Evidence map›Paper›PMID 24316737›Full record

ArticleNature chemical biology2014

Genomic mining of prokaryotic repressors for orthogonal logic gates.

Brynne C Stanton, Alec A K Nielsen, Alvin Tamsir, Kevin Clancy, Todd Peterson, Christopher A Voigt

Abstract read
In one paragraph

Article in Nature chemical biology, 2014. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Mining Genetically Encoded Biosensors from Filamentous Fungi.Journal of fungi (Basel, Switzerland) · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Engineering Bacteria as Living Therapeutics in Cancer Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  14. Article
  15. Computational design of sequence-specific DNA-binding proteins.Nature structural & molecular biology · 2025
    Article
  16. Article
  17. Gene circuit-based sensors.Fundamental research · 2025
    Review
  18. Article
  19. Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025
    Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Brynne C StantonSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Alec A K NielsenSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Alvin TamsirDepartment of Biochemistry and Biophysics, University of California-San Francisco, San Francisco, California, USA.
Kevin ClancySynthetic Biology R&D Unit, Life Technologies, Carlsbad, California, USA.
Todd PetersonSynthetic Biology R&D Unit, Life Technologies, Carlsbad, California, USA.
Christopher A VoigtSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Characterization of Gradient-Responsive Genetic Programs Using Light SensorsR01GM095765 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VOIGT, CHRISTOPHER A · 2011 to 2014
$1.2M
NIGMS NIH HHS GM095765NIGMS NIH HHS R01 GM095765
6 · The paper itself

Abstract

Genetic circuits perform computational operations based on interactions between freely diffusing molecules within a cell. When transcription factors are combined to build a circuit, unintended interactions can disrupt its function. Here, we apply 'part mining' to build a library of 73 TetR-family repressors gleaned from prokaryotic genomes. The operators of a subset were determined using an in vitro method, and this information was used to build synthetic promoters. The promoters and repressors were screened for cross-reactions. Of these, 16 were identified that both strongly repress their cognate promoter (5- to 207-fold) and exhibit minimal interactions with other promoters. Each repressor-promoter pair was converted to a NOT gate and characterized. Used as a set of 16 NOT/NOR gates, there are >10(54) circuits that could be built by changing the pattern of input and output promoters. This represents a large set of compatible gates that can be used to construct user-defined circuits.

Indexed as

GenomicsProkaryotic CellsSmall Molecule LibrariesBase SequenceGene Regulatory NetworksGenome, BacterialOperator Regions, GeneticPromoter Regions, GeneticRepressor ProteinsRepressor ProteinsSmall Molecule Libraries

Identifiers

PMID24316737
PMCPMC4165527

What OpenQuestion holds

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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.