Evidence map›Paper›PMID 24717442›Full record

ArticleNature2014

Rapid and tunable post-translational coupling of genetic circuits.

Arthur Prindle, Jangir Selimkhanov, Howard Li, Ivan Razinkov, Lev S Tsimring, Jeff Hasty

Abstract read
In one paragraph

Article in Nature, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

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  19. Article
  20. Using Models to (Re-)Design Synthetic Circuits.Methods in molecular biology (Clifton, N.J.) · 2021
    Article

19 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.

Arthur Prindle1] Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA [2].
Jangir Selimkhanov1] Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA [2].
Howard LiDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA.
Ivan RazinkovDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA.
Lev S TsimringBioCircuits Institute, University of California, San Diego, La Jolla, California 92093, USA.
Jeff Hasty1] Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA [2] BioCircuits Institute, University of California, San Diego, La Jolla, California 92093, USA [3] Molecular Biology Section, Division of Biological Science, University of California, San Diego, La Jolla, California 92093, USA.

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
NIGMS NIH HHS P50 GM085764
6 · The paper itself

Abstract

One promise of synthetic biology is the creation of genetic circuitry that enables the execution of logical programming in living cells. Such 'wet programming' is positioned to transform a wide and diverse swathe of biotechnology ranging from therapeutics and diagnostics to water treatment strategies. Although progress in the development of a library of genetic modules continues apace, a major challenge for their integration into larger circuits is the generation of sufficiently fast and precise communication between modules. An attractive approach is to integrate engineered circuits with host processes that facilitate robust cellular signalling. In this context, recent studies have demonstrated that bacterial protein degradation can trigger a precise response to stress by overloading a limited supply of intracellular proteases. Here we use protease competition to engineer rapid and tunable coupling of genetic circuits across multiple spatial and temporal scales. We characterize coupling delay times that are more than an order of magnitude faster than standard transcription-factor-based coupling methods (less than 1 min compared with ∼20-40 min) and demonstrate tunability through manipulation of the linker between the protein and its degradation tag. We use this mechanism as a platform to couple genetic clocks at the intracellular and colony level, then synchronize the multi-colony dynamics to reduce variability in both clocks. We show how the coupled clock network can be used to encode independent environmental inputs into a single time series output, thus enabling frequency multiplexing (information transmitted on a common channel by distinct frequencies) in a genetic circuit context. Our results establish a general framework for the rapid and tunable coupling of genetic circuits through the use of native 'queueing' processes such as competitive protein degradation.

Indexed as

Gene Regulatory NetworksProtein BiosynthesisProteolysisBacterial ProteinsBiological ClocksPeptide HydrolasesSignal TransductionSynthetic BiologyTime FactorsTranscription FactorsTranscription, GeneticBacterial ProteinsPeptide HydrolasesTranscription Factors

Identifiers

PMID24717442
PMCPMC4142690

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Registered trials

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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.