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Deterministic mechanical model of T-killer cell polarization reproduces the wandering of aim between simultaneously engaged targets

Kim, M and Maly, IV (2009) Deterministic mechanical model of T-killer cell polarization reproduces the wandering of aim between simultaneously engaged targets. PLoS Computational Biology, 5 (1). ISSN 1553-734X

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Abstract

T-killer cells of the immune system eliminate virus-infected and tumorous cells through direct cell-cell interactions. Reorientation of the killing apparatus inside the T cell to the T-cell interface with the target cell ensures specificity of the immune response. The killing apparatus can also oscillate next to the cell-cell interface. When two target cells are engaged by the T cell simultaneously, the killing apparatus can oscillate between the two interface areas. This oscillation is one of the most striking examples of cell movements that give the microscopist an unmechanistic impression of the cell's fidgety indecision. We have constructed a three-dimensional, numerical biomechanical model of the molecular-motor-driven microtubule cytoskeleton that positions the killing apparatus. The model demonstrates that the cortical pulling mechanism is indeed capable of orienting the killing apparatus into the functional position under a range of conditions. The model also predicts experimentally testable limitations of this commonly hypothesized mechanism of T-cell polarization. After the reorientation, the numerical solution exhibits complex, multidirectional, multiperiodic, and sustained oscillations in the absence of any external guidance or stochasticity. These computational results demonstrate that the strikingly animate wandering of aim in T-killer cells has a purely mechanical and deterministic explanation. © 2009 Kim, Maly.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Kim, M
Maly, IV
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorPapin, Jason A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 1 January 2009
Date Type: Publication
Journal or Publication Title: PLoS Computational Biology
Volume: 5
Number: 1
DOI or Unique Handle: 10.1371/journal.pcbi.1000260
Schools and Programs: School of Medicine > Computational Biology
Refereed: Yes
ISSN: 1553-734X
PubMed Central ID: PMC2603019
PubMed ID: 19132078
Date Deposited: 24 Jul 2012 18:53
Last Modified: 29 Jan 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/13098

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