Evidence map›Paper›PMID 26860416›Full record

ArticleBMC biotechnology2016

Comparison and optimization of ten phage encoded serine integrases for genome engineering in Saccharomyces cerevisiae.

Zhengyao Xu, William R A Brown

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

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  12. Evaluation ofMicroorganisms · 2021
    Article
  13. Genome editing systems across yeast species.Current opinion in biotechnology · 2020
    Review
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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 at 2 institutions in 1 country.

Zhengyao XuSchool of Life Sciences, Queens Medical Centre, Nottingham University, Nottingham, NG7 2UH, UK. zhengyao.xu@nottingham.ac.uk.
William R A BrownSchool of Life Sciences, Queens Medical Centre, Nottingham University, Nottingham, NG7 2UH, UK. william.brown@nottingham.ac.uk.
Queen's Medical Centre · GBUniversity of Nottingham · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H005277/1Biotechnology and Biological Sciences Research Council BB/K003356/1
6 · The paper itself

Abstract

backgroundPhage-encoded serine integrases, such as ϕC31 integrase, are widely used for genome engineering but have not been optimized for use in Saccharomyces cerevisiae although this organism is a widely used organism in biotechnology.

resultsThe activities of derivatives of fourteen serine integrases that either possess or lack a nuclear localization signal were compared using a standardized recombinase mediated cassette exchange reaction. The relative activities of these integrases in S. cerevisiae and in mammalian cells suggested that the major determinant of the activity of an integrase is the enzyme itself and not the cell in which it is working. We used an inducible promoter to show that six integrases were toxic as judged by their effects upon the proliferative ability of transformed yeast. We show that in general the active phage-encoded serine integrases were an order of magnitude more efficient in promoting genome integration reactions than a simple homologous recombination.

conclusionsThe results of our study allow us to identify the integrases of the phage ϕBT1, TP901 ~ nls, R4, Bxb1, MR11, A118, ϕK38, ϕC31 ~ nls, Wβ and SPBC ~ nls as active in S. cerevisiae and indicate that vertebrate cells are more restricted than yeast in terms of which integrases are active.

Indexed as

Fungal ProteinsGenetic EngineeringGenome, FungalIntegrasesMutagenesis, InsertionalSaccharomyces cerevisiaeFungal ProteinsIntegrases

Identifiers

PMID26860416
PMCPMC4748531
OpenAlexW2261646506

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.