title: In vitro regulatory models for systems biology.
abstract: The reductionist approach has revolutionized biology in the past 50 years. Yet its limits are being felt as the complexity of cellular interactions is gradually revealed by high-throughput technology. In order to make sense of the deluge of "omic data", a hypothesis-driven view is needed to understand how biomolecular interactions shape cellular networks. We review recent efforts aimed at building in vitro biochemical networks that reproduce the flow of genetic regulation. We highlight how those efforts have culminated in the rational construction of biochemical oscillators and bistable memories in test tubes. We also recapitulate the lessons learned about in vivo biochemical circuits such as the importance of delays and competition, the links between topology and kinetics, as well as the intriguing resemblance between cellular reaction networks and ecosystems.
authors: LIMMS/CNRS-IIS, Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.
authors: Anthony J
authors: AJ
authors: Genot
authors: Teruo
authors: T
authors: Fujii
authors: Yannick
authors: Y
authors: Rondelez
mesh_terms: D053263:Gene Regulatory Networks; D057166:High-Throughput Screening Assays; D006801:Humans; D007700:Kinetics; D036103:Nanotechnology / Q000639:trends*; D049490:Systems Biology / Q000639:trends*
keywords: DNA nanotechnology; Dynamical systems; Genetic regulation; Molecular programming; Reaction network; Systems biology