Shared Hub Genes and Immune Mechanisms in Latent and Active Tuberculosis

180 common genes were identified between latent and active tuberculosis infection. Four hub genes—C1QB, MSR1, OLIG3, and TGFB1I1—were used to build a clinical risk prediction model. The dataset, authored by Xingzhen Yang and last updated in May 2026, is a 19.9 KB document from figshare.

Use Cases

• Training biomarker classifiers based on the four identified hub genes (C1QB, MSR1, OLIG3, TGFB1I1).
• Analyzing shared immune activation pathways between latent and active TB using Gene Set Variation Analysis (GSVA) results.
• Evaluating clinical prediction models for tuberculosis infection using the described nomogram and ROC curve analysis.
• Investigating the role of Gamma delta T cells and Type 17 T helper cells in tuberculosis immune response.

Strengths

• Identifies 180 common differentially expressed genes shared by latent and active tuberculosis.
• Focuses on four specific hub genes validated through PPI network and LASSO regression analysis.
• Includes results from multiple analytical methods: GSVA, immune characteristics evaluation, and decision curve analysis.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (19.9 KB), indicating limited raw data scope, likely containing summary results.
• Description metadata is limited; actual data quality and completeness require manual inspection after download.

Provenance

Source

figshare

Collection Method

Common differentially expressed genes were obtained, followed by PPI network construction and LASSO regression analysis.

Freshness

Last updated 2026-05-20 10:42:44; freshness should be verified.