| Literature DB >> 35021063 |
Martin Guilliams1, Johnny Bonnardel2, Birthe Haest2, Bart Vanderborght3, Camille Wagner2, Anneleen Remmerie4, Anna Bujko4, Liesbet Martens5, Tinne Thoné5, Robin Browaeys6, Federico F De Ponti4, Bavo Vanneste5, Christian Zwicker4, Freya R Svedberg2, Tineke Vanhalewyn5, Amanda Gonçalves7, Saskia Lippens7, Bert Devriendt8, Eric Cox8, Giuliano Ferrero9, Valerie Wittamer10, Andy Willaert11, Suzanne J F Kaptein12, Johan Neyts12, Kai Dallmeier12, Peter Geldhof13, Stijn Casaert13, Bart Deplancke14, Peter Ten Dijke15, Anne Hoorens16, Aude Vanlander17, Frederik Berrevoet17, Yves Van Nieuwenhove18, Yvan Saeys6, Wouter Saelens14, Hans Van Vlierberghe19, Lindsey Devisscher20, Charlotte L Scott21.
Abstract
The liver is the largest solid organ in the body, yet it remains incompletely characterized. Here we present a spatial proteogenomic atlas of the healthy and obese human and murine liver combining single-cell CITE-seq, single-nuclei sequencing, spatial transcriptomics, and spatial proteomics. By integrating these multi-omic datasets, we provide validated strategies to reliably discriminate and localize all hepatic cells, including a population of lipid-associated macrophages (LAMs) at the bile ducts. We then align this atlas across seven species, revealing the conserved program of bona fide Kupffer cells and LAMs. We also uncover the respective spatially resolved cellular niches of these macrophages and the microenvironmental circuits driving their unique transcriptomic identities. We demonstrate that LAMs are induced by local lipid exposure, leading to their induction in steatotic regions of the murine and human liver, while Kupffer cell development crucially depends on their cross-talk with hepatic stellate cells via the evolutionarily conserved ALK1-BMP9/10 axis.Entities:
Keywords: CITE-seq; Kupffer cell; NAFLD; across species; atlas; lipid-associated macrophage; liver; multi-omic; proteogenomic; spatial transcriptomics
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Year: 2022 PMID: 35021063 PMCID: PMC8809252 DOI: 10.1016/j.cell.2021.12.018
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582