Literature DB >> 14764549

CompuCell, a multi-model framework for simulation of morphogenesis.

J A Izaguirre1, R Chaturvedi, C Huang, T Cickovski, J Coffland, G Thomas, G Forgacs, M Alber, G Hentschel, S A Newman, J A Glazier.   

Abstract

MOTIVATION: CompuCell is a multi-model software framework for simulation of the development of multicellular organisms known as morphogenesis. It models the interaction of the gene regulatory network with generic cellular mechanisms, such as cell adhesion, division, haptotaxis and chemotaxis. A combination of a state automaton with stochastic local rules and a set of differential equations, including subcellular ordinary differential equations and extracellular reaction-diffusion partial differential equations, model gene regulation. This automaton in turn controls the differentiation of the cells, and cell-cell and cell-extracellular matrix interactions that give rise to cell rearrangements and pattern formation, e.g. mesenchymal condensation. The cellular Potts model, a stochastic model that accurately reproduces cell movement and rearrangement, models cell dynamics. All these models couple in a controllable way, resulting in a powerful and flexible computational environment for morphogenesis, which allows for simultaneous incorporation of growth and spatial patterning.
RESULTS: We use CompuCell to simulate the formation of the skeletal architecture in the avian limb bud. AVAILABILITY: Binaries and source code for Microsoft Windows, Linux and Solaris are available for download from http://sourceforge.net/projects/compucell/

Mesh:

Year:  2004        PMID: 14764549     DOI: 10.1093/bioinformatics/bth050

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  66 in total

1.  Dynamical mechanisms for skeletal pattern formation in the vertebrate limb.

Authors:  H G E Hentschel; Tilmann Glimm; James A Glazier; Stuart A Newman
Journal:  Proc Biol Sci       Date:  2004-08-22       Impact factor: 5.349

2.  Modeling cellular signaling: taking space into the computation.

Authors:  Michael W Sneddon; Thierry Emonet
Journal:  Nat Methods       Date:  2012-02-28       Impact factor: 28.547

3.  Collective cell motion in endothelial monolayers.

Authors:  A Szabó; R Unnep; E Méhes; W O Twal; W S Argraves; Y Cao; A Czirók
Journal:  Phys Biol       Date:  2010-11-12       Impact factor: 2.583

4.  A multiscale model for avascular tumor growth.

Authors:  Yi Jiang; Jelena Pjesivac-Grbovic; Charles Cantrell; James P Freyer
Journal:  Biophys J       Date:  2005-09-30       Impact factor: 4.033

5.  On multiscale approaches to three-dimensional modelling of morphogenesis.

Authors:  R Chaturvedi; C Huang; B Kazmierczak; T Schneider; J A Izaguirre; T Glimm; H G E Hentschel; J A Glazier; S A Newman; M S Alber
Journal:  J R Soc Interface       Date:  2005-06-22       Impact factor: 4.118

6.  Invasion from a cell aggregate--the roles of active cell motion and mechanical equilibrium.

Authors:  A Szabó; K Varga; T Garay; B Hegedus; A Czirók
Journal:  Phys Biol       Date:  2012-02-07       Impact factor: 2.583

7.  Front instabilities and invasiveness of simulated avascular tumors.

Authors:  Nikodem J Popławski; Ubirajara Agero; J Scott Gens; Maciej Swat; James A Glazier; Alexander R A Anderson
Journal:  Bull Math Biol       Date:  2009-02-21       Impact factor: 1.758

8.  The effects of cell compressibility, motility and contact inhibition on the growth of tumor cell clusters using the Cellular Potts Model.

Authors:  Jonathan F Li; John Lowengrub
Journal:  J Theor Biol       Date:  2013-11-06       Impact factor: 2.691

9.  Growth based morphogenesis of vertebrate limb bud.

Authors:  Yoshihiro Morishita; Yoh Iwasa
Journal:  Bull Math Biol       Date:  2008-07-31       Impact factor: 1.758

10.  From single cells to tissue architecture-a bottom-up approach to modelling the spatio-temporal organisation of complex multi-cellular systems.

Authors:  J Galle; M Hoffmann; G Aust
Journal:  J Math Biol       Date:  2008-04-02       Impact factor: 2.259

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.