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

Spatially resolved single-cell RNA sequencing (scRNAseq) is a powerful approach to infer connections between a cell’s identity and its position within a tissue. We recently combined scRNAseq with spatially-mapped landmark genes to infer the expression zonation of hepatocytes. However, determining zo...

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Autores principales: Halpern, Keren Bahar, Shenhav, Rom, Massalha, Hassan, Toth, Beata, Egozi, Adi, Massasa, Efi E., Medgalia, Chiara, David, Eyal, Giladi, Amir, Moor, Andreas E., Porat, Ziv, Amit, Ido, Itzkovitz, Shalev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546596/
https://www.ncbi.nlm.nih.gov/pubmed/30222169
http://dx.doi.org/10.1038/nbt.4231
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author Halpern, Keren Bahar
Shenhav, Rom
Massalha, Hassan
Toth, Beata
Egozi, Adi
Massasa, Efi E.
Medgalia, Chiara
David, Eyal
Giladi, Amir
Moor, Andreas E.
Porat, Ziv
Amit, Ido
Itzkovitz, Shalev
author_facet Halpern, Keren Bahar
Shenhav, Rom
Massalha, Hassan
Toth, Beata
Egozi, Adi
Massasa, Efi E.
Medgalia, Chiara
David, Eyal
Giladi, Amir
Moor, Andreas E.
Porat, Ziv
Amit, Ido
Itzkovitz, Shalev
author_sort Halpern, Keren Bahar
collection PubMed
description Spatially resolved single-cell RNA sequencing (scRNAseq) is a powerful approach to infer connections between a cell’s identity and its position within 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 present paired-cell sequencing, whereby mRNA from pairs of attached cells are sequenced and gene expression from one cell type is used to infer the pairs’ tissue coordinates. We apply the method to pairs of hepatocytes and liver endothelial cells (LECs). Using the spatial information from hepatocytes, we reconstruct LEC zonation and extract a landmark gene panel that we use to spatially map LEC scRNAseq data. Our approach reveals 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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spelling pubmed-65465962019-06-03 Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells Halpern, Keren Bahar Shenhav, Rom Massalha, Hassan Toth, Beata Egozi, Adi Massasa, Efi E. Medgalia, Chiara David, Eyal Giladi, Amir Moor, Andreas E. Porat, Ziv Amit, Ido Itzkovitz, Shalev Nat Biotechnol Article Spatially resolved single-cell RNA sequencing (scRNAseq) is a powerful approach to infer connections between a cell’s identity and its position within 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 present paired-cell sequencing, whereby mRNA from pairs of attached cells are sequenced and gene expression from one cell type is used to infer the pairs’ tissue coordinates. We apply the method to pairs of hepatocytes and liver endothelial cells (LECs). Using the spatial information from hepatocytes, we reconstruct LEC zonation and extract a landmark gene panel that we use to spatially map LEC scRNAseq data. Our approach reveals 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. 2018-11-01 2018-09-17 /pmc/articles/PMC6546596/ /pubmed/30222169 http://dx.doi.org/10.1038/nbt.4231 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Halpern, Keren Bahar
Shenhav, Rom
Massalha, Hassan
Toth, Beata
Egozi, Adi
Massasa, Efi E.
Medgalia, Chiara
David, Eyal
Giladi, Amir
Moor, Andreas E.
Porat, Ziv
Amit, Ido
Itzkovitz, Shalev
Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
title Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
title_full Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
title_fullStr Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
title_full_unstemmed Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
title_short Paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
title_sort paired-cell sequencing enables spatial gene expression mapping of liver endothelial cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546596/
https://www.ncbi.nlm.nih.gov/pubmed/30222169
http://dx.doi.org/10.1038/nbt.4231
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