1. Single-cell RNA sequencing reveals the gene expression profile and cellular communication in human fetal heart development.
- Author
-
Hou X, Si X, Xu J, Chen X, Tang Y, Dai Y, and Wu F
- Subjects
- Humans, Sequence Analysis, RNA, Fetal Heart metabolism, Fetal Heart embryology, Gene Expression Regulation, Developmental, Myocytes, Cardiac metabolism, Myocytes, Cardiac cytology, Signal Transduction genetics, Cell Differentiation genetics, Gene Expression Profiling, Gestational Age, Single-Cell Analysis, Cell Communication genetics, Transcriptome genetics
- Abstract
The heart is the central organ of the circulatory system, and its proper development is vital to maintain human life. As fetal heart development is complex and poorly understood, we use single-cell RNA sequencing to profile the gene expression landscapes of human fetal hearts from the four-time points: 8, 10, 11, 17 gestational weeks (GW8, GW10, GW11, GW17), and identified 11 major types of cells: erythroid cells, fibroblasts, heart endothelial cells, ventricular cardiomyocytes, atrial cardiomyocytes, macrophage, DCs, smooth muscle, pericytes, neural cells, schwann cells. In addition, we identified a series of differentially expressed genes and signaling pathways in each cell type between different gestational weeks. Notably, we found that ANNEXIN, MIF, PTN, GRN signalling pathways were simple and fewer intercellular connections in GW8, however, they were significantly more complex and had more intercellular communication in GW10, GW11, and GW17. Notably, the interaction strength of OSM signalling pathways was gradually decreased during this period of time (from GW8 to GW17). Together, in this study, we presented a comprehensive and clear description of the differentiation processes of all the main cell types in the human fetal hearts, which may provide information and reference data for heart regeneration and heart disease treatment., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2024. Published by Elsevier Inc.)
- Published
- 2024
- Full Text
- View/download PDF