ScalaireV1, Main, Exploration, bibRecord, 000297

A Synthetic Genetic Edge Detection Program

Identifieur interne : 000297 ( Main/Exploration ); précédent : 000296; suivant : 000298

A Synthetic Genetic Edge Detection Program

Auteurs : Jeffrey J. Tabor ; Howard Salis ; Zachary B. Simpson ; Aaron A. Chevalier ; Anselm Levskaya ; Edward M. Marcotte ; Christopher A. Voigt ; Andrew D. Ellington

Source :

Cell [ 0092-8674 ] ; 2009.

RBID : PMC:2775486

Abstract

Summary

Edge detection is a signal processing algorithm common in artificial intelligence and image recognition programs. We have constructed a genetically encoded edge detection algorithm that programs an isogenic community of E.coli to sense an image of light, communicate to identify the light-dark edges, and visually present the result of the computation. The algorithm is implemented using multiple genetic circuits. An engineered light sensor enables cells to distinguish between light and dark regions. In the dark, cells produce a diffusible chemical signal that diffuses into light regions. Genetic logic gates are used so that only cells that sense light and the diffusible signal produce a positive output. A mathematical model constructed from first principles and parameterized with experimental measurements of the component circuits predicts the performance of the complete program. Quantitatively accurate models will facilitate the engineering of more complex biological behaviors and inform bottom-up studies of natural genetic regulatory networks.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775486

DOI: 10.1016/j.cell.2009.04.048
PubMed: 19563759
PubMed Central: 2775486

Affiliations:

Le document en format XML

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<affiliation><nlm:aff id="A1"> Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA, 94158</nlm:aff>
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<front><div type="abstract" xml:lang="en"><title>Summary</title>
<p id="P1">Edge detection is a signal processing algorithm common in artificial intelligence and image recognition programs. We have constructed a genetically encoded edge detection algorithm that programs an isogenic community of <italic>E.coli</italic>
 to sense an image of light, communicate to identify the light-dark edges, and visually present the result of the computation. The algorithm is implemented using multiple genetic circuits. An engineered light sensor enables cells to distinguish between light and dark regions. In the dark, cells produce a diffusible chemical signal that diffuses into light regions. Genetic logic gates are used so that only cells that sense light and the diffusible signal produce a positive output. A mathematical model constructed from first principles and parameterized with experimental measurements of the component circuits predicts the performance of the complete program. Quantitatively accurate models will facilitate the engineering of more complex biological behaviors and inform bottom-up studies of natural genetic regulatory networks.</p>
</div>
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<tree><noCountry><name sortKey="Chevalier, Aaron A" sort="Chevalier, Aaron A" uniqKey="Chevalier A" first="Aaron A." last="Chevalier">Aaron A. Chevalier</name>
<name sortKey="Ellington, Andrew D" sort="Ellington, Andrew D" uniqKey="Ellington A" first="Andrew D." last="Ellington">Andrew D. Ellington</name>
<name sortKey="Levskaya, Anselm" sort="Levskaya, Anselm" uniqKey="Levskaya A" first="Anselm" last="Levskaya">Anselm Levskaya</name>
<name sortKey="Marcotte, Edward M" sort="Marcotte, Edward M" uniqKey="Marcotte E" first="Edward M." last="Marcotte">Edward M. Marcotte</name>
<name sortKey="Salis, Howard" sort="Salis, Howard" uniqKey="Salis H" first="Howard" last="Salis">Howard Salis</name>
<name sortKey="Simpson, Zachary B" sort="Simpson, Zachary B" uniqKey="Simpson Z" first="Zachary B." last="Simpson">Zachary B. Simpson</name>
<name sortKey="Tabor, Jeffrey J" sort="Tabor, Jeffrey J" uniqKey="Tabor J" first="Jeffrey J." last="Tabor">Jeffrey J. Tabor</name>
<name sortKey="Voigt, Christopher A" sort="Voigt, Christopher A" uniqKey="Voigt C" first="Christopher A." last="Voigt">Christopher A. Voigt</name>
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A Synthetic Genetic Edge Detection Program

A Synthetic Genetic Edge Detection Program

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Abstract

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