Literature DB >> 20643054

Bimodal analysis reveals a general scaling law governing nondirected and chemotactic cell motility.

J Scott Gruver1, Alka A Potdar, Junhwan Jeon, Jiqing Sai, Bridget Anderson, Donna Webb, Ann Richmond, Vito Quaranta, Peter T Cummings, Chang Y Chung.   

Abstract

Cell motility is a fundamental process with relevance to embryonic development, immune response, and metastasis. Cells move either spontaneously, in a nondirected fashion, or in response to chemotactic signals, in a directed fashion. Even though they are often studied separately, both forms of motility share many complex processes at the molecular and subcellular scale, e.g., orchestrated cytoskeletal rearrangements and polarization. In addition, at the cellular level both types of motility include persistent runs interspersed with reorientation pauses. Because there is a great range of variability in motility among different cell types, a key challenge in the field is to integrate these multiscale processes into a coherent framework. We analyzed the motility of Dictyostelium cells with bimodal analysis, a method that compares time spent in persistent versus reorientation mode. Unexpectedly, we found that reorientation time is coupled with persistent time in an inverse correlation and, surprisingly, the inverse correlation holds for both nondirected and chemotactic motility, so that the full range of Dictyostelium motility can be described by a single scaling relationship. Additionally, we found an identical scaling relationship for three human cell lines, indicating that the coupling of reorientation and persistence holds across species and making it possible to describe the complexity of cell motility in a surprisingly general and simple manner. With this new perspective, we analyzed the motility of Dictyostelium mutants, and found four in which the coupling between two modes was altered. Our results point to a fundamental underlying principle, described by a simple scaling law, unifying mechanisms of eukaryotic cell motility at several scales. Copyright (c) 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20643054      PMCID: PMC2905119          DOI: 10.1016/j.bpj.2010.03.073

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  35 in total

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3.  Cell motility as persistent random motion: theories from experiments.

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Journal:  Phys Rev Lett       Date:  2005-05-16       Impact factor: 9.161

5.  Biased random walk by stochastic fluctuations of chemoattractant-receptor interactions at the lower limit of detection.

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6.  3'-phosphoinositides regulate the coordination of speed and accuracy during chemotaxis.

Authors:  J S Gruver; J P Wikswo; C Y Chung
Journal:  Biophys J       Date:  2008-08-01       Impact factor: 4.033

7.  A Dictyostelium homologue of WASP is required for polarized F-actin assembly during chemotaxis.

Authors:  Scott A Myers; Ji W Han; Yoonsung Lee; Richard A Firtel; Chang Y Chung
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8.  A stochastic model for leukocyte random motility and chemotaxis based on receptor binding fluctuations.

Authors:  R T Tranquillo; D A Lauffenburger; S H Zigmond
Journal:  J Cell Biol       Date:  1988-02       Impact factor: 10.539

9.  An actin-based wave generator organizes cell motility.

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Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

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Journal:  J Cell Biol       Date:  2007-09-24       Impact factor: 10.539

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  5 in total

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2.  An attenuating role of a WASP-related protein, WASP-B, in the regulation of F-actin polymerization and pseudopod formation via the regulation of RacC during Dictyostelium chemotaxis.

Authors:  Chang Y Chung; Alexander Feoktistov; Ryan J Hollingsworth; Francisco Rivero; Nicole S Mandel
Journal:  Biochem Biophys Res Commun       Date:  2013-06-17       Impact factor: 3.575

3.  Interplay Between the Persistent Random Walk and the Contact Inhibition of Locomotion Leads to Collective Cell Behaviors.

Authors:  Abdel-Rahman Hassan; Thomas Biel; David M Umulis; Taeyoon Kim
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4.  A quorum-sensing factor in vegetative Dictyostelium discoideum cells revealed by quantitative migration analysis.

Authors:  Laurent Golé; Charlotte Rivière; Yoshinori Hayakawa; Jean-Paul Rieu
Journal:  PLoS One       Date:  2011-11-03       Impact factor: 3.240

5.  An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment.

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Journal:  Sci Rep       Date:  2020-07-31       Impact factor: 4.379

  5 in total

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