Evidence map›Paper›PMID 27463139›Full record

ArticleBiophysical journal2016

Spontaneous Formation of a Globally Connected Contractile Network in a Microtubule-Motor System.

Takayuki Torisawa, Daisuke Taniguchi, Shuji Ishihara, Kazuhiro Oiwa

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Cross-linker design determines microtubule network organization by opposing motors.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Shape multistability in flexible tubular crystals through interactions of mobile dislocations.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Extensile to contractile transition in active microtubule-actin composites generates layered asters with programmable lifetimes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Tuning the Properties of Active Microtubule Networks by Depletion Forces.Langmuir : the ACS journal of surfaces and colloids · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Tunable corrugated patterns in an active nematic sheet.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Filament rigidity and connectivity tune the deformation modes of active biopolymer networks.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Takayuki TorisawaNational Institute of Information and Communications Technology, Advanced ICT Research Institute, Kobe, Hyogo, Japan.
Daisuke TaniguchiDepartment of Physics, Meiji University, Kawasaki, Kanagawa, Japan.
Shuji IshiharaDepartment of Physics, Meiji University, Kawasaki, Kanagawa, Japan.
Kazuhiro OiwaNational Institute of Information and Communications Technology, Advanced ICT Research Institute, Kobe, Hyogo, Japan. Electronic address: oiwa@nict.go.jp.
Meiji University · JPNational Institute of Information and Communications Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Mechanical PhenomenaActinsBiomechanical PhenomenaElasticityHEK293 CellsHumansKinesinsMicrotubulesModels, BiologicalProtein MultimerizationProtein Structure, QuaternarySpindle ApparatusActinsKIF11 protein, humanKinesins

Identifiers

PMID27463139
PMCPMC4968425
OpenAlexW2493927721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.