A spatial vascular transcriptomic, proteomic, and phosphoproteomic atlas unveils an angiocrine Tie–Wnt signaling axis in the liver.

Single-cell transcriptomics (scRNA-seq) has revolutionized the understanding of the spatial architecture of tissue structure and function. Advancing the "transcript-centric" view of scRNA-seq analyses is presently restricted by the limited resolution of proteomics and genome-wide techniques to analyze post-translational modifications. Here, by combining spatial cell sorting with transcriptomics and quantitative proteomics/phosphoproteomics, we established the spatially resolved proteome landscape of the liver endothelium, yielding deep mechanistic insight into zonated vascular signaling mechanisms. Phosphorylation of receptor tyrosine kinases was detected preferentially in the central vein area, resulting in an atypical enrichment of tyrosine phosphorylation. Prototypic biological validation identified Tie receptor signaling as a selective and specific regulator of vascular Wnt activity orchestrating angiocrine signaling, thereby controlling hepatocyte function during liver regeneration. Taken together, the study has yielded fundamental insight into the spatial organization of liver endothelial cell signaling. Spatial sorting may be employed as a universally adaptable strategy for multiomic analyses of scRNA-seq-defined cellular (sub)-populations. [Display omitted] • ScRNA-seq-guided spatial sort enables multiomic dissection of the liver vasculature • Liver sinusoidal endothelial cells have a hybrid vascular-lymphatic phenotype • Tyrosine phosphorylation of endothelial cell molecules is enriched on central vein • Endothelial Tie1 shapes hepatic Wnt signal zonation and promotes liver regeneration Inverso, Shi et al. generate a multiomic encyclopedia of liver endothelial cells (L-ECs) with spatial resolution of transcriptome, proteome, and phosphoproteome. The study provides insight into liver vascular zonation and a template for scRNA-seq-data-guided spatial proteome and phosphoproteome analyses. [ABSTRACT FROM AUTHOR]