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Addressing biological uncertainties in engineering gene circuits.

Publication ,  Journal Article
Zhang, C; Tsoi, R; You, L
Published in: Integrative biology : quantitative biosciences from nano to macro
April 2016

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.

Duke Scholars

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Published In

Integrative biology : quantitative biosciences from nano to macro

DOI

EISSN

1757-9708

ISSN

1757-9694

Publication Date

April 2016

Volume

8

Issue

4

Start / End Page

456 / 464

Related Subject Headings

  • Transcription, Genetic
  • Synthetic Biology
  • Stochastic Processes
  • Software
  • Models, Chemical
  • Light
  • Kinetics
  • Hydrogen-Ion Concentration
  • Humans
  • Hot Temperature
 

Citation

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Zhang, C., Tsoi, R., & You, L. (2016). Addressing biological uncertainties in engineering gene circuits. Integrative Biology : Quantitative Biosciences from Nano to Macro, 8(4), 456–464. https://doi.org/10.1039/c5ib00275c
Zhang, Carolyn, Ryan Tsoi, and Lingchong You. “Addressing biological uncertainties in engineering gene circuits.Integrative Biology : Quantitative Biosciences from Nano to Macro 8, no. 4 (April 2016): 456–64. https://doi.org/10.1039/c5ib00275c.
Zhang C, Tsoi R, You L. Addressing biological uncertainties in engineering gene circuits. Integrative biology : quantitative biosciences from nano to macro. 2016 Apr;8(4):456–64.
Zhang, Carolyn, et al. “Addressing biological uncertainties in engineering gene circuits.Integrative Biology : Quantitative Biosciences from Nano to Macro, vol. 8, no. 4, Apr. 2016, pp. 456–64. Epmc, doi:10.1039/c5ib00275c.
Zhang C, Tsoi R, You L. Addressing biological uncertainties in engineering gene circuits. Integrative biology : quantitative biosciences from nano to macro. 2016 Apr;8(4):456–464.
Journal cover image

Published In

Integrative biology : quantitative biosciences from nano to macro

DOI

EISSN

1757-9708

ISSN

1757-9694

Publication Date

April 2016

Volume

8

Issue

4

Start / End Page

456 / 464

Related Subject Headings

  • Transcription, Genetic
  • Synthetic Biology
  • Stochastic Processes
  • Software
  • Models, Chemical
  • Light
  • Kinetics
  • Hydrogen-Ion Concentration
  • Humans
  • Hot Temperature