摘要The interactions among proteins, DNA and RNA in an organism form elaborate cell-cycle networks which govern cell growth and proliferation. Understanding the common structure of cell-cycle networks will be of great benefit to science research. Here, inspired by the importance of the cell-cycle regulatory network of yeast which has been studied intensively, we focus on small networks with 11 nodes, equivalent to that of the cell-cycle regulatory network used by Li et al. [Proc. Natl. Acad. Sci. USA 101(2004)4781] Using a Boolean model, we study the correlation between structure and function, and a possible common structure. It is found that cascade-like networks with a great number of interactions between nodes are stable. Based on these findings, we are able to construct synthetic networks that have the same functions as the cell-cycle regulatory network.
Abstract:The interactions among proteins, DNA and RNA in an organism form elaborate cell-cycle networks which govern cell growth and proliferation. Understanding the common structure of cell-cycle networks will be of great benefit to science research. Here, inspired by the importance of the cell-cycle regulatory network of yeast which has been studied intensively, we focus on small networks with 11 nodes, equivalent to that of the cell-cycle regulatory network used by Li et al. [Proc. Natl. Acad. Sci. USA 101(2004)4781] Using a Boolean model, we study the correlation between structure and function, and a possible common structure. It is found that cascade-like networks with a great number of interactions between nodes are stable. Based on these findings, we are able to construct synthetic networks that have the same functions as the cell-cycle regulatory network.
[1] Li F T, Long T, Lu Y, Ouyang Q and Tang C 2004 Proc.Natl. Acad. Sci. USA 101 4781 [2] Zhang Y P, Qian M P, Ouyang Q, Deng M H, Li F T and Tang C2006 Physica D 219 35 [3] Okabe Y, Sasai M 2007 Biophys. J. 93 3451 [4] Davidich M I, Bornholdt S 2008 PLoS ONE 3e1672 [5] Lau K Y, Ganguli S, Tang C 2007 Phys. Rev. E 75 051907 [6] Li F T, Jia X 2006 Chin. Phys. Lett. 23 2307 [7] Tan N, Ouyang Q 2006 J. Theor. Biol. 240 592 [8] Tan N, Zhang Y J, Ouyang Q, Geng Z 2005 Chin. Phys.Lett. 22 2447 [9] Lawrence S, Giles C L 1998 Science 280 98 [10] Lawrence S, Giles C L 1999 Nature 400 107 [11] Faloutsos M., Faloutsos P, Faloutsos C 1999 Comput.Commun. Rev. 29 251 [12] Gao Z Y, Li K P 2005 Chin. Phys. Lett. 222711