Analysis for Gene Networks of Colon Cancer Based on Logical Relationships

Abstract

Genome forms gene networks in terms of complicated interaction to realize its functions. The fundamental principle that “the structure of system determines its function” inspires researchers to contrast the differences between the structure of gene networks for experimental and control groups to get useful information of molecular mechanism of the formation of cancer. In this research, the higher-order logical networks are constructed through reverse network modeling based on the expression data of phylogenetic profiles of cancer-related genes in the normal and diseased stages. Through contrasting of the network structure between experimental and control groups, such obvious differences in the structural components of networks are found as the number of non-isolated nodes and the logical relationships, the distribution of logic motifs of 2-order. Furthermore, the dynamical behaviors of logical networks of the commander genes of experimental and control groups are simulated and analyzed respectively and significant differences in dynamical stability are discovered. When the above method is applied to the expression data of different stages of other cancers, revelatory differences of the variation of reaction modes for the formation and development of cancer can be given, which is useful for the study of the mechanism of the development of cancer.