Modeling pathways of differentiation in genetic regulatory networks with Boolean networks

被引:10
|
作者
Dealy, S
Kauffman, S
Socolar, J
机构
[1] Univ New Mexico, Dept Comp Sci, Albuquerque, NM 87131 USA
[2] Univ Calgary, Inst Biocomplex & Informat, Calgary, AB T2N 1N4, Canada
[3] Duke Univ, Dept Phys, Durham, NC 27708 USA
[4] Duke Univ, Ctr Nonlinear & Complex Syst, Durham, NC 27708 USA
关键词
model genetic networks; cell differentiation; gene array; nonlinear dynamics; Boolean networks;
D O I
10.1002/cplx.20100
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We have carried out the first examination of pathways of cell differentiation in model genetic networks in which cell types are assumed to be attractors of the nonlinear dynamics, and difterentiation corresponds to a transition of the cell to a new basin of attraction, which may be induced by a signal or noise perturbation. The associated flow along a transient to a new attractor corresponds to a pathway of differentiation. We have measured a variety of features of such model pathways of differentiation, most of which should be observable using gene array techniques. (c) 2005 Wiley Periodicals, Inc.
引用
收藏
页码:52 / 60
页数:9
相关论文
共 50 条
  • [31] Genetic Regulatory Networks
    Dougherty, Edward R.
    Akutsu, Tatsuya
    Cristea, Paul Dan
    Tewfik, Ahmed H.
    [J]. EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY, 2007, (01):
  • [32] Structural stability analysis of gene regulatory networks modeled by Boolean networks
    Liang, Shuang
    Zhao, Guodong
    Li, Haitao
    Ding, Xueying
    [J]. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2019, 42 (07) : 2221 - 2230
  • [33] Accelerated analysis of Boolean gene regulatory networks
    Purandare, Mitra
    Polig, Raphael
    Hagleitner, Christoph
    [J]. 2017 27TH INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS (FPL), 2017,
  • [34] Detecting controlling nodes of boolean regulatory networks
    Schober, Steffen
    Kracht, David
    Heckel, Reinhard
    Bossert, Martin
    [J]. EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY, 2011, (01):
  • [35] Evolving Boolean regulatory networks with epigenetic control
    Bull, Larry
    [J]. BIOSYSTEMS, 2014, 116 : 36 - 42
  • [36] The maximal coordination principle in regulatory Boolean networks
    Poindron, Alexis
    [J]. JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2024, 142
  • [37] A Boolean algorithm for reconstructing the structure of regulatory networks
    Mehra, S
    Hu, WS
    Karypis, G
    [J]. METABOLIC ENGINEERING, 2004, 6 (04) : 326 - 339
  • [38] Automatic Design of Boolean Networks for Cell Differentiation
    Braccini, Michele
    Roli, Andrea
    Villani, Marco
    Serra, Roberto
    [J]. ADVANCES IN ARTIFICIAL LIFE, EVOLUTIONARY COMPUTATION, AND SYSTEMS CHEMISTRY, WIVACE 2016, 2017, 708 : 91 - 102
  • [39] Effects of an RNA control layer on the state space of Boolean models of genetic regulatory networks
    Hallinan, Jennifer S.
    Bradley, Daniel R.
    Mattick, John S.
    Wiles, Janet
    [J]. 2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, : 2536 - 2540
  • [40] Boolean dynamics of genetic regulatory networks inferred from microarray time series data
    Martin, Shawn
    Zhang, Zhaoduo
    Martino, Anthony
    Faulon, Jean-Loup
    [J]. BIOINFORMATICS, 2007, 23 (07) : 866 - 874