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A Thermodynamic Model of Microtubule Assembly and Disassembly

Overview of attention for article published in PLOS ONE, August 2009
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Title
A Thermodynamic Model of Microtubule Assembly and Disassembly
Published in
PLOS ONE, August 2009
DOI 10.1371/journal.pone.0006378
Pubmed ID
Authors

Bernard M. A. G. Piette, Junli Liu, Kasper Peeters, Andrei Smertenko, Timothy Hawkins, Michael Deeks, Roy Quinlan, Wojciech J. Zakrzewski, Patrick J. Hussey

Abstract

Microtubules are self-assembling polymers whose dynamics are essential for the normal function of cellular processes including chromosome separation and cytokinesis. Therefore understanding what factors effect microtubule growth is fundamental to our understanding of the control of microtubule based processes. An important factor that determines the status of a microtubule, whether it is growing or shrinking, is the length of the GTP tubulin microtubule cap. Here, we derive a Monte Carlo model of the assembly and disassembly of microtubules. We use thermodynamic laws to reduce the number of parameters of our model and, in particular, we take into account the contribution of water to the entropy of the system. We fit all parameters of the model from published experimental data using the GTP tubulin dimer attachment rate and the lateral and longitudinal binding energies of GTP and GDP tubulin dimers at both ends. Also we calculate and incorporate the GTP hydrolysis rate. We have applied our model and can mimic published experimental data, which formerly suggested a single layer GTP tubulin dimer microtubule cap, to show that these data demonstrate that the GTP cap can fluctuate and can be several microns long.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 2 4%
Germany 2 4%
France 1 2%
Unknown 50 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 11 19%
Professor > Associate Professor 8 14%
Student > Master 5 9%
Professor 4 7%
Other 10 18%
Unknown 5 9%
Readers by discipline Count As %
Physics and Astronomy 15 26%
Agricultural and Biological Sciences 14 25%
Biochemistry, Genetics and Molecular Biology 8 14%
Chemistry 4 7%
Mathematics 3 5%
Other 7 12%
Unknown 6 11%