Literature DB >> 23053820

Microtubule length dependence of motor traffic in cells.

Yunxin Zhang1.   

Abstract

Motor proteins in living cells, such as kinesin and dynein, can move processively along the microtubule (MT), and can also detach from or attach to MT stochastically. Experiments found that the traffic of motors along MT may be jammed; thus various theoretical models were designed to understand this process. However, previous studies mainly focused on motor attachment/detachment rate dependent properties. Leduc et al. recently found that the traffic jam of motor protein Kip3 depends on MT length (Proc. Natl. Acad. Sci. U.S.A. 109, 6100 (2012)). Therefore, this study discusses the MT length-dependent properties of motor traffic. The results showed that MT length has one critical value N(c); a traffic jam occurs only when MT length N > N(c). The jammed MT length increases with total MT length N , whereas the non-jammed MT length may not change monotonically with N . The critical value N(c) increases with motor detachment rate from MT, but decreases with motor attachment rate to MT. Therefore, the traffic of motors will be more likely to be jammed when the MT is long, motor detachment rate is high, and motor detachment rate is low.

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Year:  2012        PMID: 23053820     DOI: 10.1140/epje/i2012-12101-3

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  17 in total

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5.  Molecular crowding creates traffic jams of kinesin motors on microtubules.

Authors:  Cécile Leduc; Kathrin Padberg-Gehle; Vladimír Varga; Dirk Helbing; Stefan Diez; Jonathon Howard
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-19       Impact factor: 11.205

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Journal:  Trends Biochem Sci       Date:  2003-10       Impact factor: 13.807

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  2 in total

1.  A stochastic model that explains axonal organelle pileups induced by a reduction of molecular motors.

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Journal:  J R Soc Interface       Date:  2018-11-28       Impact factor: 4.118

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Journal:  Eur Phys J E Soft Matter       Date:  2014-09-30       Impact factor: 1.890

  2 in total

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