B Rubinstein et al 2009 Phys. Biol. 6 016005 doi:10.1088/1478-3975/6/1/016005
B Rubinstein1, K Larripa2, P Sommi3 and A Mogilner4
Show affiliationsIn the process of cell division, chromosomes are segregated by mitotic spindles—bipolar microtubule arrays that have a characteristic fusiform shape. Mitotic spindle function is based on motor-generated forces of hundreds of piconewtons. These forces have to deform the spindle, yet the role of microtubule elastic deformations in the spindle remains unclear. Here we solve equations of elasticity theory for spindle microtubules, compare the solutions with shapes of early Drosophila embryo spindles and discuss the biophysical and cell biological implications of this analysis. The model suggests that microtubule bundles in the spindle behave like effective compressed springs with stiffness of the order of tens of piconewtons per micron, that microtubule elasticity limits the motors' power, and that clamping and cross-linking of microtubules are needed to transduce the motors' forces in the spindle. Some data are hard to reconcile with the model predictions, suggesting that cytoskeletal structures laterally reinforce the spindle and/or that rapid microtubule turnover relieves the elastic stresses.
87.16.Nn Motor proteins (myosin, kinesin dynein)
87.16.A- Theory, modeling, and simulations
87.16.Sr Chromosomes, histones
87.19.R- Mechanical and electrical properties of tissues and organs
87.16.Ka Filaments, microtubules, their networks, and supramolecular assemblies
Issue 1 (March 2009)
Received 25 October 2008, accepted for publication 14 January 2009
Published 4 February 2009
B Rubinstein et al 2009 Phys. Biol. 6 016005
V J Law et al 2010 Plasma Sources Sci. Technol. 19 034008
G J van Rooij et al 2009 Plasma Phys. Control. Fusion 51 124037
P M Glover and R Bowtell 2007 Phys. Med. Biol. 52 5119
Simon Davies et al 2001 Physiol. Meas. 22 651
R. Fitzpatrick and A.Y. Aydemir 1996 Nucl. Fusion 36 11
R. Fitzpatrick et al 1993 Nucl. Fusion 33 1533
Hans G Kaper et al 2009 Nonlinearity 22 601
Mark Braverman 2006 Nonlinearity 19 1383
M Hairer 2002 Nonlinearity 15 271