Modelling the formation of ordered acentrosomal microtubule arrays

Mace, Alexander R (2015) Modelling the formation of ordered acentrosomal microtubule arrays. Doctoral thesis, University of East Anglia.

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Abstract

Acentrosomal microtubules are not bound to a microtubule organising centre yet are still able to form ordered arrays. Two clear examples of this behaviour are the acentrosomal apico-basal (side wall) array in epithelial cells and the parallel organisation of plant cortical microtubules.
This research investigates their formation through mathematical modelling and Monte Carlo simulations with the software programs developed ourselves.
In epithelial cells there is a generally accepted `release and capture' hypothesis for the transfer of centrosomal microtubules onto the side wall array. We use a combination of mathematical and Monte Carlo
simulation models to perform the first modelling of this hypothesis.
We find that a tubulin concentration dependent dynamic instability is not a good�fit to this hypothesis but that a reduced centrosomal nucleation rate in response to an increased number of side wall microtubules makes the hypothesis work in biologically reasonable conditions. We
propose that the loss of nucleation rate is a result of ninein being transferred from the centrosome to the side wall. We show OpenCL to be a useful tool in building a simulation program for parameter searches.
We use a Monte Carlo simulation model to investigate how the collision induced catastrophe (CIC) probability affects the formation of the ordered array of cortical plant microtubules. We find that with entrainment an ordered array stops forming once the CIC drops below
0.5. We�find that the severing action of katanin is able to restore order at CIC probabilities below 0.5 but the speed at which crossovers must be severed becomes unfeasibly fast as the CIC decreases. This implies that at very low CICs observed in nature (�0.1), katanin may be necessary but not suffi�cient to create the ordered array. We also
provide a customisable and intuitive cortical microtubule simulation software to aid in further research.

Item Type:	Thesis (Doctoral)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	Jackie Webb
Date Deposited:	30 Jun 2015 14:38
Last Modified:	30 Jun 2015 14:38
URI:	https://ueaeprints.uea.ac.uk/id/eprint/53440
DOI:

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