Literature DB >> 29539409

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

Sean T Vittadello1, Scott W McCue1, Gency Gunasingh2, Nikolas K Haass3, Matthew J Simpson4.   

Abstract

The fluorescent ubiquitination-based cell cycle indicator, also known as FUCCI, allows the visualization of the G1 and S/G2/M cell cycle phases of individual cells. FUCCI consists of two fluorescent probes, so that cells in the G1 phase fluoresce red and cells in the S/G2/M phase fluoresce green. FUCCI reveals real-time information about cell cycle dynamics of individual cells, and can be used to explore how the cell cycle relates to the location of individual cells, local cell density, and different cellular microenvironments. In particular, FUCCI is used in experimental studies examining cell migration, such as malignant invasion and wound healing. Here we present, to our knowledge, new mathematical models that can describe cell migration and cell cycle dynamics as indicated by FUCCI. The fundamental model describes the two cell cycle phases, G1 and S/G2/M, which FUCCI directly labels. The extended model includes a third phase, early S, which FUCCI indirectly labels. We present experimental data from scratch assays using FUCCI-transduced melanoma cells, and show that the predictions of spatial and temporal patterns of cell density in the experiments can be described by the fundamental model. We obtain numerical solutions of both the fundamental and extended models, which can take the form of traveling waves. These solutions are mathematically interesting because they are a combination of moving wavefronts and moving pulses. We derive and confirm a simple analytical expression for the minimum wave speed, as well as exploring how the wave speed depends on the spatial decay rate of the initial condition.
Copyright © 2018 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29539409      PMCID: PMC5883567          DOI: 10.1016/j.bpj.2017.12.041

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


  33 in total

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2.  Lineage correlations of single cell division time as a probe of cell-cycle dynamics.

Authors:  Oded Sandler; Sivan Pearl Mizrahi; Noga Weiss; Oded Agam; Itamar Simon; Nathalie Q Balaban
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3.  Quantifying rates of cell migration and cell proliferation in co-culture barrier assays reveals how skin and melanoma cells interact during melanoma spreading and invasion.

Authors:  Parvathi Haridas; Catherine J Penington; Jacqui A McGovern; D L Sean McElwain; Matthew J Simpson
Journal:  J Theor Biol       Date:  2017-04-20       Impact factor: 2.691

4.  Predicting stem cell fate changes by differential cell cycle progression patterns.

Authors:  Marta Roccio; Daniel Schmitter; Marlen Knobloch; Yuya Okawa; Daniel Sage; Matthias P Lutolf
Journal:  Development       Date:  2012-11-28       Impact factor: 6.868

5.  An organometallic protein kinase inhibitor pharmacologically activates p53 and induces apoptosis in human melanoma cells.

Authors:  Keiran S M Smalley; Rooha Contractor; Nikolas K Haass; Angela N Kulp; G Ekin Atilla-Gokcumen; Douglas S Williams; Howard Bregman; Keith T Flaherty; Maria S Soengas; Eric Meggers; Meenhard Herlyn
Journal:  Cancer Res       Date:  2007-01-01       Impact factor: 12.701

6.  Optimal Quantification of Contact Inhibition in Cell Populations.

Authors:  David J Warne; Ruth E Baker; Matthew J Simpson
Journal:  Biophys J       Date:  2017-10-13       Impact factor: 4.033

7.  Integrated Molecular and Clinical Analysis of AKT Activation in Metastatic Melanoma.

Authors:  Michael A Davies; Katherine Stemke-Hale; E Lin; Carmen Tellez; Wanleng Deng; Yennu N Gopal; Scott E Woodman; Tiffany C Calderone; Zhenlin Ju; Alexander J Lazar; Victor G Prieto; Kenneth Aldape; Gordon B Mills; Jeffrey E Gershenwald
Journal:  Clin Cancer Res       Date:  2009-12-15       Impact factor: 12.531

8.  Up-regulated expression of zonula occludens protein-1 in human melanoma associates with N-cadherin and contributes to invasion and adhesion.

Authors:  Keiran S M Smalley; Patricia Brafford; Nikolas K Haass; Johanna M Brandner; Eric Brown; Meenhard Herlyn
Journal:  Am J Pathol       Date:  2005-05       Impact factor: 4.307

9.  Radiation survival of murine and human melanoma cells utilizing two assay systems: monolayer and soft agar.

Authors:  K H Yohem; D J Slymen; M D Bregman; F L Meyskens
Journal:  Br J Cancer       Date:  1988-01       Impact factor: 7.640

10.  Cell Cycle Phase-Specific Drug Resistance as an Escape Mechanism of Melanoma Cells.

Authors:  Kimberley A Beaumont; David S Hill; Sheena M Daignault; Goldie Y L Lui; Danae M Sharp; Brian Gabrielli; Wolfgang Weninger; Nikolas K Haass
Journal:  J Invest Dermatol       Date:  2016-03-10       Impact factor: 8.551

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  11 in total

1.  Mathematical models incorporating a multi-stage cell cycle replicate normally-hidden inherent synchronization in cell proliferation.

Authors:  Sean T Vittadello; Scott W McCue; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2019-08-21       Impact factor: 4.118

2.  Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art.

Authors:  David J Warne; Ruth E Baker; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

3.  Watching the Internal Clock of Cells while They Move and Divide.

Authors:  Barry D Hughes
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

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

Authors:  Sean T Vittadello; Scott W McCue; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson
Journal:  Biophys J       Date:  2020-02-05       Impact factor: 4.033

5.  Practical parameter identifiability for spatio-temporal models of cell invasion.

Authors:  Matthew J Simpson; Ruth E Baker; Sean T Vittadello; Oliver J Maclaren
Journal:  J R Soc Interface       Date:  2020-03-04       Impact factor: 4.118

6.  Synchronized oscillations in growing cell populations are explained by demographic noise.

Authors:  Enrico Gavagnin; Sean T Vittadello; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson; Tim Rogers; Christian A Yates
Journal:  Biophys J       Date:  2021-02-20       Impact factor: 4.033

Review 7.  Imaging developmental cell cycles.

Authors:  Abraham Q Kohrman; Rebecca P Kim-Yip; Eszter Posfai
Journal:  Biophys J       Date:  2021-05-06       Impact factor: 3.699

Review 8.  Microenvironment-Driven Dynamic Heterogeneity and Phenotypic Plasticity as a Mechanism of Melanoma Therapy Resistance.

Authors:  Farzana Ahmed; Nikolas K Haass
Journal:  Front Oncol       Date:  2018-05-24       Impact factor: 6.244

9.  Designing and interpreting 4D tumour spheroid experiments.

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Journal:  Commun Biol       Date:  2022-01-24

10.  A Continuum Mathematical Model of Substrate-Mediated Tissue Growth.

Authors:  Maud El-Hachem; Scott W McCue; Matthew J Simpson
Journal:  Bull Math Biol       Date:  2022-03-02       Impact factor: 1.758

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