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Bonilla-Quintana, M.

Publications and source records attributed to Bonilla-Quintana, M..

9 recordsLinked to original sources

Drosophila embryo cellularization is modulated by the viscoelastic dynamics of cortical-membrane interactions

1The generation of an epithelial sheet transforms fruit fly embryos from a single syncytial cell directly into a tissue. For this to happen, the apical microvillus membrane is pulled between peripherally anchored nuclei in a process known as furrow invagination. Experimental measurements of furrow invagination velocities have shown that the rate of invagination undergoes slow-to-fast and fast-to-stalled velocity transitions during the formation of individual cells. The causes of such changes are due to multiple intersecting mechanisms and molecular components, including motor proteins, microtubules, and F-actin. In this work, we develop a continuum model to describe the dynamics of furrow invagination. Our model is constrained by previously published experimental data and considers the roles of cytoskeletal forces, cytoplasmic drag, motor protein forces, and membrane tension. We find that the viscous forces produced by the cytoskeleton sliding beneath the plasma membrane dictates furrow velocity. We propose that the slow phase is slow because there is a high density of microvilli, which increases the number of viscous contact points between the plasma membrane and the underlying cytoskeleton. This in turn, results in a higher resistance to furrow invagination. We predict that the fast phase may benefit from fewer cytoskeleton-to-plasma membrane contact points, thus reducing viscous forces and promoting the slow-to-fast switch. Then, we use perturbation and loss-of-function simulations to show that microvillus and sub-apical membrane reservoirs are vital to setting furrow invagination dynamics. This work demonstrates how coupling between the cytoskeleton, the plasma membrane, and distinct membrane reservoirs affects the plasticity and dynamics of cellularization.

cell biology↗

Periodic Obstacles Regulate Membrane Tension Propagation to Enable Localized Mechanotransduction

Forces applied to cellular membranes lead to transient membrane tension gradients. The way membrane tension propagates away from the stimulus site into the membrane reservoir is a key property in cellular adaptation. However, it remains unclear how tension propagation in membranes is regulated and how it depends on the cell type. Here, we investigate plasma membrane tension propagation in cultured Caenorhabditis elegans mechanosensory neurons. We show that tension propagation travels quickly and is restricted to a particular distance in the neurites -- projections from the cell body of a neuron. A biophysical model of tension propagation suggests that periodic obstacle density and arrangement play key roles in controlling the propagation of mechanical information. Our experiments show that tension propagation is strongly dependent on the intact actin and microtubule cytoskeleton, whereas membrane lipid properties have minimal impact. In particular, the organization of the /{beta}-spectrin network and the MEC-2 stomatin condensates in periodic scaffold act as barriers to tension propagation, limiting the spread of tension. Our findings suggest that restricting membrane tension propagation in space and time enables precise localized signaling, allows a single neuron to process mechanical signals in multiple distinct domains, thus expanding its computational capacity.

biophysics↗

Dynamic mechanisms for membrane skeleton transitions

The plasma membrane and the underlying skeleton form a protective barrier for eukaryotic cells. The molecules forming this complex composite material constantly rearrange under mechanical stress to confer this protective capacity. One of those molecules, spectrin, is ubiquitous in the membrane skeleton and primarily located proximal to the inner leaflet of the plasma membrane and engages in protein-lipid interactions via a set of membrane-anchoring domains. Spectrin is linked by short actin filaments and its conformation varies in different types of cells. In this work, we developed a generalized network model for the membrane skeleton integrated with myosin contractility and membrane mechanics to investigate the response of the spectrin meshwork to mechanical loading. We observed that the force generated by membrane bending is important to maintain a smooth skeletal structure. This suggests that the membrane is not just supported by the skeleton, but has an active contribution to the stability of the cell structure. We found that spectrin and myosin turnover are necessary for the transition between stress and rest states in the skeleton. Our model reveals that the actin-spectrin meshwork dynamics are balanced by the membrane forces with area constraint and volume restriction promoting the stability of the membrane skeleton. Furthermore, we showed that cell attachment to the substrate promotes shape stabilization. Thus, our proposed model gives insight into the shared mechanisms of the membrane skeleton associated with myosin and membrane that can be tested in different types of cells. Significance StatementSpectrin was first observed in red blood cells, as a result of which, many theoretical models focused on understanding its function in this cell type. However, recently, experiments have shown that spectrin is an important skeletal component for many different cell types and that it can form different configurations with actin. In this work, we proposed a model to study the shared mechanisms behind the function of the actin-spectrin meshwork in different types of cells. We found that membrane dynamics in addition to spectrin and myosin turnover are necessary to achieve conformational changes when stresses are applied and to guarantee shape stability when the stresses are removed. We observed that membrane bending is important to support skeletal structure. Furthermore, our model gives insight into how cell shape is maintained despite constant spectrin turnover and myosin contraction.

biophysics↗

Membrane mechanics dictate axonal morphology and function

Axons are thought to be ultrathin membrane cables of a relatively uniform diameter, designed to conduct electrical signals, or action potentials. Here, we demonstrate that unmyelinated axons are not simple cylindrical tubes. Rather, axons have nanoscopic boutons repeatedly along their length interspersed with a thin cable with a diameter of [~]60 nm like pearls-on-a-string. These boutons are only [~]200 nm in diameter and do not have synaptic contacts or a cluster of synaptic vesicles, hence non-synaptic. Our in silico modeling suggests that axon pearling can be explained by the mechanical properties of the membrane including the bending modulus and tension. Consistent with modeling predictions, treatments that disrupt these parameters like hyper- or hypo-tonic solutions, cholesterol removal, and non-muscle myosin II inhibition all alter the degree of axon pearling, suggesting that axon morphology is indeed determined by the membrane mechanics. Intriguingly, neuronal activity modulates the cholesterol level of plasma membrane, leading to shrinkage of axon pearls. Consequently, the conduction velocity of action potentials becomes slower. These data reveal that biophysical forces dictate axon morphology and function and that modulation of membrane mechanics likely underlies plasticity of unmyelinated axons.

neuroscience↗

Mechanically induced topological transition of spectrin regulates its distribution in the mammalian cortex

The cell cortex is a dynamic assembly that ensures cell integrity during passive deformation or active response by adapting cytoskeleton topologies with poorly understood mechanisms. The spectrin meshwork ensures such adaptation in erythrocytes and neurons. Erythrocytes rely on triangular-like lattices of spectrin tetramers, which in neurons are organized in periodic arrays. We exploited Expansion Microscopy to discover that these two distinct topologies can co-exist in other mammalian cells such as fibroblasts. We show through biophysical measurements and computational modeling that spectrin provides coverage of the cortex and, with the intervention of actomyosin, erythroid-like lattices can dynamically transition into condensates resembling neuron-like periodic arrays fenced by actin stress fibers. Spectrin condensates experience lower mechanical stress and turnover despite displaying an extension close to the contour length of the tetramer. Our study sheds light on the adaptive properties of spectrin, which ensures protection of the cortex by undergoing mechanically induced topological transitions.

cell biology↗

Biophysical modeling of actin-mediated structural plasticity reveals mechanical adaptation in dendritic spines

Synaptic plasticity is important for learning and memory formation; it describes the strengthening or weakening of connections between synapses. The postsynaptic part of excitatory synapses resides in dendritic spines, which are small protrusions on the dendrites. One of the key features of synaptic plasticity is its correlation with the size of these spines. A long-lasting synaptic strength increase (long-term potentiation, LTP) is only possible through the reconfiguration of the actin spine cytoskeleton. Here, we develop an experimentally-informed three-dimensional computational model in a moving boundary framework to investigate this reconfiguration. Our model describes the reactions between actin and actin-binding proteins (ABPs) leading to the cytoskeleton remodeling and their effect on the spine membrane shape to examine the spine enlargement upon LTP. Moreover, we find that the incorporation of perisynaptic elements enhances spine enlargement upon LTP, exhibiting the importance of accounting for these elements when studying structural LTP. Our model shows adaptation to repeated stimuli resulting from the interactions between spine proteins and mechanical forces. Significance StatementDendritic spines are small protrusions that receive stimulation from presynaptic neurons. Upon stimulation, the dendritic spines change their size, an important feature of synaptic plasticity. This change is achieved by modifications to the actin cytoskeleton and mediated by many actin-binding proteins. To investigate the fundamental mechanics of spine expansion, we developed a 3D biophysical model that accounts for the dynamics of cytoskeleton-membrane interactions. Our simulations predict that spine expansion due to actin remodeling can be enhanced by including the interaction with perisynaptic elements that affect the spines mechanical properties. We also found that mechanical properties can control spine expansion after repeated stimuli, which ensures physiological size. Thus, we predict that spine growth is regulated by its mechanical properties.

biophysics↗

Exploring new roles for actin upon LTP induction in dendritic spines

Dendritic spines, small protrusions of the dendrites, enlarge upon LTP induction, linking morphological and functional properties. Although the role of actin in spine enlargement has been well studied, little is known about its relationship with mechanical membrane properties, such as membrane tension, which is involved in many cell processes, like exocytosis. Here, we use a 3D model of the dendritic spine to investigate how polymerization of actin filaments can effectively elevate the membrane tension to trigger exocytosis in a domain close to the tip of the spine. Moreover, we show that the same pool of actin promotes full membrane fusion after exocytosis and spine stabilization.

neuroscience↗

Actin in Dendritic Spines Self-Organizes into a Critical State

It is known that dendritic spines change their size and shape spontaneously and sometimes to a large degree, but the function of this remains unclear. Here, we quantify these changes using time-series analysis of confocal data and demonstrate that spine size can follow different autoregressive integrated moving average (ARIMA) models and that shape- and size-changes are not correlated. We capture this behavior with a biophysical model, based on the spines actin dynamics, and find the presence of 1/f noise. When investigating its origins, the model predicts that actin in the dendritic spines self-organizes into a critical state, which creates a fine balance between static actin filaments and free monomers. We speculate that such a balance might be functionally beneficially to allow a spine to quickly reconfigure itself after LTP induction.

biophysics↗

Modeling the shape of synaptic spines by their actin dynamics

Dendritic spines are the morphological basis of excitatory synapses in the cortex and their size and shape correlates with functional synaptic properties. Recent experiments show that spines exhibit large shape fluctuations that are not related to activity-dependent plasticity but nonetheless might influence memory storage at their synapses. To investigate the determinants of such spontaneous fluctuations, we propose a mathematical model for the dynamics of the spine shape and analyze it in 2D -- related to experimental microscopic imagery -- and in 3D. We show that the spine shape is governed by a local imbalance between membrane tension and the expansive force from actin bundles that originates from discrete actin polymerization foci. Experiments have shown that only few such polymerization foci co-exist at any time in a spine, each having limited life time. The model shows that the momentarily existing set of such foci pushes the membrane along certain directions until foci are replaced and other directions may now be affected. We explore these relations in depth and use our model to predict shape and temporal characteristics of spines from the different biophysical parameters involved in actin polymerization. Reducing the model further to a single recursive equation we finally demonstrate that the temporal evolution of the number of active foci is sufficient to predict the size of the model-spines. Thus, our model provides the first platform to study the relation between molecular and morphological properties of the spine with a high degree of biophysical detail.\n\nAuthor summarySynaptic spines are post-synaptic contact points for pre-synaptic signals in many cortical neurons and it has been shown that synaptic transmission is correlated with spine size. However, spine size and shape can vary quite strongly on short time scales and it is currently unknown how these shape variations emerge. In this study we present a biophysical model that links spine shape fluctuations to the dynamics of the spines actin-based cytoskeleton. We show that shape fluctuations arise from the fact that fast actin polymerization in a spine is a discrete process happening at only few polymerization foci. Life and death of these foci determine from moment to moment how the membrane bulges or retracts. We provide an in-depth analysis of this effect for a large set of biophysical parameters and quantify the spatial-temporal structure of the spines. Our model, thus, provides a quantitative characterization of the link between spine morphology and the underlying molecular processes, which forms an essential step towards a better understanding of synaptic transmission during steady state but also during synaptic plasticity.

neuroscience↗