Single-Cell Transcriptomics Bioinformatics Study in Cardiac Aging of Primates
Objective:To explore the potential molecular mechanisms of cardiac aging in primates using single-cell transcriptomic data.Methods:The single-cell sequencing datasets CRA002689 and CRA002810 related to"primate cardiac aging"are retrieved from the high-throughput sequencing database Genome Sequence Archive.Cell clustering,annotation,and differential gene analysis are conducted to identify signaling pathways potentially regulating cardiac aging.Results:A total of 220915 cell sequencing data are filtered,including 78546 cells from the young heart group and 142369 from the older heart group.These are clustered into 15 cell subpopulations,with fibroblast cells(Fib)having the highest proportion.The highest number of differential genes is observed in epicardial cells(Epi),while the lowest is in anti-inflammatory macrophage cells(M2).Differentially expressed genes are significantly enriched in pathways such as"supramolecular fiber organization"and"actin filament-based process."Conclusion:Epithelial cells undergo significant changes during cardiac aging and may play an important role in this process.The"supramolecular fiber organization"in epithelial cells and the"actin filament-based process"in fibrocytes are closely related to aging.
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