ArticleBMC cardiovascular disorders2024
Single-cell RNA sequencing reveals hub genes of myocardial infarction-associated endothelial cells.
Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Single-cell transcriptomics and machine learning identify RNF144B and C5AR1 as immune-related molecular signatures and therapeutic targets in myocardial infarction.Genes & genomics · 2026Article
- Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation.Frontiers in molecular biosciences · 2025Article
- Simultaneous Co-transplantation for Highly Efficient Cell Therapy.Current stem cell research & therapy · 2025Review
- Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction Risk.Nutrients · 2024Article
- Genomic characteristics of adipose-derived stromal cells induced into neurons based on single-cell RNA sequencing.Heliyon · 2024Article
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2 authors at 2 institutions in 1 country.
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Abstract
backgroundMyocardial infarction (MI) is a cardiovascular disease that seriously threatens human health. Dysangiogenesis of endothelial cells (ECs) primarily inhibits recovery from MI, but the specific mechanism remains to be further elucidated.
methodsIn this study, the single-cell RNA-sequencing data from both MI and Sham mice were analyzed by the Seurat Package (3.2.2). The number of ECs in MI and Sham groups were compared by PCA and tSNE algorithm. FindMarkers function of Seurat was used to analyze the DEGs between the MI and Sham groups. Then, the ECs was further clustered into 8 sub-clusters for trajectory analysis. The BEAM was used to analyze the branch point 3 and cluster the results. In addition, the DEGs in the microarray data set of MI and Sham mice were cross-linked, and the cross-linked genes were used to construct PPI networks. The key genes with the highest degree were identified and analyzed for functional enrichment. Finally, this study cultured human umbilical vein endothelial cells (HUVECs), established hypoxia models, and interfered with hub gene expression in cells. The impact of hub genes on the migration and tube formation of hypoxic-induced HUVECs were verified by Wound healing assays and tubule formation experiments.
resultsThe number and proportion of ECs in the MI group were significantly lower than those in the Sham group. Meantime, 225 DEGs were found in ECs between the MI and Sham groups. Through trajectory analysis, EC4 was found to play an important role in MI. Then, by using BEAM to analyze the branch point 3, and clustering the results, a total of 495 genes were found to be highly expressed in cell Fate2 (mainly EC4). In addition, a total of 194 DEGs were identified in Micro array dataset containing both MI and Sham mice. The hub genes (Timp1 and Fn1) with the highest degree were identified. Inhibiting Timp1 and Fn1 expression promoted the migration and tube formation of HUVECs.
conclusionsOur data highlighted the non-linear dynamics of ECs in MI, and provided a foothold for analyzing cardiac homeostasis and pro-angiogenesis in MI.
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