ArticleeLife2023
Patterning precision under non-linear morphogen decay and molecular noise.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- MorphoGrad: A MATLAB toolbox for simulating steady-state morphogen gradients under cell-to-cell variability.STAR protocols · 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
- Coping with uncertainty: Challenges for robust pattern formation in dynamical tissues.Seminars in cell & developmental biology · 2025Review
- Dynamic readout of the Hh gradient in theeLife · 2024Article
- Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024Review
- Reply to: Assessing the precision of morphogen gradients in neural tube development.Nature communications · 2024Article
- Collective effects of cell cleavage dynamics.Frontiers in cell and developmental biology · 2024Review
- Article
- Multiscale Asymptotic Analysis Reveals How Cell Growth and Subcellular Compartments Affect Tissue-Scale Hormone Transport.Bulletin of mathematical biology · 2023Article
- The impact of cell size on morphogen gradient precision.Development (Cambridge, England) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Morphogen gradients can instruct cells about their position in a patterned tissue. Non-linear morphogen decay has been suggested to increase gradient precision by reducing the sensitivity to variability in the morphogen source. Here, we use cell-based simulations to quantitatively compare the positional error of gradients for linear and non-linear morphogen decay. While we confirm that non-linear decay reduces the positional error close to the source, the reduction is very small for physiological noise levels. Far from the source, the positional error is much larger for non-linear decay in tissues that pose a flux barrier to the morphogen at the boundary. In light of this new data, a physiological role of morphogen decay dynamics in patterning precision appears unlikely.
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Registered trials
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