A combined analysis of bulk RNA-seq and scRNA-seq was performed to investigate the molecular mechanisms associated with the occurrence of myocardial infarction
Zheng Xie,
Huicong Xie,
Chen Xie,
Saichao Yang,
Yun Feng,
Zhaohai Su,
Tao Tang,
Bilong Zhang,
Jiangyong Yang,
Yueting Wang,
Ling Huang,
Hengqing Zhu,
Jun Cao,
Rengui Jiang,
Tian Li,
Weiling Lu
Affiliations
Zheng Xie
Department of General Practice, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Huicong Xie
Department of General Practice, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Chen Xie
Department of General Practice, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Saichao Yang
Department of General Practice, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Yun Feng
Department of General Practice, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Zhaohai Su
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Tao Tang
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Bilong Zhang
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Jiangyong Yang
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Yueting Wang
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Ling Huang
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Hengqing Zhu
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Jun Cao
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Rengui Jiang
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Tian Li
School of Basic Medicine, Fourth Military Medical University
Weiling Lu
Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People’s Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital)
Abstract Background 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. Methods 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. Results 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. Conclusion 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.