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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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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. |
format | Online Article Text |
id | pubmed-6546596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
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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