Evidence map›Paper›PMID 25034689›Full record

ArticleNucleic acids research2014

Inducible, tightly regulated and growth condition-independent transcription factor in Saccharomyces cerevisiae.

Diana S M Ottoz, Fabian Rudolf, Joerg Stelling

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

97 citing papers in PubMed, 185 citations in OpenAlex.

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  13. Integrated Virtual Screening Approach Identifies New CYP19A1 Inhibitors.Journal of chemical information and modeling · 2025
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  14. Ancient origin and high diversity of zymocin-like killer toxins in the budding yeast subphylum.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. Functional constraints ofbioRxiv : the preprint server for biology · 2025
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37 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Diana S M OttozETH Zurich and Swiss Institute of Bioinformatics, D-BSSE, Mattenstrasse 26, 4058 Basel, Switzerland Life Science Zurich PhD Program on Molecular and Translational Biomedicine, Zurich, Switzerland Competence Center for Systems Physiology and Metabolic Diseases, ETH Zurich, 8093 Zurich, Switzerland.
Fabian RudolfETH Zurich and Swiss Institute of Bioinformatics, D-BSSE, Mattenstrasse 26, 4058 Basel, Switzerland joerg.stelling@bsse.ethz.ch.
Joerg StellingETH Zurich and Swiss Institute of Bioinformatics, D-BSSE, Mattenstrasse 26, 4058 Basel, Switzerland Competence Center for Systems Physiology and Metabolic Diseases, ETH Zurich, 8093 Zurich, Switzerland joerg.stelling@bsse.ethz.ch.
SIB Swiss Institute of Bioinformatics · CHLife Science Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise control of gene expression is essential in basic biological research as well as in biotechnological applications. Most regulated systems available in yeast enable only the overexpression of the target gene, excluding the possibility of intermediate or weak expression. Moreover, these systems are frequently toxic or depend on growth conditions. We constructed a heterologous transcription factor that overcomes these limitations. Our system is a fusion of the bacterial LexA DNA-binding protein, the human estrogen receptor (ER) and an activation domain (AD). The activity of this chimera, called LexA-ER-AD, is tightly regulated by the hormone β-estradiol. The selection of the AD proved to be crucial to avoid toxic effects and to define the range of activity that can be precisely tuned with β-estradiol. As our system is based on a heterologous DNA-binding domain, induction in different metabolic contexts is possible. Additionally, by controlling the number of LexA-binding sites in the target promoter, one can scale the expression levels up or down. Overall, our LexA-ER-AD system is a valuable tool to precisely control gene expression in different experimental contexts without toxic side effects.

Indexed as

Gene Expression RegulationTranscription, GeneticBacterial ProteinsGenetic EngineeringHumansLexA Repressor ProteinPromoter Regions, GeneticProtein Structure, TertiaryReceptors, EstrogenRecombinant Fusion ProteinsSaccharomyces cerevisiaeSerine EndopeptidasesBacterial ProteinsLexA Repressor ProteinReceptors, EstrogenRecombinant Fusion ProteinsSerine Endopeptidases

Identifiers

PMID25034689
PMCPMC4176152
OpenAlexW2122139514

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.