Common Immune Mechanisms and Hub Genes in Latent and Active Tuberculosis Infection

A bioinformatics study exploring shared hub genes between latent and active tuberculosis infection. The dataset contains results from differential expression analysis, PPI network construction, and LASSO regression, identifying four hub genes. It was authored by Xingzhen Yang and last updated on 2026-05-20.

Use Cases

• Identifying potential diagnostic biomarkers for tuberculosis 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.
• Building risk prediction models for tuberculosis infection based on the described nomogram methodology.
• Investigating the role of specific immune cells like Gamma delta T cells and Type 17 T helper cells in tuberculosis response.

Strengths

• Identifies 180 common differentially expressed genes shared by latent and active tuberculosis.
• Results include four specific hub genes (C1QB, MSR1, OLIG3, TGFB1I1) validated by LASSO regression.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 30.4 KB, indicating limited scope.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Xingzhen Yang.

Collection Method

Bioinformatics analysis of gene expression data, including differential expression, PPI network construction, and LASSO regression.

Freshness

Last updated 2026-05-20 10:42:45; freshness should be verified.