title: Synthetic Biology: A Unifying View and Review Using Analog Circuits.
abstract: We review the field of synthetic biology from an analog circuits and analog computation perspective, focusing on circuits that have been built in living cells. This perspective is well suited to pictorially, symbolically, and quantitatively representing the nonlinear, dynamic, and stochastic (noisy) ordinary and partial differential equations that rigorously describe the molecular circuits of synthetic biology. This perspective enables us to construct a canonical analog circuit schematic that helps unify and review the operation of many fundamental circuits that have been built in synthetic biology at the DNA, RNA, protein, and small-molecule levels over nearly two decades. We review 17 circuits in the literature as particular examples of feedforward and feedback analog circuits that arise from special topological cases of the canonical analog circuit schematic. Digital circuit operation of these circuits represents a special case of saturated analog circuit behavior and is automatically incorporated as well. Many issues that have prevented synthetic biology from scaling are naturally represented in analog circuit schematics. Furthermore, the deep similarity between the Boltzmann thermodynamic equations that describe noisy electronic current flow in subthreshold transistors and noisy molecular flux in biochemical reactions has helped map analog circuit motifs in electronics to analog circuit motifs in cells and vice versa via a `cytomorphic' approach. Thus, a body of knowledge in analog electronic circuit design, analysis, simulation, and implementation may also be useful in the robust and efficient design of molecular circuits in synthetic biology, helping it to scale to more complex circuits in the future.
authors.forename: Jonathan J Y
authors.initials: JJ
authors.lastname: Teo
authors.forename: Sung Sik
authors.initials: SS
authors.lastname: Woo
authors.forename: Rahul
authors.initials: R
authors.lastname: Sarpeshkar
mesh_terms: D000818:Animals; D003198:Computer Simulation; D004247:DNA / Q000378:metabolism*; D006801:Humans; D011506:Proteins / Q000378:metabolism*; D012313:RNA / Q000378:metabolism*; D058615:Synthetic Biology / Q000379:methods*
chemical_list: D011506:Proteins; D012313:RNA; D004247:DNA