A Population-Scale Single-Cell Atlas of the Human Heart Reveals Cellular Remodeling and Cell-Cell Communication in Aging and Cardiac Disease
Gong, Z.; Li, M.; Ang, K. S.; Zhao, X.; Ramachandra, C. J.; Wang, X.; Hausenloy, D. J.; Wang, Y.; Chen, Y.; Chen, J.
Show abstract
Previous single-cell and single-nucleus heart atlases, often limited by small sample sizes, lack the statistical power needed for phenotype association analysis, particularly for cardiovascular diseases and cardiac aging. To address this, we integrated data from 436 samples across 12 single-cell studies, harmonized the corresponding sample metadata, and constructed a comprehensive heart atlas comprising 355,762 cells and 1,436,719 nuclei. Consensus annotation identified 10 broad cell types and 54 fine-grained subsets. Associating gene expression patterns and cell type proportions with phenotypic data, we identified NRG1-expressing endocardial cells linked to multiple cardiac diseases and found that interferon (IFN) response signatures mark aging in multiple heart cell types. Importantly, we also developed PopComm, a novel computational method for inferring ligand-receptor (LR) interactions from population-scale single-cell data and quantifying interaction strength for individual samples. Using PopComm, we revealed a close association between the IFN response state and altered cell-cell communication during cardiac aging.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Human brain cell-type-specific aging clocks based on single-nuclei transcriptomics 96%
- Heterogeneous metabolomic aging across the same age and prediction of health outcome 94%
- Gompertz law based biological age (GOLD BioAge): a simple and practical measurement of biological aging to capture morbidity and mortality risks 93%
Similar papers in this journal
Similar papers in this journal
- Spatiotemporal analysis of gene expression in the human dentate gyrus reveals age-associated changes in cellular maturation and neuroinflammation 96%
- Transcriptional profile of the rat cardiovascular system at single cell resolution 95%
- Pervasive nuclear envelope ruptures precede ECM signaling and disease onset without activating cGAS-STING in Lamin-cardiomyopathy mice 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.