Evidence map›Paper›PMID 24728988›Full record

ArticleNucleic acids research2014

Synthetic circuit for exact adaptation and fold-change detection.

Jongmin Kim, Ishan Khetarpal, Shaunak Sen, Richard M Murray

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Dynamic Control of DNA Origami Self-Assembly by Transcriptional Modules.Journal of the American Chemical Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Autonomous and Assisted Control for Synthetic Microbiology.International journal of molecular sciences · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors.

Jongmin KimDepartment of Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA jongmin@dna.caltech.edu.
Ishan KhetarpalDepartment of Computer Science, California Institute of Technology, Pasadena, CA 91125, USA.
Shaunak SenDepartment of Control and Dynamical Systems, California Institute of Technology, Pasadena, CA 91125, USA jongmin@dna.caltech.edu.
Richard M MurrayDepartment of Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA Department of Control and Dynamical Systems, California Institute of Technology, Pasadena, CA 91125, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological organisms use their sensory systems to detect changes in their environment. The ability of sensory systems to adapt to static inputs allows wide dynamic range as well as sensitivity to input changes including fold-change detection, a response that depends only on fold changes in input, and not on absolute changes. This input scale invariance underlies an important strategy for search that depends solely on the spatial profile of the input. Synthetic efforts to reproduce the architecture and response of cellular circuits provide an important step to foster understanding at the molecular level. We report the bottom-up assembly of biochemical systems that show exact adaptation and fold-change detection. Using a malachite green aptamer as the output, a synthetic transcriptional circuit with the connectivity of an incoherent feed-forward loop motif exhibits pulse generation and exact adaptation. A simple mathematical model was used to assess the amplitude and duration of pulse response as well as the parameter regimes required for fold-change detection. Upon parameter tuning, this synthetic circuit exhibits fold-change detection for four successive rounds of two-fold input changes. The experimental realization of fold-change detection circuit highlights the programmability of transcriptional switches and the ability to obtain predictive dynamical systems in a cell-free environment for technological applications.

Indexed as

Biosensing TechniquesAlgorithmsAptamers, NucleotideComputer SimulationDNA-Directed RNA PolymerasesExoribonucleasesFluorescent DyesGene Expression RegulationModels, BiologicalRosaniline DyesTranscription, GeneticViral ProteinsAptamers, Nucleotidebacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesExoribonucleasesFluorescent Dyesmalachite greenribonuclease RRosaniline DyesViral Proteins

Identifiers

PMID24728988
PMCPMC4027175

What OpenQuestion holds

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LicenceCC BY
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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.