Volume 15, Issue 9, Pages (May 2005)

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Volume 15, Issue 9, Pages 828-832 (May 2005) Efficient Chromosome Capture Requires a Bias in the ‘Search-and-Capture’ Process during Mitotic-Spindle Assembly  R. Wollman, E.N. Cytrynbaum, J.T. Jones, T. Meyer, J.M. Scholey, A. Mogilner  Current Biology  Volume 15, Issue 9, Pages 828-832 (May 2005) DOI: 10.1016/j.cub.2005.03.019 Copyright © 2005 Elsevier Ltd Terms and Conditions

Figure 1 Biased and Unbiased Search and Capture Schematic of the unbiased (A) and RanGTP-biased (B) search-and-capture models and graphical representation of stochastic simulations. 2-D projection of 3-D simulation of MT dynamics in the unbiased (C) and biased (D) models. MT distribution for the unbiased model (C) was generated with spatially homogeneous optimal catastrophe frequency. Spatially dependent catastrophe frequency for the biased model (in the middle nuclear cross-section) is shown in panel (F). The catastrophe frequency was calculated based on the assumption that it is an exponentially decaying function of the RanGTP concentration with a chemical scale of 10 μM and a value of 0.2 catastrophes per second in the absence of RanGTP. The 3-D distribution of the RanGTP gradient (serial sections in [E]) was calculated based on the assumption of a uniform distribution of chromosomes in the nucleus and linear superposition of exponentially decaying RanGTP gradients centered at each chromosome. The dashed white line represents the position of the nuclear envelope before NEB. Scale bars represent 5 μm. Current Biology 2005 15, 828-832DOI: (10.1016/j.cub.2005.03.019) Copyright © 2005 Elsevier Ltd Terms and Conditions

Figure 2 Distribution of Time until Capture Simulation results summarized as the distribution of time until capture under different assumptions: stabilizing sphere with radius of the nucleus (top: [A and B]), stabilizing sphere with radius of 1.5 times the nuclear radius (middle: [C and D]), and an unbiased model with optimal dynamic instability parameters (bottom: [E and F]). Each model is presented both for 250 searching MTs (left: [A, C, and E]) and 1000 searching MTs (right: [B, D, and F]). Bars are histograms of 1000 simulations, and the dashed line is an estimate of the probability density function obtained from average shifted histograms. Current Biology 2005 15, 828-832DOI: (10.1016/j.cub.2005.03.019) Copyright © 2005 Elsevier Ltd Terms and Conditions

Figure 3 Time-to-Capture Dependence on the Model Parameter Values (A) Results from a parameter scan of effective kinetochore radius from 0.08 (μm) to 1.2 (μm) and number of searching MTs from 100 to 2000. Black region: The average time until capture for both biased and unbiased models is smaller than 30 min. Gray region: The average time until capture is smaller than 30 min only for the biased model. White region: The average time until capture for both models is greater than 30 min. Dashed lines are analytical (radius is inversely proportional to square root of MT number) fits to the stochastic simulations based on Equation S20 in the Supplemental Data. The dash-and-dot circle represents an order-of-magnitude estimate of reasonable biological range. A black dot marks the parameter choice made by Holy and Leibler [2]. (B) The effect of chromosome number on time until capture. Average time until capture with different numbers of chromosomes under three different models: unbiased model with 1000 searching MTs (triangles), biased model with 250 searching MTs (diamonds), and biased model with 1000 searching MTs (circles). Each data point is the average time until capture from 200 simulations. Gray lines are analytical (logarithmic function) fits to the stochastic simulations based on Equations S17 and S19. (C) The unbiased (dot-and-dash) model shows exponential increase of the time to capture as a function of nuclear radius. In the biased (solid) model, the time is proportional to the cube of the radius. A typical experimental observation (nuclear radius and prometaphase time), such as that illustrated in the Figure S1, is shown with the star. Current Biology 2005 15, 828-832DOI: (10.1016/j.cub.2005.03.019) Copyright © 2005 Elsevier Ltd Terms and Conditions