Efficient and reproducible generation of human induced pluripotent stem cell-derived expandable liver organoids for disease modeling

Cited 11 time in scopus
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Title
Efficient and reproducible generation of human induced pluripotent stem cell-derived expandable liver organoids for disease modeling
Author(s)
Seon Ju Mun; Yeon Hwa Hong; Yongbo Shin; Jaeseo Lee; Hyun-Soo ChoDae Soo KimKyung-Sook ChungMyung Jin Son
Bibliographic Citation
Scientific Reports, vol. 13, pp. 22935-22935
Publication Year
2023
Abstract
Genetic liver disease modeling is difficult because it is challenging to access patient tissue samples and to develop practical and relevant model systems. Previously, we developed novel proliferative and functional liver organoids from pluripotent stem cells; however, the protocol requires improvement for standardization and reproducible mass production. Here, we improved the method such that it is suitable for scalable expansion and relatively homogenous production, resulting in an efficient and reproducible process. Moreover, three medium components critical for long-term expansion were defined. Detailed transcriptome analysis revealed that fibroblast growth factor signaling, the essential pathway for hepatocyte proliferation during liver regeneration, was mainly enriched in proliferative liver organoids. Short hairpin RNA-mediated knockdown of FGFR4 impaired the generation and proliferation of organoids. Finally, glycogen storage disease type Ia (GSD1a) patient-specific liver organoids were efficiently and reproducibly generated using the new protocol. They well maintained disease-specific phenotypes such as higher lipid and glycogen accumulation in the liver organoids and lactate secretion into the medium consistent with the main pathologic characteristics of patients with GSD1a. Therefore, our newly established liver organoid platform can provide scalable and practical personalized disease models and help to find new therapies for incurable liver diseases including genetic liver diseases.
ISSN
2045-2322
Publisher
Springer-Nature Pub Group
Full Text Link
http://dx.doi.org/10.1038/s41598-023-50250-w
Type
Article
Appears in Collections:
Division of Research on National Challenges > Stem Cell Convergenece Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Digital Biotech Innovation Center > 1. Journal Articles
Center for Gene & Cell Theraphy > 1. Journal Articles
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