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Functional Analysis of Spontaneous Cell Movement under Different Physiological Conditions

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  • Hiroaki Takagi
  • Masayuki J Sato
  • Toshio Yanagida
  • Masahiro Ueda

Abstract

Cells can show not only spontaneous movement but also tactic responses to environmental signals. Since the former can be regarded as the basis to realize the latter, playing essential roles in various cellular functions, it is important to investigate spontaneous movement quantitatively at different physiological conditions in relation to a cell's physiological functions. For that purpose, we observed a series of spontaneous movements by Dictyostelium cells at different developmental periods by using a single cell tracking system. Using statistical analysis of these traced data, we found that cells showed complex dynamics with anomalous diffusion and that their velocity distribution had power-law tails in all conditions. Furthermore, as development proceeded, average velocity and persistency of the movement increased and as too did the exponential behavior in the velocity distribution. Based on these results, we succeeded in applying a generalized Langevin model to the experimental data. With this model, we discuss the relation of spontaneous cell movement to cellular physiological function and its relevance to behavioral strategies for cell survival.

Suggested Citation

  • Hiroaki Takagi & Masayuki J Sato & Toshio Yanagida & Masahiro Ueda, 2008. "Functional Analysis of Spontaneous Cell Movement under Different Physiological Conditions," PLOS ONE, Public Library of Science, vol. 3(7), pages 1-7, July.
    • Handle: RePEc:plo:pone00:0002648
    DOI: 10.1371/journal.pone.0002648
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    Cited by:

    1. Azevedo, T.N. & Rizzi, L.G., 2022. "Time-correlated forces and biological variability in cell motility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    2. Laurent Golé & Charlotte Rivière & Yoshinori Hayakawa & Jean-Paul Rieu, 2011. "A Quorum-Sensing Factor in Vegetative Dictyostelium Discoideum Cells Revealed by Quantitative Migration Analysis," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-9, November.
    3. de Almeida, Rita M.C. & Giardini, Guilherme S.Y. & Vainstein, Mendeli & Glazier, James A. & Thomas, Gilberto L., 2022. "Exact solution for the Anisotropic Ornstein–Uhlenbeck process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    4. Yuta Yamamoto & Shota Miyazaki & Kenshiro Maruyama & Ryo Kobayashi & Minh Nguyen Tuyet Le & Ayumu Kano & Akiko Kondow & Shuji Fujii & Kiyoshi Ohnuma, 2018. "Random migration of induced pluripotent stem cell-derived human gastrulation-stage mesendoderm," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-13, September.
    5. Can Guven & Erin Rericha & Edward Ott & Wolfgang Losert, 2013. "Modeling and Measuring Signal Relay in Noisy Directed Migration of Cell Groups," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-13, May.

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