ArticleNature cell biology2018
Scale-invariant patterning by size-dependent inhibition of Nodal signalling.
Article in Nature cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Mitotic Cdc42 waves encode PI(3,4)PScience advances · 2026Article
- Tissue rigidity phase transition shapes morphogen gradients.Nature cell biology · 2026Article
- Measuring morphogen transport over multiple spatial scales in live zebrafish embryos.Nature communications · 2026Article
- Position-dependent feedback drives scaling and robustness of morphogen gradients.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Sulfatase modifying factors control the timing of zebrafish convergence and extension morphogenesis.Nature communications · 2026Article
- Embryonic scaling: morphogen gradients, size sensing, and scaler genes.Frontiers in cell and developmental biology · 2026Review
- Cell type-independent timekeeping gene modules enable embryonic stage prediction in zebrafish.bioRxiv : the preprint server for biology · 2025Article
- Sulfatase modifying factors control the timing of zebrafish convergence and extension morphogenesis.bioRxiv : the preprint server for biology · 2025Article
- Size-dependent temporal decoupling of morphogenesis and transcriptional programs in pseudoembryos.Science advances · 2025Article
- Optimized protocols for generating half-sized embryos from separated first two blastomeres in green sea urchin andFrontiers in cell and developmental biology · 2025Article
- Spinal cord elongation enables proportional regulation of the zebrafish posterior body.Development (Cambridge, England) · 2025Article
- Stable developmental patterns of gene expression without morphogen gradients.PLoS computational biology · 2024Article
- Scale invariance in early embryonic development.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis.PLoS computational biology · 2024Article
- Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024Review
- Precise and scalable self-organization in mammalian pseudo-embryos.Nature structural & molecular biology · 2024Article
- Scale invariance in early embryonic development.ArXiv · 2023Article
- Maintenance of appropriate size scaling of the C. elegans pharynx by YAP-1.Nature communications · 2023Article
- Synthetic developmental biology: New tools to deconstruct and rebuild developmental systems.Seminars in cell & developmental biology · 2023Review
- Quantitative Experimental Embryology: A Modern Classical Approach.Journal of developmental biology · 2022Review
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8 authors.
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Abstract
Individuals can vary substantially in size, but the proportions of their body plans are often maintained. We generated smaller zebrafish by removing 30% of their cells at the blastula stages and found that these embryos developed into normally patterned individuals. Strikingly, the proportions of all germ layers adjusted to the new embryo size within 2 hours after cell removal. As Nodal-Lefty signalling controls germ-layer patterning, we performed a computational screen for scale-invariant models of this activator-inhibitor system. This analysis predicted that the concentration of the highly diffusive inhibitor Lefty increases in smaller embryos, leading to a decreased Nodal activity range and contracted germ-layer dimensions. In vivo studies confirmed that Lefty concentration increased in smaller embryos, and embryos with reduced Lefty levels or with diffusion-hindered Lefty failed to scale their tissue proportions. These results reveal that size-dependent inhibition of Nodal signalling allows scale-invariant patterning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.