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Decoding Aging in the Heart via Single Cell Dual Omics of Non-Cardiomyocytes

Abstract Number:

2673 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Poster 

Participants:

Yiran Song (1), Li Wang (2), Li Qian (3), Jiandong Liu (3)

Institutions:

(1) Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, (2) Medical Research Institute, N/A, (3) The University of North Carolina at Chapel Hill, Chapel Hill, NC

Co-Author(s):

Li Wang  
Medical Research Institute
Li Qian  
The University of North Carolina at Chapel Hill
Jiandong Liu  
The University of North Carolina at Chapel Hill

First Author:

Yiran Song  
Biostatistics, University of North Carolina at Chapel Hill

Presenting Author:

Yiran Song  
N/A

Abstract Text:

To understand heart aging at the single-cell level, we employed single-cell dual omics (scRNA and scATAC) in non-myocytes (non-CMs) from young (3m), middle-aged (12m), and elderly (24m) mice. Non-CMs, vital in heart development, physiology, and pathology, are understudied compared to cardiomyocytes. Our analysis revealed aging response heterogeneity among non-CM cell types. 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 and transcription factor activity, along with motif variation. Sub-cluster analysis revealed intra-cell type heterogeneity, characterized by diverse aging patterns. The senescence-associated secretory phenotype (SASP) emerged as a key aging-related phenotype. Moreover, aging significantly influenced cell-cell communication, especially impacting a fibroblast sub-cluster, Fib.Erbb4. This study elucidates the complex cellular and molecular landscape of cardiac aging in non-CMs, highlighting their importance in heart aging and offering potential therapeutic avenues.

Keywords:

Cardiac Aging|Single-cell Dual omics|Non-myocytes|Aging Heterogeneity|Senescence-Associated Secretory Phenotype (SASP)|Fibroblast Sub-Cluster

Sponsors:

Section on Statistics in Genomics and Genetics

Tracks:

Miscellaneous

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