- Cellular Mechanics and Interactions
- Force Microscopy Techniques and Applications
- Rheology and Fluid Dynamics Studies
- Fluid Dynamics and Thin Films
- Fluid Dynamics and Turbulent Flows
- Lipid Membrane Structure and Behavior
- Neurogenesis and neuroplasticity mechanisms
- Pickering emulsions and particle stabilization
- Neuroscience and Neural Engineering
- Micro and Nano Robotics
- Blood properties and coagulation
- Supramolecular Self-Assembly in Materials
- Cellular transport and secretion
- Diatoms and Algae Research
- Cell Image Analysis Techniques
- Algal biology and biofuel production
- Advanced Thermodynamics and Statistical Mechanics
- Animal Genetics and Reproduction
- Mitochondrial Function and Pathology
University of California, San Diego
2021-2025
Jacobs (United States)
2023-2024
The dynamics of evolving fluid films in the viscous Stokes limit is relevant to various applications, such as modelling lipid bilayers cells. While governing equations were formulated by Scriven (1960), solving for flow a deformable surface with arbitrary shape and topology has remained challenge. In this study, we present straightforward discrete model based on variational principles address long-standing problem. We replace classical equations, which are expressed tensor calculus local...
Abstract Axons are ultrathin membrane cables that specialized for the conduction of action potentials. Although their diameter is variable along length, how morphology determined unclear. Here, we demonstrate unmyelinated axons mouse central nervous system have nonsynaptic, nanoscopic varicosities ~200 nm in repeatedly length interspersed with a thin cable ~60 like pearls-on-a-string. In silico modeling suggests this axon nanopearling can be explained by mechanical properties. Treatments...
Recent advances in cell biology and experimental techniques using reconstituted extracts have generated significant interest understanding how geometry topology influence active fluid dynamics. In this work, we present a comprehensive continuum theory computational method to explore the dynamics of nematic fluids on arbitrary surfaces without topological constraints. The velocity order parameter are represented as sections complex line bundle two-manifold. We introduce Levi–Civita connection...
Abstract Axons are thought to be ultrathin membrane cables of a relatively uniform diameter, designed conduct electrical signals, or action potentials. Here, we demonstrate that unmyelinated axons not simple cylindrical tubes. Rather, have nanoscopic boutons repeatedly along their length interspersed with thin cable diameter ∼60 nm like pearls-on-a-string. These only ∼200 in and do synaptic contacts cluster vesicles, hence non-synaptic. Our silico modeling suggests axon pearling can...
Form and function are often interdependent throughout biology. Inside cells, mitochondria have particularly attracted attention since both their morphology functionality altered under pathophysiological conditions. However, directly assessing causal relationship has been beyond reach due to the limitations of manipulating mitochondrial in a physiologically relevant manner. By engineering bacterial actin regulator, ActA, we developed tools termed "ActuAtor" that inducibly trigger...
Abstract Biomembranes adopt varying morphologies that are vital to cellular functions. Many studies use computational modeling understand how various mechanochemical factors contribute membrane shape transformations. Compared approximation-based methods (e.g., finite element method), the class of discrete mesh models offers greater flexibility simulate complex physics and shapes in three dimensions; its formulation produces an efficient algorithm while maintaining coordinate-free geometric...
The dynamics of evolving fluid films in the viscous Stokes limit is relevant to various applications, such as modeling lipid bilayers cells. While governing equations were formulated by Scriven 1960, solving for flow a deformable surface with arbitrary shape and topology has remained challenge. In this study, we present straightforward discrete model based on variational principles address long-standing problem. We replace classical equations, which are expressed tensor calculus local...