Cell DiscoveryDevelopmental BiologyPeer-reviewed journal article
Generation of human blastocyst-like structures from pluripotent stem cells
Yong FaniD, Zheying Min, Samhan M. AlsolamiiD, Zhenglai Ma, Enbo ZhangiD, Wei CheniD, Ke Zhong, Wendi PeiiD, Xiangjin KangiD, Pu-Yao Zhang, Yongliang WangiD, Yingying ZhangiD, Linfeng Zhan, Haiying Zhu, Chenrui AniD, Rong LiiD, Jie QiaoiD, Tao TaniD, Mo LiiD, Yang YuiD
Abstract
Human blastocysts are comprised of the first three cell lineages of the embryo: trophectoderm, epiblast, and primitive endoderm, all of which are essential for early development and organ formation1,2. However, due to ethical concerns and restricted access to human blastocysts, we lack a comprehensive understanding of early human embryogenesis. To bridge this knowledge gap, we need a reliable model system that recapitulates early stages of human embryogenesis. Here we report a [~]three-dimensional (3D), two-step induction protocol for generating blastocyst-like structures (EPS-blastoids) from human extended pluripotent stem (EPS) cells. Morphological and single-cell transcriptomic analyses revealed that EPS-blastoids contain key cell lineages and are transcriptionally similar to human blastocysts. Furthermore, EPS-blastoids also exhibited the developmental potential to undergo post-implantation morphogenesis in vitro to form structures with a cellular composition and transcriptome signature similar to human embryos that had been cultured in vitro for 8 or 10 days. In conclusion, human EPS-blastoids provide a new experimental platform for studying early developmental stages of the human embryo. HighlightsA method for generating human blastoids from EPS cells. Human blastoids resemble blastocysts in terms of morphology and cell lineage composition. Single-cell transcriptomic analyses reveal EPI, PE, and TE cell lineages in human blastoids. Human blastoids mimic in vitro the morphogenetic events of pre- and early post-implantation stages.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: spatial domain detection
- research focus: benchmarking
- approach: experimental assay
- Citations
- 161
- FWCI
- 8.87
- Field percentile
- top 1%
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