Table 3_Integrative multi-omics identifies MSR1 as a programmed cell death and extracellul

A multi-omics analysis dataset from a study identifying MSR1 as a key programmed cell death and extracellular matrix-related gene in osteoarthritis pathogenesis. The dataset, 57.4 KB in size, was authored by Jinquan Bao and last updated on 2026-05-21. It results from RNA-seq analysis of OA synovial tissue from GEO databases, cross-analysis, and protein-protein interaction network studies.

Use Cases

• Validate MSR1 as a biomarker for osteoarthritis based on its differential expression and AUC value greater than 0.7 mentioned in the results.
• Investigate the correlation between MSR1 expression and immune cell populations in the OA microenvironment as suggested by the analysis.
• Explore hesperidin as a potential therapeutic compound based on molecular docking results indicating high-affinity binding to MSR1.
• Study the role of programmed cell death and extracellular matrix genes in joint degeneration using the identified set of 24 OA-associated genes.

Strengths

• Analysis is based on RNA-seq data from the GEO databases, a public repository.
• Identifies a specific candidate gene, MSR1, with validation showing an AUC value greater than 0.7.
• Integrates multiple analytical methods including WGCNA, differential expression, and PPI network analysis.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 57.4 KB, indicating limited scope, likely containing summary results rather than raw data.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

figshare, author Jinquan Bao.

Collection Method

Integrative multi-omics analysis of RNA-seq data from GEO databases, using WGCNA, differential expression, cross-analysis, and PPI networks.

Freshness

Last updated 2026-05-21 04:35:59; freshness should be verified.