ArticleNature communications2022
Precision of morphogen gradients in neural tube development.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 37 citations in OpenAlex.
- MorphoGrad: A MATLAB toolbox for simulating steady-state morphogen gradients under cell-to-cell variability.STAR protocols · 2026Article
- How nature discovers rare Turing islands: Exploration by common limit cycles.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Lights up on the embryonic dance: tools and applications of optogenetics in developmental biology.Genes & development · 2026Review
- Pluripotent stem cells-based neural organoids for modelling human brain development and diseases.Cell & bioscience · 2025Review
- Coping with uncertainty: Challenges for robust pattern formation in dynamical tissues.Seminars in cell & developmental biology · 2025Review
- Geometric influences on the regional organization of the mammalian brain.bioRxiv : the preprint server for biology · 2025Article
- The aging hematopoietic stem cell niche: a mini review.Frontiers in hematology · 2025Article
- Assessing the precision of morphogen gradients in neural tube development.Nature communications · 2024Article
- Reply to: Assessing the precision of morphogen gradients in neural tube development.Nature communications · 2024Article
- Article
- Early radial positional information in the cochlea is optimized by a precise linear BMP gradient and enhanced by SOX2.Scientific reports · 2023Article
- The impact of cell size on morphogen gradient precision.Development (Cambridge, England) · 2023Article
- Article
- Gradient to sectioning CUBE workflow for the generation and imaging of organoids with localized differentiation.Communications biology · 2023Article
- Review
- Mechanisms of robustness in gene regulatory networks involved in neural development.Frontiers in molecular neuroscience · 2023Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Morphogen gradients encode positional information during development. How high patterning precision is achieved despite natural variation in both the morphogen gradients and in the readout process, is still largely elusive. Here, we show that the positional error of gradients in the mouse neural tube has previously been overestimated, and that the reported accuracy of the central progenitor domain boundaries in the mouse neural tube can be achieved with a single gradient, rather than requiring the simultaneous readout of opposing gradients. Consistently and independently, numerical simulations based on measured molecular noise levels likewise result in lower gradient variabilities than reported. Finally, we show that the patterning mechanism yields progenitor cell numbers with even greater precision than boundary positions, as gradient amplitude changes do not affect interior progenitor domain sizes. We conclude that single gradients can yield the observed developmental precision, which provides prospects for tissue engineering.
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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.