A transcriptomic dataset comparing two methods of hepatocyte differentiation from human induced pluripotent stem cells

Abstract

A variety of methods have been reported for the differentiation of hepatocyte-like cells (HLCs) from human induced pluripotent stem cells (iPSCs) using various growth factors or small molecules. However, direct comparison of the differentiation efficiency and the quality of the final HLCs between different methods has rarely been reported. To fill this data gap, we compared two hepatocyte differentiation methods, termed Method 1 and Method 2, and published the major findings in a research article entitled “Phenotypical, functional and transcriptomic comparison of two modified methods of hepatocyte differentiation from human induced pluripotent stem cells” (Li et al., 2022). The current data article describes the transcriptomic dataset comparing the two methods. HLCs were collected at early maturation (day 17) and late maturation (day 21) stages of the differentiation and total RNA were isolated. Global gene expression profiling of the HLCs was conducted using Affymetrix GeneChip PrimeView Human Gene Expression Arrays. Primary human hepatocytes (PHHs) were also included for comparison. The microarray dataset has been deposited in the Gene Expression Omnibus of the National Center for Biotechnology Information with accession number GSE187011. Detailed interpretation and discussion of the data can be found in the corresponding research article (Li et al., 2022). This dataset is useful in providing a molecular basis for the differences observed between the two differentiation methods, offering new insights into gene regulations in hepatogenesis in vitro, and suggesting ways to further improve hepatocyte differentiation in order to obtain more mature HLCs for biomedical applications.

Keywords

• Induced pluripotent stem cells
• Hepatocyte differentiation
• Hepatocyte-like cells
• Transcriptomics
• Microarray