Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches
Martin Guilliams, Johnny Bonnardel, Birthe Haest, Bart Vanderborght, Camille Wagner, Anneleen Remmerie, Anna Bujko, Liesbet Martens, Tinne Thoné, Robin Browaeys, Federico F. De Ponti, Bavo Vanneste, Christian Zwicker, Freya R. Svedberg, Tineke Vanhalewyn, Amanda Gonçalves, Saskia Lippens, Bert Devriendt, Eric Cox, Giuliano Ferrero, Valerie Wittamer, Andy Willaert, Suzanne J.F. Kaptein, Johan Neyts, Kai Dallmeier, Peter Geldhof, Stijn Casaert, Bart Deplancke, Peter ten Dijke, Anne Hoorens, Aude Vanlander, Frederik Berrevoet, Yves Van Nieuwenhove, Yvan Saeys, Wouter Saelens, Hans Van Vlierberghe, Lindsey Devisscher, Charlotte L. Scott
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.
Datasets
1. All cells from human liver dataset
Metadata
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f434e9ff-a680-4af3-8fa6-4e9a3a0b240d646 cells 38cf7005-edf7-4895-96f5-3681bffe273b610 cells fb286b56-95eb-4f48-b485-3beb95b61c27500 cells 4daea155-7d3b-4b17-8c60-1155b1c4f6f5284 cells d79c75aa-8d1f-4824-9c56-1cb81162b98558 cells bd88ae8a-da9e-4a0f-b791-f8d7780e193b11 cells Mono+mono derived cells29639 cells Circulating NK/NKT12567 cells Endothelial cells2834 cells [metastatic malignant neoplasm,colorectal cancer]61404 cells [squamous cell carcinoma,prostate cancer,colorectal cancer,chronic obstructive pulmonary disease]23897 cells [thyroid tumor,spinal stenosis,bursitis,chronic kidney disease,type 2 diabetes mellitus,cholecystolithiasis,prostatitis,cataract]14539 cells [morbid obesity,hypothyroidism]10891 cells [asthma,obesity disorder,nasal cavity polyp,cholecystolithiasis]9350 cells [cystadenocarcinoma,Parkinson disease,hepatocellular carcinoma,type 2 diabetes mellitus,abdominal obesity-metabolic syndrome,hemorrhoid]8524 cells [obesity disorder,cholecystolithiasis]8111 cells [endometriosis,hydrosalpinx,vitamin deficiency disorder,hepatocellular adenoma]6295 cells [injury,migraine disorder,meningitis]6077 cells [coronary artery disorder,obstructive sleep apnea syndrome,type 2 diabetes mellitus,obesity disorder,depressive disorder,hypertensive disorder]5403 cells [cataract,carpal tunnel syndrome,cholecystolithiasis]4669 cells [hepatocellular adenoma]3013 cells [morbid obesity,hyperlipidemia,abscess,urticaria,pulmonary arterial hypertension,acute myocardial infarction]1664 cells [chronic kidney disease,ovarian cyst,obstructive sleep apnea syndrome,pulmonary arterial hypertension,type 2 diabetes mellitus,congenital diaphragmatic hernia,cystic hygroma,pituitary gland adenoma,cholecystolithiasis,idiopathic progressive polyneuropathy,hemorrhoid]1602 cells [cholelithiasis,obesity disorder]1480 cells [morbid obesity,spinal stenosis,carpal tunnel syndrome,Hashimoto thyroiditis,insomnia,gastroesophageal reflux disease]610 cells [type 1 diabetes mellitus,abscess]58 cells [obesity disorder]11 cells natural killer cell23461 cells plasmacytoid dendritic cell3845 cells endothelial cell2834 cells conventional dendritic cell1258 cells human adult stage39132 cells 72-year-old human stage23897 cells 66-year-old human stage22272 cells 75-year-old human stage15560 cells 73-year-old human stage14539 cells 49-year-old human stage9350 cells 77-year-old human stage8524 cells 68-year-old human stage8111 cells 55-year-old human stage7741 cells 46-year-old human stage6295 cells 58-year-old human stage5403 cells 28-year-old human stage3013 cells 53-year-old human stage2212 cells 64-year-old human stage1480 cells 67-year-old human stage58 cells 33-year-old human stage11 cells Analyze this study
Source data
https://cellxgene.cziscience.com/collections/74e10dc4-cbb2-4605-a189-8a1cd8e44d8c
Alias names
GSE192742, PMID35021063, PMC8809252
Cite this study
Guilliams, M., Bonnardel, J., Haest, B., Vanderborght, B., Wagner, C., Remmerie, A., Bujko, A., Martens, L., Thoné, T., Browaeys, R. and De Ponti, F.F., 2022. Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches. Cell, 185(2), pp.379-396. https://doi.org/10.1016/j.cell.2021.12.018