Accurate prediction of gene feedback circuit behavior from component properties

Nitzan Rosenfeld; Jonathan W. Young; Uri Alon; Peter S. Swain; Michael B. Elowitz

doi:10.1038/msb4100185

Accurate prediction of gene feedback circuit behavior from component properties

Nitzan Rosenfeld, Jonathan W. Young, Uri Alon, Peter S. Swain, Michael B. Elowitz

Research output: Contribution to journal › Article › peer-review

Abstract

A basic assumption underlying synthetic biology is that analysis of genetic circuit elements, such as regulatory proteins and promoters, can be used to understand and predict the behavior of circuits containing those elements. To test this assumption, we used time-lapse fluorescence microscopy to quantitatively analyze two autoregulatory negative feedback circuits. By measuring the gene regulation functions of the corresponding repressor-promoter interactions, we accurately predicted the expression level of the autoregulatory feedback loops, in molecular units. This demonstration that quantitative characterization of regulatory elements can predict the behavior of genetic circuits supports a fundamental requirement of synthetic biology.

Original language	English
Article number	143
Journal	Molecular Systems Biology
Volume	3
DOIs	https://doi.org/10.1038/msb4100185
State	Published - 13 Nov 2007
Externally published	Yes

Keywords

Auto-regulation
Feedback
GRF
Quantification
Regulatory elements

ASJC Scopus subject areas

Information Systems
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Computational Theory and Mathematics
Applied Mathematics

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10.1038/msb4100185

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AU - Young, Jonathan W.

AU - Alon, Uri

AU - Swain, Peter S.

AU - Elowitz, Michael B.

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AB - A basic assumption underlying synthetic biology is that analysis of genetic circuit elements, such as regulatory proteins and promoters, can be used to understand and predict the behavior of circuits containing those elements. To test this assumption, we used time-lapse fluorescence microscopy to quantitatively analyze two autoregulatory negative feedback circuits. By measuring the gene regulation functions of the corresponding repressor-promoter interactions, we accurately predicted the expression level of the autoregulatory feedback loops, in molecular units. This demonstration that quantitative characterization of regulatory elements can predict the behavior of genetic circuits supports a fundamental requirement of synthetic biology.

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KW - Feedback

KW - GRF

KW - Quantification

KW - Regulatory elements

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JO - Molecular Systems Biology

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Accurate prediction of gene feedback circuit behavior from component properties

Abstract

Keywords

ASJC Scopus subject areas

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