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Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients
- Source :
- Computational and Mathematical Methods in Medicine. 2022:1-15
- Publication Year :
- 2022
- Publisher :
- Hindawi Limited, 2022.
-
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.
- 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
Subjects
Details
- ISSN :
- 17486718 and 1748670X
- Volume :
- 2022
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....ddaeab3d07c1db2739cd915c7c7f5b58