Multi-Omics Osteoarthritis Gene Expression Data with Hesperidin Targeting Analysis

Figshare hosts a biomedical research dataset analyzing osteoarthritis pathogenesis. The data includes results from RNA-seq analysis of OA synovial tissue from GEO databases, weighted gene co-expression network analysis, and differential expression analysis identifying 517 OA-associated genes and 24 PCD/ECM-related candidates. Author Jinquan Bao uploaded this 647.4 KB Excel file in May 2026 under a CC-BY-4.0 license.

Use Cases

• Validate the identified key gene MSR1 based on its reported higher expression in OA samples versus healthy samples.
• Investigate immune modulation in OA based on the reported positive correlation between MSR1 expression and key immune populations.
• Explore potential therapeutic compounds for OA based on the molecular docking results identifying hesperidin as a high-affinity MSR1-binding compound.
• Replicate the integrative multi-omics analysis framework described for understanding OA mechanisms.

Strengths

• The dataset is derived from a multi-omics analysis integrating RNA-seq data, WGCNA, differential expression, and PPI network methods.
• Specific results are cited, including the identification of 517 OA-associated genes and 24 PCD/ECM-related genes.
• Validation is mentioned, with MSR1 expression reported higher in OA samples in both training and validation sets, with an AUC 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 647.4 KB file size suggests a limited scope, likely containing summary analysis results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Analysis of RNA-seq data from GEO databases, using WGCNA, differential expression, cross analysis, and PPI network construction.

Freshness

Last updated 2026-05-21 04:35:54; freshness should be verified.