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Mass generation and long-term expansion of hepatocyte organoids from adult primary hepatocytes

GSE298576 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/07/23 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: 24 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Adult primary human hepatocytes (PHHs) are the gold standard in ex vivo toxicological studies and possess the clinical potential to treat patients with liver disease as advanced therapy medicinal products (ATMPs). However, the utility of this valuable cell type has been limited by short-term functionality and limited expansion potential in vitro.
Read the full summary ↓
While notable advances have been made in the long-term maintenance of primary hepatocytes, there has been limited success in driving the efficient generation and expansion of adult PHH-derived organoids which recapitulate both liver tissue architecture and function, hampering in vitro studies and regenerative medicine applications. Here we describe the mass generation and long-term expansion of hepatocyte organoids with functionally interconnected hepatic and biliary-like structures from adult primary human hepatocytes. Hepatocyte organoids retain the expression of lineage and functional markers, closely resembling PHH, while also acquiring the expression of regeneration, fetal and biliary markers. Organoids perform key hepatocyte functions while proliferating and can be matured to enhance their functionality. As a proof-of-principle, we demonstrate that hepatocyte organoids can recapitulate hallmarks of cholestasis and steatosis in vitro. Moreover, we show that hepatocytes can be transfected, transduced and gene edited in 3D prior to organoid generation, facilitating a wide range of applications. Our novel hepatocyte organoid system bridges the gap between short-term functionality of primary human hepatocytes and the need for scalable, long-term organoid models of the adult liver, offering immense potential for drug testing, disease modeling, and advanced therapeutic applications.
This dataset
Open GSE298576 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 GSE298576_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 PRJNA1269964 and SRA study SRP589000. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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

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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.