Literature DB >> 20043924

A mechanomolecular model for the movement of chromosomes during mitosis driven by a minimal kinetochore bicyclic cascade.

Blerta Shtylla1, James P Keener.   

Abstract

During mitosis chromosomes use a complex network of dynamic microtubules to find the cell equator in preparation for division signals. The roles of cellular chemical signals in mechanisms driving mitotic chromosomal movements are not well understood. In this paper we propose a mathematical model of this process which incorporates a molecular scale model of kinetochore-microtubule interactions into a negative feedback loop between spindle forces and local kinetochore biochemical reactions. This system allows kinetochore biochemical reactions to control and coordinate chromosome movement thus providing a direct connection between mechanical signals and mitosis chemical species. Our feedback control model can recreate chromosome movement from prometaphase to anaphase in good agreement with experimental data. (c) 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20043924     DOI: 10.1016/j.jtbi.2009.12.023

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  Highly Transient Molecular Interactions Underlie the Stability of Kinetochore-Microtubule Attachment During Cell Division.

Authors:  Anatoly V Zaytsev; Fazly I Ataullakhanov; Ekaterina L Grishchuk
Journal:  Cell Mol Bioeng       Date:  2013-12-13       Impact factor: 2.321

Review 2.  Springs, clutches and motors: driving forward kinetochore mechanism by modelling.

Authors:  Elina Vladimirou; Ed Harry; Nigel Burroughs; Andrew D McAinsh
Journal:  Chromosome Res       Date:  2011-04       Impact factor: 5.239

3.  Accurate phosphoregulation of kinetochore-microtubule affinity requires unconstrained molecular interactions.

Authors:  Anatoly V Zaytsev; Lynsie J R Sundin; Keith F DeLuca; Ekaterina L Grishchuk; Jennifer G DeLuca
Journal:  J Cell Biol       Date:  2014-06-30       Impact factor: 10.539

4.  CellDynaMo-stochastic reaction-diffusion-dynamics model: Application to search-and-capture process of mitotic spindle assembly.

Authors:  Evgenii Kliuchnikov; Artem Zhmurov; Kenneth A Marx; Alex Mogilner; Valeri Barsegov
Journal:  PLoS Comput Biol       Date:  2022-06-03       Impact factor: 4.779

  4 in total

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