1. Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients
- Author
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Jiamin Zhou, Tong Wen, Qing Li, Zhixin Chen, Xiaoping Peng, Chunying Wei, Yunfeng Wei, Jingtian Peng, and Wei Zhang
- Subjects
CD4-Positive T-Lymphocytes ,Genetic Markers ,Stochastic Processes ,Article Subject ,General Immunology and Microbiology ,Gene Expression Profiling ,Applied Mathematics ,Myocardial Infarction ,Computational Biology ,General Medicine ,Prognosis ,General Biochemistry, Genetics and Molecular Biology ,Gene Ontology ,Modeling and Simulation ,Humans ,Gene Regulatory Networks ,Mast Cells ,RNA-Seq ,Chemokines ,Single-Cell Analysis ,Immunologic Memory - Abstract
Objectives. Myocardial infarction (MI) is a common cardiovascular disease. Histopathology is a main molecular characteristic of MI, but often, differences between various cell subsets have been neglected. Under this premise, MI-related molecular biomarkers were screened using single-cell sequencing. Methods. This work examined immune cell abundance in normal and MI samples from GSE109048 and determined differences in the activated mast cells and activated CD4 memory T cells, resting mast cells. Weighted gene coexpression network analysis (WGCNA) demonstrated that activated CD4 memory T cells were the most closely related to the turquoise module, and 10 hub genes were screened. Single-cell sequencing data (scRNA-seq) of MI were examined. We used t -distributed stochastic neighbor embedding ( t -SNE) for cell clustering. Results. We obtained 8 cell subpopulations, each of which had different marker genes. 7 out of the 10 hub genes were detected by single-cell sequencing analysis. The expression quantity and proportion of the 7 genes were different in 8 cell clusters. Conclusion. In general, our study revealed the immune characteristics and determined 7 prognostic markers for MI at the single-cell level, providing a new understanding of the molecular characteristics and mechanism of MI.
- Published
- 2022