IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v668y2025ics037843712500216x.html
   My bibliography  Save this article

A compartmentalized model to directional sensing: How can an amoeboid cell unify pointwise external signals as an integrated entity?

Author

Listed:
  • Eidi, Zahra
  • Sadeghi, Mehdi

Abstract

After exposure to an external chemical attractant, eukaryotic cells rely on several internal cellular downstream signal transduction pathways to control their chemotactic machinery. These pathways are spatially activated, ultimately leading to symmetry breaking around the cell periphery through the redistribution of various biochemicals such as polymerized actin for propulsion and the assembly of myosin II for retraction, typically at opposite sides of the cell. In this study, we propose a compartment-based design to model this process, known as directional sensing. Our model features a network of excitable elements around the cell circumference that are occasionally stimulated with local colored noise. These elements can share information with their close neighbors. We demonstrate that this dynamic can distinguish a temporary but sufficiently long-lasting direction statistically pointing toward the gradient of external stimulants, which can be interpreted as the preferred orientation of the cell periphery during the directional sensing process in eukaryotes.

Suggested Citation

  • Eidi, Zahra & Sadeghi, Mehdi, 2025. "A compartmentalized model to directional sensing: How can an amoeboid cell unify pointwise external signals as an integrated entity?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 668(C).
  • Handle: RePEc:eee:phsmap:v:668:y:2025:i:c:s037843712500216x
    DOI: 10.1016/j.physa.2025.130564
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843712500216X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2025.130564?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. repec:plo:pbio00:0050221 is not listed on IDEAS
    2. Leonard Bosgraaf & Peter J M Van Haastert, 2009. "The Ordered Extension of Pseudopodia by Amoeboid Cells in the Absence of External Cues," PLOS ONE, Public Library of Science, vol. 4(4), pages 1-13, April.
    3. Daniel Schindler & Ted Moldenhawer & Maike Stange & Valentino Lepro & Carsten Beta & Matthias Holschneider & Wilhelm Huisinga, 2021. "Analysis of protrusion dynamics in amoeboid cell motility by means of regularized contour flows," PLOS Computational Biology, Public Library of Science, vol. 17(8), pages 1-33, August.
    4. Daniel Schindler & Ted Moldenhawer & Carsten Beta & Wilhelm Huisinga & Matthias Holschneider, 2024. "Three-component contour dynamics model to simulate and analyze amoeboid cell motility in two dimensions," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-34, January.
    5. Ming Tang & Mingjie Wang & Changji Shi & Pablo A. Iglesias & Peter N. Devreotes & Chuan-Hsiang Huang, 2014. "Evolutionarily conserved coupling of adaptive and excitable networks mediates eukaryotic chemotaxis," Nature Communications, Nature, vol. 5(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koji Iwamoto & Satomi Matsuoka & Masahiro Ueda, 2025. "Excitable Ras dynamics-based screens reveal RasGEFX is required for macropinocytosis and random cell migration," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
    2. repec:plo:pcbi00:1003122 is not listed on IDEAS
    3. George R. R. Bell & Esther Rincón & Emel Akdoğan & Sean R. Collins, 2021. "Optogenetic control of receptors reveals distinct roles for actin- and Cdc42-dependent negative signals in chemotactic signal processing," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    4. 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.
    5. 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.
    6. Daniel Schindler & Ted Moldenhawer & Carsten Beta & Wilhelm Huisinga & Matthias Holschneider, 2024. "Three-component contour dynamics model to simulate and analyze amoeboid cell motility in two dimensions," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-34, January.
    7. Peter J M Van Haastert, 2010. "A Model for a Correlated Random Walk Based on the Ordered Extension of Pseudopodia," PLOS Computational Biology, Public Library of Science, vol. 6(8), pages 1-11, August.
    8. Visakan Kadirkamanathan & Sean R Anderson & Stephen A Billings & Xiliang Zhang & Geoffrey R Holmes & Constantino C Reyes-Aldasoro & Philip M Elks & Stephen A Renshaw, 2012. "The Neutrophil's Eye-View: Inference and Visualisation of the Chemoattractant Field Driving Cell Chemotaxis In Vivo," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-11, April.
    9. Robert M Cooper & Ned S Wingreen & Edward C Cox, 2012. "An Excitable Cortex and Memory Model Successfully Predicts New Pseudopod Dynamics," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-12, March.
    10. Chopra, Abha & Nanjundiah, Vidyanand, 2013. "The precision with which single cells of Dictyostelium discoideum can locate a source of cyclic AMP," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 3-12.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:668:y:2025:i:c:s037843712500216x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.