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Integrative gene regulatory analysis reveals transcriptional mechanisms required in mature human hepatocytes and during in vitro hepatocyte differentiation (ATAC-Seq)

GSE182602 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 6 samples Submitted 2024/08/22 Platform GPL18573
Summary
Advances in 3D cell culture systems, including the hepatic organoids, has shown the potential to model the liver development in vitro. However, hepatocyte-like cells obtained by these means are still immature compared to the primary human hepatocytes. Here we applied single-cell RNA-seq and ATAC-seq to identify gene regulatory mechanisms distinct to mature human hepatocytes (in vivo) and organoid derived hepatocyte like cells (in vitro). Using a modified two-step perfusion protocol, primary hepatocytes from all lobular zones were obtained with high purity. Integrative analysis revealed a key role of transcription factors of the AP-1 family in cooperation with hepatocyte-specific transcription factors, such as HNF4A, in establishing cellular identity of mature hepatocytes. Furthermore, it revealed distinct transcription factor sets required/active in human hepatocytes and liver organoids. Function analysis of an organoid-enriched transcription factor ELF3, showed that decreased expression of ELF3 in liver organoids promotes increased expression of genes typical to mature hepatocytes. This study indicates that ELF3 functions as a barrier of hepatocyte differentiation from liver organoids. Collectively, our integrative analysis provides critical insights into the transcriptional regulatory networks of human hepatocytes and liver organoids, which will further efficient differentiation of functional hepatocytes in vitro.
Published in
Multi-omics analysis reveals distinct gene regulatory mechanisms between primary and organoid-derived human hepatocytes
Wu H, Yang ASP, Stelloo S et al. · Disease models & mechanisms 2025 · PMID 39878507 · doi:10.1242/dmm.050883
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Direct links to NCBI, no account and no request form: the whole study as GSE182602_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA756998 and SRA study SRP333731. Searching any of these in the dataset finder brings you back here.

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