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Precise control and maintenance of population size is fundamental for organismal development and homeostasis. The three cell types of the mammalian blastocyst are generated in precise proportions over a short time, suggesting a mechanism to ensure a reproducible outcome. We developed a minimal mathematical model demonstrating growth factor signaling is sufficient to guarantee this robustness and which anticipates an embryo's response to perturbations in lineage composition. Addition of lineage-restricted cells both in vivo and in silico, causes a shift of the fate of progenitors away from the supernumerary cell type, while eliminating cells using laser ablation biases the specification of progenitors towards the targeted cell type. Finally, FGF4 couples fate decisions to lineage composition through changes in local growth factor concentration, providing a basis for the regulative abilities of the early mammalian embryo whereby fate decisions are coordinated at the population level to robustly generate tissues in the right proportions.

Precise control and maintenance of the size of cell populations is fundamental for organismal development and homeostasis. The three cell types that comprise the mammalian blastocyststage embryo are generated in precise proportions and over a short time, suggesting a size control mechanism ensures a reproducible outcome. Guided by experimental observations, we developed a minimal mathematical model that shows growth factor signaling is sufficient to guarantee this robustness. The model anticipates, without additional parameter fitting, the response of the embryo to perturbations in its lineage composition. We experimentally added lineage-restricted cells to the epiblast both in vivo and in silico, which resulted in a shift of the fate of progenitors away from the supernumerary cell type, while eliminating cells using laser ablation biased the specification of progenitors towards the targeted cell type. Finally, we show that FGF4 couples cell fate decisions to lineage composition through changes in local concentration of the growth factor. Our results provide a basis for the regulative abilities of the mammalian embryo and reveal how, in a self-organizing system, individual cell fate decisions are coordinated at the population level to robustly generate tissues in the right proportions.

Studies in various tissues have revealed a central role of metabolic pathways in regulating adult stem cell function in tissue regeneration and tumor initiation. The unique metabolic dependences or preferences of adult stem cells, therefore, are emerging as a new category of therapeutic target. Recently, advanced methods including high-resolution metabolomics, proteomics, and transcriptomics have been developed to address the growing interest in stem cell metabolism. A practical framework integrating the omics analyses is needed to systematically perform metabolic characterization in a cell-type-specific manner. Here, we leverage recent advances in transcriptomics and proteomics research to identify cell-type-specific metabolic features by reconstructing cell identity using genes and the encoded enzymes involved in major metabolic pathways. We provide protocols for cell isolation, transcriptome and proteome analyses, and metabolite profiling and measurement. The workflow for mapping cell-type-specific metabolic signatures presented here, although initially developed for intestinal crypt cells, can be easily implemented for cell populations in other tissues, and is highly compatible with most public datasets.

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