← BioTransfer GEO Dataset Finder
GEO series

RNA-seq analysis of concentration-response transcriptomic changes induced by cannabinol (CBN) in hepatocytes derived from human induced pluripotent stem cells (iPSCs)

GSE292356 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2025/03/24 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 21 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
21 samples: 7 conditions, mostly in triplicateGroups 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
An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinolBMC genomics · 2025
Summary (written by the submitters)
Currently little is known about the safety of nonintoxicating cannabinoids such as cannabinol (CBN). New approach methodologies (NAMs) based on bioinformatic analysis of high-throughput transcriptomic data are gaining increasing importance in risk assessment and regulatory decision-making of data-poor chemicals. In this study, we conducted a concentration response transcriptomic analysis of CBN in hepatocytes derived from human induced pluripotent stem cells (iPSCs).
Read the full summary ↓
Biological functions and pathways impacted by CBN exposure were identified, including liver metabolism and cellular oxidative stress. In addition, a transcriptomic point-of-departure (tPoD) value was determined for CBN through benchmark concentration (BMC) analysis of the transcriptomic data. The present study demonstrates the potential utility of transcriptomic BMC analysis as a NAM for hazard assessment of data-poor chemicals, improves our understanding of the possible health effects of CBN, and provides important tPoD data that could contribute to inform human safety assessment of cannabinoid compounds.
Published in
An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinol
Gao X, Yourick MR, Campasino K et al. · BMC genomics 2025 · PMID 40264021 · doi:10.1186/s12864-025-11548-3
This dataset
Open GSE292356 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 GSE292356_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 PRJNA1238241 and SRA study SRP571562. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40264021) ↗
Study design
7 conditions, mostly in triplicate
CBN 0.0 μM (control), biol ×3 CBN 0.1 μM, biol ×3 CBN 0.5 μM, biol ×3 CBN 1.0 μM, biol ×3 CBN 5.0 μM, biol ×3 CBN 10 μM, biol ×3 CBN 20 μM, biol ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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
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.