Microtubule Assembly Dynamics at the Nanoscale

Schek, Henry T.; Gardner, Melissa K.; Cheng, Jun; Odde, David J.; Hunt, Alan

doi:10.1016/j.cub.2007.07.011

Cited by 160 publications

(201 citation statements)

References 49 publications

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“…This prediction is very close to recent experimental results obtained for microtubule assembly [57]. Schek and colleagues [57] were able to demonstrate that the GTP-cap has only three subunits at the point when catastrophic microtubule disassembly occurs. These results strongly demonstrate the applicability of our model in predicting events that occur during microtubule formation.…”

Section: Simulation Results and Discussionsupporting

confidence: 89%

“…The probability of the existence of a GTP-cap comprised of only one GTP-tubulin subunit has been suggested previously [56]. This prediction is very close to recent experimental results obtained for microtubule assembly [57]. Schek and colleagues [57] were able to demonstrate that the GTP-cap has only three subunits at the point when catastrophic microtubule disassembly occurs.…”

Section: Simulation Results and Discussionsupporting

confidence: 78%

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Intrinsic microtubule GTP-cap dynamics in semi-confined systems: kinetochore–microtubule interface

et al. 2012

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In order to quantify the intrinsic dynamics associated with the tip of a GTP-cap under semi-confined conditions, such as those within a neuronal cone and at a kinetochoremicrotubule interface, we propose a novel quantitative concept of critical nano local GTPtubulin concentration (CNLC). A simulation of a rate constant of GTP-tubulin hydrolysis, under varying conditions based on this concept, generates results in the range of 0-420 s −1 . These results are in agreement with published experimental data, validating our model. The major outcome of this model is the prediction of 11 random and distinct outbursts of GTP hydrolysis per single layer of a GTP-cap. GTP hydrolysis is accompanied by an energy release and the formation of discrete expanding zones, built by less-stable, skewed GDP-tubulin subunits. We suggest that the front of these expanding zones within the walls of the microtubule represent soliton-like movements of local deformation triggered by energy released from an outburst of hydrolysis. We propose that these solitons might be helpful in addressing a long-standing question relating to the mechanism underlying how GTP-tubulin hydrolysis controls dynamic instability. This result strongly supports the prediction that large conformational movements in tubulin subunits, termed dynamic transitions, occur as a result of the conversion of chemical energy that is triggered by GTP hydrolysis (Satarić et al., Electromagn Biol Med 24:255-264, 2005). Although simple, the concept of CNLC enables the formulation of a rationale to explain the intrinsic nature of the "push-and-pull" mechanism associated with a kinetochore-microtubule complex. In addition, the capacity of the microtubule wall to produce and mediate localized spatiotemporal excitations, i.e., soliton-like bursts of energy coupled with an abundance of microtubules in dendritic spines supports the hypothesis that microtubule dynamics may underlie neural information processing including neurocomputation (Hameroff,

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Section: Simulation Results and Discussionsupporting

confidence: 89%

Section: Simulation Results and Discussionsupporting

confidence: 78%

Intrinsic microtubule GTP-cap dynamics in semi-confined systems: kinetochore–microtubule interface

et al. 2012

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“…Although a variety of quantitative methods have been developed to model protein polymerization dynamics (Haviv et al, 2006;Kozlowski et al, 2007;Schek et al, 2007;Surovtsev et al, 2008;Loose et al, 2008;Cytrynbaum and Marshall, 2007;Lan et al, 2008;Miraldi et al, 2008), many of the properties above have been omitted primarily because of the computational cost and complexity. In this chapter, we extend Spatiocyte to model polymerization of proteins and show that it can incorporate the above properties while still maintaining a reasonable computational time.…”

Section: O D E L I N G M E M B R a N E -B O U N D P O Ly M E R I Z mentioning

confidence: 99%

Modeling Three-Dimensional Spatial Regulation of Bacterial Cell Division (Dissertation)

Arjunan

2010

Nat Prec

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“…Almost all of these polymers are dynamic, carrying out their functions through carefully orchestrated assembly, disassembly and redistribution of polymer subunits. It is becoming increasingly evident that quantitative models of polymerization are necessary to understand the collective dynamics of subunits and interacting molecules (Haviv et al, 2006;Kozlowski et al, 2007;Schek et al, 2007;Surovtsev et al, 2008;Loose et al, 2008). Polymerization models are also used to estimate subunit binding energy and activation rates (Lan et al, 2008).…”

Section: O D E L I N G M E M B R a N E -B O U N D P O Ly M E R I Z mentioning

confidence: 99%

Modeling Three-Dimensional Spatial Regulation of Bacterial Cell Division (Dissertation)

Arjunan

2010

Nature Precedings

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Microtubule Assembly Dynamics at the Nanoscale

Abstract: The data are consistent with a mechanochemical model in which a spatially extended GTP cap allows substantial shortening on the nanoscale, while still preventing complete catastrophe in most cases.

Cited by 160 publications

References 49 publications

Intrinsic microtubule GTP-cap dynamics in semi-confined systems: kinetochore–microtubule interface

Intrinsic microtubule GTP-cap dynamics in semi-confined systems: kinetochore–microtubule interface

Modeling Three-Dimensional Spatial Regulation of Bacterial Cell Division (Dissertation)

Modeling Three-Dimensional Spatial Regulation of Bacterial Cell Division (Dissertation)

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