Title: Development of Monte Carlo simulations for characterization and optimization of TOCCSL experiments
Other Titles: Entwicklung von Monte Carlo Simulationen zur Charakterisierung und Optimierung von TOCCSL Experimenten
Language: English
Authors: Kiesenhofer, Dominik 
Qualification level: Diploma
Advisor: Schütz, Gerhard 
Assisting Advisor: Brameshuber, Mario 
Issue Date: 2017
Kiesenhofer, D. (2017). Development of Monte Carlo simulations for characterization and optimization of TOCCSL experiments [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.50432
Number of Pages: 75
Qualification level: Diploma
A previously developed single-molecule microscopy technique termed TOCCSL (thinning out clusters while conserving stoichiometry of labeling) allows for direct imaging and stoichiometric analysis of molecular aggregates diffusing in the plasma membrane at high surface densities. The method is based on photobleaching of a confned area and subsequent imaging at the onset of the recovery process. Brightness analysis of individual diffraction-limited spots reveals the distribution of oligomeric fractions. In the present work, Monte Carlo-based computer simulations of TOCCSL experiments were developed to study the influence of three major sources of error on the experimental outcome: incomplete photobleaching of aggregates, oligomerization state-dependent mobility differences and false-positive oligomer detection due to random encounters. Trajectories of randomly diffusing particles are implemented as a Gaussian random walk. The photobleaching probability for individual particles is stochastically determined according to measured photobleaching curves of GPI-anchored monomeric GFP in the plasma membrane of CHO cells. TOCCSL simulations with varying parameters were performed to characterize individual and combined error sources. With regard to these simulations, strategies are discussed in order to optimize the accuracy of measurements by adjustment of experimental parameters and data post-processing.
Keywords: Single Molecule Microscopy; Monte Carlo Simulations; Protein-Protein Interactions
URI: https://doi.org/10.34726/hss.2017.50432
DOI: 10.34726/hss.2017.50432
Library ID: AC14483872
Organisation: E134 - Institut für Angewandte Physik 
Publication Type: Thesis
Appears in Collections:Thesis

Files in this item:

Items in reposiTUm are protected by copyright, with all rights reserved, unless otherwise indicated.

Page view(s)

checked on May 11, 2022


checked on May 11, 2022

Google ScholarTM