ABSTRACT
Cell-cell communication through direct contact is essential during fundamental biological processes such as tissue repair and morphogenesis. Synthetic forms of contact-mediated cell-cell communication can generate custom gene expression outputs, making them valuable for tissue engineering and regenerative medicine. To precisely control the location and timing of synthetic signal outputs in growing tissues, it is necessary to understand the mechanisms underlying its spatiotemporal patterns. Towards this goal, we combine theory and experiments to study patterns of synthetic Notch (synNotch) activation - a custom synthetic gene circuit that we implement within Drosophila wing imaginal discs. We show that output synthesis and degradation rates together with cell division are the key minimal parameters that predict the heterogeneous spatiotemporal patterns of synNotch activation. Notably, synNotch output forms a graded exponential spatial profile that extends several cell diameters from the signal source, establishing evidence for signal propagation without diffusion or long range cell-cell communication. Furthermore, we discover that the shape of the interface between ligand and receptor cells is important in determining the synNotch output. Overall, we elucidate key biophysical principles that underlie complex emergent spatiotemporal patterns of synNotch output in a growing tissue.
ABSTRACT
BACKGROUND: Endocytosis allows the import and distribution of cargo into a series of endosomes with distinct morphological and biochemical characteristics. Our current understanding of endocytic cargo trafficking is based on the kinetics of net cargo transport between endosomal compartments without considering individual endosomes. However, endosomes form a dynamic network of membranes undergoing fusion and fission, thereby continuously exchanging and redistributing cargo. The macroscopic kinetic properties, i.e., the properties of the endosomal network as a whole, result from the collective behaviors of many individual endosomes, a problem so far largely unaddressed. RESULTS: Here, we developed a general theoretical framework to describe the dynamics of cargo distributions in the endosomal network. We combined the theory with quantitative experiments to study how the macroscopic kinetic properties of the endosomal network emerge from microscopic processes at the level of individual endosomes. We compared our theory predictions to experimental data in which dynamic distributions of endocytosed low-density lipoprotein (LDL) were quantified. CONCLUSIONS: Our theory can quantitatively describe the observed cargo distributions as a function of time. Remarkably, the theory allows determining microscopic kinetic parameters such as the fusion rate between endosomes from still images of cargo distributions at different times of internalization. We show that this method is robust and sensitive because cargo distributions result from an average over many stochastic events in many cells. Our results provide theoretical and experimental support to the "funnel model" of endosome progression and suggest that the conversion of early to late endosomes is the major mode of LDL trafficking.
