HCA Data Explorer

Spatially resolved multiomics of human cardiac niches

Access Granted
Updated November 29, 2023

A cell’s function is defined by its intrinsic characteristics and its niche: the tissue microenvironment in which it dwells. Here, we combine single-cell and spatial transcriptomic data to discover cellular niches within eight regions of the human heart. We map cells to micro-anatomic locations and integrate knowledge-based and unsupervised structural annotations. For the first time, we profile the cells of the human cardiac conduction system, revealing their distinctive repertoire of ion channels, G-protein coupled receptors, and cell interactions using a custom CellPhoneDB.org module. We show that the sinoatrial node is compartmentalised, with a core of pacemaker cells, fibroblasts and glial cells supporting paracrine glutamatergic signalling. We introduce a druggable target prediction tool, drug2cell, which leverages single-cell profiles and drug-target interactions, providing unexpected 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 which may contribute to infection defence. We define a ventricular myocardial-stress niche enriched for activated fibroblasts and stressed cardiomyocytes, cell states that are expanded in cardiomyopathies. Overall, we provide new clarity to cardiac electro-anatomy and immunology, and our suite of computational approaches can be deployed to other tissues and organs.

Michela NosedaNational Heart and Lung Institute, Imperial College London, London, UK
Sarah TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
Kazumasa Kanemaru1
James Cranley1
Daniele Muraro1
Antonio M.A. Miranda2
Jan Patrick Pett1
Monika Litvinukova1
Natsuhiko Kumasaka1
Siew Yen Ho3
Krzysztof Polanski1
Laura Richardson1
Lukas Mach2
Monika Dabrowska1
Nathan Richoz4
Sam Barnett2
Shani Perera1
Anna Wilbrey-Clark1
Carlos Talavera-López5
Ilaria Mulas1
Krishnaa Mahbubani6
Liam Bolt1
Lira Mamanova1
Liz Tuck1
Lu Wang7
Margaret Huang6
Martin Prete1
Sophie Pritchard1
John Dark7
Kourosh Saeb-Parsy6
Minal Patel1
Menna Clatworthy1
Norbert Hübner8
Rasheda Chowdhury2
Michela Noseda2
Sarah Teichmann1
1Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
2National Heart and Lung Institute, Imperial College London, London, UK
3Cardiac Morphology Unit, Royal Brompton Hospital and Imperial College London, UK
4Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology
5Computational Health Centre, Helmholtz Munich, Germany
6Department of Surgery, University of Cambridge, and Cambridge Biorepository for Translational Medicine, NIHR Cambridge Biomedical Centre, Cambridge, UK
7Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
8Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
Wei Kheng Teh

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/925f9a4c-cac0-444a-ad2c-612656ab3a85

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://heartcellatlas.org
None

Atlas

None

Analysis Portals

CZ CELLxGENECZ CELLxGENE

Project Label

HumanCardiacNiches

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

heart

Organ Part

8 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

Unspecified

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

3 library construction methods

Nucleic Acid Source

2 nucleic acid sources

Paired End

false, true

Analysis Protocol

Visium_processed, multiome_ATAC_processed, multiome_rna_processed, raw_matrix

File Format

5 file formats

Cell Count Estimate

355.8k

Donor Count

15
.ndpi1 file(s).ome.tif41 file(s)fastq.gz544 file(s)h5ad13 file(s)xlsx1 file(s)