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Unifying synthetic embryology

Cornwall-Scoones, Jake and Zernicka-Goetz, Magdalena (2021) Unifying synthetic embryology. Developmental Biology, 474 . pp. 1-4. ISSN 0012-1606. doi:10.1016/j.ydbio.2021.03.007. https://resolver.caltech.edu/CaltechAUTHORS:20210322-130659658

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Abstract

During embryonic development, a fertilized egg transitions into a complex organism, whereby diverse cell types are spatially organized into functional tissues. This sequential unfurling of complexity is exemplified perhaps best at gastrulation, where the major axes of the adult are laid down and the principal germ layers are defined in tandem with a dramatic change in morphology (Tam and Behringer, 1997; Arnold and Robertson, 2009). Understanding the mechanisms by which this highly choreographed process plays out demands investigation at different spatial scales (Shahbazi et al., 2019): from the cell-intrinsic gene-regulatory networks that govern cell fate decisions; to the signaling interactions that coordinate divergent fate trajectories across tissues. It requires understanding of how these regulatory processes are coupled to global characteristics including embryonic geometry, patterning, and inter-tissue interactions. Dissecting mechanisms across such scales — and crucially understanding their interactions — requires the capacity to manipulate genes, signals and morphology, a task that has proved challenging particularly for mammalian experimental embryology given the inaccessibility of the conceptus at implantation, a time when many of these important events occur (Hadjantonakis et al., 2020; Shahbazi and Zernicka-Goetz, 2018). Synthetic embryology has risen to this challenge, engineering embryo-like structures — “stembryos” — using stem cells derived from embryos situating cells in both near-native and more foreign contexts, and probing the consequences for patterning and morphogenesis. Given the recent explosion of diversity in stembryo models (Harrison et al., 2017; Rivron et al., 2018; Shao et al., 2017a; Sozen et al., 2018; Van den Brink et al., 2014; Veenvliet et al., 2020; Warmflash et al., 2014; Amadei et al., 2020), this Special Issue reflects on the successes made and the challenges that remain in using in vitro culture platforms to study early mammalian embryogenesis. Here, we offer a perspective on the purpose and utility of synthetic embryology, proposing that focusing efforts on probing fundamental mechanisms of self-organization, spurred via novel bioengineering strategies, can help unify the field towards its shared motivations of understanding natural development and building reliable, translatable experimental models.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.ydbio.2021.03.007DOIArticle
ORCID:
AuthorORCID
Cornwall-Scoones, Jake0000-0002-7435-486X
Zernicka-Goetz, Magdalena0000-0002-7004-2471
Additional Information:© 2021 Published by Elsevier Inc. Available online 20 March 2021. We would like to thank David Glover for critical reading of the manuscript. We acknowledge Jesse Veenvliet in coining the term “stembryo”. Funding: This work was supported by grants from the Wellcome Trust (098287/Z/12/Z), ERC (669198), Leverhulme Trust (RPG-2018-085), Open Philanthropy/Silicon Valley, Weston Havens Foundations and the Shurl and Kay Curci Foundation. Conceptualization: J.C.-S. and M.Z.-G. Writing: J.C.-S. Supervision: M.Z.-G. The authors declare no competing interests.
Funders:
Funding AgencyGrant Number
Wellcome Trust098287/Z/12/Z
European Research Council (ERC)669198
Leverhulme TrustRPG-2018-085
Open PhilanthropyUNSPECIFIED
Weston Havens FoundationUNSPECIFIED
Shurl and Kay Curci FoundationUNSPECIFIED
DOI:10.1016/j.ydbio.2021.03.007
Record Number:CaltechAUTHORS:20210322-130659658
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210322-130659658
Official Citation:Jake Cornwall-Scoones, Magdalena Zernicka-Goetz, Unifying synthetic embryology, Developmental Biology, Volume 474, 2021, Pages 1-4, ISSN 0012-1606, https://doi.org/10.1016/j.ydbio.2021.03.007. (https://www.sciencedirect.com/science/article/pii/S0012160621000695)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108511
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:24 Mar 2021 19:34
Last Modified:12 Apr 2021 21:33

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