Single-cell transcriptomics reveals liver developmental trajectory during lineage reprogramming of human induced hepatocyte-like cells

Hepatocytes are crucial for drug screening, disease modeling, and clinical transplantation, yet generating functional hepatocytes in vitro is challenging due to the difficulty of establishing their authentic gene regulatory networks (GRNs). We have previously developed a two-step lineage reprogramming strategy to generate functionally competent human induced hepatocytes (hiHeps), providing an effective model for studying the establishment of hepatocyte-specific GRNs. In this study, we utilized high-throughput single-cell RNA sequencing (scRNA-seq) to explore the cell-fate transition and the establishment of hepatocyte-specific GRNs involved in the two-step reprogramming process. Our findings revealed that the late stage of the reprogramming process mimics the natural trajectory of liver development, exhibiting similar transcriptional waves of developmental genes. CD24 and DLK1 were identified as surface markers enriching two distinct hepatic progenitor populations respectively. Lipid metabolism emerged as a key enhancer of hiHeps maturation. Furthermore, transcription factors HNF4A and HHEX were identified as pivotal gatekeepers directing cell fate decisions between hepatocytes and intestinal cells. Collectively, this study provides valuable insights into the establishment of hepatocyte-specific GRNs during hiHeps induction at single-cell resolution, facilitating more efficient production of functional hepatocytes for therapeutic applications.

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Publication Details

Journal
Cellular and Molecular Life Sciences
Published
2025-04-06
DOI
https://doi.org/10.1007/s00018-025-05677-x
Primary Topic
Pancreatic function and diabetes
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell transcriptomics reveals liver developmental trajectory during lineage reprogramming of human induced hepatocyte-like cells

Xi Kong, Yong Jiang, Jianhua Peng, Shigang Yin et al.
Cellular and Molecular Life Sciences
Pancreatic function and diabetes
article

Single-cell transcriptomics reveals liver developmental trajectory during lineage reprogramming of human induced hepatocyte-like cells

Xi Kong, Yong Jiang, Jianhua Peng, Shigang Yin, Guangya Li, Huangfan Xie, Bingqing Xie, Hongkui Deng, Tao Wei, Li Cheng, Nan Jiang, Sen Luo
article en

Abstract

Hepatocytes are crucial for drug screening, disease modeling, and clinical transplantation, yet generating functional hepatocytes in vitro is challenging due to the difficulty of establishing their authentic gene regulatory networks (GRNs). We have previously developed a two-step lineage reprogramming strategy to generate functionally competent human induced hepatocytes (hiHeps), providing an effective model for studying the establishment of hepatocyte-specific GRNs. In this study, we utilized high-throughput single-cell RNA sequencing (scRNA-seq) to explore the cell-fate transition and the establishment of hepatocyte-specific GRNs involved in the two-step reprogramming process. Our findings revealed that the late stage of the reprogramming process mimics the natural trajectory of liver development, exhibiting similar transcriptional waves of developmental genes. CD24 and DLK1 were identified as surface markers enriching two distinct hepatic progenitor populations respectively. Lipid metabolism emerged as a key enhancer of hiHeps maturation. Furthermore, transcription factors HNF4A and HHEX were identified as pivotal gatekeepers directing cell fate decisions between hepatocytes and intestinal cells. Collectively, this study provides valuable insights into the establishment of hepatocyte-specific GRNs during hiHeps induction at single-cell resolution, facilitating more efficient production of functional hepatocytes for therapeutic applications.

Cellular and Molecular Life SciencesVol. 82(1)
Peking University (CN), Cheung Kong Graduate School of Business (CN), Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Pancreatic function and diabetes
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