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Decoding Aging in the Heart via Single Cell Dual Omics of Non-Cardiomyocytes (scRNA-Seq)

GSE277700 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2024/11/01 Platform GPL19057
Summary
(scRNA and scATAC) 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 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 with high expression of Erbb4. This study elucidates the complex cellular and molecular landscape of cardiac aging in non-CMs, highlighting their importance in cardiac aging and offering guidance for future potential therapeutic avenues to treat aging-related heart diseases.
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Direct links to NCBI, no account and no request form: the whole study as GSE277700_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1163382 and SRA study SRP533902. Searching any of these in the dataset finder brings you back here.

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