Summary of 36-Torisawa-MolDynEg5

SSBD:database URL
Relase date
Updated date
Image data based on Experiment
Number of Datasets
3 ( Image datasets: 3, Quantitative data datasets: 0 )
Size of Datasets
7.9 GB ( Image datasets: 7.9 GB, Quantitative data datasets: 0 bytes )

Gene symbol(s)
Protein tag(s)

microtubule dynamics
Molecular Function (MF)
Biological Process (BP)
Cellular Component (CC)
Biological Imaging Method
XYZ Scale
XY: 1.2401 micrometer per pixel, Z: NA
T scale
1 minute for each time interval

Image Acquisition
Experiment type
Microscope type
Acquisition mode
Contrast method
Microscope model
Nikon Eclipse Ti-E Microscope +A1plus confocal system
Detector model
A1-DU4 4 Detector Unit
Objective model
Nikon Plan Apo VC 20x DIC N2
Filter set

Related paper(s)

Takayuki Torisawa, Daisuke Taniguchi, Shuji Ishihara, Kazuhiro Oiwa (2016) Spontaneous Formation of a Globally Connected Contractile Network in a Microtubule-Motor System., Biophysical journal, Volume 111, Number 2, pp. 373-385

Published in 2016 Jul 26

(Abstract) Microtubule (MT) networks play key roles in cell division, intracellular transport, and cell motility. These functions of MT networks occur through interactions between MTs and various associated proteins, notably motor proteins that bundle and slide MTs. Our objective in this study was to address the question of how motors determine the nature of MT networks. We conducted in vitro assays using homotetrameric kinesin Eg5, a motor protein involved in the formation and maintenance of the mitotic spindle. The mixing of Eg5 and MTs produced a range of spatiotemporal dynamics depending on the motor/filament ratio. Low motor/filament ratios produced globally connected static MT networks with sparsely distributed contractile active nodes (motor-accumulating points with radially extending MTs). Increasing the motor/filament ratio facilitated the linking of contractile active nodes and led to a global contraction of the network. When the motor/filament ratio was further increased, densely distributed active nodes formed local clusters and segmented the network into pieces with their strong contractile forces. Altering the properties of the motor through the use of chimeric Eg5, which has kinesin-1 heads, resulted in the generation of many isolated asters. These results suggest that the spatial distribution of contractile active nodes determines the dynamics of MT-motor networks. We then developed a coarse-grained model of MT-motor networks and identified two essential features for reproducing the experimentally observed patterns: an accumulation of motors that form the active nodes necessary to generate contractile forces, and a nonlinear dependency of contractile force on motor densities. Our model also enabled us to characterize the mechanical properties of the contractile network. Our study provides insight into how local motor-MT interactions generate the spatiotemporal dynamics of macroscopic network structures.
(MeSH Terms)

Kazuhiro Oiwa , National Institute of Information and Communications Technology , Advanced ICT Research Institute
Takayuki Torisawa, Daisuke Taniguchi, Shuji Ishihara, Kazuhiro Oiwa

Dataset List of 36-Torisawa-MolDynEg5

Dataset ID
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# 1001
Datast ID Fig1C_MT-Eg5
Dataset Kind Image data
Dataset Size 1.4 GB
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# 1002
Datast ID Fig2A_MT-Eg5
Dataset Kind Image data
Dataset Size 3.0 GB
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# 1003
Datast ID Fig3A_MT-Eg5
Dataset Kind Image data
Dataset Size 3.5 GB
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