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Zigzag Turning Preference of Freely Crawling Cells

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  • Taeseok Daniel Yang
  • Jin-Sung Park
  • Youngwoon Choi
  • Wonshik Choi
  • Tae-Wook Ko
  • Kyoung J Lee

Abstract

The coordinated motion of a cell is fundamental to many important biological processes such as development, wound healing, and phagocytosis. For eukaryotic cells, such as amoebae or animal cells, the cell motility is based on crawling and involves a complex set of internal biochemical events. A recent study reported very interesting crawling behavior of single cell amoeba: in the absence of an external cue, free amoebae move randomly with a noisy, yet, discernible sequence of ‘run-and-turns’ analogous to the ‘run-and-tumbles’ of swimming bacteria. Interestingly, amoeboid trajectories favor zigzag turns. In other words, the cells bias their crawling by making a turn in the opposite direction to a previous turn. This property enhances the long range directional persistence of the moving trajectories. This study proposes that such a zigzag crawling behavior can be a general property of any crawling cells by demonstrating that 1) microglia, which are the immune cells of the brain, and 2) a simple rule-based model cell, which incorporates the actual biochemistry and mechanics behind cell crawling, both exhibit similar type of crawling behavior. Almost all legged animals walk by alternating their feet. Similarly, all crawling cells appear to move forward by alternating the direction of their movement, even though the regularity and degree of zigzag preference vary from one type to the other.

Suggested Citation

  • Taeseok Daniel Yang & Jin-Sung Park & Youngwoon Choi & Wonshik Choi & Tae-Wook Ko & Kyoung J Lee, 2011. "Zigzag Turning Preference of Freely Crawling Cells," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-9, June.
  • Handle: RePEc:plo:pone00:0020255
    DOI: 10.1371/journal.pone.0020255
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    References listed on IDEAS

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    1. Yusuke T Maeda & Junya Inose & Miki Y Matsuo & Suguru Iwaya & Masaki Sano, 2008. "Ordered Patterns of Cell Shape and Orientational Correlation during Spontaneous Cell Migration," PLOS ONE, Public Library of Science, vol. 3(11), pages 1-14, November.
    2. Kinneret Keren & Zachary Pincus & Greg M. Allen & Erin L. Barnhart & Gerard Marriott & Alex Mogilner & Julie A. Theriot, 2008. "Mechanism of shape determination in motile cells," Nature, Nature, vol. 453(7194), pages 475-480, May.
    3. Chaoliang Wei & Xianhua Wang & Min Chen & Kunfu Ouyang & Long-Sheng Song & Heping Cheng, 2009. "Calcium flickers steer cell migration," Nature, Nature, vol. 457(7231), pages 901-905, February.
    4. Liang Li & Simon F Nørrelykke & Edward C Cox, 2008. "Persistent Cell Motion in the Absence of External Signals: A Search Strategy for Eukaryotic Cells," PLOS ONE, Public Library of Science, vol. 3(5), pages 1-11, May.
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    Cited by:

    1. Gabriella Bretti & Andrea De Gaetano, 2022. "An Agent-Based Interpretation of Leukocyte Chemotaxis in Cancer-on-Chip Experiments," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
    2. Hyun Gyu Lee & Kyoung J Lee, 2021. "Neighbor-enhanced diffusivity in dense, cohesive cell populations," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-26, September.
    3. Toman, Kellan & Voulgarakis, Nikolaos K., 2022. "Stochastic pursuit-evasion curves for foraging dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    4. Tae-goo Kwon & Taeseok Daniel Yang & Kyoung J Lee, 2016. "Enhancement of Chemotactic Cell Aggregation by Haptotactic Cell-To-Cell Interaction," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-14, April.

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