Influence of CPM-dependent sorting on the multi-omics profile of hepatocyte-like cells matured in microscale biochips

Liver modeling in disease via advanced in vitro physiological tissues remains a challenging issue, yet crucial for the future development of relevant tools for drug screening. In that regard, advanced technics such as human induced Pluripotent Stem Cells (hiPSCs) and organ-on-chip are promising technologies for the relevant reproduction of the in vivo micro physiology in in vitro culture conditions. In the present work, the maturation of carboxypeptidase M positive (CPM+) Hepatocyte-Like-Cells (HLCs) in microfluidic culture conditions was investigated. hiPSCs were differentiated in culture dishes until sorting and further amplified until seeding in biochips. After 2 weeks of maturation in biochips, evaluation of the cell metabolism was performed, and samples were collected for characterization via RNA sequencing, proteomics and metabolomics. The omics profile of biochips loaded with CPM+ HLCs was then compared with the one of previously cultured biochips loaded with unsorted HLCs. CPM+ HLCs presented advanced liver characteristics in terms of a higher activity of important Transcriptions Factors (TFs) such as HNF1, HNF4A, and CEBP/A, of the upregulation of steroids/corticoids-related nuclear receptors (FXR, NR3C2, NR4A1 genes), of phase I, and phase II metabolism genes (CYP1A1, CYP1B1, CYP2C18, CYP27A1, several UGT, SULT and GST genes). Further differences in the cellular reorganization, in the lipids and steroids metabolisms, in the OXPHOS respiration and in the expression of TGFβ signaling were also observed. The present study introduces a novel protocol using advances hiPSCs differentiation and sorting methods as well as the organ-on-chip technology to highlight important in vitro liver regeneration and hepatic maturation processes. •Hepatocytes-like cells were differentiated in Petri dishes, sorted, matured, and then inoculated in biochip.•Cells issued from sorted populations reached higher levels of maturation when compared to unsorted ones.•Transcriptomics, proteomics, and metabolomics profiles were characterized.•Characteristic pathways differentially expressed between cells issued from sorted and unsorted populations were analyzed.