ArticlePLoS computational biology2021
Improving the understanding of cytoneme-mediated morphogen gradients by in silico modeling.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 14 citations in OpenAlex.
- The Drosophila epidermal growth factor receptor pathway regulates Hedgehog signalling and cytoneme behaviour.Nature communications · 2025Article
- Review
- Myosin XV is a negative regulator of signaling filopodia during long-range lateral inhibition.Developmental biology · 2024Article
- Article
- Predictive model for cytoneme guidance in Hedgehog signaling based on Ihog- Glypicans interaction.Nature communications · 2022Article
- Article
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2 authors at 1 institution in 1 country.
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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.
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