Literature DB >> 26646767

Reproducibility of scratch assays is affected by the initial degree of confluence: Experiments, modelling and model selection.

Wang Jin1, Esha T Shah2, Catherine J Penington1, Scott W McCue1, Lisa K Chopin2, Matthew J Simpson3.   

Abstract

Scratch assays are difficult to reproduce. Here we identify a previously overlooked source of variability which could partially explain this difficulty. We analyse a suite of scratch assays in which we vary the initial degree of confluence (initial cell density). Our results indicate that the rate of re-colonisation is very sensitive to the initial density. To quantify the relative roles of cell migration and proliferation, we calibrate the solution of the Fisher-Kolmogorov model to cell density profiles to provide estimates of the cell diffusivity, D, and the cell proliferation rate, λ. This procedure indicates that the estimates of D and λ are very sensitive to the initial density. This dependence suggests that the Fisher-Kolmogorov model does not accurately represent the details of the collective cell spreading process, since this model assumes that D and λ are constants that ought to be independent of the initial density. Since higher initial cell density leads to enhanced spreading, we also calibrate the solution of the Porous-Fisher model to the data as this model assumes that the cell flux is an increasing function of the cell density. Estimates of D and λ associated with the Porous-Fisher model are less sensitive to the initial density, suggesting that the Porous-Fisher model provides a better description of the experiments.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Cell diffusivity; Cell proliferation rate; Reproducibility; Scratch assay

Mesh:

Year:  2015        PMID: 26646767     DOI: 10.1016/j.jtbi.2015.10.040

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


  16 in total

1.  In vitro cell migration quantification method for scratch assays.

Authors:  Ana Victoria Ponce Bobadilla; Jazmine Arévalo; Eduard Sarró; Helen M Byrne; Philip K Maini; Thomas Carraro; Simone Balocco; Anna Meseguer; Tomás Alarcón
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

2.  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

3.  Learning partial differential equations for biological transport models from noisy spatio-temporal data.

Authors:  John H Lagergren; John T Nardini; G Michael Lavigne; Erica M Rutter; Kevin B Flores
Journal:  Proc Math Phys Eng Sci       Date:  2020-02-19       Impact factor: 2.704

Review 4.  Consensus guidelines for the use and interpretation of angiogenesis assays.

Authors:  Patrycja Nowak-Sliwinska; Kari Alitalo; Elizabeth Allen; Andrey Anisimov; Alfred C Aplin; Robert Auerbach; Hellmut G Augustin; David O Bates; Judy R van Beijnum; R Hugh F Bender; Gabriele Bergers; Andreas Bikfalvi; Joyce Bischoff; Barbara C Böck; Peter C Brooks; Federico Bussolino; Bertan Cakir; Peter Carmeliet; Daniel Castranova; Anca M Cimpean; Ondine Cleaver; George Coukos; George E Davis; Michele De Palma; Anna Dimberg; Ruud P M Dings; Valentin Djonov; Andrew C Dudley; Neil P Dufton; Sarah-Maria Fendt; Napoleone Ferrara; Marcus Fruttiger; Dai Fukumura; Bart Ghesquière; Yan Gong; Robert J Griffin; Adrian L Harris; Christopher C W Hughes; Nan W Hultgren; M Luisa Iruela-Arispe; Melita Irving; Rakesh K Jain; Raghu Kalluri; Joanna Kalucka; Robert S Kerbel; Jan Kitajewski; Ingeborg Klaassen; Hynda K Kleinmann; Pieter Koolwijk; Elisabeth Kuczynski; Brenda R Kwak; Koen Marien; Juan M Melero-Martin; Lance L Munn; Roberto F Nicosia; Agnes Noel; Jussi Nurro; Anna-Karin Olsson; Tatiana V Petrova; Kristian Pietras; Roberto Pili; Jeffrey W Pollard; Mark J Post; Paul H A Quax; Gabriel A Rabinovich; Marius Raica; Anna M Randi; Domenico Ribatti; Curzio Ruegg; Reinier O Schlingemann; Stefan Schulte-Merker; Lois E H Smith; Jonathan W Song; Steven A Stacker; Jimmy Stalin; Amber N Stratman; Maureen Van de Velde; Victor W M van Hinsbergh; Peter B Vermeulen; Johannes Waltenberger; Brant M Weinstein; Hong Xin; Bahar Yetkin-Arik; Seppo Yla-Herttuala; Mervin C Yoder; Arjan W Griffioen
Journal:  Angiogenesis       Date:  2018-08       Impact factor: 9.596

5.  Accurate and efficient discretizations for stochastic models providing near agent-based spatial resolution at low computational cost.

Authors:  Nabil T Fadai; Ruth E Baker; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2019-10-23       Impact factor: 4.118

6.  Identifying density-dependent interactions in collective cell behaviour.

Authors:  Alexander P Browning; Wang Jin; Michael J Plank; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2020-04-29       Impact factor: 4.118

7.  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

8.  The role of Allee effect in modelling post resection recurrence of glioblastoma.

Authors:  Zoltan Neufeld; William von Witt; Dora Lakatos; Jiaming Wang; Balazs Hegedus; Andras Czirok
Journal:  PLoS Comput Biol       Date:  2017-11-17       Impact factor: 4.475

9.  A computational modelling framework to quantify the effects of passaging cell lines.

Authors:  Wang Jin; Catherine J Penington; Scott W McCue; Matthew J Simpson
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

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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