Mathematical models of motor-based intracellular transport

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Title Mathematical models of motor-based intracellular transport
Publication Type dissertation
School or College College of Science
Department Mathematics
Author Karamched, Bhargav
Date 2017
Description The efficient transport of particles throughout a cell plays a fundamental role in several cellular processes. Broadly speaking, intracellular transport can be divided into two categories: passive and active transport. Whereas passive transport generally occurs via diffusive processes, active transport requires cellular energy through adenosine triphosphate (ATP). Many active transport processes are driven by molecular motors such as kinesin and dynein, which carry cargo and travel along the microtubules of a cell to deliver specific material to specific locations. Breakdown of molecular motor delivery is correlated with the onset of several diseases, such as Alzheimer's and Parkinson's. We mathematically model two fundamental cellular processes. In the first part, we introduce a possible biophysical mechanism by which cells attain uniformity in vesicle density throughout their body. We do this by modeling bulk motor density dynamics using partial differential equations derived from microscopic descriptions of individual motor-cargo complex dynamics. We then consider the cases where delivery of cargo to cellular targets is (i) irreversible and (ii) reversible. This problem is studied on the semi-infinite interval, disk, and spherical domains. We also consider the case where exclusion effects come into play. In all cases, we find that allowing for reversibility in cargo delivery to cellular targets allows for more uniform vesicle distribution. In the second part, we see how active transport by molecular motors allows for length control and sensing in flagella and axons, respectively. For the flagellum, we model length control using a doubly stochastic Poisson model. For axons, we model bulk motor dynamics by partial differential equations, and show how spatial information may be encoded in the frequency of an oscillating chemical signal being carried by dynein motors. Furthermore, we discuss how frequency-encoded signals may be decoded by cells, and how these mechanisms break down in the face of noise.
Type Text
Publisher University of Utah
Subject Adiabatic Approximation; Advection-Diffusion Equation; Axonal Transport; Length Control; Molecular Motors; Vesicular Delivery
Dissertation Name Doctor of Philosophy
Language eng
Rights Management ©Bhargav Karamched
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s6963nt4
Setname ir_etd
ID 1345350
Reference URL https://collections.lib.utah.edu/ark:/87278/s6963nt4
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