Accession PRJCA002390
Title Reconstituting the transcriptome and DNA methylome landscapes of human implantation
Relevance Medical
Data types Whole genome sequencing
Transcriptome or Gene expression
Raw sequence reads
Organisms Homo sapiens
Description Implantation is a milestone event during mammalian embryogenesis. Implantation failure is a considerable cause of early pregnancy loss in humans1. Owing to the difficulty of obtaining human embryos early after implantation in vivo, it remains unclear how the gene regulatory network and epigenetic mechanisms control the implantation process. Here, by combining an in vitro culture system for the development human embryos after implantation and single-cell multi-omics sequencing technologies, more than 8,000 individual cells from 65 human peri-implantation embryos were systematically analysed. Unsupervised dimensionality reduction and clustering algorithms of the transcriptome data show stepwise implantation routes for the epiblast, primitive endoderm and trophectoderm lineages, suggesting robust preparation for the proper establishment of a mother-to-offspring connection during implantation. Female embryos showed initiation of random X chromosome inactivation based on analysis of parental allele-specific expression of X-chromosome-linked genes during implantation. Notably, using single-cell triple omics sequencing analysis, the re-methylation of the genome in cells from the primitive endoderm lineage was shown to be much slower than in cells of both epiblast and trophectoderm lineages during the implantation process, which indicates that there are distinct re-establishment features in the DNA methylome of the epiblast and primitive endoderm-even though both lineages are derived from the inner cell mass. Collectively, our work provides insights into the complex molecular mechanisms that regulate the implantation of human embryos, and helps to advance future efforts to understanding early embryonic development and reproductive medicine.
Sample scope Multiisolate
Release date 2020-03-15
Publication
PubMed ID Article title Journal name DOI Year
31435013
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) 81521002
National Natural Science Foundation of China (NSFC) 31625018
National Natural Science Foundation of China (NSFC) 81730078
Beijing Municipal Science and Technology Commission Z181100001318001
National Basic Research Program of China 2017YFA0102702
National Basic Research Program of China 018YFA0107601
External link
External link Link description
https://github.com/WRui/Post_Implantation github
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE109555 GEO database
https://www.ebi.ac.uk/ega/ EGA acession number:EGAS00001003443
Submitter Fuchou    Tang  (tangfuchou@pku.edu.cn)
Organization Peking University
Submission date 2020-03-15

Project Data

Resource name Description