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Spatially resolved multiomics of human cardiac niches

Authors

  • K. Kanemaru
  • J. Cranley
  • D. Muraro
  • A.M.A. Miranda
  • S.Y. Ho
  • A. Wilbrey-Clark
  • J. Patrick Pett
  • K. Polanski
  • L. Richardson
  • M. Litvinukova
  • R. Kumasaka
  • Y. Qin
  • Z. Jablonska
  • C.I. Semprich
  • L. Mach
  • M. Dabrowska
  • R. Richoz
  • L. Bolt
  • L. Mamanova
  • R. Kapuge
  • S.N. Barnett
  • S. Perera
  • C. Talavera-López
  • I. Mulas
  • K.T. Mahbubani
  • Liz Tuck
  • Lu Wang
  • M.M. Huang
  • M. Prete
  • S. Pritchard
  • J. Dark
  • K. Saeb-Parsy
  • M. Patel
  • M.R. Clatworthy
  • N. Hübner
  • R.A. Chowdhury
  • M. Noseda
  • S.A. Teichmann

Journal

  • Nature

Citation

  • Nature 619: 801-810

Abstract

  • 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 system1. 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.


DOI

doi:10.1038/s41586-023-06311-1