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Spatially resolved multiomics of human cardiac niches
The function of a cell is defined by its intrinsic characteristics and its niche: the tissue microenvironment in which it dwells. Here we combine single-cell and spatial transcriptomics data to discover cellular niches within eight regions of the human heart. We map cells to microanatomical location...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371870/ https://www.ncbi.nlm.nih.gov/pubmed/37438528 http://dx.doi.org/10.1038/s41586-023-06311-1 |
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author | Kanemaru, Kazumasa Cranley, James Muraro, Daniele Miranda, Antonio M. A. Ho, Siew Yen Wilbrey-Clark, Anna Patrick Pett, Jan Polanski, Krzysztof Richardson, Laura Litvinukova, Monika Kumasaka, Natsuhiko Qin, Yue Jablonska, Zuzanna Semprich, Claudia I. Mach, Lukas Dabrowska, Monika Richoz, Nathan Bolt, Liam Mamanova, Lira Kapuge, Rakeshlal Barnett, Sam N. Perera, Shani Talavera-López, Carlos Mulas, Ilaria Mahbubani, Krishnaa T. Tuck, Liz Wang, Lu Huang, Margaret M. Prete, Martin Pritchard, Sophie Dark, John Saeb-Parsy, Kourosh Patel, Minal Clatworthy, Menna R. Hübner, Norbert Chowdhury, Rasheda A. Noseda, Michela Teichmann, Sarah A. |
author_facet | Kanemaru, Kazumasa Cranley, James Muraro, Daniele Miranda, Antonio M. A. Ho, Siew Yen Wilbrey-Clark, Anna Patrick Pett, Jan Polanski, Krzysztof Richardson, Laura Litvinukova, Monika Kumasaka, Natsuhiko Qin, Yue Jablonska, Zuzanna Semprich, Claudia I. Mach, Lukas Dabrowska, Monika Richoz, Nathan Bolt, Liam Mamanova, Lira Kapuge, Rakeshlal Barnett, Sam N. Perera, Shani Talavera-López, Carlos Mulas, Ilaria Mahbubani, Krishnaa T. Tuck, Liz Wang, Lu Huang, Margaret M. Prete, Martin Pritchard, Sophie Dark, John Saeb-Parsy, Kourosh Patel, Minal Clatworthy, Menna R. Hübner, Norbert Chowdhury, Rasheda A. Noseda, Michela Teichmann, Sarah A. |
author_sort | Kanemaru, Kazumasa |
collection | PubMed |
description | The function of a cell is defined by its intrinsic characteristics and its niche: the tissue microenvironment in which it dwells. Here we combine single-cell and spatial transcriptomics data to discover cellular niches within eight regions of the human heart. We map cells to microanatomical locations and integrate knowledge-based and unsupervised structural annotations. We also profile the cells of the human cardiac conduction system(1). The results revealed their distinctive repertoire of ion channels, G-protein-coupled receptors (GPCRs) and regulatory networks, and implicated FOXP2 in the pacemaker phenotype. We show that the sinoatrial node is compartmentalized, with a core of pacemaker cells, fibroblasts and glial cells supporting glutamatergic signalling. Using a custom CellPhoneDB.org module, we identify trans-synaptic pacemaker cell interactions with glia. We introduce a druggable target prediction tool, drug2cell, which leverages single-cell profiles and drug–target interactions to provide mechanistic insights into the chronotropic effects of drugs, including GLP-1 analogues. In the epicardium, we show enrichment of both IgG(+) and IgA(+) plasma cells forming immune niches that may contribute to infection defence. Overall, we provide new clarity to cardiac electro-anatomy and immunology, and our suite of computational approaches can be applied to other tissues and organs. |
format | Online Article Text |
id | pubmed-10371870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103718702023-07-28 Spatially resolved multiomics of human cardiac niches Kanemaru, Kazumasa Cranley, James Muraro, Daniele Miranda, Antonio M. A. Ho, Siew Yen Wilbrey-Clark, Anna Patrick Pett, Jan Polanski, Krzysztof Richardson, Laura Litvinukova, Monika Kumasaka, Natsuhiko Qin, Yue Jablonska, Zuzanna Semprich, Claudia I. Mach, Lukas Dabrowska, Monika Richoz, Nathan Bolt, Liam Mamanova, Lira Kapuge, Rakeshlal Barnett, Sam N. Perera, Shani Talavera-López, Carlos Mulas, Ilaria Mahbubani, Krishnaa T. Tuck, Liz Wang, Lu Huang, Margaret M. Prete, Martin Pritchard, Sophie Dark, John Saeb-Parsy, Kourosh Patel, Minal Clatworthy, Menna R. Hübner, Norbert Chowdhury, Rasheda A. Noseda, Michela Teichmann, Sarah A. Nature Article The function of a cell is defined by its intrinsic characteristics and its niche: the tissue microenvironment in which it dwells. Here we combine single-cell and spatial transcriptomics data to discover cellular niches within eight regions of the human heart. We map cells to microanatomical locations and integrate knowledge-based and unsupervised structural annotations. We also profile the cells of the human cardiac conduction system(1). The results revealed their distinctive repertoire of ion channels, G-protein-coupled receptors (GPCRs) and regulatory networks, and implicated FOXP2 in the pacemaker phenotype. We show that the sinoatrial node is compartmentalized, with a core of pacemaker cells, fibroblasts and glial cells supporting glutamatergic signalling. Using a custom CellPhoneDB.org module, we identify trans-synaptic pacemaker cell interactions with glia. We introduce a druggable target prediction tool, drug2cell, which leverages single-cell profiles and drug–target interactions to provide mechanistic insights into the chronotropic effects of drugs, including GLP-1 analogues. In the epicardium, we show enrichment of both IgG(+) and IgA(+) plasma cells forming immune niches that may contribute to infection defence. Overall, we provide new clarity to cardiac electro-anatomy and immunology, and our suite of computational approaches can be applied to other tissues and organs. Nature Publishing Group UK 2023-07-12 2023 /pmc/articles/PMC10371870/ /pubmed/37438528 http://dx.doi.org/10.1038/s41586-023-06311-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kanemaru, Kazumasa Cranley, James Muraro, Daniele Miranda, Antonio M. A. Ho, Siew Yen Wilbrey-Clark, Anna Patrick Pett, Jan Polanski, Krzysztof Richardson, Laura Litvinukova, Monika Kumasaka, Natsuhiko Qin, Yue Jablonska, Zuzanna Semprich, Claudia I. Mach, Lukas Dabrowska, Monika Richoz, Nathan Bolt, Liam Mamanova, Lira Kapuge, Rakeshlal Barnett, Sam N. Perera, Shani Talavera-López, Carlos Mulas, Ilaria Mahbubani, Krishnaa T. Tuck, Liz Wang, Lu Huang, Margaret M. Prete, Martin Pritchard, Sophie Dark, John Saeb-Parsy, Kourosh Patel, Minal Clatworthy, Menna R. Hübner, Norbert Chowdhury, Rasheda A. Noseda, Michela Teichmann, Sarah A. Spatially resolved multiomics of human cardiac niches |
title | Spatially resolved multiomics of human cardiac niches |
title_full | Spatially resolved multiomics of human cardiac niches |
title_fullStr | Spatially resolved multiomics of human cardiac niches |
title_full_unstemmed | Spatially resolved multiomics of human cardiac niches |
title_short | Spatially resolved multiomics of human cardiac niches |
title_sort | spatially resolved multiomics of human cardiac niches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371870/ https://www.ncbi.nlm.nih.gov/pubmed/37438528 http://dx.doi.org/10.1038/s41586-023-06311-1 |
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