Cell Stem Cell
Volume 29, Issue 6, 2 June 2022, Pages 962-972.e4
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Short Article
In vitro attachment and symmetry breaking of a human embryo model assembled from primed embryonic stem cells

https://doi.org/10.1016/j.stem.2022.05.001Get rights and content
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Highlights

  • Assembloid of intra- and xEM cells as a strategy to model the human post-attached embryo

  • hESCs on soft substrates exposed to BMP4 produce cells with mixed xEM signatures

  • Co-culture of intra- and xEM cells forms embryo-like structures and attaches in vitro

  • xEM-like cells deliver signals that break the anteroposterior symmetry in the epiblast

Summary

Our knowledge of the molecular mechanisms surrounding human embryo implantation and gastrulation is lacking, largely due to technical and ethical limitations of experimenting with human embryos. Alternatives to human embryos have been reported, in which 3D clusters of embryonic stem cells are differentiated in a stepwise manner to model aspects of human embryogenesis. Yet it remains challenging to model the events past attachment. We propose a strategy of modeling the post-attachment human embryo by assembling a pre-formed polarized epithelial epiblast and extraembryonic cells, allowing them to self-organize into a structure that mimics the dish-attached human embryo. The model attaches in vitro and, in the absence of exogenous morphogens, breaks anteroposterior symmetry, giving rise to early gastrulation cell types. Our assembloid approach enables in a modular way to upgrade or exchange extraembryonic tissues to access more advanced stages of post-attachment development while complying with ethical policies.

Keywords

embryoid
gastrulation
embryo models
implantation
synthetic embryogenesis
BMP4 differentiation
trophoblast
amnion
extraembryonic mesoderm
symmetry breaking
in vitro attachment

Data and code availability

ScRNA-seq data have been deposited at GEO and are publicly available as of the date of publication. Accession numbers are listed in the key resources table. Scaled and normalized quality processed data, with cluster annotations, have also been uploaded to GEO. The codes used to process data were based off Scanpy tutorials available online. Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.

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