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Clinical, physiologic, imaging, and molecular responses to cannabis smoking: the Canadian Users of Cannabis Smoke (CANUCK) Study

GSE307690 Homo sapiens (human) RNA-seq (gene expression) 61 samples Submitted 2025/10/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 61 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
61 samples: 61 × Airway epithelium, sampleGroups 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
Clinical, physiological, imaging and molecular responses to cannabis smoking: the Canadian Users of Cannabis Smoke (CANUCK) studyThe European respiratory journal · 2026
Summary (written by the submitters)
Background. The growing popularity of cannabis smoking in an era of legalization has prompted concerns about respiratory health. Objective. To investigate clinical and airway epithelial transcriptomic features associated with cannabis smoking. Methods. This cross-sectional study analyzed 139 cannabis-smoking participants categorized by joint-year exposure (low: ≤5; moderate: >5-20; high: >20), and 57 never-smokers.
Read the full summary ↓
We evaluated respiratory symptom questionnaire scores, lung function measurements, and chest computed tomography and hyperpolarized 129Xe pulmonary magnetic resonance imaging measurements across groups. We compared the expression of immune response signatures and mucin genes in airway epithelial brushings collected from bronchoscopy. Using air-liquid interface (ALI) cell cultures, we quantified epithelial MUC5AC protein and correlated its expression with clinical outcomes. Results. Among cannabis-smoking individuals (48% male and median age of 27 years), 84% reported current or former cigarette smoking or vaping. Cannabis-smoking groups reported worse respiratory symptoms than never-smokers. High joint-year cannabis-smoking participants showed lower pre-bronchodilator FEV1/FVC and FEF25-75, more radiographic emphysema, and more ventilation abnormalities than never-smokers. Airway epithelial brushings from cannabis-smoking individuals demonstrated increased type 2 immune response, decreased type 17 immune response, and higher MUC5AC gene expression than non-cannabis-smoking individuals. Epithelial MUC5AC protein expression in cell cultures correlated with worse clinical outcomes and imaging abnormalities. Conclusions. Cannabis smoking, particularly at high exposures, is associated with worse respiratory symptoms, lower lung function, functional imaging abnormalities, and dysregulated immune responses in the airway epithelium. These observations suggest respiratory harm associated with cannabis smoking and underscore the concerns for future respiratory morbidities related to persistent cannabis use.
Published in
Clinical, physiological, imaging and molecular responses to cannabis smoking: the Canadian Users of Cannabis Smoke (CANUCK) study
Leung C, Gilchrist CL, Wang CJ et al. · The European respiratory journal 2026 · PMID 41198398 · doi:10.1183/13993003.01659-2025
This dataset
Open GSE307690 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 GSE307690_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 PRJNA1322530 and SRA study SRP618953. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41198398) ↗
Study design
61 × Airway epithelium, sample

Supports a between-group comparison across 61 samples.

How we read this: 1 replicated groups read from 61 sample titles; they account for 61 of them. 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

+ 21 more — browse all 61 samples with per-sample file links →

Datasets on a similar topic

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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.