Osmotic stress affects functional properties of human melanoma cell lines

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• 作者：Caterina A. M. La Porta (1)
  Anna Ghilardi (1)
  Maria Pasini (1)
  Lasse Laurson (2) (3)
  Mikko J. Alava (2) (3)
  Stefano Zapperi (3) (4) (5) (6)
  Martine Ben Amar (7) (8)
  
  1. Department of Biosciences ; University of Milano ; via Celoria 26 ; 20133 ; Milano ; Italy
  2. COMP Centre of Excellence ; Aalto University ; P.O. Box 14100 ; FIN-00076 ; Aalto ; Espoo ; Finland
  3. Department of Applied Physics ; Aalto University ; P.O. Box 14100 ; FIN-00076 ; Aalto ; Espoo ; Finland
  4. Physics Department ; University of Milano ; via Celoria 16 ; 20133 ; Milano ; Italy
  5. CNR-IENI ; Via R. Cozzi 53 ; 20125 ; Milano ; Italy
  6. ISI Foundation ; Via Alassio 11C ; 10126 ; Torino ; Italy
  7. Laboratoire de Physique Statistique ; Ecole Normale Sup茅rieure ; UPMC Univ Paris 06 ; Universit茅 Paris Diderot ; CNRS ; 24 rue Lhomond ; 75005 ; Paris ; France
  8. Institut Universitaire de Canc茅rologie ; Facult茅 de m茅decine ; Universit茅 Pierre et Marie Curie-Paris 6 ; 91 boulevard de l鈥檋么pital ; 75013 ; Paris ; France
  
• 刊名：The European Physical Journal Plus
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：130
• 期：4
• 全文大小：6,684 KB
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• 刊物类别：Physics and Astronomy
• 刊物主题：Condensed Matter Physics
  Statistical Physics, Dynamical Systems and Complexity
  Atomic, Molecular, Optical and Plasma Physics
  Applied and Technical Physics
  Theoretical, Mathematical and Computational Physics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：2190-5444

文摘

Understanding the role of microenvironment in cancer growth and metastasis is a key issue for cancer research. Here, we study the effect of osmotic pressure on the functional properties of primary and metastatic melanoma cell lines. In particular, we experimentally quantify individual cell motility and transmigration capability. We then perform a circular scratch assay to study how a cancer cell front invades an empty space. Our results show that primary melanoma cells are sensitive to a low osmotic pressure, while metastatic cells are less. To better understand the experimental results, we introduce and study a continuous model for the dynamics of a cell layer and a stochastic discrete model for cell proliferation and diffusion. The two models capture essential features of the experimental results and allow to make predictions for a wide range of experimentally measurable parameters.