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

GSE292355 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/03/24 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 8 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 cannabichromene (CBC). 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 CBC in hepatocytes derived from human induced pluripotent stem cells (iPSCs).
Read the full summary ↓
Biological functions and pathways impacted by CBC exposure were identified, including liver metabolism and cellular oxidative stress. In addition, a transcriptomic point-of-departure (tPoD) value was determined for CBC 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 CBC, 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
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.

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 GSE292355_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1238242 and SRA study SRP571695. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
CBC 0.0 μM (control), biol ×3 CBC 0.1 μM, biol ×3 CBC 0.5 μM, biol ×3 CBC 1.0 μM, biol ×3 CBC 5.0 μM, biol ×3 CBC 10 μM, biol ×3 CBC 20 μM, biol ×3 CBC 40 μM, biol ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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
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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.