Literature DB >> 19657233

The role of localization in the operation of the mitotic spindle assembly checkpoint.

Maiko Lohel1, Bashar Ibrahim, Stephan Diekmann, Peter Dittrich.   

Abstract

The mitotic spindle assembly checkpoint (MSAC) is an important regulatory mechanism of the cell cycle, ensuring proper chromosome segregation in mitosis. It delays the transition to anaphase until all chromosomes are properly attached to the mitotic spindle by emitting a diffusible "wait anaphase"-signal from unattached kinetochores. Current models of the checkpoint disregard important spatial properties like localization, diffusion and realistic numbers of kinetochores. To allow for in silico studies of the dynamics of these models in a more realistic environment, we introduce a mathematical framework for quasi-spatial simulation of localized biochemical processes that are typically observed during checkpoint activation and maintenance. The "emitted inhibition" model of the MSAC by Doncic et al. (Proc Natl Acad Sci USA 2005; 102:6332-7) assumes instantaneous activation of the diffusible "wait anaphase"-signal upon kinetochore encounter. We modify this model to account for binding kinetics with finite rates and use the developed framework to determine the feasible range of the binding parameters. We find that for proper activation, the binding rate constant has to be fast and above a critical value. Furthermore, this critical value depends significantly on the amount of local binding sites at each kinetochore. The critical values lie in a physiological realistic regime (10(4)-10(6) M(-1)s(-1)). We also determine the feasible parameter range for fast checkpoint activation of the "Mad2 template" model, for which the kinetic parameters have recently been studied in vitro by Simonetta et al. (PLoS Biology 2009; 7:1000010). We find critical values for binding and catalysis rate constants, both significantly higher than the measured values. Our results suggest that yet unknown mechanisms at the kinetochores facilitate binding and catalysis in vivo. We conclude that quantitative models of the MSAC have to account for the limited availability of binding sites at kinetochores.

Entities:  

Mesh:

Year:  2009        PMID: 19657233     DOI: 10.4161/cc.8.16.9383

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  11 in total

1.  An integrated pharmacokinetic-pharmacodynamic model for an Aurora kinase inhibitor.

Authors:  Hiroko Kamei; Robert C Jackson; Daniella Zheleva; Fordyce A Davidson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-08-08       Impact factor: 2.745

2.  Systems Biology Modeling of Five Pathways for Regulation and Potent Inhibition of the Anaphase-Promoting Complex (APC/C): Pivotal Roles for MCC and BubR1.

Authors:  Bashar Ibrahim
Journal:  OMICS       Date:  2015-04-14

3.  Coordinated regulation of p31(Comet) and Mad2 expression is required for cellular proliferation.

Authors:  Dipali A Date; Amy C Burrows; Monica Venere; Mark W Jackson; Matthew K Summers
Journal:  Cell Cycle       Date:  2013-10-15       Impact factor: 4.534

4.  Using default constraints of the spindle assembly checkpoint to estimate the associated chemical rates.

Authors:  Khanh Dao Duc; David Holcman
Journal:  BMC Biophys       Date:  2012-01-19       Impact factor: 4.778

5.  Spindle assembly checkpoint is sufficient for complete Cdc20 sequestering in mitotic control.

Authors:  Bashar Ibrahim
Journal:  Comput Struct Biotechnol J       Date:  2015-04-09       Impact factor: 7.271

6.  Active transport can greatly enhance Cdc20:Mad2 formation.

Authors:  Bashar Ibrahim; Richard Henze
Journal:  Int J Mol Sci       Date:  2014-10-21       Impact factor: 5.923

7.  A dynamical model of the spindle position checkpoint.

Authors:  Ayse Koca Caydasi; Maiko Lohel; Gerd Grünert; Peter Dittrich; Gislene Pereira; Bashar Ibrahim
Journal:  Mol Syst Biol       Date:  2012-05-08       Impact factor: 11.429

8.  Spatial rule-based modeling: a method and its application to the human mitotic kinetochore.

Authors:  Bashar Ibrahim; Richard Henze; Gerd Gruenert; Matthew Egbert; Jan Huwald; Peter Dittrich
Journal:  Cells       Date:  2013-07-02       Impact factor: 6.600

9.  Effects of small particle numbers on long-term behaviour in discrete biochemical systems.

Authors:  Peter Kreyssig; Christian Wozar; Stephan Peter; Tomás Veloz; Bashar Ibrahim; Peter Dittrich
Journal:  Bioinformatics       Date:  2014-09-01       Impact factor: 6.937

10.  Spatial-temporal model for silencing of the mitotic spindle assembly checkpoint.

Authors:  Jing Chen; Jian Liu
Journal:  Nat Commun       Date:  2014-09-12       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.