Evidence map›Paper›PMID 21865275›Full record

ArticleNucleic acids research2011

Computational design of synthetic regulatory networks from a genetic library to characterize the designability of dynamical behaviors.

Guillermo Rodrigo, Javier Carrera, Alfonso Jaramillo

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. 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. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Atypical PKCs in memory maintenance: the roles of feedback and redundancy.Learning & memory (Cold Spring Harbor, N.Y.) · 2015
    Article
  10. Article
  11. Bridging the gap: a roadmap to breaking the biological design barrier.Frontiers in bioengineering and biotechnology · 2014
    Review
  12. Article
  13. Computational design of genomic transcriptional networks with adaptation to varying environments.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  14. De novo automated design of small RNA circuits for engineering synthetic riboregulation in living cells.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

3 authors.

Guillermo RodrigoInstitute of Systems and Synthetic Biology (ISSB), Genopole - Université d'Évry Val d'Essonne - CNRS UPS3201, 91030 Évry Cedex, France.
Javier Carrera
Alfonso Jaramillo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The engineering of synthetic gene networks has mostly relied on the assembly of few characterized regulatory elements using rational design principles. It is of outmost importance to analyze the scalability and limits of such a design workflow. To analyze the design capabilities of libraries of regulatory elements, we have developed the first automated design approach that combines such elements to search the genotype space associated to a given phenotypic behavior. Herein, we calculated the designability of dynamical functions obtained from circuits assembled with a given genetic library. By designing circuits working as amplitude filters, pulse counters and oscillators, we could infer new mechanisms for such behaviors. We also highlighted the hierarchical design and the optimization of the interface between devices. We dissected the functional diversity of a constrained library and we found that even such libraries can provide a rich variety of behaviors. We also found that intrinsic noise slightly reduces the designability of digital circuits, but it increases the designability of oscillators. Finally, we analyzed the robust design as a strategy to counteract the evolvability and noise in gene expression of the engineered circuits within a cellular background, obtaining mechanisms for robustness through non-linear negative feedback loops.

Indexed as

Gene Regulatory NetworksComputational BiologyGene LibraryGenetic EngineeringModels, Genetic

Identifiers

PMID21865275
PMCPMC3203596

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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.