Evidence map›Paper›PMID 27528765›Full record

ReviewBiochemical Society transactions2016

Selection platforms for directed evolution in synthetic biology.

Pedro A G Tizei, Eszter Csibra, Leticia Torres, Vitor B Pinheiro

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2016. 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. Article
  2. Article
  3. Article
  4. Review
  5. TargetedACS synthetic biology · 2023
    Article
  6. Article
  7. Selecting Better Biocatalysts by Complementing Recoded Bacteria.Angewandte Chemie (International ed. in English) · 2023
    Article
  8. Article
  9. Sustainable isomaltulose production inFrontiers in microbiology · 2022
    Article
  10. Learning Strategies in Protein Directed Evolution.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  11. Article
  12. Review
  13. Article
  14. Mammalian Expression andACS omega · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Hydrogel Microparticles Functionalized with EngineeredSensors (Basel, Switzerland) · 2019
    Article
  19. Review
  20. Tools and systems for evolutionary engineering of biomolecules and microorganisms.Journal of industrial microbiology & biotechnology · 2019
    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.

Pedro A G TizeiDepartment of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, U.K.
Eszter CsibraDepartment of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, U.K.
Leticia TorresDepartment of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, U.K.
Vitor B PinheiroDepartment of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, U.K. Birkbeck, Department of Biological Sciences, University of London, Malet Street, WC1E 7HX, U.K. v.pinheiro@ucl.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/K018132/1
6 · The paper itself

Abstract

Life on Earth is incredibly diverse. Yet, underneath that diversity, there are a number of constants and highly conserved processes: all life is based on DNA and RNA; the genetic code is universal; biology is limited to a small subset of potential chemistries. A vast amount of knowledge has been accrued through describing and characterizing enzymes, biological processes and organisms. Nevertheless, much remains to be understood about the natural world. One of the goals in Synthetic Biology is to recapitulate biological complexity from simple systems made from biological molecules-gaining a deeper understanding of life in the process. Directed evolution is a powerful tool in Synthetic Biology, able to bypass gaps in knowledge and capable of engineering even the most highly conserved biological processes. It encompasses a range of methodologies to create variation in a population and to select individual variants with the desired function-be it a ligand, enzyme, pathway or even whole organisms. Here, we present some of the basic frameworks that underpin all evolution platforms and review some of the recent contributions from directed evolution to synthetic biology, in particular methods that have been used to engineer the Central Dogma and the genetic code.

Indexed as

Directed Molecular EvolutionAnimalsEvolution, MolecularGenetic CodeGenetic VariationHumansNucleic AcidsOrigin of LifeSelection, GeneticSynthetic BiologyNucleic Acidsdirected evolutionprotein engineeringselection methodologiessynthetic biologysynthetic nucleic acid (XNA)xenobiology

Identifiers

PMID27528765
PMCPMC4984445

What OpenQuestion holds

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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.