Gene Expression Patterns Modulated by TB Exosomal miRNAs in Lung Cancer

A 2026 study by Goeun Park identified 5 differentially expressed miRNAs and 54 differentially expressed genes from an analysis of tuberculous pleural effusion-derived exosomes and lung cancer xenografts. The dataset, shared on figshare, includes results from pathway enrichment and network analysis linking these molecules to processes like oxidative phosphorylation and ribosome biogenesis. It is a small, focused dataset of 10.6 KB, providing a preliminary regulatory framework for TB-associated lung cancer.

Use Cases

• Constructing miRNA-mRNA regulatory networks based on the identified 5 DEMs and 54 DEGs.
• Pathway enrichment analysis focusing on oxidative phosphorylation and ribosome biogenesis processes mentioned in the results.
• Validating in silico findings with experimental assays for genes like NDUFA4, RPS27, and COX7A2.
• Exploring potential biomarkers for TB-associated lung cancer from the exosomal miRNA and gene expression data.

Strengths

• Includes specific counts of identified biological entities: 5 differentially expressed miRNAs (DEMs) and 54 differentially expressed genes (DEGs).
• Results are validated by in vitro assays for three cancer-related genes (NDUFA4, RPS27, COX7A2).
• Data is openly shared under a CC-BY-4.0 license, permitting reuse with attribution.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download to understand the data structure.
• The dataset is very small (10.6 KB), indicating a limited scope focused on a specific analysis.
• Description metadata is limited; the actual data quality and completeness require verification.

Provenance

Source

figshare, author Goeun Park.

Collection Method

Data derived from isolating exosomes from tuberculous pleural effusions, injecting them into lung cancer xenograft mice, and performing differential expression and network analysis.

Freshness

Last updated 2026-05-28 22:03:24.