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Effects of 3D geometries on cellular gradient sensing and polarization.
Spill, Fabian; Andasari, Vivi; Mak, Michael; Kamm, Roger D; Zaman, Muhammad H.
Afiliación
  • Spill F; Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston MA 02215, USA. Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Phys Biol ; 13(3): 036008, 2016 06 25.
Article en En | MEDLINE | ID: mdl-27345945
ABSTRACT
During cell migration, cells become polarized, change their shape, and move in response to various internal and external cues. Cell polarization is defined through the spatio-temporal organization of molecules such as PI3K or small GTPases, and is determined by intracellular signaling networks. It results in directional forces through actin polymerization and myosin contractions. Many existing mathematical models of cell polarization are formulated in terms of reaction-diffusion systems of interacting molecules, and are often defined in one or two spatial dimensions. In this paper, we introduce a 3D reaction-diffusion model of interacting molecules in a single cell, and find that cell geometry has an important role affecting the capability of a cell to polarize, or change polarization when an external signal changes direction. Our results suggest a geometrical argument why more roundish cells can repolarize more effectively than cells which are elongated along the direction of the original stimulus, and thus enable roundish cells to turn faster, as has been observed in experiments. On the other hand, elongated cells preferentially polarize along their main axis even when a gradient stimulus appears from another direction. Furthermore, our 3D model can accurately capture the effect of binding and unbinding of important regulators of cell polarization to and from the cell membrane. This spatial separation of membrane and cytosol, not possible to capture in 1D or 2D models, leads to marked differences of our model from comparable lower-dimensional models.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Polaridad Celular / Modelos Biológicos Idioma: En Revista: Phys Biol Asunto de la revista: BIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Polaridad Celular / Modelos Biológicos Idioma: En Revista: Phys Biol Asunto de la revista: BIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos