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Automated Generation of hiPSC-Derived Hepatic Progeny by Cost-Efficient Compounds.
- Source :
-
Stem cells (Dayton, Ohio) [Stem Cells] 2023 Nov 05; Vol. 41 (11), pp. 1076-1088. - Publication Year :
- 2023
-
Abstract
- Human pluripotent stem cell (hPSC)-derived hepatocyte-like cells (HLCs) hold great promise for liver disease modeling, drug discovery, and drug toxicity screens. Yet, several hurdles still need to be overcome, including among others decrease in the cost of goods to generate HLCs and automation of the differentiation process. We here describe that the use of an automated liquid handling system results in highly reproducible HLC differentiation from hPSCs. This enabled us to screen 92 chemicals to replace expensive growth factors at each step of the differentiation protocol to reduce the cost of goods of the differentiation protocol by approximately 79%. In addition, we also evaluated several recombinant extracellular matrices to replace Matrigel. We demonstrated that differentiation of hPSCs on Laminin-521 using an optimized small molecule combination resulted in HLCs that were transcriptionally identical to HLCs generated using the growth factor combinations. In addition, the HLCs created using the optimized small molecule combination secreted similar amounts of albumin and urea, and relatively low concentrations of alfa-fetoprotein, displayed similar CYP3A4 functionality, and a similar drug toxicity susceptibility as HLCs generated with growth factor cocktails. The broad applicability of the new differentiation protocol was demonstrated for 4 different hPSC lines. This allowed the creation of a scalable, xeno-free, and cost-efficient hPSC-derived HLC culture, suitable for high throughput disease modeling and drug screenings, or even for the creation of HLCs for regenerative therapies.<br /> (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Details
- Language :
- English
- ISSN :
- 1549-4918
- Volume :
- 41
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Stem cells (Dayton, Ohio)
- Publication Type :
- Academic Journal
- Accession number :
- 37616601
- Full Text :
- https://doi.org/10.1093/stmcls/sxad065