ArticleiScience2024
Decoding aging in the heart via single cell dual omics of non-cardiomyocytes.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Cross-species functional transcriptomic analysis distinguishes conserved aging-niche remodeling from inflammatory fibroblast heterogeneity in cardiac aging and heart failure.Functional & integrative genomics · 2026Article
- Multicellular senescence programs in the aged heart.Journal of molecular and cellular cardiology plus · 2026Review
- A single-cell RNA sequencing dataset of cardiac aging in African Turquoise Killifish.Scientific data · 2026Article
- GPTAnno: Ontology-tree-guided hierarchical cell type annotation based on GPT models for single-cell data.bioRxiv : the preprint server for biology · 2025Article
- Interrogating the regulatory epigenome of cellular senescence.Cellular and molecular life sciences : CMLS · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
To understand heart aging at the single-cell level, we employed single-cell dual omics (scRNA-seq and scATAC-seq) in profiling non-myocytes (non-CMs) from young, middle-aged, and elderly mice. Non-CMs, vital in heart development, physiology, and pathology, are understudied compared to cardiomyocytes. Our analysis revealed aging response heterogeneity and its dynamics over time. Immune cells, notably macrophages and neutrophils, showed significant aging alterations, while endothelial cells displayed moderate changes. We identified distinct aging signatures within the cell type, including differential gene expression, transcription factor activity, and motif variation. Sub-cluster analysis revealed intra-cell type heterogeneity, characterized by diverse aging patterns. The senescence-associated secretory phenotype emerged as a key aging-related phenotype. Moreover, aging significantly influenced cell-cell communication, especially impacting a fibroblast sub-cluster with high expression of ERBB4. This study elucidates the complex cellular and molecular landscape of cardiac aging and offers guidance for potential therapeutic avenues to treat aging-related heart diseases.
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Registered trials
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