Evidence map›Paper›PMID 30054478›Full record

ReviewNature communications2018

Designing with living systems in the synthetic yeast project.

Erika Szymanski, Jane Calvert

Abstract readReview
In one paragraph

Review in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Research progress of pathway and genome evolution in microbes.Synthetic and systems biotechnology · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. The Synthetic Genome Summer Course.Synthetic biology (Oxford, England) · 2018
    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

2 authors.

Erika SzymanskiScience, Technology and Innovation Studies, University of Edinburgh, Old Surgeons' Hall, High School Yards, Edinburgh, EH1 1LZ, UK.ORCID http://orcid.org/0000-0002-6321-8897
Jane CalvertScience, Technology and Innovation Studies, University of Edinburgh, Old Surgeons' Hall, High School Yards, Edinburgh, EH1 1LZ, UK. jane.calvert@ed.ac.uk.ORCID http://orcid.org/0000-0001-7204-9805

Funding

Biotechnology and Biological Sciences Research Council BB/M005690/1Biotechnology and Biological Sciences Research Council BB/M018040/1Biotechnology and Biological Sciences Research Council BB/M025640/1Biotechnology and Biological Sciences Research Council (BBSRC) BB/M005690/1EC | European Research Council (ERC) 616510-ENLIFE
6 · The paper itself

Abstract

Synthetic biology is challenged by the complexity and the unpredictability of living systems. While one response to this complexity involves simplifying cells to create more fully specified systems, another approach utilizes directed evolution, releasing some control and using unpredictable change to achieve design goals. Here we discuss SCRaMbLE, employed in the synthetic yeast project, as an example of synthetic biology design through working with living systems. SCRaMbLE is a designed tool without being a design tool, harnessing the activities of the yeast rather than relying entirely on scientists' deliberate choices. We suggest that directed evolution at the level of the whole organism allows scientists and microorganisms to "collaborate" to achieve design goals, suggesting new directions for synthetic biology.

Indexed as

Directed Molecular EvolutionGene Expression Regulation, FungalGenome, FungalMetabolic EngineeringSaccharomyces cerevisiaeSynthetic Biology

Identifiers

PMID30054478
PMCPMC6063962

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.