Vaping and Smoking-Associated Transcriptomic Dysregulation in Oral Epithelium

Data Sheet 3_Multidimensional exposure architecture shapes vaping-associated transcriptomic dysregulation in oral epithelium.pdf contains RNA-sequencing data from oral epithelial cells of e-cigarette users, cigarette smokers, and non-users. The dataset, authored by Jessica George and shared under CC-BY-4.0 on figshare in 2026, includes differential gene expression analysis and functional enrichment results. It evaluates the contributions of dose metrics, device generation, and flavor type to transcriptional changes.

Use Cases

• Compare differential gene expression patterns between vapers, smokers, and non-users based on the RNA-sequencing results.
• Analyze dose-response relationships using cumulative e-liquid, e-nicotine, years vaped, and plasma cotinine metrics described in the study.
• Investigate the influence of product characteristics like device generation and flavor type on gene expression variability among vapers.
• Identify dysregulated cancer- and signaling pathways, such as the RHO GTPase Cycle, through functional enrichment analysis.

Strengths

• Includes data from three distinct exposure groups: e-cigarette users, cigarette smokers, and non-users.
• Analyzes multiple dose metrics including cumulative e-liquid, cumulative e-nicotine, years vaped, and plasma cotinine.
• Examines the impact of specific product characteristics like device generation and flavor type.
• Reports specific findings, such as 27.6% of DEGs in vapers showing concordant behavior across dose metrics.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a 1.1 MB PDF, which may require extraction of underlying data tables.

Provenance

Source

Jessica George

Collection Method

RNA-sequencing of oral epithelial cells from e-cig users, cigarette smokers, and non-users, analyzed with covariate-adjusted limma-voom modeling.

Freshness

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