Vaping and Smoking-Associated Gene Expression in Oral Epithelial Cells

RNA-sequencing data from oral epithelial cells of e-cigarette users, cigarette smokers, and non-users. The dataset includes differential gene expression analysis and dose-response modeling for vaping and smoking exposures. Jessica George authored this dataset, which was last updated on June 1, 2026.

Use Cases

• Identify differentially expressed genes based on vaping and smoking status.
• Analyze dose-response relationships using metrics like cumulative e-liquid, pack-years, and plasma cotinine.
• Compare molecular pathway disruptions, such as RHO GTPase Cycle, between vaping and smoking.
• Investigate the influence of e-cigarette device generation and flavor type on gene expression variability.

Strengths

• Includes data from three distinct exposure groups: vapers, smokers, and non-users.
• Analyzes multiple dose metrics, including cumulative e-liquid, cumulative e-nicotine, and plasma cotinine.
• Functional enrichment analysis reveals disrupted pathways, including cancer- and signaling-related ones.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or population bias inherent to the original study.

Provenance

Source

figshare

Collection Method

RNA-sequencing of oral epithelial cells from human subjects.

Freshness

Last updated 2026-06-01 05:26:44; freshness should be verified.