Project description:We develop a non-invasive method for comprehensive characterization of the extracellular RNAs (exRNA) in a single droplet of spent media that was used to culture human in vitro fertilization (IVF) embryos. We generate and provide as a resource the temporal extracellular transcriptome atlas of human preimplantation development (TETA). TETA consists of 245 exRNA sequencing datasets, corresponding to 245 collections of spent media at five developmental stages.
Project description:We used ATLAS-seq to comprehensively map the genomic location of LINE-1 elements belonging to the youngest and potentially polymorphic subfamily (L1HS-Ta). This was performed in single-cells of 2 preimplantation embryos (E3 and E6) as well as from the remaining inner cell mass (denoted T). In brief, single cells were isolated from the inner cell mass of preimplantation embryos by laser drilling and micromanipulation. Whole-genome Multiple Displacement Amplification was performed on each isolated single cells, as well as on the remaining cells of the inner cell mass as a population (samples labelled 'T'). Then we applied ATLAS-seq to map L1HS-Ta retrotransposons. This approach relies on the random mechanical fragmentation of the genomic DNA to ensure high-coverage, ligation of adapter sequences, suppression PCR-amplification of L1HS-Ta element junctions, and Ion Torrent sequencing using single-end 400 bp read chemistry. A notable aspect of ATLAS-seq is that we can obtain both L1 downstream and upstream junctions (3'- and 5'-ATLAS-seq libraries, respectively), for full-length L1 elements.
Project description:Understanding mammalian preimplantation development, particularly in humans, at the proteomic level remains limited. Here, we applied our comprehensive solution of ultrasensitive proteomic technology to measure the proteomic profiles of oocytes and early embryos and identified nearly 8,000 proteins in humans and over 6,300 proteins in mice. We observed distinct proteomic dynamics before and around zygotic genome activation (ZGA) between the two species. Integrative analysis with translatomic data revealed extensive divergence between translation activation and protein accumulation. Multi-omic analysis indicated that ZGA transcripts often contribute to protein accumulation in blastocysts. Using mouse embryos, we identified several transcriptional regulators critical for early development, thereby linking ZGA to the first lineage specification. Furthermore, single-embryo proteomics of poor-quality embryos from over 100 patient couples provided insights into preimplantation development failure. Our study may contribute to reshaping the framework of mammalian preimplantation development and opening avenues for addressing human infertility.
Project description:Evaluation of the transcriptomic profile of the rabbit embryo along the preimplantation period during in vivo development. Three embryonic stages were used: four cell embryos (H32 post-coïtum); morula (H58 pc) and blastocyst (H90 pc). Keywords: time course rabbit embryo 18 samples