Guyomar, T. | bioRxiv Science

bioRxiv2025

Transcriptional feedback of Erk signaling waves in zebrafish scale regeneration

Regeneration requires long-range cellular coordination. In regenerating bony zebrafish scales, waves of activity of the Extracellular Receptor Related Kinase (Erk) induce growth of bone-forming tissue. Erk waves were proposed to result from an excitable system including feedback with Erk activators and inhibitors. Here, we characterize how Erk modulates its inhibitors, predicted to limit wave frequency and thus tissue growth. First, we found that Erk waves can form spirals, signature of excitable systems, and exhibit refractory behavior compatible with Erk inhibitors following Erk waves. Using a newly developed single-molecule fluorescence in situ hybridization (smFISH) technique for whole scales, we discovered that Erk waves induce trailing transcript waves of the inhibitors dusp5, spry2 and spry4 through Rectified Linear Unit (ReLU) responses. Furthermore, we discovered that Erk waves modulate transcription of the gene osterix, which controls maturation of bone-forming cells. This reveals a transcriptionally-encoded mechanism that couples Erk wave dynamics, and thus tissue growth, with scale maturation during regeneration.

developmental biology↗

bioRxiv2024

Asymmetry of acto-myosin cortices as active fluids shape cells in organoids

Cell cortex is a thin sheet of actin cytoskeleton spanning cell boundaries with rich out-of-equilibrium dynamics. A theoretical description of the cortex as an active fluid enables to capture cell shapes dynamics in 3D epithelial tissues. However models integrated with calibration of parameters and quantitative experiments are lacking so far. Here we report that cells in organoids and in cysts have conserved apico-basal-lateral asymmetric compositions in actin and in myosin, and we quantify their densities and mechanical properties. This allows to calibrate a new model coupling active fluids with a phase field which reproduces the main features of cell shapes. To test our approach, we successfully predict changes in cell shapes by modulating actin polymerisation, myosin activity, and adhesion in experiments and in simulations. Our study shows how active fluid theory integrated with experiments can determine cell shapes in epithelial tissues.

biophysics↗

bioRxiv2024

Predicting Organoid Morphology Through a Phase Field Model: Insights into Cell Division and Lumenal Pressure

Organoids are ideal systems to predict the phenotypes of organs. However, there is currently a lack of understanding regarding the generalized rules that enable use of simple cellular principles to make morphological predictions of entire organoids. Therefore, we employed a phase field model with the following basic components: the minimum conditions for the timing and volume of cell division, lumen nucleation rules, and lumenal pressure. Through our model, we could compute and generate a myriad of organoid phenotypes observed till date. We propose morphological indices necessary to characterize the shapes and construct phase diagrams and show their dependencies on proliferation time and lumen pressure. Additionally, we introduced the lumen-index parameter, which helped in examining the criteria to maintain organoids as spherical structures comprising a single layer of cells and enclosing an intact lumen. Finally, we predict a star-like organoid phenotype that did not undergo differentiation, suggesting that the volume constraint during cell division may determine the final phenotype. In summary, our approach provides researchers with guidelines to test the mechanisms of self-organization and predict the shape of organoid. Author summaryIn nature, a wide variety of organ morphologies are observed. Owing to the complexity of the process underlying the acquisition of organs morphology, it is challenging to investigate the mechanisms that lead to such variations. A promising approach to study these variations is the use of "computational organoid" study, which is the computational-based study of self-organizing shapes in multicellular assemblies and fluid-filled cavities called lumens that develop from a few proliferating cells. This study explores general mechanisms that dictate how various mechanical factors affect the growing self-organized multicellular assembly. We relied on computer simulations of the mathematical model called multicellular phase-field model with lumens and explored the mechanical factor effects, such as the lumen pressure while considering the time and volume conditions required for cell division. These simulations generated and categorized a wide range of organoid phenotypes based on the varying lumen pressure and cell division conditions. These phenotypes were characterized into seven distinct classes, based on the morphological index sets, including a cellular monolayer/multilayer surrounding single or multiple lumens and branch formation. These phenotypes were obtained without the assumption of differentiation. Our study elucidates the mechanisms underlying the organoid and organ formation with different shapes, thereby highlighting the significance of mechanical forces in shaping these complex biological structures.

cell biology↗

bioRxiv2024

Generic rules of lumen nucleation and fusion in epithelial organoids

Many internal organs in the body harbor a fluid-filled lumen. The mechanisms of lumens initiation and fusion have been reported as dependent on organ-type during organogenesis. In contrast, the physics of lumen suggests that force balance between luminal pressure and cell mechanics could lead to conserved rules which may unify their self-organisation. However, this hypothesis lacks experimental evidence. Here we compare lumen dynamics for three different systems (MDCK cysts, pancreatic spheres, and epiblast cysts) by using quantitative cell biology, microfabrication and theory. We report that initial cell number determines the maximum number of lumens but does not impact the steady state which is a final single lumen. In addition, lumen numbers exhibit two phases over time, a nucleation phase followed by a fusion phase. In the nucleation phase, lumens form between two cells in pancreatic and MDCK cysts whereas they form at the rosette stage between ten cells in epiblasts. In the second phase, lumens fuse by an increase in lumen volume for pancreatic spheres and MDCK cysts, whereas cell convergent directional motion leads to lumens fusion in epiblasts. We show that these phenomena are associated to the luminal hydrostatic pressure. We support these results with theoretical arguments and numerical simulations. We finally use MDCK cysts to manipulate cell adhesion and lumen volume and we successfully reproduce the fusion dynamics of pancreatic spheres and epiblasts. Our results reveal self-organisation rules of lumens across systems with relevance for morphogenesis during development and for the design of synthetic organs.

biophysics↗

bioRxiv2023

The interplay between lumen pressure and cell proliferation determines organoid morphology in a multicellular phase field model

Organoids are ideal systems to predict the phenotypes of organs. However, there is currently a lack of understanding regarding the generalized rules that enable use of simple cellular principles to make morphological predictions of entire organoids. Therefore, we employed a phase field model with the following basic components: the minimum conditions for the timing and volume of cell division, lumen nucleation rules, and lumenal pressure. Through our model, we could compute and generate a myriad of organoid phenotypes observed till date. We propose morphological indices necessary to characterize the shapes and construct phase diagrams and show their dependencies on proliferation time and lumen pressure. Additionally, we introduced the lumen-index parameter, which helped in examining the criteria to maintain organoids as spherical structures comprising a single layer of cells and enclosing an intact lumen. Finally, we predict a star-like organoid phenotype that did not undergo differentiation, suggesting that the volume constraint during cell division may determine the final phenotype. In summary, our approach provides researchers with guidelines to test the mechanisms of self-organization and predict the shape of organoid. Author summaryIn nature, a wide variety of organ morphologies are observed. Owing to the complexity of the process underlying the acquisition of organs morphology, it is challenging to investigate the mechanisms that lead to such variations. A promising approach to study these variations is the use of "computational organoid" study, which is the computational-based study of self-organizing shapes in multicellular assemblies and fluid-filled cavities called lumens that develop from a few proliferating cells. This study explores general mechanisms that dictate how various mechanical factors affect the growing self-organized multicellular assembly. We relied on computer simulations of the mathematical model called multicellular phase-field model with lumens and explored the mechanical factor effects, such as the lumen pressure while considering the time and volume conditions required for cell division. These simulations generated and categorized a wide range of organoid phenotypes based on the varying lumen pressure and cell division conditions. These phenotypes were characterized into seven distinct classes, based on the morphological index sets, including a cellular monolayer/multilayer surrounding single or multiple lumens and branch formation. These phenotypes were obtained without the assumption of differentiation. Our study elucidates the mechanisms underlying the organoid and organ formation with different shapes, thereby highlighting the significance of mechanical forces in shaping these complex biological structures.

systems biology↗

bioRxiv2023

Tight junctions regulate lumen morphology via hydrostatic pressure and junctional tension

Formation of fluid filled lumen by epithelial tissues is a fundamental process for organ development. How epithelial cells regulate the hydraulic and cortical forces to control lumen morphology is not completely understood. Here, we quantified the mechanical role of tight junctions in lumen formation using genetically modified MDCKII cysts. We found that the paracellular ion barrier formed by claudin receptors is not required for hydraulic inflation of lumen. However, depletion of the zonula occludens scaffold resulted in lumen collapse and folding of apical membranes. Combining quantitative measurements and perturbations of hydrostatic lumen pressure and junctional tension with modelling, we were able to predict lumen morphologies from the pressure-tension force balance. We found that in MDCK tissue the tight junction promotes formation of spherical lumen by decreasing cortical tension via inhibition of myosin. In addition, we found that the apical surface area of cells is largely uncoupled from lumen volume changes, suggesting that excess apical area contributes to lumen opening in the low-pressure regime. Overall, our findings provide a mechanical understanding of how epithelial cells use tight junctions to modulate tissue and lumen shape.

cell biology↗

bioRxiv2022

Polarity-driven three-dimensional spontaneous rotation of a cell doublet

Cell mechanical interactions play a fundamental role in the self-organisation of organisms. How these interactions drive coordinated cell movement in three-dimensions remains unclear. Here we report that cell doublets embedded in a 3D extracellular matrix undergo spontaneous rotations and we investigate the rotation mechanism using live cell imaging, quantitative measurements, mechanical perturbations, and theory. We find that rotation is driven by a polarized distribution of myosin within cell cortices. The mismatched orientation of this polarized distribution breaks the doublet mirror symmetry. In addition, cells adhere at their interface through adherens junctions and with the extracellular matrix through focal contacts near myosin clusters. Using a physical theory describing the doublet as two interacting active surfaces, we find that rotation is driven by myosin-generated gradients of active tension, whose profiles are dictated by interacting cell polarity axes. We show that interface three-dimensional shapes can be understood from the Curie principle: shapes symmetries are related to broken symmetries of myosin distribution in cortices. To test for the rotation mechanism, we suppress myosin clusters using laser ablation and we generate new myosin clusters by optogenetics. Our work clarifies how polarity-oriented active mechanical forces drive collective cell motion in three dimensions.

biophysics↗