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dc.contributor.authorCarrero, Gustavo
dc.descriptionThe presentation was part of the Symposium “Mathematical and Theoretical Physics” of the 31st Annual Meeting of CAIMS*SCMAI 2010 (Canadian Applied and Industrial Mathematics Society) . The audience was receptive about the application of the Correlated Random Walk (CRW) model and the First Passage Time (FPT) analysis to the Single Particle Tracking (SPT) data of the cell receptor LFA-1. There was a very meaningful comment regarding the spatial scale of the biomolecules being studied in comparison to the spatial scale of the clusters. A productive conversation took place during the Meeting with Dr. Dan Coombs, professor at UBC, who has also worked with LFA-1 data. The comments made during the presentation have been already used to improve a manuscript that is currently being written with the results of the SPT analysis of the LFA-1 receptor data.en
dc.description.abstractOne of the most powerful and commonly used methods for studying molecular diffusion on the cell membrane is Single Particle Tracking (SPT). During an SPT experiment, the trajectory of a membrane-associated biomolecule, labeled with an optical bead or a fluorescent tag, is recorded. This trajectory or SPT data is used to quantify and characterize the motion of the individual particles being studied. In particular, one of the main problems in the analysis of SPT data of membrane receptors is to identify the presence of heterogeneity, which may be attributed to microdomains or receptor clusters. In this work, we apply a correlated random walk (CRW) model and adapt a first-passage time (FPT) algorithm originally developed for the interpretation of animal movement, to study the molecular diffusion of membrane receptors and provide a robust method for determining the presence and size of confined regions of diffusion. This SPT data analysis is used to identify heterogeneity for the lymphocyte receptor LFA-1 by determining the presence and size of receptor clusters.en
dc.subjectMolecular Diffusionen
dc.titleStudying receptor diffusion by interpreting SPT data with a correlated random walk and a first-passage time algorithmen

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