Abstract
As a crucial step for human reproduction, embryo implantation is a low-efficiency process. Despite rapid advances in recent years, the molecular mechanism underlying embryo implantation remains poorly understood. Here, we used the mouse as an animal model and generated a single-cell transcriptomic atlas of embryo implantation sites. By analyzing inter-implantation sites of the uterus as control, we were able to identify global gene expression changes associated with embryo implantation in each cell type. Additionally, we predicted signaling interactions between uterine luminal epithelial cells and mural trophectoderm of blastocysts, which represent the key mechanism of embryo implantation. We also predicted signaling interactions between uterine epithelial-stromal crosstalk at implantation sites, which are crucial for post-implantation development. Our data provide a valuable resource for deciphering the molecular mechanism underlying embryo implantation.
Highlights
Embryo implantation is a crucial step for human reproduction
Our study provides a valuable resource for understanding the molecular mechanisms underlying embryo implantation in mice
The implantation site in the uterus can be visualized after an intravenous injection of Chicago Blue B dye solution (Figure 1A)
Summary
Embryo implantation is a crucial step for human reproduction. This is a low-efficiency process and the implantation failure rate per menstrual cycle is approximately 70% [1,2]. Several studies have analyzed global gene expression changes between implantation sites and inter-implantation sites of mouse uterus using high-throughput transcriptomic approaches, providing a useful candidate gene list for further study of embryo implantation [6,7,8]. The limitation of these studies is that the whole uterus is used. In addition to whole uteri, isolated uterine luminal epithelium from implantation sites and inter-implantation sites by enzymes [9] and laser-capture microdissection (LCM) [10] have been subjected to high-throughput transcriptomic analysis. Our study provides a valuable resource for understanding the molecular mechanisms underlying embryo implantation in mice
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