title: Stochastic probability landscape model for switching efficiency, robustness, and differential threshold for induction of genetic circuit in phage lambda.
abstract: The genetic switch of phage lambda provides a paradigm for studying developmental biology and cell fate. Although there have been numerous experimental and theoretical studies, the mechanisms for switching efficiency, stability and robustness, maintenance of lysogenic state, and the induction lytic state are not fully understood. In this paper, a new method is adopted to account for the full stochasticity typical in small copy events and the exact steady state probability landscape of the genetic circuit of the switch network is computed. The stability and sensitivity of phage lambda switch and its robustness against perturbations derived from our model for wild type and mutants are consistent with experimental data. Our study has revealed likely mechanism of the phage switch network that was previously unknown.
authors.affiliation: Shanghai Center for Systems Biomedicine, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. yfcao@sjtu.edu.cn
authors.forename: Youfang
authors.initials: Y
authors.lastname: Cao
authors.forename: Hsiao-Mei
authors.initials: HM
authors.lastname: Lu
authors.forename: Jie
authors.initials: J
authors.lastname: Liang
mesh_terms: D010582:Bacteriophage lambda / Q000235:genetics*; D003198:Computer Simulation; D004267:DNA Viruses / Q000235:genetics*; D015967:Gene Expression Regulation, Viral / Q000235:genetics*; D008242:Lysogeny / Q000235:genetics*; D008957:Models, Genetic; D011401:Promoter Regions, Genetic / Q000235:genetics*; D014775:Virus Activation / Q000235:genetics*