Abstract
The structure and function of the circulatory system, including the heart, have undergone substantial changes with the vertebrate evolution. Although the basic function of the heart is to pump blood through the body, its size, shape, speed, regeneration capacity, etc. vary considerably across species. Here, we address the differences among vertebrate hearts using a single-cell transcriptomics approach. Published datasets of macaque (Macaca fascicularis), mouse, and zebrafish hearts were integrated and compared to the human heart as a reference. While the three mammalian hearts integrated well, the zebrafish heart showed very little overlap with the other species. Our analysis revealed a mouse-specific cell subpopulation of ventricular cardiomyocytes (CM), represented by strikingly different expression patterns of specific genes related to high-energy metabolism. Interestingly, the observed differences between mouse and human CM coincided with actual biological differences between the two species. Smooth muscle and endothelial cells (EC) exhibited species-specific differences in clustering and gene expression, respectively, which we attribute to the tissues selected for sequencing, given different focuses of the original studies. Finally, we compared human and zebrafish heart-specific fibroblasts (FB) and identified a distinctively high expression of genes associated with heart regeneration following injury in zebrafish. Together, our results show that integration of numerous datasets of different species and different sequencing technologies is feasible and that this approach can identify species-specific differences and similarities in the heart.
| Original language | English |
|---|---|
| Journal | Mammalian Genome |
| Volume | 34 |
| Issue number | 2 |
| Pages (from-to) | 276-284 |
| Number of pages | 9 |
| ISSN | 0938-8990 |
| DOIs | |
| Publication status | Published - 06.2023 |
Funding
Open Access funding enabled and organized by Projekt DEAL. M.S. is DZHK principal investigator and is supported by grants from the Deutsche Forschungsgemeinschaft (DFG) (Grant No. SP1532/3-2,SP1532/4-1 and SP1532/5-1), the Max Planck Society and the Deutsches Zentrum für Luft- und Raumfahrt (Grant No. DLR 01GM1925). J.P. is supported by a research grant from the University of Lübeck, Germany (Grant No. J14-2021).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Research Area: Medical Genetics
DFG Research Classification Scheme
- 2.22-03 Human Genetics
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