Principles of dynamical modularity in biological regulatory networks
Intractable diseases such as cancer are associated with breakdown in multiple individual functions, which conspire to create unhealthy phenotype-combinations. An important challenge is to decipher how these functions are coordinated in health and disease. We approach this by drawing on dynamical systems theory. We posit that distinct phenotype-combinations are generated by interactions among robust regulatory switches, each in control of a discrete set of phenotypic outcomes. First, we demonstrate the advantage of characterizing multi-switch regulatory systems in terms of their constituent switches by building a multiswitch cell cycle model which points to novel, testable interactions critical for early G2/M commitment to division. Second, we define quantitative measures of dynamical modularity, namely that global cell states are discrete combinations of switch-level phenotypes. Finally, we formulate three general principles that govern the way coupled switches coordinate their function.
Deritei, Dávid; Aird, William C.; Ercsey-Ravasz, Mária; and Regan, Erzsébet Ravasz, "Principles of dynamical modularity in biological regulatory networks" (2016). Scientific Reports, , 21957-. 10.1038/srep21957. Retrieved from https://openworks.wooster.edu/facpub/378