Evidence map›Paper›PMID 30675181›Full record

ArticleJournal of biological engineering2019

Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway.

Kealan Exley, Christopher Robert Reynolds, Lorna Suckling, Soo Mei Chee, Argyro Tsipa, Paul S Freemont, David McClymont, Richard Ian Kitney

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

9 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Biological Materials: The Next Frontier for Cell-Free Synthetic Biology.Frontiers in bioengineering and biotechnology · 2020
    Review
  9. 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

8 authors at 1 institution in 1 country.

Kealan Exley1Department of Bioengineering, Imperial College London, London, UK.
Christopher Robert Reynolds1Department of Bioengineering, Imperial College London, London, UK.
Lorna Suckling1Department of Bioengineering, Imperial College London, London, UK.
Soo Mei Chee1Department of Bioengineering, Imperial College London, London, UK.
Argyro Tsipa1Department of Bioengineering, Imperial College London, London, UK.
Paul S Freemont4SynbiCITE, Imperial College London, London, UK.
David McClymont3The London DNA Foundry, Imperial College London, London, UK.
Richard Ian Kitney1Department of Bioengineering, Imperial College London, London, UK.
Imperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M025632/1
6 · The paper itself

Abstract

backgroundThe automation of modular cloning methodologies permits the assembly of many genetic designs. Utilising characterised biological parts aids in the design and redesign of genetic pathways. The characterisation information held on datasheets can be used to determine whether a biological part meets the design requirements. To manage the design of genetic pathways, researchers have turned to modelling-based computer aided design software tools.

resultAn automated workflow has been developed for the design and build of heterologous metabolic pathways. In addition, to demonstrate the powers of electronic datasheets we have developed software which can transfer part information from a datasheet to the Design of Experiment software JMP. To this end we were able to use Design of Experiment software to rationally design and test randomised samples from the design space of a lycopene pathway in

conclusionThe use of standardised and characterised biological parts will empower a design-oriented synthetic biology for the forward engineering of heterologous expression systems. A Design of Experiment approach streamlines the design-build-test cycle to achieve optimised solutions in biodesign. Developed automated workflows provide effective transfer of information between characterised information (in the form of datasheets) and DoE software.

Indexed as

Automation workflowDatasheetsDesign of Experiment (DoE)Synthetic biology

Identifiers

PMID30675181
PMCPMC6339355
OpenAlexW2917572809

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.