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Integrative biology : quantitative biosciences from nano to macro
Apr 18, 2016;8 (4): 394-408.

Build to understand: synthetic approaches to biology.

Le-Zhi Wang, Fuqing Wu, Kevin Flores, Ying-Cheng Lai, Xiao Wang
Author Information
  1. Le-Zhi Wang: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA.
PMID: 26686885 DOI: 10.1039/c5ib00252d

Abstract

In this review we discuss how synthetic biology facilitates the task of investigating genetic circuits that are observed in naturally occurring biological systems. Specifically, we give examples where experimentation with synthetic gene circuits has been used to understand four fundamental mechanisms intrinsic to development and disease: multistability, stochastic gene expression, oscillations, and cell-cell communication. Within each area, we also discuss how mathematical modeling has been employed as an essential tool to guide the design of novel gene circuits and as a theoretical basis for exploring circuit topologies exhibiting robust behaviors in the presence of noise.

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Grants

  1. R01 GM106081/NIGMS NIH HHS
  2. GM106081/NIGMS NIH HHS

MeSH Term

Animals
Bacillus subtilis
Cell Communication
Computer Simulation
Feedback, Physiological
Gene Expression
Gene Regulatory Networks
Humans
Models, Genetic
N-Acetylmuramoyl-L-alanine Amidase
Oscillometry
Stochastic Processes
Synthetic Biology

Chemicals

N-Acetylmuramoyl-L-alanine Amidase
Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review
Article has an altmetric score of 3

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