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Oral Epithelium Response of Electronic Cigarette Users to Electronic Cigarette

GSE176492 Homo sapiens (human) Non-coding RNA profiling 87 samples Submitted 2025/06/05 Platform GPL11154
At a glance

Non-coding RNA profiling · human · 87 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
87 samples: 87 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Electronic cigarettes (EC) are increasing in popularity, but there is only little information on their biologic effects on the oral epithelium, the initial site exposed to EC smoke. We assessed the oral epithelium response to EC by comparing the histology and RNA transcriptome (mRNA and miRNA) of healthy EC vapers to nonsmokers (NS).
Read the full summary ↓
mRNA was assessed based on: (1) genome-wide; (2) genes previously identified as dysregulated in the oral epithelium of EC vapers vs NS; (3) immune and inflammatory-related genes previously identified as dysregulated in the nasal epithelium of EC vapers compared to NS; (4) genes previously identified as dysregulated in the small airway epithelium of NS following an acute exposure to EC; and (5) genes related to the initial steps of COVID-19 infection. In addition, miRNA was assessed genome-wide. Comparisons were performed using ANOVA, and Benajmini-Hochberg corrected p <0.05 was considered significant. The histology of the epithelium, lamina propria and basal layer in EC vapers appeared normal. Assessment of mRNA and miRNA, based on all gene lists, did not identify any genes significantly modified in the oral epithelium of EC vapers. Assessment of the oral epithelium of healthy EC vapers by histology, mRNA and miRNA demonstrated no abnormalities in response to EC smoke.
This dataset
Open GSE176492 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 GSE176492_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 ↗

Also filed as BioProject PRJNA736429 and SRA study SRP323412. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
87 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 87 sample titles: 87 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

+ 47 more — browse all 87 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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.