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E-cigarette Vapor Extract Alters Human Eosinophil Gene Expression in an Effect Mediated by Propylene glycol, Glycerin, and Nicotine

GSE263814 Homo sapiens (human) RNA-seq (gene expression) 28 samples Submitted 2025/04/09 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 28 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
28 samples: 24 distinct titles, 4 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
E-cigarette vapor extract alters human eosinophil gene expression in an effect mediated by propylene glycol, glycerin, and nicotineJournal of leukocyte biology · 2024
Summary (written by the submitters)
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.
Read the full summary ↓
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.
Published in
E-cigarette vapor extract alters human eosinophil gene expression in an effect mediated by propylene glycol, glycerin, and nicotine
Hogan NT, Castaneda-Castro FE, Logandha Ramamoorthy Premlal A et al. · Journal of leukocyte biology 2024 · PMID 39136235 · doi:10.1093/jleuko/qiae176
This dataset
Open GSE263814 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE263814_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1099280 and SRA study SRP501299. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39136235) ↗
Study design
24 distinct titles, 4 of them repeated
Eosinophils, D05_NT ×2 Eosinophils, D05_EB ×2 Eosinophils, D05_EVEN ×2 Eosinophils, D05_EVEP ×2

How we read this: Read from 28 sample titles: 24 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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