ScRNA-seq, snRNA-seq and RNA-seq of mouse hepatocytes during liver maturation
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE209749 | GEO | 2023/06/26
REPOSITORIES: GEO
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Project description:The metabolic functions of the liver are organized spatially in a phenomenon known as zonation. This spatial organization of metabolic functions is linked to the differential exposure of central and portal hepatocytes to either systemic circulation or nutrient-rich blood afferent from the gastrointestinal tract, respectively. The mechanistic target of rapamycin complex 1 (mTORC1) is the central hub of a critical signaling pathway that links cellular metabolism to fluctuations in the levels of nutrients and insulin. To understand how these two signaling cues are integrated in the liver, we have generated mice with constitutive nutrient and insulin signaling to mTORC1 in hepatocytes (RragaGTP/fl; Tsc1fl/fl; Albumin-CreTg mice). Simultaneous activation of nutrient and hormone signaling to mTORC1 results in impaired establishment of the metabolic zonal identity of hepatocytes, a maturation process that takes place within the first weeks after birth. Mechanistically, a decrease in levels of the morphogenic pathway Wnt/β-catenin in hepatocytes and reduced expression of the Wnt2 ligand by liver endothelial cells after birth underlie this impaired wave of hepatocyte maturation. Lack of postnatal establishment of metabolic zonation of the liver is recapitulated in a model of constant supply of nutrients by total parenteral nutrition to neonatal pigs. Collectively, our work shows the critical role of hepatocyte sensing of fluctuations in nutrients and hormones after birth for triggering the latent metabolic zonation program.
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Project description:Cell type identity is encoded by gene regulatory networks (GRN), in which transcription factors (TFs) bind to enhancers to regulate target gene expression. In the mammalian liver, lineage TFs have been characterized for the main cell types, including hepatocytes. Hepatocytes cover a relatively broad cellular state space, as they differ significantly in their metabolic state, and function, depending on their position with respect to the central or portal vein in a liver lobule. It is unclear whether this spatially defined cellular state space, called zonation, is also governed by a well-defined gene regulatory code. To address this challenge, we have mapped enhancer-GRNs (eGRNs) across liver cell types at high resolution, using a combination of single-cell multi-omics, spatial omics, GRN inference, and deep learning. We found that zonated variation in gene expression in hepatocytes, liver sinusoidal endothelial cells and hepatocellular stellate cells corroborate cell state changes in transcription and chromatin accessibility with spatial transcriptomics. eGRN mapping suggests that zonation states in hepatocytes are driven by the repressors Tcf7l1 and Tbx3, that modulate the core hepatocyte GRN, controlled by Hnf4a, Cebpa, Hnf1a, Onecut1 and Foxa1, among others. To investigate how these TFs cooperate with cell type TFs, we performed an in vivo Massively Parallel Reporter Assay (MPRA) on 12,000 hepatocyte enhancers and used these data to train a hierarchical deep learning model (called DeepLiver) that exploits both enhancer accessibility and activity. DeepLiver confirms Cebpa, Onecut, Foxa1, Hnf1a and Hnf4a as drivers of enhancer specificity in hepatocytes; Tcf7l1/2 and Tbx3 as regulators of the zonation state; and Hnf4a, Hnf1a, AP-1 and Ets as activators. Finally, taking advantage of in silico mutagenesis predictions from DeepLiver and MPRA, we confirmed that the destruction of Tcf7l1/2 or Tbx3 motifs in zonated enhancers abrogates their zonation bias. Our study provides a multi-modal explanation of the regulatory code underlying hepatocyte identity and their zonation state, that can be exploited to engineer enhancers with desired activity levels and zonation patterns.
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