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Citation
Aguirre-Tamaral, A., Guerrero, I. (2021). Improving the understanding of cytoneme-mediated morphogen gradients by in silico modeling.  PLoS Comput. Biol. 17(8): e1009245.
FlyBase ID
FBrf0250154
Publication Type
Research paper
Abstract
Morphogen gradients are crucial for the development of organisms. The biochemical properties of many morphogens prevent their extracellular free diffusion, indicating the need of an active mechanism for transport. The involvement of filopodial structures (cytonemes) has been proposed for morphogen signaling. Here, we describe an in silico model based on the main general features of cytoneme-meditated gradient formation and its implementation into Cytomorph, an open software tool. We have tested the spatial and temporal adaptability of our model quantifying Hedgehog (Hh) gradient formation in two Drosophila tissues. Cytomorph is able to reproduce the gradient and explain the different scaling between the two epithelia. After experimental validation, we studied the predicted impact of a range of features such as length, size, density, dynamics and contact behavior of cytonemes on Hh morphogen distribution. Our results illustrate Cytomorph as an adaptive tool to test different morphogen gradients and to generate hypotheses that are difficult to study experimentally.
PubMed ID
PubMed Central ID
PMC8362982 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    PLoS Comput. Biol.
    Title
    PLoS Computational Biology
    Publication Year
    2005-
    ISBN/ISSN
    1553-7358 1553-734X
    Data From Reference
    Genes (2)