Reverse Engineering of the Mitotic Spindle |
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| Launch in standalone player | |
| Air date: | Tuesday, May 29, 2007, 1:00:00 PM |
| Category: | Systems Biology |
| Runtime: | 60 minutes |
| NLM Title: | Reverse engineering of the mitotic spindle [electronic resource] / Systems Biology Special Interest Group ; Alex Mogilner. |
| Author: | Mogilner, Alex. National Institutes of Health (U.S.). Systems Biology Special Interest Group. |
| Publisher: | [Bethesda, Md. : National Institutes of Health, 2007] |
| Abstract: | (CIT): Mitotic spindle is a complex mechanochemical machine characterized by consecutive periods of increasing separation between spindle poles and sister chromatids. While a number of molecular perturbations have revealed the basic mechanisms of multiple motor and microtubule actions underlying spindle dynamics, a complete picture of how motor and microtubule forces are integrated is still lacking. . To address this challenge, we developed and utilized a novel computational algorithm that automatically builds 'virtual spindles' in the Drosophila embryo and uses quantitative experimental data to screen and optimize them. We discovered that there is a tremendous variety of plausible in vivo activity profiles and mechanical characteristics of mitotic motors that can explain wild type behavior. Further search identified only 21 distinct strategies for spindle organization, which quantitatively explain spindle kinetics in wild type and in eight mutant and inhibited embryos. Remarkably, only one of these 21 models is further supported by the chromosome motility data, and it is also the most robust, indicating that this is the most plausible model. The search also identified a number of features conserved for all models, including the timing of the activity of dynein and a few kinesins, as well as the forces and velocities of crucial mitotic motors, and generated predictions, some of which agree with available data, but most requiring future tests. Dr. Mogilner obtained his Ph.D. in Physics at the USSR Academy of Sciences and his Ph.D. in Applied Mathematics at the University of British Columbia. He joined the faculty of the University of California, Davis in 1996 and became a Professor of Mathematics and Neurobiology in 2002. http://www.nih.gov/sigs/sysbio. |
| Subjects: | Drosophila--embryology Mitotic Spindle Apparatus Models, Biological |
| Publication Types: | Government Publications Lectures |
| Download: | Download
Video How to download a Videocast |
| NLM Classification: | QU 350 |
| NLM ID: | 101308592 |
| CIT File ID: | 13844 |
| CIT Live ID: | 5976 |
| Permanent link: | http://videocast.nih.gov/launch.asp?13844 |