Analysis of Gene Expression Patterns Modulated by Tuberculous Exosomal miRNAs

A study identifying potential miRNA-mRNA regulatory pathways linking tuberculous pleural effusion to lung cancer progression. The dataset includes results from exosomal miRNA analysis of TB patient effusions and differential gene expression in lung cancer xenograft mice. The work was authored by Goeun Park and last updated on 2026-05-28.

Use Cases

• Identify miRNA-mRNA regulatory networks based on the 5 differentially expressed miRNAs (DEMs) and 54 differentially expressed genes (DEGs) mentioned in the results.
• Conduct pathway enrichment analysis based on the oxidative phosphorylation, ribosome biogenesis, and mitochondrial ATP synthesis pathways identified.
• Validate candidate cancer-related genes (e.g., NDUFA4, RPS27, COX7A2) in vitro based on the study's findings.
• Build computational models of TB-associated lung cancer progression using the potential regulatory network of 94 genes described.

Strengths

• The study design integrates both human patient-derived exosomal miRNAs and mouse xenograft models, as described in the methods.
• Specific results are quantified, including 5 DEMs, 54 DEGs, and a final regulatory network of 94 genes.
• Key findings are validated through in vitro assays for genes NDUFA4, RPS27, and COX7A2.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale (871.0 KB), indicating limited raw data volume.

Provenance

Source

Goeun Park via figshare.

Collection Method

Exosomes were isolated from tuberculous pleural effusions of patients and injected into lung cancer xenograft mice; differential expression and network analysis were performed.

Freshness

Last updated 2026-05-28 22:03:26; freshness should be verified.