Oral Epithelium RNA-Seq Data from Vapers, Smokers, and Non-Users

Jessica George published RNA-sequencing data from oral epithelial cells of electronic cigarette users, cigarette smokers, and non-users on figshare in 2026. The dataset includes differential gene expression analysis and functional enrichment results. It was used to evaluate the contributions of dose metrics, device generation, and flavor type to transcriptomic dysregulation.

Use Cases

• Compare transcriptomic dysregulation between vaping and smoking based on differential gene expression analysis
• Model dose-response relationships for vaping using metrics like cumulative e-liquid and plasma cotinine
• Investigate the influence of product characteristics like device generation and flavor type on gene expression variability

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 plasma cotinine
• Results quantify the proportion of differentially expressed genes affected consistently across dose metrics (27.6% for vapers, 54.1% for smokers)

Limitations

• Dataset is small (355.6 KB), suggesting it may contain summary results rather than raw sequencing reads
• Row count and column-level documentation are unknown, limiting suitability assessment
• Data freshness should be verified as the last update date is in the future (2026-06-01)

Provenance

Source

figshare

Collection Method

RNA-sequencing of oral epithelial cells from human subjects, with differential expression analysis using limma-voom modeling

Freshness

Last updated 2026-06-01 05:26:43