A comprehensive transcriptomic comparison of hepatocyte model systems improves selection of models for experimental use.

ABSTRACT: The myriad of available hepatocyte in vitro models provides researchers the possibility to select hepatocyte-like cells (HLCs) for specific research goals. However, direct comparison of hepatocyte models is currently challenging. We systematically searched the literature and compared different HLCs, but reported functions were limited to a small subset of hepatic functions. To enable a more comprehensive comparison, we developed an algorithm to compare transcriptomic data across studies that tested HLCs derived from hepatocytes, biliary cells, fibroblasts, and pluripotent stem cells, alongside primary human hepatocytes (PHHs). This revealed that no HLC covered the complete hepatic transcriptome, highlighting the importance of HLC selection. HLCs derived from hepatocytes had the highest tra

SUBMITTER: Ardisasmita AI 

PROVIDER: S-EPMC9568534 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature