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Updated: Jun 13, 2026

Robust Generation of Hepatocyte-like Cells from Human Embryonic Stem Cell Populations
Published on: October 26, 2011
Establishment of functional telomerase immortalized human hepatocytes and a hepatic stellate cell line for
Koji Waki1, Kumiko Anno, Taeko Ono
1Division of Frontier Medical Science Programs for Biomedical Research, Department of Medicine and Molecular Science, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
Abstract:
We previously reported that the telomere-targeting drug telomestatin induces apoptosis accompanied by G-tail reduction and dissociation of binding protein TRF2 from telomeres in cancer cell lines but not normal or human telomerase reverse transcriptase (hTERT)-immortalized cells. Because telomere-targeting drugs induce growth arrest in normal cells at higher doses, their development is dependent on the ability to predict toxicity before in vivo use, but no models for this are available. Here, we established two new cell lines, telomerase immortalized human fetal hepatocytes, Hc3716-hTERT, and telomerase immortalized hepatic stellate cells, NPC-hTERT. Examinations showed that Hc3716-hTERT maintained normal mammalian cell morphology, cell growth, albumin expression, and wild-type p53 responsiveness, whereas NPC-hTERT maintained hepatic stellate-like morphology, expression of hepatic stellate markers, alpha-smooth muscle actin, and secretion of type I collagen, an extracellular matrix protein. Given our finding that telomere G-tail length in Hc3716 cells was decreased in senescence and increased by hTERT infection, we next examined the effect of high-dose telomestatin-induced telomere dysfunction and G-tail shortening on cellular functions in Hc3716-hTERT cells. Interestingly, telomestatin decreased expression of cytochrome P450 (CYP) family members CYP3A3/4, CYP3A5, and CYP3A7, mRNA and induced albumin expression at both mRNA and protein levels. These gene expression responses to telomestatin were similar to those of the normal parental cell Hc3716. These established cell lines thus represent the first model for predicting the side-effects of telomere-targeting drugs in normal cells, and should be powerful tools in the development of these drugs.
Insights
New cell models predict side-effects of telomere-targeting drugs like telomestatin in normal cells. These models help assess drug toxicity before in vivo use, aiding safer drug development.
Area of Science:
- Pharmacology
- Cell Biology
- Drug Development
Background:
- Telomere-targeting drugs, like telomestatin, show promise but can cause toxicity in normal cells.
- Predicting in vivo toxicity of these drugs is challenging due to a lack of suitable models.
- Understanding cellular responses to telomere dysfunction is crucial for safe drug development.
Purpose of the Study:
- To establish novel cell line models for predicting the toxicity of telomere-targeting drugs in normal cells.
- To investigate the effects of telomestatin on cellular functions in telomerase-immortalized cells.
- To provide tools for assessing potential side-effects of telomere-targeting agents.
Main Methods:
- Established two telomerase-immortalized cell lines: Hc3716-hTERT (hepatocytes) and NPC-hTERT (hepatic stellate cells).
- Characterized cell morphology, growth, and specific marker expression.
- Administered high-dose telomestatin to Hc3716-hTERT cells and analyzed gene expression (CYP family, albumin) and protein levels.
Main Results:
- The established cell lines maintained characteristics of their normal counterparts.
- Telomestatin treatment in Hc3716-hTERT cells led to decreased expression of CYP3A family members and increased albumin expression.
- These responses mirrored those observed in the parental normal Hc3716 cells, suggesting predictive value.
Conclusions:
- The developed cell lines serve as the first model system to predict telomere-targeting drug side-effects in normal cells.
- These models are valuable tools for assessing drug safety and guiding the development of telomere-targeting therapies.
- This work facilitates the prediction of drug-induced toxicity before in vivo administration.
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