Oral Epithelium Transcriptomic Dysregulation from Vaping and Smoking

RNA-sequencing data from oral epithelial cells of electronic cigarette users, cigarette smokers, and non-users. The dataset was created by Jessica George and last updated on June 1, 2026. It includes differential gene expression analysis and functional enrichment results related to cancer and signaling pathways.

Use Cases

• Compare differential gene expression patterns between vaping and smoking based on the described analysis.
• Investigate dose-response relationships using metrics like cumulative e-liquid and plasma cotinine mentioned in the description.
• Analyze the influence of product characteristics like device generation and flavor type on gene expression variability.
• Study pathway enrichment for specific biological processes like RHO GTPase Cycle disruption.

Strengths

• Includes data from three distinct exposure groups: vapers, smokers, and non-users.
• Analysis incorporates multiple dose metrics such as cumulative e-liquid, years vaped, and pack-years.
• Functional enrichment results for specific pathways like RHO GTPase Cycle are provided.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

RNA-sequencing of oral epithelial cells, with differential expression analysis using covariate-adjusted limma-voom modeling.

Freshness

Last updated 2026-06-01 05:26:43; freshness should be verified.