Evidence map›Paper›PMID 19563759›Full record

ArticleCell2009

A synthetic genetic edge detection program.

Jeffrey J Tabor, Howard M Salis, Zachary Booth Simpson, Aaron A Chevalier, Anselm Levskaya, Edward M Marcotte, Christopher A Voigt, Andrew D Ellington

Abstract read
In one paragraph

Article in Cell, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

198 citing papers in PubMed.

  1. Article
  2. Article
  3. Design of CRISPRi-Based Synthetic Gene Circuits in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Review
  5. Article
  6. Developing Quorum Sensing-Based Collaborative Dynamic Control System in Halomonas TD01.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Light Control in Microbial Systems.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

138 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jeffrey J TaborDepartment of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA 94158, USA.
Howard M Salis
Zachary Booth Simpson
Aaron A Chevalier
Anselm Levskaya
Edward M Marcotte
Christopher A Voigt
Andrew D Ellington

Funding

Cellular Control:Synthetic Signaling/Motility (RMI)PN2EY016546 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2005 to 2014
$16.0M
Proteomics of widespread, reversible protein assemblies in aging and aggregationR01GM076536 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MARCOTTE, EDWARD M · 2006 to 2014
$2.9M
Reconstructing the eukaryotic cell cycle gene networkR01GM067779 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI MARCOTTE, EDWARD M · 2004 to 2012
$2.1M
System Dynamics of the Salmonella Virulence Regulatory NetworkR01AI067699 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VOIGT, CHRISTOPHER A · 2007 to 2011
$1.5M
Genetic circuits based on allosteric ribozymesR01GM077040 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ELLINGTON, ANDREW D · 2006 to 2010
$1.1M
System Dynamics of the Salmonella Virulence Regulatory NetworkR56AI067699 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI VOIGT, CHRISTOPHER A · 2012 to 2012
$279k
An Engineered Gene Network for Multicellular Pattern FormationF32GM082106 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TABOR, JEFFREY JAY · 2008 to 2009
$97k
Engineering Synthetic Cell Motility Systems (RMI)PN1EY016546 · NEI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI LIM, WENDELL A · 2004 to 2004
$76k
NEI NIH HHS PN1 EY016546NEI NIH HHS PN2 EY016546NIAID NIH HHS AI067699NIAID NIH HHS R01 AI067699NIAID NIH HHS R56 AI067699NIGMS NIH HHS F32 GM082106NIGMS NIH HHS R01 GM067779NIGMS NIH HHS R01 GM076536NIGMS NIH HHS R01 GM077040NIGMS NIH HHS R01GM077040
6 · The paper itself

Abstract

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.

Indexed as

AlgorithmsLightComputer GraphicsEscherichia coliImage EnhancementModels, Theoretical

Identifiers

PMID19563759
PMCPMC2775486

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.