Evidence map›Paper›PMID 23704788›Full record

ReviewMicrobiology (Reading, England)2013

Tuning the dials of Synthetic Biology.

James A J Arpino, Edward J Hancock, James Anderson, Mauricio Barahona, Guy-Bart V Stan, Antonis Papachristodoulou, Karen Polizzi

Abstract readReview
In one paragraph

Review in Microbiology (Reading, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  9. The number of catalytic cycles in an enzyme's lifetime and why it matters to metabolic engineering.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Biological Materials: The Next Frontier for Cell-Free Synthetic Biology.Frontiers in bioengineering and biotechnology · 2020
    Review
  14. Article
  15. Article
  16. Portable gene expression guaranteed.Nature biotechnology · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

James A J ArpinoCentre for Synthetic Biology and Innovation, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
Edward J HancockDepartment of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.
James AndersonSt John's College, St Giles, Oxford OX1 3JP, UK.
Mauricio BarahonaDepartment of Mathematics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
Guy-Bart V StanDepartment of Bioengineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
Antonis PapachristodoulouDepartment of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.
Karen PolizziDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic Biology is the 'Engineering of Biology' - it aims to use a forward-engineering design cycle based on specifications, modelling, analysis, experimental implementation, testing and validation to modify natural or design new, synthetic biology systems so that they behave in a predictable fashion. Motivated by the need for truly plug-and-play synthetic biological components, we present a comprehensive review of ways in which the various parts of a biological system can be modified systematically. In particular, we review the list of 'dials' that are available to the designer and discuss how they can be modelled, tuned and implemented. The dials are categorized according to whether they operate at the global, transcriptional, translational or post-translational level and the resolution that they operate at. We end this review with a discussion on the relative advantages and disadvantages of some dials over others.

Indexed as

Models, BiologicalSystems BiologyAnimalsDNAGenetic EngineeringHumansSynthetic BiologyDNA

Identifiers

PMID23704788
PMCPMC3749727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.