Accurate prediction of gene feedback circuit behavior from component properties

Rosenfeld, Nitzan and Young, Jonathan W. and Alon, Uri and Swain, Peter S. and Elowitz, Michael B. (2007) Accurate prediction of gene feedback circuit behavior from component properties. Molecular Systems Biology, 3 . Art. No. 143. ISSN 1744-4292. PMCID PMC2132446. doi:10.1038/msb4100185. https://resolver.caltech.edu/CaltechAUTHORS:20200428-095144474

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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.

Item Type:

Article

Related URLs:

URL	URL Type	Description
https://doi.org/10.1038/msb4100185	DOI	Article
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2132446/	PubMed Central	Article

ORCID:

Author	ORCID
Elowitz, Michael B.	0000-0002-1221-0967

Additional Information:

© 2007 EMBO and Nature Publishing Group. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation or the creation of derivative works without specific permission. Received 11.6.07; accepted 12.9.07. This work was supported by grants from HFSP (to MBE and UA), NIH (R01 GM079771 and GM068763 to the Center for Modular Biology) and NSF. PSS was supported by the National Science and Engineering Research Council and by a Tier II Canada Research Chair.

Funders:

Funding Agency	Grant Number
Human Frontier Science Program	UNSPECIFIED
NIH	R01 GM079771
NIH	GM068763
Natural Sciences and Engineering Research Council of Canada (NSERC)	UNSPECIFIED
Canada Research Chairs Program	UNSPECIFIED

Subject Keywords:

auto-regulation; feedback; GRF; quantification; regulatory elements

PubMed Central ID:

PMC2132446

DOI:

10.1038/msb4100185

Record Number:

CaltechAUTHORS:20200428-095144474

Persistent URL:

https://resolver.caltech.edu/CaltechAUTHORS:20200428-095144474

Official Citation:

Rosenfeld, Nitzan, Young, Jonathan W, Alon, Uri, Swain, Peter S, Elowitz, Michael B, (2007) Accurate prediction of gene feedback circuit behavior from component properties. Molecular Systems Biology, 3. 143. doi: accession:10.1038/msb4100185

Usage Policy:

No commercial reproduction, distribution, display or performance rights in this work are provided.

ID Code:

102843

Collection:

CaltechAUTHORS

Deposited By:

George Porter

Deposited On:

28 Apr 2020 22:07

Last Modified:

16 Nov 2021 18:16

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