein-protein interaction (PPI) network construction

Freshness

Last updated 2026-05-21 04:36:00; freshness should be verified