Addressing biological uncertainties in engineering gene circuits. Issue 4 (17th December 2015)

• Record Type: Journal Article
• Authors: Zhang, Carolyn; Tsoi, Ryan; You, Lingchong
• Is Part Of: Integrative biology. Volume 8:Issue 4(2016:Apr.)
• Page Start: 456
• Page End: 464
• Publication Date: 2015-12-17
• Subjects: Biology -- Periodicals; Technology -- Periodicals; Biological systems -- Periodicals; 570.5
• DOI: 10.1039/c5ib00275c
• Languages: English
• ISSNs: 1757-9694

Abstract

Abstract : We discuss biological uncertainties that complicate predictable engineering of gene circuits and potential strategies to address these uncertainties. 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.