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 BV]
卷期号:405 (2): 112715-112715 被引量:28
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
燕不留声发布了新的文献求助10
2秒前
万能图书馆应助mniat采纳,获得10
2秒前
zzjjyy完成签到,获得积分10
3秒前
矫健完成签到,获得积分10
3秒前
成熟的博士给成熟的博士的求助进行了留言
3秒前
科研通AI2S应助美好易采纳,获得10
4秒前
4秒前
淡定的忆南完成签到,获得积分10
4秒前
5秒前
刘运丽发布了新的文献求助10
5秒前
小强强完成签到,获得积分10
5秒前
wanci应助苗条的紫文采纳,获得10
5秒前
研友_VZG7GZ应助诚心的牛青采纳,获得10
6秒前
d叨叨鱼发布了新的文献求助10
6秒前
上官若男应助郑雨采纳,获得10
6秒前
Hello应助迅速的冰蓝采纳,获得100
6秒前
6秒前
7秒前
8秒前
烟台大学研究生完成签到,获得积分20
8秒前
8秒前
8秒前
9秒前
9秒前
呱呱发布了新的文献求助10
9秒前
不想起床完成签到 ,获得积分10
9秒前
ljm发布了新的文献求助10
9秒前
冷水鱼完成签到,获得积分10
10秒前
10秒前
Owen应助千域千寻采纳,获得10
11秒前
张张明霞发布了新的文献求助10
11秒前
非酋本酋发布了新的文献求助10
12秒前
HarrisonChan完成签到,获得积分10
12秒前
西红柿完成签到,获得积分10
13秒前
Luna发布了新的文献求助30
13秒前
科研通AI6.4应助呜啦啦采纳,获得10
13秒前
LIANG发布了新的文献求助10
14秒前
14秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254912
求助须知:如何正确求助?哪些是违规求助? 8876858
关于积分的说明 18743997
捐赠科研通 6935337
什么是DOI,文献DOI怎么找? 3200265
关于科研通互助平台的介绍 2374871
邀请新用户注册赠送积分活动 2175214