Addressing biological uncertainties in engineering gene circuits.

Journal Article (Review;Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Zhang, C; Tsoi, R; You, L

Published Date

  • April 2016

Published In

Volume / Issue

  • 8 / 4

Start / End Page

  • 456 - 464

PubMed ID

  • 26674800

Pubmed Central ID

  • PMC4837052

Electronic International Standard Serial Number (EISSN)

  • 1757-9708

International Standard Serial Number (ISSN)

  • 1757-9694

Digital Object Identifier (DOI)

  • 10.1039/c5ib00275c


  • eng