Associated organisationsAix-Marseille Université · Imperial College London · Institut Jacques Monod · University of Edinburgh · University of Exeter · University of HeidelbergEurope PMC affiliations are not treated as award recipients or mapped locations.
Funding£4.8M
PeriodJan 2026 — Jan 2032
In plain English
AI plain-English summary
Tiny hair-like structures called cilia beat in coordinated waves to move fluid across cells—but no one knows how thousands of them synchronise their strokes. These microscopic appendages are found across nearly all complex life, from single-celled organisms to human lungs. They clear mucus from airways, propel sperm, and help embryos develop. When cilia fail, people develop chronic lung infections, infertility, and organ malformations. Scientists have catalogued the proteins that build cilia and mapped their structure in detail, but they still cannot explain how large groups of cilia work together to produce the right flow in different contexts. This team will combine live imaging of cilia in organisms ranging from single cells to mammalian tissues with computer models that can be tested against real data. By comparing how cilia coordinate across species and scales, they aim to uncover the physical rules that govern collective ciliary motion. The work is fundamental science—it asks how many moving parts self-organise into a functional system. If successful, it could reveal why certain genetic mutations disrupt ciliary coordination in human disease, and provide a framework for predicting how defects in individual components cascade into system-wide failure.
View original technical description
Motile cilia are found across most eukaryotes. These cellular appendages have conserved morphology yet have evolved to perform highly divergent functions in different organisms, e.g. swimming or gliding motility, fluid transport, or mucociliary clearance. Biochemistry and genetics have provided a ‘parts list’ of cilia along with structural blueprints from detailed electron microscopy studies. However, we have little mechanistic understanding of how ensembles of cilia cooperate in different contexts to achieve the desired function. With our interdisciplinary programme, we will investigate the biophysical principles of multiscale coordination of cilia motility by leveraging the power of model organisms, live imaging, and fully-integrated, empirically testable computational models. Our model species span several orders of magnitude in scale and complexity, from single cells to complex mammalian tissues, capturing diverse naturally-occurring ciliary configurations. By exploiting genotype-phenotype mappings across scales and model species, we will uncover key principles that underlie multiciliary function and pathophysiology. The ability to understand and predict how interactions between large numbers of components drive complex behaviours will provide key insight into the physics of ciliary systems. It will also catalyse new perspectives on our understanding of human motile ciliopathies and how multiple components are integrated to generate functional fluid flows.
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