Evidence map›Paper›PMID 20702421›Full record

ArticleNucleic acids research2010

Selection systems based on dominant-negative transcription factors for precise genetic engineering.

Raphaël Dutoit, Evelyne Dubois, Eric Jacobs

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Raphaël DutoitInstitut de Recherches Microbiologiques JM Wiame and Laboratoire de Microbiologie de l'Université Libre de Bruxelles, 1 avenue Emile Gryson, BE1070 Belgium. rdutoit@ulb.ac.be
Evelyne Dubois
Eric Jacobs

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diverse tools are available for performing genetic modifications of microorganisms. However, new methods still need to be developed for performing precise genomic engineering without introducing any undesirable side-alteration. Indeed for functional analyses of genomic elements, as well as for some industrial applications, only the desired mutation should be introduced at the locus considered. This article describes a new approach fulfilling these requirements, based on the use of selection systems consisting in truncated genes encoding dominant-negative transcription factors. We have demonstrated dominant-negative effects mediated by truncated Gal4p and Arg81p proteins in Saccharomyces cerevisiae, interfering with galactose and arginine metabolic pathways, respectively. These genes can be used as positive and negative markers, since they provoke both growth inhibition on substrates and resistance to specific drugs. These selection markers have been successfully used for precisely deleting HO and URA3 in wild yeasts. This genetic engineering approach could be extended to other microorganisms.

Indexed as

Sequence DeletionDNA-Binding ProteinsDrug ResistanceGenetic EngineeringGenetic VectorsRepressor ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsARG81 protein, S cerevisiaeDNA-Binding ProteinsGAL4 protein, S cerevisiaeRepressor ProteinsSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID20702421
PMCPMC2965260

What OpenQuestion holds

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LicenceCC BY-NC
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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.