Literature DB >> 28433392

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.

Parvathi Haridas1, Catherine J Penington2, Jacqui A McGovern3, D L Sean McElwain1, Matthew J Simpson4.   

Abstract

Malignant spreading involves the migration of cancer cells amongst other native cell types. For example, in vivo melanoma invasion involves individual melanoma cells migrating through native skin, which is composed of several distinct subpopulations of cells. Here, we aim to quantify how interactions between melanoma and fibroblast cells affect the collective spreading of a heterogeneous population of these cells in vitro. We perform a suite of circular barrier assays that includes: (i) monoculture assays with fibroblast cells; (ii) monoculture assays with SK-MEL-28 melanoma cells; and (iii) a series of co-culture assays initiated with three different ratios of SK-MEL-28 melanoma cells and fibroblast cells. Using immunostaining, detailed cell density histograms are constructed to illustrate how the two subpopulations of cells are spatially arranged within the spreading heterogeneous population. Calibrating the solution of a continuum partial differential equation to the experimental results from the monoculture assays allows us to estimate the cell diffusivity and the cell proliferation rate for the melanoma and the fibroblast cells, separately. Using the parameter estimates from the monoculture assays, we then make a prediction of the spatial spreading in the co-culture assays. Results show that the parameter estimates obtained from the monoculture assays lead to a reasonably accurate prediction of the spatial arrangement of the two subpopulations in the co-culture assays. Overall, the spatial pattern of spreading of the melanoma cells and the fibroblast cells is very similar in monoculture and co-culture conditions. Therefore, we find no clear evidence of any interactions other than cell-to-cell contact and crowding effects.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Cell migration; Cell proliferation; Fibroblast; Melanoma

Mesh:

Year:  2017        PMID: 28433392     DOI: 10.1016/j.jtbi.2017.04.017

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


  8 in total

1.  A one-dimensional individual-based mechanical model of cell movement in heterogeneous tissues and its coarse-grained approximation.

Authors:  R J Murphy; P R Buenzli; R E Baker; M J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2019-07-24       Impact factor: 2.704

2.  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

3.  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

4.  Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling.

Authors:  Günter Schneckenreither; Philipp Tschandl; Claire Rippinger; Christoph Sinz; Dominik Brunmeir; Nikolas Popper; Harald Kittler
Journal:  PLoS Comput Biol       Date:  2021-02-04       Impact factor: 4.475

5.  Quantitative comparison of the spreading and invasion of radial growth phase and metastatic melanoma cells in a three-dimensional human skin equivalent model.

Authors:  Parvathi Haridas; Jacqui A McGovern; Sean D L McElwain; Matthew J Simpson
Journal:  PeerJ       Date:  2017-09-05       Impact factor: 2.984

6.  Three-dimensional experiments and individual based simulations show that cell proliferation drives melanoma nest formation in human skin tissue.

Authors:  Parvathi Haridas; Alexander P Browning; Jacqui A McGovern; D L Sean McElwain; Matthew J Simpson
Journal:  BMC Syst Biol       Date:  2018-03-27

Review 7.  The role of cellular reactive oxygen species in cancer chemotherapy.

Authors:  Haotian Yang; Rehan M Villani; Haolu Wang; Matthew J Simpson; Michael S Roberts; Min Tang; Xiaowen Liang
Journal:  J Exp Clin Cancer Res       Date:  2018-11-01

Review 8.  Computational models of melanoma.

Authors:  Marco Albrecht; Philippe Lucarelli; Dagmar Kulms; Thomas Sauter
Journal:  Theor Biol Med Model       Date:  2020-05-14       Impact factor: 2.432

  8 in total

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