The impact of vaping on adolescent lung function and nasal epithelial gene expression [RNA-seq]
RNA-seq (gene expression) · human · 48 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
- 48 samples
- 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
- A Pilot Study on the Impact of Vaping on Adolescent Lung Function and Nasal Epithelial Gene ExpressionAmerican journal of respiratory cell and molecular biology · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE238235_RAW.tar (it can run to tens of gigabytes).
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.
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 PRJNA998404 and SRA study SRP451354. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Sample01 … Sample49 and carry no group information.
- GSM7660851 Sample01
- GSM7660852 Sample02
- GSM7660853 Sample03
- GSM7660854 Sample04
- GSM7660855 Sample05
- GSM7660856 Sample06
- GSM7660857 Sample07
- GSM7660858 Sample08
- GSM7660859 Sample09
- GSM7660860 Sample10
- GSM7660861 Sample11
- GSM7660862 Sample12
- GSM7660863 Sample13
- GSM7660864 Sample14
- GSM7660865 Sample15
- GSM7660866 Sample16
- GSM7660867 Sample17
- GSM7660868 Sample18
- GSM7660869 Sample19
- GSM7660870 Sample20
- GSM7660871 Sample21
- GSM7660872 Sample22
- GSM7660873 Sample23
- GSM7660874 Sample24
- GSM7660875 Sample25
- GSM7660876 Sample26
- GSM7660877 Sample27
- GSM7660878 Sample28
- GSM7660879 Sample29
- GSM7660880 Sample30
- GSM7660881 Sample31
- GSM7660882 Sample32
- GSM7660883 Sample33
- GSM7660884 Sample34
- GSM7660885 Sample36
- GSM7660886 Sample37
- GSM7660887 Sample38
- GSM7660888 Sample39
- GSM7660889 Sample40
- GSM7660890 Sample41
+ 8 more — browse all 48 samples with per-sample file links →
- GSE310058 Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq] 149 samples shares rna-seq, lung
- GSE308103 Single-nucleus RNA-sequencing (snRNA-seq) analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas 75 samples shares rna-seq, lung
- GSE282444 Epigenetic Memory of Intestinal Epithelial Cells in Inflammatory Bowel Disease [RNA-seq] 56 samples shares epithelial, rna-seq
- GSE281740 single-cell RNA-sequence data of clinical small cell lung cancer samples 19 samples shares rna-seq, lung
- GSE189357 Spatiotemporal transcriptional atlas of lung adenocarcinoma from adenocarcinoma in situ to invasive carcinoma [scRNA-seq] 9 samples shares rna-seq, lung
- GSE235715 Multi-scaled transcriptomics of chronically inflamed nasal epithelium reveals immune-epithelial dynamics and tissue remodeling in nasal polyp formation 60 samples shares epithelial, nasal
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares rna-seq
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq
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.