Summary of ssbd-repos-000122

Name
ssbd-repos-000122 (122-Ikeda-WormSwimming)
URL
DOI
-

Title
A set of time-lapse imaging data of the C. elegans adults during swimming
Description

Time-lapse imaging data of the C. elegans adults during swimming

Submited Date
2019-03-19
Release Date
2019-04-19
Updated Date
-
License
Funding information
-
File formats
IPYNB, TXT, MP4, PNG, F4, DOCX, PPTX
Data size
17.6 GB

Organism
C. elegans
Strain
N2, egl-4(n479)
Cell Line
-
Genes
-
Proteins
-

GO Molecular Function (MF)
-
GO Biological Process (BP)
Swimming behavior
GO Cellular Component (CC)
-
Study Type
-
Imaging Methods
-

Method Summary

Long-term video recording, Microfluidic device

Related paper(s)

Yusaku Ikeda, Peter Jurica, Hiroshi Kimura, Hiroaki Takagi, Zbigniew R Struzik, Ken Kiyono, Yukinobu Arata, Yasushi Sako (2020) C. elegans episodic swimming is driven by multifractal kinetics., Scientific reports, Volume 10, Number 1, pp. 14775

Published in 2020 Sep 8 (Electronic publication in Sept. 8, 2020, midnight )

(Abstract) Fractal scaling is a common property of temporal change in various modes of animal behavior. The molecular mechanisms of fractal scaling in animal behaviors remain largely unexplored. The nematode C. elegans alternates between swimming and resting states in a liquid solution. Here, we report that C. elegans episodic swimming is characterized by scale-free kinetics with long-range temporal correlation and local temporal clusterization, namely consistent with multifractal kinetics. Residence times in actively-moving and inactive states were distributed in a power law-based scale-free manner. Multifractal analysis showed that temporal correlation and temporal clusterization were distinct between the actively-moving state and the inactive state. These results indicate that C. elegans episodic swimming is driven by transition between two behavioral states, in which each of two transition kinetics follows distinct multifractal kinetics. We found that a conserved behavioral modulator, cyclic GMP dependent kinase (PKG) may regulate the multifractal kinetics underlying an animal behavior. Our combinatorial analysis approach involving molecular genetics and kinetics provides a platform for the molecular dissection of the fractal nature of physiological and behavioral phenomena.
(MeSH Terms)

Contact(s)
Yukinobu Arata
Organization(s)
RIKEN , Cluster of Pioneering Research , Sako Celluler Informatics Laboratory
Image Data Contributors
Yusaku Ikeda, Peter Jurica, Hiroshi Kimura, Hiroaki Takagi, Yuki Shindo, Struzik Zbigniew, Yukinobu Arata, Yasushi Sako
Quantitative Data Contributors

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