Vaping and Smoking Transcriptomic Dysregulation in Oral Epithelial Cells

RNA-sequencing data from oral epithelial cells of electronic cigarette users, cigarette smokers, and non-users. The dataset, authored by Jessica George and last updated in 2026, includes differential gene expression analysis and dose-response modeling for multiple exposure metrics. It was shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identifying differentially expressed genes (DEGs) based on vaping and smoking status.
• Modeling dose-response relationships using metrics like cumulative e-liquid, e-nicotine, and plasma cotinine.
• Assessing the influence of product characteristics like device generation and flavor type on gene expression variability.
• Comparing functional pathway enrichment, such as RHO GTPase Cycle disruption, between vaping and smoking.

Strengths

• Differential expression analysis includes covariate-adjusted modeling with false discovery rate control.
• Exposure assessment incorporates multiple dose metrics for both vaping and smoking.
• Analysis includes specific product characteristics like device generation and flavor type.

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 very small at 7.3 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

RNA-sequencing of oral epithelial cells from e-cig users, cigarette smokers, and non-users.

Freshness

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