bioRxivImmunology
Spatial proteogenomics reveals distinct and evolutionarily-conserved hepatic macrophage niches
M. Guilliams, J. Bonnardel, B. Haest, B. Vanderborght, A. Bujko, L. Martens, T. Thone, R. Browaeys, F. F. De Ponti, A. Remmerie, C. Wagner, B. Vanneste, C. Zwicker, T. Vanhalewyn, A. Goncalves, S. Lippens, B. Devriendt, E. Cox, G. Ferrero, V. Wittamer, A. Willaert, S. J. Kaptein, J. Neyts, K. Dallmeier, P. Geldhof, , C. 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 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. We then align this atlas across seven species, revealing the conserved program of bona fide Kupffer cells and bile-duct macrophages. We also uncover the respective spatially-resolved cellular niches of these macrophages and the microenvironmental circuits driving their unique transcriptomic identities. We demonstrate that bile-duct macrophages are induced by local lipid exposure, while Kupffer cells crucially depend on their crosstalk with hepatic stellate cells via the evolutionarily-conserved ALK1-BMP9/10 axis.
- organism: human
- organism: mouse
- assay: scRNA-seq
- assay: spatial transcriptomics
- assay: proteomics
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: chromatin & epigenetic regulation
- approach: deep learning
- approach: statistical model
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