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Transcriptomic comparison of hepatocytes derived from a panel of human induced pluripotent stem cells with different ethnicities

GSE293032 Homo sapiens (human) RNA-seq (gene expression) 54 samples Submitted 2025/04/21 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 54 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
54 samples: 27 conditions, mostly in duplicateGroups 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
Hepatocytes derived from human induced pluripotent stem cells: Towards establishing an in vitro model for assessing population variability in hepatotoxicity testingCurrent research in toxicology · 2025
Summary (written by the submitters)
In the current study, we attempted to establish an in vitro model for assessing population variability in hepatotoxicity testing using a panel of hepatocytes derived from nine human induced pluripotent stem cell (iPSC) lines belonging to three different ethnic groups, Black or African American (BAA), Latino or Hispanic (LOH), and Non-Hispanic White (NHW). The panel of iPSC-derived hepatocytes were exposed to diglycolic acid (DGA) and usnic acid (UA), and transcriptomic changes were characterized and compared.
Published in
Hepatocytes derived from human induced pluripotent stem cells: Towards establishing an in vitro model for assessing population variability in hepatotoxicity testing
Gao X, Li R, Campasino K et al. · Current research in toxicology 2025 · PMID 40496982 · doi:10.1016/j.crtox.2025.100238
This dataset
Open GSE293032 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 GSE293032_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 PRJNA1242383 and SRA study SRP573411. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40496982) ↗
Study design
27 conditions, mostly in duplicate
B1, control, biol ×2 B1, DGA treated, biol ×2 B1, UA treated, biol ×2 B2, control, biol ×2 B2, DGA treated, biol ×2 B2, UA treated, biol ×2 B3, control, biol ×2 B3, DGA treated, biol ×2 +19 more

Supports a case/control comparison: 36 samples read as cases, 18 as controls.

How we read this: 27 replicated groups read from 54 sample titles; they account for 54 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

+ 14 more — browse all 54 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.