title: Addressing biological uncertainties in engineering gene circuits.
abstract: Synthetic biology has grown tremendously over the past fifteen years. It represents a new strategy to develop biological understanding and holds great promise for diverse practical applications. Engineering of a gene circuit typically involves computational design of the circuit, selection of circuit components, and test and optimization of circuit functions. A fundamental challenge in this process is the predictable control of circuit function due to multiple layers of biological uncertainties. These uncertainties can arise from different sources. We categorize these uncertainties into incomplete quantification of parts, interactions between heterologous components and the host, or stochastic dynamics of chemical reactions and outline potential design strategies to minimize or exploit them.
authors.affiliation: Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA.
authors.forename: Carolyn
authors.initials: C
authors.lastname: Zhang
authors.forename: Ryan
authors.initials: R
authors.lastname: Tsoi
authors.forename: Lingchong
authors.initials: L
authors.lastname: You
mesh_terms: D000818:Animals; D004926:Escherichia coli / Q000235:genetics; D053263:Gene Regulatory Networks; D005818:Genetic Engineering / Q000379:methods*; D006358:Hot Temperature; D006801:Humans; D006863:Hydrogen-Ion Concentration; D007700:Kinetics; D008027:Light; D008956:Models, Chemical; D012984:Software; D013269:Stochastic Processes; D058615:Synthetic Biology / Q000379:methods*; D014158:Transcription, Genetic