Multi-model simulations of chicken limb morphogenesis

被引:0
|
作者
Chaturvedi, R
Izaguirre, JA [1 ]
Huang, C
Cickovski, T
Virtue, P
Thomas, G
Forgacs, G
Alber, M
Hentschel, G
Newman, SA
Glazier, JA
机构
[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA
[2] Univ Notre Dame, Dept Phys, Notre Dame, IN 46556 USA
[3] Univ Missouri, Dept Phys, Columbia, MO 65201 USA
[4] Univ Missouri, Dept Biol, Columbia, MO 65201 USA
[5] Univ Notre Dame, Dept Math, Notre Dame, IN 46556 USA
[6] Emory Univ, Dept Phys, Atlanta, GA 30322 USA
[7] New York Med Coll, Dept Cell Biol & Anat, Valhalla, NY 10595 USA
[8] Indiana Univ, Biocomplex Inst, Bloomington, IN 47405 USA
[9] Indiana Univ, Dept Phys, Bloomington, IN 47405 USA
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Early development of multicellular organisms (morphogenesis) is a complex phenomenon. We present COMPUCELL, a multi-model software framework for simulations of morphogenesis. As an example, we simulate the formation of the skeletal pattern in the avian limb bud, which requires simulations based on interactions of the genetic regulatory network with generic cellular mechanisms (cell adhesion, haptotaxis, and chemotaxis). A combination of a rule-based state automaton and sets of differential equations, both subcellular ordinary differential equations (ODEs) and domain-level reaction-diffusion partial differential equations (PDEs) models genetic regulation. This regulation controls the differentiation of cells, and also cell-cell and cell-extracellular matrix interactions that give rise to cell pattern formation and cell rearrangements such as mesenchymal condensation. The cellular Potts model (CPM) models cell dynamics (cell movement and rearrangement). These models couple; COMPUCELL provides an integrated framework for such computations. Binaries for Microsoft Windows and Solaris are available(1). Source code is available on request, via email: compucell@cse.nd.edu.
引用
收藏
页码:39 / 49
页数:11
相关论文
共 50 条
  • [1] CompuCell, a multi-model framework for simulation of morphogenesis
    Izaguirre, JA
    Chaturvedi, R
    Huang, C
    Cickovski, T
    Coffland, J
    Thomas, G
    Forgacs, G
    Alber, M
    Hentschel, G
    Newman, SA
    Glazier, JA
    BIOINFORMATICS, 2004, 20 (07) : 1129 - 1137
  • [2] Towards an Engineering Methodology for Multi-Model Scientific Simulations
    Margara, Alessandro
    Pezze, Mauro
    Pivkin, Igor V.
    Santoro, Mauro
    2015 IEEE/ACM 1ST INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR HIGH PERFORMANCE COMPUTING IN SCIENCE (SE4HPCS), 2015, : 51 - 55
  • [3] Fog Simulations Based on Multi-Model System: A Feasibility Study
    Shi, Chune
    Wang, Lei
    Zhang, Hao
    Zhang, Su
    Deng, Xueliang
    Li, Yaosun
    Qiu, Mingyan
    PURE AND APPLIED GEOPHYSICS, 2012, 169 (5-6) : 941 - 960
  • [4] Fog Simulations Based on Multi-Model System: A Feasibility Study
    Chune Shi
    Lei Wang
    Hao Zhang
    Su Zhang
    Xueliang Deng
    Yaosun Li
    Mingyan Qiu
    Pure and Applied Geophysics, 2012, 169 : 941 - 960
  • [5] Oceanic forcing of the global warming slowdown in multi-model simulations
    Xu, Xinping
    He, Shengping
    Furevik, Tore
    Gao, Yongqi
    Wang, Huijun
    Li, Fei
    Ogawa, Fumiaki
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 40 (14) : 5829 - 5842
  • [6] Evaluation and application of Bayesian multi-model estimation in temperature simulations
    Miao, Chiyuan
    Duan, Qingyun
    Sun, Qiaohong
    Li, Jianduo
    PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2013, 37 (06): : 727 - 744
  • [7] Spatiotemporal patterns of changes in maximum and minimum temperatures in multi-model simulations
    Zhou, Liming
    Dickinson, Robert E.
    Dirmeyer, Paul
    Dai, Aiguo
    Min, Seung-Ki
    GEOPHYSICAL RESEARCH LETTERS, 2009, 36
  • [8] The Development of Multi-model Rehabilitation Training System for Lower Limb Sitting Function
    Wu, Jianfeng
    Sun, Yue
    Wu, Qun
    2017 5TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2017), 2017, 1834
  • [9] Multi-model partitioning the multi-model evolutionary framework for intelligent control
    Lainiotis, DG
    PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2000, : P15 - P20
  • [10] A Multi-Model Controller
    Delmotte, F.
    Lauber, J.
    Guerra, T. M.
    2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 1526 - 1531