A synthetic genetic edge detection program.
A synthetic genetic edge detection program.
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DOI:
10.1016/j.cell.2009.04.048
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发表时间:
2009-06-26
期刊:
影响因子:
64.5
通讯作者:
Ellington AD
中科院分区:
文献类型:
--
作者:
Tabor JJ;Salis HM;Simpson ZB;Chevalier AA;Levskaya A;Marcotte EM;Voigt CA;Ellington AD
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.
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影响因子:
22.7
作者:
Abelson, H;Allen, D;Homsy, G
通讯作者:
Homsy, G
影响因子:
9.9
作者:
Cox, Robert Sidney 3rd;Surette, Michael G;Elowitz, Michael B
通讯作者:
Elowitz, Michael B
DOI:
10.1073/pnas.81.13.4154
发表时间:
1984-01-01
期刊:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES
影响因子:
--
作者:
ENGEBRECHT, J;SILVERMAN, M
通讯作者:
SILVERMAN, M
影响因子:
46.9
作者:
Canton, Barry;Labno, Anna;Endy, Drew
通讯作者:
Endy, Drew
影响因子:
12.3
作者:
Arkin AP;Fletcher DA
通讯作者:
Fletcher DA