| dc.contributor.author | Carrero, Gustavo | |
| dc.date.accessioned | 2009-06-29T16:38:43Z | |
| dc.date.available | 2009-06-29T16:38:43Z | |
| dc.date.issued | 2009-06-29T16:38:43Z | |
| dc.identifier.uri | http://hdl.handle.net/2149/2211 | |
| dc.description | The presentation was part of the Symposium “From individual to continuous approaches in biological modeling” at the MITACS 2009 Annual Conference.
I included another topic to my presentation, and therefore the title of the presentation changed to:
“Describing the motion of cellular proteins at individual and population levels”.
The presentation aimed at describing two modeling approaches (population- and individual-based modeling) when using data from two fluorescence microscopy techniques, namely Fluorescence Recovery After Photobleaching (FRAP) and Single Particle Tracking (SPT). To illustrate the population-based modeling using FRAP data, a model to describe the self-organization of nuclear proteins was presented, and to illustrate the individual-based modeling using SPT data, a test for a correlated random walk was presented.
The presentation of these two approaches brought about interesting questions regarding the use of one to supplement the other.
A productive research meeting took place during the Symposium with Dr. Raibatak Das (organizer of the Symposium and postdoctoral fellow at UBC), Dr. Raibatak Das (a participant at the Symposium and professor at UBC), Jennifer Morrison (a presenter at the Symposium and PhD student at UBC), and Dr. Gerda de Vries (presenter at the Conference and professor at UofA) and a follow up meeting for common research interest a collaboration is scheduled for middle August 2009 at the University of Alberta.
Also, I was a poster judge at the Conference poster competition. | en |
| dc.description.abstract | The existence of domains within the cell nucleus enriched in specific proteins capable of moving randomly throughout the nucleoplasm has led to the biological conclusion that the cell nucleus is dynamically and highly organized. In this talk, we will illustrate how a diffusion-approximation approach can be used to describe a possible mechanism responsible for the dynamical organization of one type of these proteins enriched in nuclear domains, namely splicing factors. The approach is based on an individual random walk analysis that accounts for both motion and self-interaction, and leads to a partial differential equation that describes the dynamics of the population of splicing factors. Also, we will see how different assumptions at the individual level can affect the resulting diffusion-approximation model that describes the dynamics of the population. | en |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | 83.R020.1005; | |
| dc.subject | cell nucleus | en |
| dc.subject | proteins | en |
| dc.subject | diffusion-approximation | en |
| dc.subject | domains | en |
| dc.title | A Diffusion-approximation Approach to Model Self-organization of Nuclear Proteins | en |
| dc.type | Presentation | en |
