Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
Open accessAbstract
Spatially resolved single-cell RNA sequencing (scRNAseq) is a powerful approach for inferring connections between a cell's identity and its position in a tissue. We recently combined scRNAseq with spatially mapped landmark genes to infer the expression zonation of hepatocytes. However, determining zonation of small cells with low mRNA content, or without highly expressed landmark genes, remains challenging. Here we used paired-cell sequencing, in which mRNA from pairs of attached mouse cells were sequenced and gene expression from one cell type was used to infer the pairs' tissue coordinates. We applied this method to pairs of hepatocytes and liver endothelial cells (LECs). Using the spatial information from hepatocytes, we reconstructed LEC zonation and extracted a landmark gene panel that we used to spatially map LEC scRNAseq data. Our approach revealed the expression of both Wnt ligands and the Dkk3 Wnt antagonist in distinct pericentral LEC sub-populations. This approach can be used to reconstruct spatial expression maps of non-parenchymal cells in other tissues.
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Wnt target genes and key metabolic enzymes have a zonated expression pattern in pericentral hepatocytes.
“creating a zonated expression pattern of Wnt target genes and key metabolic enzymes in pericentral hepatocytes (20–22).”
From Wnt signaling regulates hepatocyte cell division by a transcriptional repressor cascade (2022) · cites this paper as [22]
The Discussion (page unavailable) describes pericentrally zonated xenobiotic-metabolism enzymes in hepatocytes, supporting the metabolic-enzyme part of the claim. The Results section on pericentral LECs (page unavailable) says these cells secrete Wnt ligands that maintain hepatocyte zonation, but it does not establish that Wnt target genes themselves have zonated expression in pericentral hepatocytes. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPericentral ECs constitute a second liver cell population with high expression of Rspo3.
“In addition to HSCs, pericentral ECs constitute a second liver cell population with high expression of Rspo331,40,41, confirmed by scRNA-seq and snRNA-seq, ELISA, immunoblotting and spatial transcriptomics (Fig. 3c,e,j and Extended Data Fig. 6a–c,i).”
From Hepatic stellate cells control liver zonation, size and functions via R-spondin 3 (2025) · cites this paper as [40]
No clear patterns of zonation in gene expression within non-parenchymal populations were noted, suggesting that if such gradients exist in the human liver, the MERFISH library does not contain the proper genes to capture them.
“We did not note clear patterns of zonation in gene expression within these non-parenchymal populations28–30, suggesting that, if such gradients exist in the human liver, our MERFISH library does not contain the proper genes to capture them.”
From Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution (2025) · cites this paper as [28]
Murine liver injury-associated macrophages show significant overlap of marker genes with human scar-associated macrophages, with TREM2 and CD9 conserved across species.
“Of note, murine liver injury-associated macrophages show significant overlap of marker genes with those observed for human scar-associated macrophages, with TREM2 and CD9 demonstrating conservation across species18.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [18]
Disease-associated ACKR1+ and PLVAP+ endothelial cell subpopulations are topographically restricted to the fibrotic niche and enhance leucocyte transmigration.
“Disease-associated atypical chemokine receptor (ACKR1)+ and plasmalemma vesicle-associated protein (PLVAP)+ endothelial cell subpopulations which are topographically restricted to the fibrotic niche and enhance the transmigration of leucocytes were also defined.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [18]
A novel scar-associated TREM2+CD9+ macrophage subpopulation expands in liver fibrosis, differentiates from circulating monocytes, and is pro-fibrogenic.
“allowing identification of a novel scar-associated triggering receptor expressed on a myeloid cell (TREM)2+CD9+ subpopulation of macrophages which expands in liver fibrosis, differentiates from circulating monocytes and is pro-fibrogenic18.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [18]
Several recent studies have identified subpopulations of monocytes and macrophages that can regulate fibrosis and tissue remodelling.
“Several recent studies have identified subpopulations of monocytes and macrophages which have the capacity to regulate fibrosis and tissue remodelling18,61,68–71.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [18]
Pro-fibrotic macrophages commonly coordinate scar formation via interactions with fibroblasts, the major cellular source of pathological extracellular matrix deposition during fibrosis.
“pro-fibrotic macrophages commonly coordinate scar formation via a range of interactions with fibroblasts, the major cellular source of pathological extracellular matrix deposition during fibrosis18,27,74–78.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [18]
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References 60 · Cited by 368
Research works printed but not linked: 1
- [2]Transcriptomic characterization of 20 organs and tissues from mouse at single cell resolution creates a Tabula Muris bioRxiv Accessed: 27th December 2017 Available at: https://www.biorxiv.org/content/early/2017/12/20/237446
- Authors
- Halpern, K. B., Shenhav, R., Massalha, H., Toth, B., Egozi, A., Massasa, E. E., Medgalia, C., David, E., Giladi, A., Moor, A. E., Porat, Z., Amit, I., & Itzkovitz, S.
- Affiliations
- Weizmann Institute of Science (IL)
- Corresponding author
- Itzkovitz, Shalev
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2018-09-17
- Volume
- 36
- Issue
- 10
- Pages
- 962-970
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC6546596
- OpenAlex
- W2891349406
- Cited by
- 368
- References
- 60
- Citations by year
- 2026: 38 · 2025: 50 · 2024: 40 · 2023: 40 · 2022: 59 · 2021: 49 · 2020: 60 · 2019: 31 · 2018: 1
- FWCI
- 12.53
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Keywords
- liver endothelial cells, Wnt signaling, DKK3, non-parenchymal liver cells, mouse liver
- MeSH terms
- Animals, Base Sequence, Gene Expression Regulation, Liver, RNA, Messenger, Sequence Analysis, RNA, Protein Transport, Hepatocytes, Endothelial Cells, Mice, Wnt Signaling Pathway
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