Shared Hub Genes and Immune Mechanisms in Latent and Active Tuberculosis

180 common genes were identified between latent and active tuberculosis infection. The dataset contains results from a bioinformatics study that identified four hub genes—C1QB, MSR1, OLIG3, and TGFB1I1—using PPI network and LASSO regression analysis. Author Xingzhen Yang published this research data on figshare under a CC-BY-4.0 license, last updated in May 2026.

Use Cases

• Validating tuberculosis biomarker candidates based on the identified hub genes C1QB, MSR1, OLIG3, and TGFB1I1.
• Analyzing shared immune activation patterns between latent and active TB using the results of Gene Set Variation Analysis (GSVA).
• Building predictive models for tuberculosis infection risk based on the described nomogram and ROC curve analysis.
• Investigating the role of Gamma delta T cells and Type 17 T helper cells in the tuberculosis immune response as suggested by the study.

Strengths

• Identifies 180 common differentially expressed genes shared by latent and active tuberculosis.
• Specifies four hub genes (C1QB, MSR1, OLIG3, TGFB1I1) validated through PPI network and LASSO regression analysis.
• Includes results from multiple analytical methods: nomogram risk prediction, ROC curve analysis, decision curve analysis, and GSVA.

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 small (47.4 KB), indicating limited scope, likely containing summary results rather than raw expression data.

Provenance

Source

figshare

Collection Method

Bioinformatics analysis of gene expression data; common differentially expressed genes were obtained, followed by PPI network construction and LASSO regression.

Freshness

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