Literature DB >> 17416390

An immersed boundary framework for modelling the growth of individual cells: an application to the early tumour development.

Katarzyna A Rejniak1.   

Abstract

A biomechanical approach in modelling the growth and division of a single fully deformable cell by using an immersed boundary method with distributed sources is presented, and its application to model the early tumour development is discussed. This mathematical technique couples a continuous description of a viscous incompressible cytoplasm with the dynamics of separate elastic cells, containing their own point nuclei, elastic plasma membranes with membrane receptors, and individually regulated cell processes. This model enables one to focus on the biomechanical properties of individual cells and on communication between cells and their microenvironment, simultaneously allowing for the formation of clusters or sheets of cells that act together as one complex tissue. Several examples of early tumours growing in various geometrical configurations and with distinct conditions of their initiation and progression are also presented to show the strength of our approach in modelling different topologies of the growing tissues in distinct biochemical conditions of the surrounding media.

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Year:  2007        PMID: 17416390     DOI: 10.1016/j.jtbi.2007.02.019

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


  57 in total

1.  An immersed boundary method for simulating a single axisymmetric cell growth and division.

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Journal:  J Math Biol       Date:  2011-10-11       Impact factor: 2.259

2.  An Adaptive Multigrid Algorithm for Simulating Solid Tumor Growth Using Mixture Models.

Authors:  S M Wise; J S Lowengrub; V Cristini
Journal:  Math Comput Model       Date:  2011-01-01

3.  A computational study of the development of epithelial acini: I. Sufficient conditions for the formation of a hollow structure.

Authors:  Katarzyna A Rejniak; Alexander R A Anderson
Journal:  Bull Math Biol       Date:  2008-01-11       Impact factor: 1.758

4.  A dynamic model of the immune response to the onset of a tumor.

Authors:  M Ya Antonovsky; M D Korzukhin
Journal:  Dokl Biochem Biophys       Date:  2013-08-23       Impact factor: 0.788

5.  Cellular morphogenesis in silico.

Authors:  Troy Shinbrot; Young Chun; Carlos Caicedo-Carvajal; Ramsey Foty
Journal:  Biophys J       Date:  2009-08-19       Impact factor: 4.033

Review 6.  Mechanocellular models of epithelial morphogenesis.

Authors:  Alexander G Fletcher; Fergus Cooper; Ruth E Baker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-05-19       Impact factor: 6.237

7.  Dynamic cellular finite-element method for modelling large-scale cell migration and proliferation under the control of mechanical and biochemical cues: a study of re-epithelialization.

Authors:  Jieling Zhao; Youfang Cao; Luisa A DiPietro; Jie Liang
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

8.  Circulating Tumor Cells: When a Solid Tumor Meets a Fluid Microenvironment.

Authors:  Katarzyna A Rejniak
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

9.  Linking changes in epithelial morphogenesis to cancer mutations using computational modeling.

Authors:  Katarzyna A Rejniak; Shizhen E Wang; Nicole S Bryce; Hang Chang; Bahram Parvin; Jerome Jourquin; Lourdes Estrada; Joe W Gray; Carlos L Arteaga; Alissa M Weaver; Vito Quaranta; Alexander R A Anderson
Journal:  PLoS Comput Biol       Date:  2010-08-26       Impact factor: 4.475

10.  Microenvironmental independence associated with tumor progression.

Authors:  Alexander R A Anderson; Mohamed Hassanein; Kevin M Branch; Jenny Lu; Nichole A Lobdell; Julie Maier; David Basanta; Brandy Weidow; Archana Narasanna; Carlos L Arteaga; Albert B Reynolds; Vito Quaranta; Lourdes Estrada; Alissa M Weaver
Journal:  Cancer Res       Date:  2009-11-03       Impact factor: 12.701

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