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Efficient Differentiation of Human Pluripotent Stem Cells into Liver Cells
Published on: June 11, 2019
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A transcriptomic dataset comparing two methods of hepatocyte differentiation from human induced pluripotent stem
Xiugong Gao1, Rong Li1, Jeffrey J Yourick1
1Division of Toxicology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA.
Data in Brief
|July 28, 2022
Summary
Comparing two methods for differentiating human induced pluripotent stem cells (iPSCs) into hepatocyte-like cells (HLCs), this study reveals transcriptomic differences. The data aids in optimizing HLC differentiation for biomedical applications.
Area of Science:
- Stem cell biology
- Hepatogenesis research
- Genomics and transcriptomics
Background:
- Human induced pluripotent stem cells (iPSCs) offer a promising source for generating hepatocyte-like cells (HLCs).
- Various differentiation protocols exist, but direct comparisons of their efficiency and HLC quality are scarce.
- Understanding molecular differences between methods is crucial for improving *in vitro* hepatogenesis.
Purpose of the Study:
- To present a transcriptomic dataset comparing two distinct methods for differentiating iPSCs into HLCs.
- To provide a molecular basis for observed differences in differentiation efficiency and HLC quality.
- To facilitate the optimization of HLC differentiation protocols for enhanced maturity and biomedical utility.
Main Methods:
- Human iPSCs were differentiated into HLCs using two distinct methods (Method 1 and Method 2).
- HLCs were collected at early (day 17) and late (day 21) maturation stages.
- Global gene expression profiling was performed using Affymetryx GeneChip PrimeView Human Gene Expression Arrays, with primary human hepatocytes (PHHs) as a comparator.
Main Results:
- Transcriptomic profiles of HLCs generated by Method 1 and Method 2 were compared at different maturation stages.
- Gene expression data revealed distinct molecular signatures associated with each differentiation method.
- The dataset provides a comprehensive molecular comparison, highlighting differences in gene regulation during *in vitro* hepatogenesis.
Conclusions:
- The transcriptomic dataset offers valuable insights into the molecular mechanisms underlying hepatocyte differentiation from iPSCs.
- This data can guide the selection and refinement of differentiation protocols to achieve more mature and functional HLCs.
- The findings support the development of improved *in vitro* models for liver disease research and drug testing.
