Literature DB >> 31577530

Behaviors of individual microtubules and microtubule populations relative to critical concentrations: dynamic instability occurs when critical concentrations are driven apart by nucleotide hydrolysis.

Erin M Jonasson1,2, Ava J Mauro1,3,4, Chunlei Li3, Ellen C Labuz1, Shant M Mahserejian3, Jared P Scripture1, Ivan V Gregoretti1, Mark Alber3,5, Holly V Goodson1,6.   

Abstract

The concept of critical concentration (CC) is central to understanding the behavior of microtubules (MTs) and other cytoskeletal polymers. Traditionally, these polymers are understood to have one CC, measured in multiple ways and assumed to be the subunit concentration necessary for polymer assembly. However, this framework does not incorporate dynamic instability (DI), and there is work indicating that MTs have two CCs. We use our previously established simulations to confirm that MTs have (at least) two experimentally relevant CCs and to clarify the behavior of individuals and populations relative to the CCs. At free subunit concentrations above the lower CC (CCElongation), growth phases of individual filaments can occur transiently; above the higher CC (CCNetAssembly), the population's polymer mass will increase persistently. Our results demonstrate that most experimental CC measurements correspond to CCNetAssembly, meaning that "typical" DI occurs below the concentration traditionally considered necessary for polymer assembly. We report that [free tubulin] at steady state does not equal CCNetAssembly, but instead approaches CCNetAssembly asymptotically as [total tubulin] increases, and depends on the number of stable MT nucleation sites. We show that the degree of separation between CCElongation and CCNetAssembly depends on the rate of nucleotide hydrolysis. This clarified framework helps explain and unify many experimental observations.

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Year:  2019        PMID: 31577530      PMCID: PMC7202068          DOI: 10.1091/mbc.E19-02-0101

Source DB:  PubMed          Journal:  Mol Biol Cell        ISSN: 1059-1524            Impact factor:   4.138


  64 in total

1.  Theoretical analysis of microtubule dynamics at all times.

Authors:  Xin Li; Anatoly B Kolomeisky
Journal:  J Phys Chem B       Date:  2014-11-21       Impact factor: 2.991

2.  Random hydrolysis controls the dynamic instability of microtubules.

Authors:  Ranjith Padinhateeri; Anatoly B Kolomeisky; David Lacoste
Journal:  Biophys J       Date:  2012-03-20       Impact factor: 4.033

3.  Size distribution of protein polymers.

Authors:  F Oosawa
Journal:  J Theor Biol       Date:  1970-04       Impact factor: 2.691

4.  Evidence for an ATP cap at the ends of actin filaments and its regulation of the F-actin steady state.

Authors:  M F Carlier; D Pantaloni; E D Korn
Journal:  J Biol Chem       Date:  1984-08-25       Impact factor: 5.157

5.  Interference of GTP hydrolysis in the mechanism of microtubule assembly: an experimental study.

Authors:  M F Carlier; T L Hill; Y Chen
Journal:  Proc Natl Acad Sci U S A       Date:  1984-02       Impact factor: 11.205

6.  Modulation of the Polymerization Kinetics of α/β-Tubulin by Osmolytes and Macromolecular Crowding.

Authors:  Paul Hendrik Schummel; Mimi Gao; Roland Winter
Journal:  Chemphyschem       Date:  2016-12-01       Impact factor: 3.102

7.  Contribution of plus and minus end pathways to microtubule turnover.

Authors:  I A Vorobjev; V I Rodionov; I V Maly; G G Borisy
Journal:  J Cell Sci       Date:  1999-07       Impact factor: 5.285

8.  Dynamic instability of individual microtubules analyzed by video light microscopy: rate constants and transition frequencies.

Authors:  R A Walker; E T O'Brien; N K Pryer; M F Soboeiro; W A Voter; H P Erickson; E D Salmon
Journal:  J Cell Biol       Date:  1988-10       Impact factor: 10.539

9.  The size of the EB cap determines instantaneous microtubule stability.

Authors:  Christian Duellberg; Nicholas I Cade; David Holmes; Thomas Surrey
Journal:  Elife       Date:  2016-04-06       Impact factor: 8.140

10.  Signatures of a macroscopic switching transition for a dynamic microtubule.

Authors:  J S Aparna; Ranjith Padinhateeri; Dibyendu Das
Journal:  Sci Rep       Date:  2017-04-04       Impact factor: 4.379

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  4 in total

1.  Effects of random hydrolysis on biofilament length distributions in a shared subunit pool.

Authors:  Sankeert Satheesan; Binayak Banerjee; Dipjyoti Das
Journal:  Biophys J       Date:  2021-12-23       Impact factor: 4.033

Review 2.  Molecular mechanisms underlying microtubule growth dynamics.

Authors:  Joseph M Cleary; William O Hancock
Journal:  Curr Biol       Date:  2021-05-24       Impact factor: 10.900

3.  Quantification of microtubule stutters: dynamic instability behaviors that are strongly associated with catastrophe.

Authors:  Shant M Mahserejian; Jared P Scripture; Ava J Mauro; Elizabeth J Lawrence; Erin M Jonasson; Kristopher S Murray; Jun Li; Melissa Gardner; Mark Alber; Marija Zanic; Holly V Goodson
Journal:  Mol Biol Cell       Date:  2022-02-02       Impact factor: 3.612

Review 4.  Cutting, Amplifying, and Aligning Microtubules with Severing Enzymes.

Authors:  Yin-Wei Kuo; Jonathon Howard
Journal:  Trends Cell Biol       Date:  2020-11-09       Impact factor: 21.167

  4 in total

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