Literature DB >> 12324403

Concentration dependence of variability in growth rates of microtubules.

Susan Pedigo1, Robley C Williams.   

Abstract

Growth and shortening of microtubules in the course of their polymerization and depolymerization have previously been observed to occur at variable rates. To gain insight into the meaning of this prominent variability, we studied the way in which its magnitude depends on the growth rate of experimentally observed and computer-simulated microtubules. The dynamic properties of plus-ended microtubules nucleated by pieces of Chlamydomonas flagellar axonemes were observed in real time by video-enhanced differential interference contrast light microscopy at differing tubulin concentrations. By means of a Monte Carlo algorithm, populations of microtubules were simulated that had similar growth and dynamic properties to the experimentally observed microtubules. By comparison of the experimentally observed and computer-simulated populations of microtubules, we found that 1) individual microtubules displayed an intrinsic variability that did not change as the rate of growth for a population increased, and 2) the variability was approximately fivefold greater than predicted by a simple model of subunit addition and loss. The model used to simulate microtubule growth has no provision for incorporation of lattice defects of any type, nor sophisticated geometry of the growing end. Thus, these as well as uncontrolled experimental variables were eliminated as causes for the prominent variability.

Mesh:

Year:  2002        PMID: 12324403      PMCID: PMC1302274          DOI: 10.1016/S0006-3495(02)73946-5

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  51 in total

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Journal:  J Mol Biol       Date:  2000-05-12       Impact factor: 5.469

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Journal:  Anal Biochem       Date:  1976-05-07       Impact factor: 3.365

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Journal:  Nature       Date:  1986 Jun 5-11       Impact factor: 49.962

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Journal:  Nature       Date:  1984 Nov 15-21       Impact factor: 49.962

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Authors:  H W Detrich; R C Williams
Journal:  Biochemistry       Date:  1978-09-19       Impact factor: 3.162

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Authors:  R C Williams; J C Lee
Journal:  Methods Enzymol       Date:  1982       Impact factor: 1.600

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Authors:  M F Carlier; D Pantaloni
Journal:  Biochemistry       Date:  1981-03-31       Impact factor: 3.162

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Authors:  G B Pierson; P R Burton; R H Himes
Journal:  J Cell Biol       Date:  1978-01       Impact factor: 10.539

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  15 in total

1.  A molecular-mechanical model of the microtubule.

Authors:  Maxim I Molodtsov; Elena A Ermakova; Emmanuil E Shnol; Ekaterina L Grishchuk; J Richard McIntosh; Fazly I Ataullakhanov
Journal:  Biophys J       Date:  2005-02-18       Impact factor: 4.033

2.  Force production by depolymerizing microtubules: a theoretical study.

Authors:  M I Molodtsov; E L Grishchuk; A K Efremov; J R McIntosh; F I Ataullakhanov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

3.  A model for intracellular trafficking of adenoviral vectors.

Authors:  Anh-Tuan Dinh; Theo Theofanous; Samir Mitragotri
Journal:  Biophys J       Date:  2005-06-24       Impact factor: 4.033

4.  Microtubules: mechanical meets chemical.

Authors:  Henry T Schek; Alan J Hunt
Journal:  Biophys J       Date:  2005-08-12       Impact factor: 4.033

5.  Microtubule assembly of isotypically purified tubulin and its mixtures.

Authors:  Vahid Rezania; Olga Azarenko; Mary Ann Jordan; Hannes Bolterauer; Richard F Ludueña; J Torin Huzil; Jack A Tuszynski
Journal:  Biophys J       Date:  2008-05-23       Impact factor: 4.033

6.  Mechanical aspects of microtubule bundling in taxane-treated circulating tumor cells.

Authors:  MunJu Kim; Katarzyna A Rejniak
Journal:  Biophys J       Date:  2014-09-02       Impact factor: 4.033

7.  Microtubule assembly dynamics at the nanoscale.

Authors:  Henry T Schek; Melissa K Gardner; Jun Cheng; David J Odde; Alan J Hunt
Journal:  Curr Biol       Date:  2007-08-02       Impact factor: 10.834

8.  Microtubule Growth Rates Are Sensitive to Global and Local Changes in Microtubule Plus-End Density.

Authors:  Zachary M Geisterfer; Daniel Y Zhu; Timothy J Mitchison; John Oakey; Jesse C Gatlin
Journal:  Curr Biol       Date:  2020-06-11       Impact factor: 10.834

9.  Mathematical modelling and numerical simulation of the morphological development of neurons.

Authors:  Bruce P Graham; Arjen van Ooyen
Journal:  BMC Neurosci       Date:  2006-10-30       Impact factor: 3.288

10.  Growth rate-dependent flexural rigidity of microtubules influences pattern formation in collective motion.

Authors:  Hang Zhou; Naoto Isozaki; Kazuya Fujimoto; Ryuji Yokokawa
Journal:  J Nanobiotechnology       Date:  2021-07-19       Impact factor: 10.435

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