Evidence map›Paper›PMID 25019938›Full record

ArticleACS synthetic biology2014

Strategy revealing phenotypic differences among synthetic oscillator designs.

Jason G Lomnitz, Michael A Savageau

Abstract read
In one paragraph

Article in ACS synthetic biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Topological Environment in Genetic and Metabolic Networks.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
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  5. Review
  6. Article
  7. Article
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  12. Article
  13. Design principles for robust oscillatory behavior.Systems and synthetic biology · 2015
    Article
  14. Article
  15. Article
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

2 authors.

Jason G LomnitzDepartment of Biomedical Engineering and ‡Microbiology Graduate Group, University of California , Davis, California 95616, United States.
Michael A Savageau

Funding

GENE CIRCUITS AND BIOCHEMICAL NETWORKSR01GM030054 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SAVAGEAU, MICHAEL A · 1985 to 2015
$3.2M
NIGMS NIH HHS R01 GM030054NIGMS NIH HHS R01-GM30054
6 · The paper itself

Abstract

Considerable progress has been made in identifying and characterizing the component parts of genetic oscillators, which play central roles in all organisms. Nonlinear interaction among components is sufficiently complex that mathematical models are required to elucidate their elusive integrated behavior. Although natural and synthetic oscillators exhibit common architectures, there are numerous differences that are poorly understood. Utilizing synthetic biology to uncover basic principles of simpler circuits is a way to advance understanding of natural circadian clocks and rhythms. Following this strategy, we address the following questions: What are the implications of different architectures and molecular modes of transcriptional control for the phenotypic repertoire of genetic oscillators? Are there designs that are more realizable or robust? We compare synthetic oscillators involving one of three architectures and various combinations of the two modes of transcriptional control using a methodology that provides three innovations: a rigorous definition of phenotype, a procedure for deconstructing complex systems into qualitatively distinct phenotypes, and a graphical representation for illuminating the relationship between genotype, environment, and the qualitatively distinct phenotypes of a system. These methods provide a global perspective on the behavioral repertoire, facilitate comparisons of alternatives, and assist the rational design of synthetic gene circuitry. In particular, the results of their application here reveal distinctive phenotypes for several designs that have been studied experimentally as well as a best design among the alternatives that has yet to be constructed and tested.

Indexed as

AlgorithmsModels, TheoreticalEscherichia coliFeedback, PhysiologicalKineticsPhenotypeRepressor ProteinsRNA, MessengerTranscription, GeneticRepressor ProteinsRNA, Messengercircuit architecturedynamic phenotypesmathematically controlled comparisonmode of transcription controlsystem design space

Identifiers

PMID25019938
PMCPMC4210169

What OpenQuestion holds

Textmetadata
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.