Project description:Single cell transcriptomic analyses (scRNAseq) of hepatocytes and liver endothelial cells (L-EC) have revolutionized the understanding of the spatial architecture of liver structure and function. The spatial alignment of L-EC and hepatocytes is pivotal for liver function in health and disease given that L-EC act as instructive gatekeeper of nearby hepatocytes including the maintenance of liver metabolic zonation in a Wnt-dependent manner. Advancing liver biology beyond the ’transcript-centric’ view of scRNAseq analyses is presently restricted by the limited resolution of proteomics and genome-wide techniques to analyse post-translational modifications. Here, by combining spatial cell sorting methodology with transcriptomic and quantitative proteomic/phospho-proteomic analyses, we established the first functionally and spatially-resolved proteome landscape of the liver endothelium, yielding deep mechanistic insight into zonated vascular signalling mechanisms. Phosphorylation of receptor tyrosine kinases (RTK) was detected preferentially in the central vein area resulting in an atypical enrichment of tyrosine phosphorylation. Prototypic biological validation of the identified strong phosphorylation gradient of the vascular RTK Tie1 by blockade resulted in the rapid peri-central dysregulation of the L-EC transcriptome. Notably, the expression of Wnt9b in L-EC was discovered as Tie receptor controlled with reciprocal regulation by FoxO1 and STAT3 transcription factors. Genetic inactivation of Tie1 in L-EC or antibody blockade resulted in reduced liver regeneration following partial hepatectomy with reduced Wnt ligand and Wnt target gene expression, including Axin2, Sox9, Tbx3 and Lgr5. Taken together, the study has yielded unparalleled insight into the spatial organization of L EC signalling and discovered a vascular Tie-Wnt signalling axis as regulator of liver function. The employed spatial sorting technique followed by phospho-proteomic analysis may be employed as a universally adaptable strategy for the spatial phosphoproteomic analysis of scRNAseq data-defined relevant cellular (sub)-populations.

Project description:Single cell transcriptomic analyses (scRNAseq) of hepatocytes and liver endothelial cells (L-EC) have revolutionized the understanding of the spatial architecture of liver structure and function. The spatial alignment of L-EC and hepatocytes is pivotal for liver function in health and disease given that L-EC act as instructive gatekeeper of nearby hepatocytes including the maintenance of liver metabolic zonation in a Wnt-dependent manner. Advancing liver biology beyond the ’transcript-centric’ view of scRNAseq analyses is presently restricted by the limited resolution of proteomics and genome-wide techniques to analyse post-translational modifications. Here, by combining spatial cell sorting methodology with transcriptomic and quantitative proteomic/phospho-proteomic analyses, we established the first functionally and spatially-resolved proteome landscape of the liver endothelium, yielding deep mechanistic insight into zonated vascular signalling mechanisms. Phosphorylation of receptor tyrosine kinases (RTK) was detected preferentially in the central vein area resulting in an atypical enrichment of tyrosine phosphorylation. Prototypic biological validation of the identified strong phosphorylation gradient of the vascular RTK Tie1 by blockade resulted in the rapid peri-central dysregulation of the L-EC transcriptome. Notably, the expression of Wnt9b in L-EC was discovered as Tie receptor controlled with reciprocal regulation by FoxO1 and STAT3 transcription factors. Genetic inactivation of Tie1 in L-EC or antibody blockade resulted in reduced liver regeneration following partial hepatectomy with reduced Wnt ligand and Wnt target gene expression, including Sox9, Tbx3 and Lgr5. Taken together, the study has yielded unparalleled insight into the spatial organization of L EC signalling and discovered a vascular Tie/Wnt signalling axis as regulator of liver function. The employed spatial sorting technique followed by phospho-proteomic analysis may be employed as a universally adaptable strategy for the spatial phosphoproteomic analysis of scRNAseq data-defined relevant cellular (sub)-populations.

Project description:Verma2016 - Ca(2+) Signal Propagation Along Hepatocyte Cords This model is described in the article: Computational Modeling of Spatiotemporal Ca(2+) Signal Propagation Along Hepatocyte Cords. Verma A, Makadia H, Hoek JB, Ogunnaike BA, Vadigepalli R. IEEE Trans Biomed Eng 2016 Oct; 63(10): 2047-2055 Abstract: The purpose of this study is to model the dynamics of lobular Ca(2+) wave propagation induced by an extracellular stimulus, and to analyze the effect of spatially systematic variations in cell-intrinsic signaling parameters on sinusoidal Ca(2+) response.We developed a computational model of lobular scale Ca(2+) signaling that accounts for receptor- mediated initiation of cell-intrinsic Ca(2+) signal in hepatocytes and its propagation to neighboring hepatocytes through gap junction-mediated molecular exchange.Analysis of the simulations showed that a pericentral-to-periportal spatial gradient in hormone sensitivity and/or rates of IP3 synthesis underlies the Ca(2+) wave propagation. We simulated specific cases corresponding to localized disruptions in the graded pattern of these parameters along a hepatic sinusoid. Simulations incorporating locally altered parameters exhibited Ca(2+) waves that do not propagate throughout the hepatic plate. Increased gap junction coupling restored normal Ca(2+) wave propagation when hepatocytes with low Ca(2+) signaling ability were localized in the midlobular or the pericentral region.Multiple spatial patterns in intracellular signaling parameters can lead to Ca(2+) wave propagation that is consistent with the experimentally observed spatial patterns of Ca(2+) dynamics. Based on simulations and analysis, we predict that increased gap junction-mediated intercellular coupling can induce robust Ca(2+) signals in otherwise poorly responsive hepatocytes, at least partly restoring the sinusoidally oriented Ca (2+) waves.Our bottom-up model of agonist-evoked spatial Ca(2+) patterns can be integrated with detailed descriptions of liver histology to study Ca(2+) regulation at the tissue level. This model is hosted on BioModels Database and identified by: MODEL1603110003. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

LC-MS/MS of mouse hepatocytes sorted by lobule layers

Publications

Spatial sorting enables comprehensive characterization of liver zonation.

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