Single-cell and spatial transcriptomics reveal somitogenesis in gastruloids.
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IF: 69.504
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Cited by: 231
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Abstract

Gastruloids are three-dimensional aggregates of embryonic stem cells that display key features of mammalian development after implantation, including germ-layer specification and axial organization1-3. To date, the expression pattern of only a small number of genes in gastruloids has been explored with microscopy, and the extent to which genome-wide expression patterns in gastruloids mimic those in embryos is unclear. Here we compare mouse gastruloids with mouse embryos using single-cell RNA sequencing and spatial transcriptomics. We identify various embryonic cell types that were not previously known to be present in gastruloids, and show that key regulators of somitogenesis are expressed similarly between embryos and gastruloids. Using live imaging, we show that the somitogenesis clock is active in gastruloids and has dynamics that resemble those in vivo. Because gastruloids can be grown in large quantities, we performed a small screen that revealed how reduced FGF signalling induces a short-tail phenotype in embryos. Finally, we demonstrate that embedding in Matrigel induces gastruloids to generate somites with the correct rostral-caudal patterning, which appear sequentially in an anterior-to-posterior direction over time. This study thus shows the power of gastruloids as a model system for exploring development and somitogenesis in vitro in a high-throughput manner.

Keywords

Spatial Transcriptomics

MeSH terms

Animals
Collagen
Drug Combinations
Embryo, Mammalian
Embryonic Development
Female
Gastrula
Gene Expression Regulation, Developmental
Laminin
Male
Mice
Mouse Embryonic Stem Cells
Organoids
Proteoglycans
RNA-Seq
Single-Cell Analysis
Somites
Time Factors
Transcriptome

Authors

van den Brink, Susanne C
Alemany, Anna
van Batenburg, Vincent
Moris, Naomi
Blotenburg, Marloes
Vivié, Judith
Baillie-Johnson, Peter
Nichols, Jennifer
Sonnen, Katharina F
Martinez Arias, Alfonso
van Oudenaarden, Alexander

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