Single-cell RNA sequencing analysis to characterize cells and gene expression landscapes in atrial septal defect.

ABSTRACT: This study aimed to characterize the cells and gene expression landscape in atrial septal defect (ASD). We performed single-cell RNA sequencing of cells derived from cardiac tissue of an ASD patient. Unsupervised clustering analysis was performed to identify different cell populations, followed by the investigation of the cellular crosstalk by analysing ligand-receptor interactions across cell types. Finally, differences between ASD and normal samples for all cell types were further investigated. An expression matrix of 18,411 genes in 6487 cells was obtained and used in this analysis. Five cell types, including cardiomyocytes, endothelial cells, smooth muscle cells, fibroblasts and macrophages were identified. ASD showed a decreased proportion of cardiomyocytes and an increased proportion

SUBMITTER: Wang Z 

PROVIDER: S-EPMC8505850 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature