Single-cell RNA-seq revealed diverse cell types in the mouse placenta at mid-gestation

生物 Wnt信号通路 胎盘 串扰 滋养层 细胞 胎儿 电池类型 细胞生物学 遗传学 信号转导 怀孕 光学 物理
作者
Xiaobo Zhou,Yingchun Xu,Shengnan Ren,Dong Liu,Ningjie Yang,Qian Han,Shuangbo Kong,Haibin Wang,Wenbo Deng,Hongbo Qi,Jinhua Lu
出处
期刊:Experimental Cell Research [Elsevier]
卷期号:405 (2): 112715-112715 被引量:13
标识
DOI:10.1016/j.yexcr.2021.112715
摘要

The mammalian placenta consists of a set of cells to ensure normal placental functions throughout gestation. Dysfunctional placentae are considered as the origin of a series of pregnancy complications. Therefore, it is urgent for detailed information about the molecular recipes of the cell types within the normal placenta. In the past years, gene expression analysis via single-cell RNA-seq (scRNA-seq) offers opportunities to identify new cell types in a variety of organs and tissues. In this study, scRNA-seq was used to explore the cell heterogeneity within the E10.5 mouse placenta and unravel their discrepancies in cell composition and communications. We identified sixteen cell clusters, including some cell clusters that originated from the maternal tissue. Moreover, we traced the developmental trajectories of trophoblasts and Hofbauer-like cells. Further analysis revealed cell connections between the endothelial cells and pericytes, syncytiotrophoblasts, as well as decidual cells. Besides, we highlighted several signaling pathways, such as the EGF, FGF, canonical, and non-canonical WNT signaling pathways, which mediated the potential crosstalk between different cell types within placenta. Our research provides an in-depth understanding of placental development, cellular composition, and communications at the maternal-fetal interface.
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