Single-cell RNA sequencing analysis provides novel insights into the role of apoptosis-related genes in muscle aging

• DOI: 10.1016/j.archger.2024.105499
• Publication Date: 2024-05-27T16:25:17Z
• Authors: Hua Guo; Yunyun Zhang; Xin Xiang; Na Tang; Wei Gao; Xiaochuan Cui
• Keywords: KEGG; Biological pathway

This study employed a comprehensive single-cell analysis approach to explore the role of cell apoptosis-related genes in muscle aging. The RNA sequencing data from GSE143704 dataset were used identify distinct clusters and assess gene expression patterns related apoptosis activation. "limma" package was hub genes, after which we performed Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) relevant pathways. Additionally, Set Enrichment Analysis(GSEA) Variation Analysis (GSVA) uncover biological Receiver Operating Characteristic Curve (ROC) evaluate diagnostic value genes. Single-sample (ssGSEA) analyze immune infiltration levels. Single-cell aging patients allowed identification various types, including epithelial cells, adipocytes, tissue-resident macrophages. By conducting differential that intersected active nonactive apoptosis, as well comparing elderly young samples, total 22 identified (p<0.05). have discriminative ability potential biomarkers for diagnosing enrichment indicated these closely associated with diverse pathways, "response UV-B" "extracellular matrix organization" Furthermore, GSEA GSVA multiple pathways emerged—for example, "complement coagulation cascades", "proteasome", "insulin signaling pathway", "MAPK pathway". revealed positive correlations between most cells. Our involved their value. These findings offer novel perspective on pathogenesis present targets therapeutic interventions.