Live cell imaging and single particle tracking techniques have become increasingly popular amongst the mathematical biology community. Lysosomes, known for endocytosis, phagocytic destruction, and autophagy, move about the cell along microtubules. Intracellular transport of lysosomes is carried out in membrane-bound vesicles through the use of motor proteins. Single particle tracking methods utilize stochastic models to simulate intracellular transport and give rise to rigorous analysis of the resulting properties, specifically related to transitioning between inactive to active states. We find confidence in our methodology and develop simulations to capture these properties at multiple frames rates. Determining an optimal frame rate for capturing live cell data is necessary in order to successfully infer properties or the underlying mechanisms. We rely on an optimal frame rate to extract properties about the microtubule network of the cell.
Exploring Intracellular Dynamics and Underlying Mechanisms of Transport
Keisha Cook, Clemson UniversityAuthors: Keisha Cook, Scott McKinley, Nathan Rayens, Christine Payne
2022 AWM Research Symposium
Recent Advances in Mathematical Biology