Generation of uniform liver spheroids from human pluripotent stem cells for imaging-based drug toxicity analysis

诱导多能干细胞 毒性 球体 药品 肝细胞 药物毒性 药理学 干细胞 生物 生物医学工程 细胞培养 细胞生物学 胚胎干细胞 医学 生物化学 基因 体外 内科学 遗传学
作者
Gyunggyu Lee,Hyemin Kim,Ji Young Park,Gyeongmin Kim,Jiyou Han,Seok Chung,Ji Hun Yang,Jang Su Jeon,Dong‐Hun Woo,Choongseong Han,Sang Kyum Kim,Han‐Jin Park,Jong‐Hoon Kim
出处
期刊:Biomaterials [Elsevier BV]
卷期号:269: 120529-120529 被引量:89
标识
DOI:10.1016/j.biomaterials.2020.120529
摘要

Recent advances in pluripotent stem cell technology provide an alternative source of human hepatocytes to overcome the limitations of current toxicity tests. However, this approach requires optimization and standardization before it can be used as a fast and reliable toxicity screening system. Here, we designed and tested microwell culture platforms with various diameters. We found that large quantities of uniformly-sized hepatocyte-like cell (HLC) spheroids (3D-uniHLC-Ss) could be efficiently and reproducibly generated in a short period time from a small number of differentiating human pluripotent stem cells (hPSCs). The hPSC-3D-uniHLC-Ss that were produced in 500-μm diameter microwells consistently exhibited high expressions of hepatic marker genes and had no significant signs of cell death. Importantly, a hepatic master gene hepatocyte nuclear factor 4α (HNF4α) was maintained at high levels, and the epithelial-mesenchymal transition was significantly attenuated in hPSC-3D-uniHLC-Ss. Additionally, when compared with 3D-HLC-Ss that were produced in other 3D platforms, hPSC-3D-uniHLC-Ss showed significantly higher hepatic gene expressions and drug-metabolizing activity of the enzyme, CYP3A4. Imaging-based drug toxicity studies demonstrated that hPSC-3D-uniHLC-Ss exhibited enhanced sensitivity to various hepatotoxicants, compared to HLCs, which were differentiated under 2D conditions. Precise prediction of drug-induced hepatotoxicity is a crucial step in the early phases of drug discovery. Thus, the hPSC-3D-uniHLC-Ss produced using our microwell platform could be used as an imaging-based toxicity screening system to predict drug hepatotoxicity.
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