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

RNA-sequencing data of oral epithelial cells from electronic cigarette users, cigarette smokers, and non-users. The dataset was created by Jessica George and last updated on 2026-06-01. It includes differential gene expression analysis and dose-response metrics for vaping and smoking exposures.

Use Cases

• Identify differentially expressed genes associated with vaping based on RNA-seq data.
• Analyze dose-response relationships using metrics like cumulative e-liquid and plasma cotinine.
• Compare molecular pathway disruptions between vaping and smoking exposures.
• Investigate the influence of device generation and flavor type on gene expression in vapers.

Strengths

• Includes data from three distinct exposure groups: vapers, smokers, and non-users.
• Analysis incorporates multiple dose metrics, such as cumulative e-liquid and pack-years.
• Functional enrichment analyses reveal specific and shared pathway disruptions.
• Dataset is openly available under a CC-BY-4.0 license.

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 small in scale at 336.2 KB, indicating limited raw data or a processed summary.

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 05:26:42; freshness should be verified.