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Updated: Aug 28, 2025

In Vitro Cultivation Techniques for Modeling Liver Organogenesis, Building Assembloids, and Designing Synthetic Tissues using Human Cell Lines
Published on: April 18, 2025
Development of a high-throughput micropatterned agarose scaffold for consistent and reproducible hPSC-derived liver
Shanqing Jiang1,2,3, Fang Xu1, Menglong Jin1
1Tissue Engineering and Organ Manufacturing (TEOM) Laboratory, Department of Biomedical Engineering, Wuhan University TaiKang Medical School (School of Basic Medical Sciences), Wuhan 430071, People's Republic of China.
Abstract:
Liver organoids represent emerging human-relevantin vitroliver models that have a wide range of biomedical applications in basic medical studies and preclinical drug discovery. However, the generation of liver organoids currently relies on the conventional Matrigel dome method, which lacks precise microenvironmental control over organoid growth and results in significant heterogeneity of the formed liver organoids. Here, we demonstrate a novel high-throughput culture method to generate uniform liver organoids from human pluripotent stem cell-derived foregut stem cells in micropatterned agarose scaffold. By using this approach, more than 8000 uniformly-sized liver organoids containing liver parenchyma cells, non-parenchymal cells, and a unique stem cell niche could be efficiently and reproducibly generated in a 48-well plate with a size coefficient of variation significance smaller than that in the Matrigel dome. Additionally, the liver organoids highly expressed liver-specific markers, including albumin (ALB), hepatocyte nuclear factor 4 alpha (HNF4α), and alpha-fetoprotein (AFP), and displayed liver functions, such as lipid accumulation, glycogen synthesis, ALB secretion, and urea synthesis. As a proof of concept, we evaluated the acute hepatotoxicity of acetaminophen (APAP) in these organoids and observed APAP-induced liver fibrosis. Overall, we expect that the liver organoids will facilitate wide biomedical applications in hepatotoxicity analysis and liver disease modeling.

