A combined analysis of bulk RNA-seq and scRNA-seq was performed to investigate the molecular mechanisms associated with the occurrence of myocardial infarction

• Published in: BMC genomics 2024-10, Vol.25 (1), p.921-13, Article 921
• Main Authors: Xie, Zheng, Xie, Huicong, Xie, Chen, Yang, Saichao, Feng, Yun, Su, Zhaohai, Tang, Tao, Zhang, Bilong, Yang, Jiangyong, Wang, Yueting, Huang, Ling, Zhu, Hengqing, Cao, Jun, Jiang, Rengui, Li, Tian, Lu, Weiling
• Format: Article
• Language: English
• Subjects: Animal models; Animals; Apoptosis; Blood; Cell culture; Clustering; Data analysis; Datasets; Endothelial cells; Endothelial Cells - metabolism; Ferroptosis; Fibroblast; Gene expression; Gene Expression Profiling; Gene sequencing; Genes; Heart; Heart attacks; Laboratory animals; Macrophage; Macrophages; Macrophages - metabolism; Mice; Molecular modelling; Monocytes; Mortality; Myocardial infarction; Myocardial Infarction - genetics; Myocardial Infarction - metabolism; Myocardial Infarction - pathology; Principal components analysis; Quality control; Ribonucleic acid; RNA; RNA-Seq; scRNA-seq; Sequence analysis; Sequence Analysis, RNA; Single-Cell Analysis; Single-Cell Gene Expression Analysis; Subgroups; Surgery; Transcriptome; Transcriptomics; Up-regulation
• ISSN: 1471-2164; 1471-2164
• DOI: 10.1186/s12864-024-10813-1

Myocardial infarction (MI) induces complex transcriptional changes across diverse cardiac cell types. Single-cell RNA sequencing (scRNA-seq) provides an unparalleled ability to discern cellular diversity during infarction, yet the veracity of these discoveries necessitates confirmation. This investigation sought to elucidate MI mechanisms by integrating scRNA-seq and bulk RNA-seq data. Publicly available scRNA-seq (GSE136088) and bulk RNA-seq (GSE153485) data from mice MI models were analyzed. Cell types were annotated, and differential expression analysis conducted. Bulk RNA-seq underwent quality control, principal component analysis, and differential expression analysis. In scRNA-seq data, the comparison between MI and sham groups unveiled a reduction in endothelial cell populations, but macrophages and monocytes increased. Within fibroblast subgroups, three distinct categories were discerned, with two exhibiting upregulation in MI. Notably, endothelial cells exhibited an elevated expression of genes associated with apoptosis and ferroptosis. In bulk RNA-seq analysis, distinct patterns emerged when comparing MI and sham groups. Specifically, six genes linked to endothelial ferroptosis exhibited heightened expression in MI group, thereby corroborating the scRNA-seq findings. Moreover, the examination of isolated cardiac macrophages from mice MI model revealed increased expression of Spp1, Col1a2, Col3a1, Ctsd, and Lgals3 compared to sham group, thus substantiating the dysregulation of macrophage apoptosis-related proteins following MI. MI altered the transcriptomic landscapes of cardiac cells with increased expression of apoptotic genes. Moreover, the upregulation of macrophage apoptosis marker was confirmed within MI models. The presence of endothelial cell depletion and ferroptosis in MI has been demonstrated.