Osteoarthritis Immune Modulation Study: Biomarker Identification and PTPRC Role

A research article analyzing gene expression data from the GEO database to explore immune modulation in osteoarthritis. The study identified 1,171 upregulated differentially expressed genes and three hub genes—PTPRC, CX3CR1, and ITGB2—using bioinformatics methods. The work was authored by Zhengyao Zhang and last updated in April 2026.

Use Cases

• Identifying potential biomarkers for osteoarthritis diagnosis based on the three identified hub genes.
• Studying immune cell infiltration patterns in osteoarthritis using the described analysis methods.
• Validating gene targets for therapeutic intervention via the in vitro and Mendelian randomization approaches mentioned.
• Exploring protein-protein interaction networks related to osteoarthritis pathogenesis.

Strengths

• Identifies 1,171 upregulated differentially expressed genes, providing a substantial starting point for analysis.
• Employs multiple validation methods, including Mendelian randomization and in vitro experiments, for the hub gene PTPRC.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.

Limitations

• The primary data file is a 5.0 MB DOCX document, which is a text format not directly machine-readable as structured data.
• Row count and column-level documentation are unknown, limiting suitability assessment for computational analysis.
• Description metadata is limited; actual data quality and gene expression values require manual inspection after download.

Provenance

Source

figshare

Collection Method

Gene expression data analyzed from the GEO database using bioinformatics pipelines including LIMMA, WGCNA, and machine learning models.

Time Range

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Freshness

Last updated 2026-04-13 04:35:36; freshness should be verified.

Geography

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