Gene expression pattern of trophoblast-specific transcription factors in trophectoderm by analysis of single-cell RNA-seq data of human blastocyst

被引:0
作者
Yajun Liu
Yi Zhang
Shiwen Li
Jinquan Cui
机构
[1] The Second Affiliated Hospital of Zhengzhou University,Department of Obstetrics and Gynecology
[2] Zhengzhou University,Academy of Medical Sciences of Zhengzhou University Translational Medicine Platform
来源
Functional & Integrative Genomics | 2021年 / 21卷
关键词
Placenta; Single-cell RNA-seq; Transcription factor; Trophectoderm;
D O I
暂无
中图分类号
学科分类号
摘要
The dysfunction of placenta development is correlated to the defects of pregnancy and fetal growth. The detailed molecular mechanism of placenta development is not identified in humans due to the lack of material in vivo. Trophoblast (TB) lineage derived from human embryonic stem cells (hESCs) induced by bone morphogenetic protein 4 (BMP4) has been applied as a model for studying TB lineage specification in vitro. With the development of single-cell sequencing technology, it became possible to detect the transcriptome of the post-implantation embryo at unprecedented precision. In this study, we reanalyzed single-cell RNA-seq of post-implantation embryos derived from two separate groups and identified different subtypes of trophoblast cells and their marker, respectively. At the same time, we focused on the gene expression patterns of trophoblast-specific transcription factors in different models. Our analysis sheds new light on the transcription regulation mechanism of trophoblast differentiation at the early stage of pregnancy establishment in human.
引用
收藏
页码:205 / 214
页数:9
相关论文
共 178 条
[1]  
Artus J(2014)A close look at the mammalian blastocyst: epiblast and primitive endoderm formation Cell Mol Life Sci 71 3327-3338
[2]  
Chazaud C(2015)Defining the three cell lineages of the human blastocyst by single-cell RNA-seq Development 142 3151-3165
[3]  
Blakeley P(2016)Near-optimal probabilistic RNA-seq quantification Nature Biotechnology 34 525-527
[4]  
Fogarty NME(2016)Lineage specification in the mouse pre-implantation embryo Development 143 1063-1074
[5]  
del Valle I(2019)Unveiling the gene regulatory landscape in diseases through the identification of DNase I-hypersensitive sites (Review) Biomedical Reports 11 87-97
[6]  
Wamaitha SE(2020)Transcriptome sequencing profiles of cervical cancer tissues and SiHa cells Funct Integr Genomics 20 211-221
[7]  
Hu TX(2018)The TFAP2C-Regulated OCT4 Naive Enhancer Is Involved in Human Germline Formation Cell Reports 25 3591-3602.e5
[8]  
Elder K(2017)Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data sdata 4 170151-9
[9]  
Snell P(2020)Image quality guided smart rotation improves coverage in microscopy Nat Commun 11 1-E3891
[10]  
Christie L(2017)Deciphering transcriptional regulation in human embryonic stem cells specified towards a trophoblast differentiation in both normal development and disease PNAS 113 E3882-12