Literature DB >> 24787651

Are in vitro estimates of cell diffusivity and cell proliferation rate sensitive to assay geometry?

Katrina K Treloar1, Matthew J Simpson2, D L Sean McElwain3, Ruth E Baker4.   

Abstract

Cells respond to various biochemical and physical cues during wound-healing and tumour progression. in vitro assays used to study these processes are typically conducted in one particular geometry and it is unclear how the assay geometry affects the capacity of cell populations to spread, or whether the relevant mechanisms, such as cell motility and cell proliferation, are somehow sensitive to the geometry of the assay. In this work we use a circular barrier assay to characterise the spreading of cell populations in two different geometries. Assay 1 describes a tumour-like geometry where a cell population spreads outwards into an open space. Assay 2 describes a wound-like geometry where a cell population spreads inwards to close a void. We use a combination of discrete and continuum mathematical models and automated image processing methods to obtain independent estimates of the effective cell diffusivity, D, and the effective cell proliferation rate, λ. Using our parameterised mathematical model we confirm that our estimates of D and λ accurately predict the time-evolution of the location of the leading edge and the cell density profiles for both assay 1 and assay 2. Our work suggests that the effective cell diffusivity is up to 50% lower for assay 2 compared to assay 1, whereas the effective cell proliferation rate is up to 30% lower for assay 2 compared to assay 1.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cancer; Circular barrier assay; Collective cell spreading; Random walk model; Wound-healing

Mesh:

Year:  2014        PMID: 24787651     DOI: 10.1016/j.jtbi.2014.04.026

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  16 in total

1.  Quantifying trophoblast migration: In vitro approaches to address in vivo situations.

Authors:  Joanna James; Win Tun; Alys Clark
Journal:  Cell Adh Migr       Date:  2015-10-19       Impact factor: 3.405

2.  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

3.  Modeling keratinocyte wound healing dynamics: Cell-cell adhesion promotes sustained collective migration.

Authors:  John T Nardini; Douglas A Chapnick; Xuedong Liu; David M Bortz
Journal:  J Theor Biol       Date:  2016-04-19       Impact factor: 2.691

4.  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

5.  Revisiting the Fisher-Kolmogorov-Petrovsky-Piskunov equation to interpret the spreading-extinction dichotomy.

Authors:  Maud El-Hachem; Scott W McCue; Wang Jin; Yihong Du; Matthew J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2019-09-04       Impact factor: 2.704

6.  Creating wounds in cell monolayers using micro-jets.

Authors:  Cristian Soitu; Mirela Panea; Alfonso A Castrejón-Pita; Peter R Cook; Edmond J Walsh
Journal:  Biomicrofluidics       Date:  2021-02-08       Impact factor: 2.800

7.  Exact Solutions of Coupled Multispecies Linear Reaction-Diffusion Equations on a Uniformly Growing Domain.

Authors:  Matthew J Simpson; Jesse A Sharp; Liam C Morrow; Ruth E Baker
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

8.  Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model.

Authors:  Stuart T Johnston; Esha T Shah; Lisa K Chopin; D L Sean McElwain; Matthew J Simpson
Journal:  BMC Syst Biol       Date:  2015-07-19

9.  Spectral analysis of pair-correlation bandwidth: application to cell biology images.

Authors:  Benjamin J Binder; Matthew J Simpson
Journal:  R Soc Open Sci       Date:  2015-02-11       Impact factor: 2.963

10.  Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB.

Authors:  Jan Oldenburg; Lisa Maletzki; Anne Strohbach; Paul Bellé; Stefan Siewert; Raila Busch; Stephan B Felix; Klaus-Peter Schmitz; Michael Stiehm
Journal:  BMC Mol Cell Biol       Date:  2021-06-02
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