Christopher T. Lee

This study investigates how membrane phase, charge, and curvature jointly regulate α-synuclein binding dynamics using experimental and simulation methods.

This paper introduces a physics-informed neural network framework to reconstruct 3D membrane shapes and curvatures from electron microscopy images, showing improved accuracy and mechanical insights.

This study shows that saturated cardiolipins (CLsat) disrupt inner mitochondrial membrane structure and function, contributing to mitochondrial dysfunction in Barth syndrome.

The paper investigates how vacuole size affects nucleus shape and position in budding yeast, showing that physical crowding and steric packing influence organelle organization.

This study shows how mechanochemical feedback between confinement and actin crosslinking controls droplet shape and actin organization through dynamic relationships between bundling and deformation.

The paper uses molecular dynamics simulations to show cardiolipin increases membrane spontaneous curvature and reduces bending rigidity, leading to lateral heterogeneities through curvature sensing.

The paper introduces SMART, a software tool for simulating cell signaling networks in realistic geometries, demonstrating its application to various biological systems.

This study demonstrates light-controlled actin polymerization in protocells, enabling directed motility and revealing the role of branched and linear actin networks in membrane protrusion.

This study shows that axon morphology and function are influenced by membrane mechanics, with activity modulating cholesterol levels and affecting conduction velocity.

This paper develops a spatiotemporal model to study how dendritic spine geometry influences AMPAR dynamics during long-term potentiation, finding non-monotonic relationships between spine volume and AMPAR changes.

The paper shows that dendritic spine morphology affects calcium dynamics and synaptic weight change through deterministic relationships.

The paper analyzes mitochondrial morphology in mouse cerebellum neurons using 3D TEM data to quantify structural features that influence metabolic output.

SamQL provides an SQL-like query language for SAM/BAM files to enable efficient and structured querying without data transformation.

The paper develops a pipeline using GAMer 2 to convert electron microscopy images into 3D meshes for reaction-diffusion simulations in realistic cellular geometries.