GSE109555
Reconstituting the transcriptome and DNA methylome landscapes of human implantation
Implantation is a milestone event during mammalian embryogenesis. Implantation failure is a nonnegligible cause of human early pregnancy loss. Due to the extreme difficulty of obtaining in vivo human early post-implantation embryos, it remains elusive how the gene regulatory network and epigenetic mechanisms control human embryo implantation. Here, combining an in vitro culture system for human post-implantation development and single-cell omics sequencing technologies, over 8,000 individual cells from 65 human peri-implantation embryos were systematically analyzed. Unsupervised dimensionality reduction and clustering algorithm of the transcriptome data show stepwise implantation routes for the epiblast (EPI), primitive endoderm (PE), and trophectoderm (TE) 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. Surprisingly, by the single-cell Trio-Seq (scTrio-Seq) analysis, the genome re-methylation of PE lineage was shown to be much slower than those of both EPI and TE lineages during implantation process, indicating distinct DNA methylome re-establishment features between EPI and PE although both of which were derived from inner cell mass (ICM). Collectively, our work paves the way for understanding the complex molecular mechanisms that regulate human embryo implantation, offering new insights and future efforts in early embryonic development and reproductive medicine. Overall design: Single cell transcriptome profiles of human post-implantation embryos were generated by next generation sequencing using Illumina HiSeq 4000. And the transcriptome part of the single-cell Trio-seq2 were sequenced on the platform of Illumina HiSeq 4000 as well. Please note that the *txt files (linked to each sample records) provide the barcode sequence and corrsponding samples. For example, the file 'ha_170710A.txt' includes the barcode sequence and sample names for the 'ha_170710A' sample.