GEO series
E-cigarette Vapor Extract Alters Human Eosinophil Gene Expression in an Effect Mediated by Propylene glycol, Glycerin, and Nicotine
GSE263814
Homo sapiens
Expression profiling by high throughput sequencing
28 samples
2025/04/09
GPL24676
Summary
E-cigarette use (vaping) has become widespread, and its effects on airway inflammation and disease are not fully delineated. E-cigarette vapor extract (EVE) profoundly affects neutrophil function. We hypothesized that EVE also alters eosinophil function and thus could impact allergic airways disease. We employed RNA-sequencing to measure the ex vivo effect of EVE components on human eosinophil transcription. Eosinophils from 7 non-vaping subjects without asthma were isolated by negative selection from venous blood. Cells were incubated for 48 hours with EVE consisting of glycerin, propylene glycol and nicotine (EVE+), EVE without nicotine (“EVE-”), Extract Buffer (EB), and untreated media. Bulk RNA-sequencing was performed. Principal component analysis revealed that the EVE+ and EVE- conditions clustered closely together. Differential gene expression analysis revealed a “negative regulation of interferon gamma production” and “apoptotic mitochondrial changes” pathways for genes upregulated in EVE- samples and a down regulation of “inflammatory response” and “chemokine signaling” in comparison to the EB control condition. 93 genes were differentially expressed genes between EVE+ and EVE-, indicating a relatively small effect of nicotine on eosinophil gene expression. These results demonstrate that EVE significantly alters eosinophil gene expression, predominantly mediated by propylene glycol and glycerin rather than by nicotine. This study motivates further research into the pathogenic effects of vaping on airway eosinophils and allergic airways disease.
Download
NCBI GEO page ↗
Paper (PMID 39136235) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.