Geodesic
Quantitative Analysis of Melanocyte Migration in vitro Based on Automated Cell Tracking under Phase Contrast Microscopy Considering the Combined Influence of Cell Division and Cell-Matrix Interactions
V. Letort1 ; S. Fouliard1 ; G. Letort1 ; I. Adanja2 ; M. Kumasaka3, 4 ; S. Gallagher3, 4 ; O. Debeir2 ; L. Larue3, 4 ; F. Xavier1
1 Laboratory of Applied Mathematics, Ecole Centrale Paris, F-92295 Chatenay-Malabry, France
2 Laboratory of Image Synthesis and Analysis (LISA), Faculty of Applied Sciences, Universite Libre de Bruxelles, 1050 Brussels, Belgium
3 Institut Curie, Centre Recherche, Developmental Genetics of Melanocytes, F-91405 Orsay, France
4 CNRS UMR146, F-91405 Orsay, France
Mathematical modelling of natural phenomena, Tome 5 (2010) no. 1, pp. 4-33.

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The aim of this study was to describe and analyze the regulation and spatio-temporal dynamics of melanocyte migration in vitro and its coupling to cell division and interaction with the matrix. The melanocyte lineage is particularly interesting because it is involved in both embryonic development and oncogenesis/metastasis (melanoma). Biological experiments were performed on two melanocyte cell lines established from wild-type and β-catenin-transgenic mice (bcat*). The multi-functional β-catenin molecule is known to be able to regulate the transcription of various genes involved in cell proliferation and migration, particularly in the melanocyte lineage. We also investigated fibronectin, an extra-cellular matrix protein that binds integrins, thereby providing adhesion points for cells and encouraging migration. As the migration of individual cells were followed, automated methods were required for processing the large amount of data generated by the time-lapse video-microscopy. A model-based approach for automated cell tracking was evaluated on a sample by comparison with manual tracking. This method was found reliable in studying overall cell behaviour. Its application to all the observed sequences provided insight into the factors affecting melanocyte migration in vitro: melanocytes of mutated form of β-catenin showed higher division rates and no contact inhibition of growth was induced by the resulting increase in cell density. However, cell density limited the amplitude of cell displacements, although their motility was less affected. The high fibronectin concentration bound to substratum promoted cell migration and motility, the effect being more intense for wild-type cells than for cells with β-catenin over-expression. During the division process, cell migration speed increased rapidly then decreased slowly. Analyses of such data is expected to lead both to biological answers and to a framework for a better modeling processes in the future.
DOI : 10.1051/mmnp/20105101

V. Letort 1 ; S. Fouliard 1 ; G. Letort 1 ; I. Adanja 2 ; M. Kumasaka 3, 4 ; S. Gallagher 3, 4 ; O. Debeir 2 ; L. Larue 3, 4 ; F. Xavier 1

1 Laboratory of Applied Mathematics, Ecole Centrale Paris, F-92295 Chatenay-Malabry, France
2 Laboratory of Image Synthesis and Analysis (LISA), Faculty of Applied Sciences, Universite Libre de Bruxelles, 1050 Brussels, Belgium
3 Institut Curie, Centre Recherche, Developmental Genetics of Melanocytes, F-91405 Orsay, France
4 CNRS UMR146, F-91405 Orsay, France 
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     title = {Quantitative {Analysis} of {Melanocyte} {Migration} in vitro {Based} on {Automated} {Cell} {Tracking} under {Phase} {Contrast} {Microscopy} {Considering} the {Combined} {Influence} of {Cell} {Division} and {Cell-Matrix} {Interactions}},
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V. Letort; S. Fouliard; G. Letort; I. Adanja; M. Kumasaka; S. Gallagher; O. Debeir; L. Larue; F. Xavier. Quantitative Analysis of Melanocyte Migration in vitro Based on Automated Cell Tracking under Phase Contrast Microscopy Considering the Combined Influence of Cell Division and Cell-Matrix Interactions. Mathematical modelling of natural phenomena, Tome 5 (2010) no. 1, pp. 4-33. doi : 10.1051/mmnp/20105101. http://geodesic.mathdoc.fr/articles/10.1051/mmnp/20105101/

[1] M. Abal, M. Piel, V. Bouckson-Castaing, M. Mogensen, J.-B. Sibarita, M. Bornens Microtubule release from the centrosome in migrating cells The Journal of Cell Biology 2002 731 737

[2] S. Allard, P. Adin, L. Goudard, N. Di Clemente, N. Josso, M.-C. Orgebin-Crist, J.-Y. Picard, F. Xavier Molecular mechanisms of hormone-mediated Müllerian duct regression: Involment of beta-catenin Development 2000 3349 360

[3] K.J. Busam, C. Charles, G. Lee, A.C. Halpern Morphologic Features of Melanocytes, Pigmented Keratinocytes, and Melanophages by In Vivo Confocal Scanning Laser Microscopy Mod. Pathol. 2001 862 868

[4] Y. Cheng Mean shift, mode seeking, and clustering IEEE Trans. Pattern Anal. Mach. Intell. 1995 790 799

[5] A. Dammermann, A. Desai, K. Oegema The minus end in sight Current Biology 2003 614 624

[6] O. Debeir, I. Camby, R. Kiss, P. Van Ham, C. Decaescker A Model-Based Approach for Automated In Vitro Cell Tracking and Chemotaxis Analyses Cytometry 2004 29 40

[7] O. Debeir, P. Van Ham, R. Kiss, C. Decaestecker Tracking of Migrating Cells under Phase-contrast Video Microscopy with Combined Mean-Shift Processes IEEE Transaction on Medical Imaging. 2005 697 711

[8] O. Debeir, V. Mégalizzi, N. Warzée, R. Kiss, C. Decaestecker Videomicroscopic extraction of specific information on cell proliferation and migration in vitro Experim. Cell Res. 2008 2985 2998

[9] V. Delmas, F. Beermann, S. Martinozzi, S. Carreira, J. Ackermann, M. Kumasaka, L. Denat, J. Goodall, F. Luciani, A. Viros, N. Demirkan, B.C. Bastian, C.R. Goding, L. Larue beta-catenin induces immortalisation of melanocytes by suppressing p16INK4a expression and co-operates with N-Ras in melanoma development Genes & Dev. 2007 2923 2935

[10] N. Desban, J-L. Duband Avian neural crest cell migration on laminin: interaction of the a11 integrin with distinct laminin-1 domains mediates different adhesive responses J. Cell Sci. 1997 2729 2744

[11] C. Decaestecker, O. Debeir, P. Van Ham, R. Kiss Can anti-migratory drugs be screened in vitro ? A review of 2D and 3D assays for the quantitative analysis of cell migration Inc. Med. Res. Rev. 2007 149 176

[12] R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria., (2008), http://www.R-project.org

[13] P.A. Dimilla, J.A. Stone, J.A. Quinn, S.M. Albelda, D.A. Lauffenburger Maximal Migration of Human Smooth Muscle Cells on Fibronectin and Type IV Collagen Occurs at an Intermediate Attachment Strength J Cell Biol. 1993 729 37

[14] A.J. H, T. Sun, D.C. Barber, D.R. Hose, S. Macneil Automated tracking of migrating cells in phase-contrast video microscopy sequences using image registration J. Microscopy. 2009 62 79

[15] N. Hamilton Quantification and its Applications in Fluorescent Microscopy Imaging Traffic 2009

[16] S. Hazgui, N. Bonnet, J. Cutrona, B. Nawrocki-Raby, M. Polette, L. Chouchane, P. Birembaut, J-M. Zahm 3D culture model and computer assisted videomicroscopy to analyze migratory behavior of noninvasive and invasive bronchial epithelial cells Am. J. Physiol. Cell Physiol. 2005 1547 1552

[17] S.P. Holly, M.K. Larson, L.V. Parise Minireview. Multiple Roles of Integrins in Cell Motility Exp. Cell Res. 2000 69 74

[18] A. Jouneau, Y.-Q. Yu, M. Pasdar, L. Larue Plasticity of Cadherin-Catenin Expression in the Melanocyte Lineage Pigment Cell Res. 2000 260 272

[19] E. Knust, W.B. Huttner Cell polarity from cell division Dev. Cell. 2007 664 666

[20] L. Larue, N. Dougherty, S. Porter, B. Mintz Spontaneous malignant transformation of melanocytes explanted from Wf/Wf mice with a Kit kinase-domain mutation Proc. Natl. Acad. Sci. USA. 1992 7816 7820

[21] L. Larue, M. Kumasaka, C.R. Goding Beta-catenin in the melanocyte lineage Pigment Cell R. 2003 312 317

[22] Y. Lee, L.V. Mcintire, K. Zygourakis Analysis of endothelial cell locomotion: Differential effects of motility and contact inhibition Biotechnol Bioeng. 1994 622 634

[23] T.C. Mayer The migratory pathway of neural crest cells into the skin of mouse embryos Dev. Biol. 1973 39 46

[24] J. Mccarthy, E.A. Turley Effects of Extracellular Matrix Components on Cell Locomotion Critical Reviews in Oral Biology and Medecine. 1993 619 637

[25] D.J. Mooney, R. Langer, D.E. Ingber Cytoskeletal filament assembly and the control of cell spreading and function by extracellular matrix J. Cell Sci. 1995 2311 2320

[26] S.P. Palecek, J.C. Loftus, M.H. Ginsberg, D.A. Lauffenburger, A.F. Horwitz Integrin-ligand binding properties govern cell migration speed through cell-substratum adhesiveness Nature 1997 537 540

[27] A.J. Ridley, M.A. Schwartz, K. Burridge, R.A. Firtel, M.H. Ginsberg, G. Borisy, J.T. Parsons, A.R. Horwitz Cell migration: integrating signals from front to back Science. 2003 1704 1709

[28] C. Rosello, P. Ballet, E. Planus, P. Tracqui Model driven quantification of individual and collective cell migration Acta Biotheoretica 2004 343 363

[29] G. Scott, S. Leopardi, S. Printup, B.C. Madden Filopodia are conduits for melanosome transfer to keratinocytes J. Cell Sci. 2002 1441 1451

[30] A. Stéphanou, E. Mylona, M. Chaplain, P. Tracqui A computational model of cell migration coupling the growth of focal adhesions with oscillatory cell protusions Journal of Theor. Biol. 2008 701 716

[31] M. Tawk, C. Araya, D.A. Lyons, A.M. Reugels, G.C. Girdler, P.R. Bayley, D.R. Hyde, M. Tada, J.D. Clarke A mirror-symmetric cell division that orchestrates neuroepithelial morphogenesis Nature 2007 797 800

[32] M. Théry, V. Racine, A. Pépin, M. Piel, Y. Chen, J.-B. Sibarita, M. Bornens The extracellular matrix guides the orientation of the cell division axis Nature Cell Biology 2005 947 953

[33] A.L. Wilkie, S.A. Jordan, I.J. Jackson Neural crest progenitors of the melanocyte lineage: coat colour patterns revisited Development 2002 3349 57

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