Literature DB >> 32087771

Examining Go-or-Grow Using Fluorescent Cell-Cycle Indicators and Cell-Cycle-Inhibiting Drugs.

Sean T Vittadello1, Scott W McCue2, Gency Gunasingh3, Nikolas K Haass3, Matthew J Simpson2.   

Abstract

The go-or-grow hypothesis states that adherent cells undergo reversible phenotype switching between migratory and proliferative states, with cells in the migratory state being more motile than cells in the proliferative state. Here, we examine go-or-grow in two-dimensional in vitro assays using melanoma cells with fluorescent cell-cycle indicators and cell-cycle-inhibiting drugs. We analyze the experimental data using single-cell tracking to calculate mean diffusivities and compare motility between cells in different cell-cycle phases and in cell-cycle arrest. Unequivocally, our analysis does not support the go-or-grow hypothesis. We present clear evidence that cell motility is independent of the cell-cycle phase and that nonproliferative arrested cells have the same motility as cycling cells.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32087771      PMCID: PMC7091499          DOI: 10.1016/j.bpj.2020.01.036

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


  30 in total

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5.  Mathematical Models for Cell Migration with Real-Time Cell Cycle Dynamics.

Authors:  Sean T Vittadello; Scott W McCue; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

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Review 2.  Cancer metastasis as a non-healing wound.

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3.  Population Dynamics with Threshold Effects Give Rise to a Diverse Family of Allee Effects.

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  3 in total

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