ArticleAging2023
Integrating the characteristic genes of macrophage pseudotime analysis in single-cell RNA-seq to construct a prediction model of atherosclerosis.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 11 citations in OpenAlex.
- Single-Cell RNA Sequencing Reveals Disrupted Stromal-Epithelial Crosstalk Impairs Gut Barrier in Depression.Brain and behavior · 2026Article
- Lipid-Laden M1-like Macrophages of Familial Hypercholesterolemia Patients Are Characterized by Increased Interleukin-1β Secretion and ReducedCurrent issues in molecular biology · 2026Article
- Exploring immune-inflammatory cross-talk in atherosclerosis using AI-enhanced multi-omics approaches.Clinical and experimental medicine · 2026Article
- Role of dual specificity phosphatase 1 in influencing inflammatory pathways in macrophages modulated byFrontiers in immunology · 2026Article
- Single-Cell Transcriptomics Reveals Dynamic Cellular Interactions and Molecular Mechanisms in Myocardial Infarction Recovery.International journal of genomics · 2026Article
- Single-cell and bulk transcriptome analyses revealed the role of macrophage cholesterol metabolism in atherosclerosis.Lipids in health and disease · 2025Article
- Role of Dual Specificity Phosphatase 1 (DUSP1) in influencing inflammatory pathways in macrophages modulated bybioRxiv : the preprint server for biology · 2025Article
- Modulating immune-stem cell crosstalk enables robust bone regeneration via tuning compositions of macroporous scaffolds.NPJ Regenerative medicine · 2025Article
- Single-cell RNA-seq reveals a repair pattern in cystic lesions in steroid induced osteonecrosis of the femoral head.Frontiers in immunology · 2025Article
- Epithelial and immune transcriptomic characteristics and possible regulatory mechanisms in asthma exacerbation: insights from integrated studies.Frontiers in immunology · 2025Article
- Single-cell analysis identified key macrophage subpopulations associated with atherosclerosis.Open medicine (Warsaw, Poland) · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
backgroundMacrophages play an important role in the occurrence and development of atherosclerosis. However, few existing studies have deliberately analyzed the changes in characteristic genes in the process of macrophage phenotype transformation.
methodCarotid atherosclerotic plaque single-cell RNA (scRNA) sequencing data were analyzed to define the cells involved and determine their transcriptomic characteristics. KEGG enrichment analysis, CIBERSORT, ESTIMATE, support vector machine (SVM), random forest (RF), and weighted correlation network analysis (WGCNA) were applied to bulk sequencing data. All data were downloaded from Gene Expression Omnibus (GEO).
resultNine cell clusters were identified. M1 macrophages, M2 macrophages, and M2/M1 macrophages were identified as three clusters within the macrophages. According to pseudotime analysis, M2/M1 macrophages and M2 macrophages can be transformed into M1 macrophages. The ROC curve values of the six genes in the test group were statistically significant (AUC (IL1RN): 0.899, 95% CI: 0.764-0.990; AUC (NRP1): 0.817, 95% CI: 0.620-0.971; AUC (TAGLN): 0.846, 95% CI: 0.678-0.971; AUC (SPARCL1): 0.825, 95% CI: 0.620-0.988; AUC (EMP2): 0.808, 95% CI: 0.630-0.947; AUC (ACTA2): 0.784, 95% CI: 0.591-0.938). The atherosclerosis prediction model showed significant statistical significance in both the train group (AUC: 0.909, 95% CI: 0.842-0.967) and the test group (AUC: 0.812, 95% CI: 0.630-0.966).
conclusionsIL1RN
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