Cited by 368Single-cell and spatial transcriptomicsLiver physiology and pathologyGene expression and cancer classification

Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells

Open access
Halpern, Keren Bahar, Shenhav, Rom, Massalha, Hassan, Toth, Beata, Egozi, Adi, Massasa, Efi E, Medgalia, Chiara, David, Eyal +5 more·2018·Nature Biotechnology

Abstract

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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Crossref · 10.1038/nbt.4231

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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 measured
  • Pericentral 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).”
  • 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.”
  • 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]

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References 60 · Cited by 368

Research works printed but not linked: 1

  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
Venue
Nature Biotechnology
Published
2018-09-17
Volume
36
Issue
10
Pages
962-970
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
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
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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