Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581159
Title: Single particle tracking as a tool to investigate the dynamics of integrated membrane complexes in vivo
Author: Robson, Alex J.
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2012
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Abstract:
The last decade has seen substantial advances in single-molecule tracking methods with nano-metre level precision. A powerful tool in single-molecule tracking is fluorescence imaging. One particular application, total internal reflection microscopy, can capture biological processes at high contrast video rate imaging at the single-particle level. This thesis presents methodologically novel methods in analysing single particle tracking data. Presented here is an application of a Bayesian statistical approach that can discriminate between the different diffusive modes that appear with the presence of membrane architecture. This algorithm is denoted BARD; a Bayesian Analysis to Ranking Diffusion. These algorithms are applied to a total internal fluorescence microscopy based experimental data of a novel membrane probe in Escherichia coli. This probe is a plasmid expressed, non-native membrane integrating trans-membrane helix and thus acts as an ideal protein based probe under no specific native control. Two experiments were performed using a combination of varying helix probe size and growth temperature experiments effectively altering the transition temperature of the membrane. These data are suggestive of a passive partitioning of the helix protein into mobile and immobile domains that emerge from the underlying phase behaviour of the membrane.
Supervisor: Leake, Mark C.; Burrage, Kevin Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.581159  DOI: Not available
Keywords: Biophysics ; Membrane proteins ; Microscopy ; single-particle-tracking SPT TIRF diffusion membrane membrane-proteins
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