Multi-Omics Analysis of Osteoarthritis Synovial Tissue from GEO Databases

Jinquan Bao published an integrative multi-omics analysis of osteoarthritis synovial tissue on figshare in May 2026. The dataset likely contains results from RNA-seq data analysis, including the identification of 517 OA-associated genes and 24 PCD/ECM-related genes, with MSR1 highlighted as a key candidate. The file is 10.8 KB and is licensed under CC-BY-4.0.

Use Cases

• Validate MSR1 as a biomarker for osteoarthritis based on its differential expression between OA and healthy samples.
• Investigate the relationship between programmed cell death, extracellular matrix, and immune modulation in OA using the identified gene set.
• Perform molecular docking studies for drug repurposing based on the identified high-affinity binding compound hesperidin.

Strengths

• The analysis is based on RNA-seq data from a public repository (GEO), suggesting a foundation in established experimental data.
• The study employed multiple analytical methods, including WGCNA, differential expression, and PPI network analysis, which suggests a multi-faceted approach.
• Results were validated across training and validation sets, with MSR1 showing 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 very small at 10.8 KB, indicating limited scope.

Provenance

Source

RNA-seq data from GEO databases.

Collection Method

Analysis via WGCNA, differential expression, cross analysis, and PPI network.

Freshness

Last updated 2026-05-21 04:35:53; freshness should be verified.