FB2026_02 , released June 18, 2026
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Ramezani, A., Britton, S., Zandi, R., Alber, M., Nematbakhsh, A., Chen, W. (2023). A multiscale chemical-mechanical model predicts impact of morphogen spreading on tissue growth.  NPJ Syst Biol Appl 9(1): 16.
FlyBase ID
FBrf0256567
Publication Type
Research paper
Abstract
The exact mechanism controlling cell growth remains a grand challenge in developmental biology and regenerative medicine. The Drosophila wing disc tissue serves as an ideal biological model to study mechanisms involved in growth regulation. Most existing computational models for studying tissue growth focus specifically on either chemical signals or mechanical forces. Here we developed a multiscale chemical-mechanical model to investigate the growth regulation mechanism based on the dynamics of a morphogen gradient. By comparing the spatial distribution of dividing cells and the overall tissue shape obtained in model simulations with experimental data of the wing disc, it is shown that the size of the domain of the Dpp morphogen is critical in determining tissue size and shape. A larger tissue size with a faster growth rate and more symmetric shape can be achieved if the Dpp gradient spreads in a larger domain. Together with Dpp absorbance at the peripheral zone, the feedback regulation that downregulates Dpp receptors on the cell membrane allows for further spreading of the morphogen away from its source region, resulting in prolonged tissue growth at a more spatially homogeneous growth rate.
PubMed ID
PubMed Central ID
PMC10199952 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    NPJ Syst Biol Appl
    Title
    NPJ systems biology and applications
    ISBN/ISSN
    2056-7189
    Data From Reference
    Genes (3)