ArticleCell2022
Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches.
Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 614 papers, 1 of them a synthesis that pooled it.
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614 citing papers in PubMed, 1 synthesis or guideline pooled it, 872 citations in OpenAlex.
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- Excessive EFHD1-dependent ER-mitochondrial contacts drive a maladaptive antiviral response in metabolic liver disease.The Journal of clinical investigation · 2026Article
- A human single-cell atlas identifies OLR1Nature genetics · 2026Article
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- Canonical and Non-Canonical Regulators of Lipid Metabolism in the Liver and the "Liver-Other Organs" Axes.International journal of molecular sciences · 2026Review
- Integrated single-cell multiomics reveals neutrophil-driven immune-metabolic reprogramming of Kupffer cells via thrombospondin-1/CD36 after surgical stress.JCI insight · 2026Article
- An lncRNA-aware single-cell framework with donor-level validation identifies reproducible MEG3 enrichment in human liver sinusoidal endothelial cells.Functional & integrative genomics · 2026Article
- Dysregulated mScience advances · 2026Article
- In vivo CRISPR screens identify dual functions of DNMT3A in mediating tumor immune evasion.Nature communications · 2026Article
- Macrophage heterogeneity in human secondary lymphoid organs.Clinical science (London, England : 1979) · 2026Review
- Article
- Gene-Based Clustering Identifies QSOX1 and IL1RAP as Biomarkers of Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- A refined MASH-HCC model identifies macrophage Gadd45b as a key orchestrator of inflammation-driven neoplastic progression.Experimental & molecular medicine · 2026Article
- Data-driven identification of cell subtypes for single-cell transcriptomic data with Subtypist.Briefings in bioinformatics · 2026Article
554 more citing papers are in PubMed but not listed here.
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Authors and funding
38 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.