Principles of dynamical modularity in biological regulatory networks

Sci Rep. 2016 Mar 16:6:21957. doi: 10.1038/srep21957.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Animals
  • Cell Cycle / genetics*
  • Cell Division / genetics
  • G2 Phase / genetics
  • Gene Expression Regulation
  • Gene Regulatory Networks*
  • Humans
  • Kinetics
  • Models, Genetic*
  • Phenotype
  • Signal Transduction / genetics*