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.

Original languageEnglish (US)
Pages (from-to)394-408
Number of pages15
JournalIntegrative biology : quantitative biosciences from nano to macro
Volume8
Issue number4
DOIs
StatePublished - Apr 18 2016

Fingerprint

Gene Regulatory Networks
Synthetic Biology
Synthetic Genes
Networks (circuits)
Genes
Cell Communication
Noise
Electric network topology
Biological systems
Gene Expression
Gene expression
Communication

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry

Cite this

Build to understand : synthetic approaches to biology. / Wang, Le Zhi; Wu, Fuqing; Flores, Kevin; Lai, Ying-Cheng; Wang, Xiao.

In: Integrative biology : quantitative biosciences from nano to macro, Vol. 8, No. 4, 18.04.2016, p. 394-408.

Research output: Contribution to journalReview article

@article{84fd3e6f5fb5456681aa5632b5175388,
title = "Build to understand: synthetic approaches to biology",
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.",
author = "Wang, {Le Zhi} and Fuqing Wu and Kevin Flores and Ying-Cheng Lai and Xiao Wang",
year = "2016",
month = "4",
day = "18",
doi = "10.1039/c5ib00252d",
language = "English (US)",
volume = "8",
pages = "394--408",
journal = "Integrative Biology (United Kingdom)",
issn = "1757-9694",
publisher = "Royal Society of Chemistry",
number = "4",

}

TY - JOUR

T1 - Build to understand

T2 - synthetic approaches to biology

AU - Wang, Le Zhi

AU - Wu, Fuqing

AU - Flores, Kevin

AU - Lai, Ying-Cheng

AU - Wang, Xiao

PY - 2016/4/18

Y1 - 2016/4/18

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85015133050&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015133050&partnerID=8YFLogxK

U2 - 10.1039/c5ib00252d

DO - 10.1039/c5ib00252d

M3 - Review article

C2 - 26686885

AN - SCOPUS:85015133050

VL - 8

SP - 394

EP - 408

JO - Integrative Biology (United Kingdom)

JF - Integrative Biology (United Kingdom)

SN - 1757-9694

IS - 4

ER -