Integrative Multi-Omics Analysis of Osteoarthritis Synovial Tissue

517 genes associated with osteoarthritis were identified from RNA-seq data of synovial tissue sourced from GEO databases. The study, authored by Jinquan Bao and published on figshare, identifies MSR1 as a key programmed cell death and extracellular matrix hub gene. Molecular docking suggests hesperidin as a potential therapeutic agent targeting MSR1.

Use Cases

• Identifying hub genes in osteoarthritis pathogenesis based on weighted gene co-expression network analysis (WGCNA) and protein-protein interaction networks.
• Validating gene expression differences between OA and healthy samples based on differential expression analysis across training and validation sets.
• Predicting transcription factor binding and regulatory networks based on analyses using JASPAR, FIMO, miRDB, TargetScan, and miRWalk databases.
• Assessing potential drug candidates for osteoarthritis based on molecular docking results identifying hesperidin as a high-affinity MSR1-binding compound.
• Investigating immune modulation in OA based on correlations between MSR1 expression and immune population/microenvironment scores.

Strengths

• The analysis is based on a multi-omics approach integrating RNA-seq data, differential expression, and network analysis.
• MSR1 was validated with an AUC value greater than 0.7 in distinguishing OA from healthy samples.
• The dataset is openly shared under a CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 114.5 KB PDF, which likely contains summarized results rather than raw data tables.

Provenance

Source

RNA-seq data from GEO databases, analyzed by Jinquan Bao.

Collection Method

Integrative analysis using WGCNA, differential expression, cross-analysis, PPI networks, and in vitro cell models.

Freshness

Last updated 2026-05-21 04:35:56; freshness should be verified.