Quantitative experiments reveal how ecdysone and mechanics drive tissue folding in Drosophila, indicating the role of morphogen signaling.
Understanding the biochemical and mechanical cues that cause epithelial sheets to reorganize themselves into three-dimensional organs remains a central challenge in biology. During Drosophila wing-disc eversion, a pseudostratified pouch folds outward and fuses into a bilayer that goes on to form the adult wing. This project unites quantitative experiments with a 3D multiscale mechano-chemical (M3D) model to decode the late-stage morphogenesis of the Drosophila wing imaginal disc during eversion. The work couples: (1) a GPU-accelerated particle-based model that resolves apical, basal and extracellular-matrix mechanics on a deforming epithelial surface; (2) reaction-diffusion models for hormone (ecdysone) and morphogen signaling (Dpp, Wg) extended down to intracellular Rho1/Cdc42 dynamics; and (3) machine-learning pipelines—Gaussian-process surrogate modeling, Bayesian optimization and neural-network solvers—to calibrate and accelerate simulations against time-lapse light-sheet imaging, biomechanical perturbations and quantitative immunostaining. Iterative experimentation will map how spatially patterned actomyosin contractility, cell-ECM adhesion and ECM stiffness drive coordinated cell reshaping, layer coupling and tissue folding. The resulting framework will yield predictive, systems-level insights into how hormonal timing interfaces with morphogen gradients to orchestrate organ-scale shape changes.
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Navaira Sherwani (2026) studied this question.
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