Evidence map›Paper›PMID 27973777›Full record

ArticleACS synthetic biology2017

Synthetic Core Promoters as Universal Parts for Fine-Tuning Expression in Different Yeast Species.

Rui M C Portela, Thomas Vogl, Claudia Kniely, Jasmin E Fischer, Rui Oliveira, Anton Glieder

Abstract read
In one paragraph

Article in ACS synthetic biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Deep Generative Model-Driven Design of Microbial Synthetic Promoters.Journal of microbiology and biotechnology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Exploring the Promoter Generation and Prediction ofInternational journal of molecular sciences · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Promoters in Pichia pastoris: A Toolbox for Fine-Tuned Gene Expression.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  19. Genetic tools for metabolic engineering ofEngineering microbiology · 2023
    Review
  20. 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

6 authors.

Rui M C PortelaREQUIMTE/LAQV, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa , 2829-516 Caparica, Portugal.
Thomas VoglInstitute for Molecular Biotechnology, NAWI Graz University of Technology , Petersgasse 14/2, 8010 Graz, Austria.ORCID 0000-0002-3892-1740
Claudia KnielyInstitute for Molecular Biotechnology, NAWI Graz University of Technology , Petersgasse 14/2, 8010 Graz, Austria.
Jasmin E FischerInstitute for Molecular Biotechnology, NAWI Graz University of Technology , Petersgasse 14/2, 8010 Graz, Austria.
Rui OliveiraREQUIMTE/LAQV, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa , 2829-516 Caparica, Portugal.
Anton GliederInstitute for Molecular Biotechnology, NAWI Graz University of Technology , Petersgasse 14/2, 8010 Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology and metabolic engineering experiments frequently require the fine-tuning of gene expression to balance and optimize protein levels of regulators or metabolic enzymes. A key concept of synthetic biology is the development of modular parts that can be used in different contexts. Here, we have applied a computational multifactor design approach to generate de novo synthetic core promoters and 5' untranslated regions (UTRs) for yeast cells. In contrast to upstream cis-regulatory modules (CRMs), core promoters are typically not subject to specific regulation, making them ideal engineering targets for gene expression fine-tuning. 112 synthetic core promoter sequences were designed on the basis of the sequence/function relationship of natural core promoters, nucleosome occupancy and the presence of short motifs. The synthetic core promoters were fused to the Pichia pastoris AOX1 CRM, and the resulting activity spanned more than a 200-fold range (0.3% to 70.6% of the wild type AOX1 level). The top-ten synthetic core promoters with highest activity were fused to six additional CRMs (three in P. pastoris and three in Saccharomyces cerevisiae). Inducible CRM constructs showed significantly higher activity than constitutive CRMs, reaching up to 176% of natural core promoters. Comparing the activity of the same synthetic core promoters fused to different CRMs revealed high correlations only for CRMs within the same organism. These data suggest that modularity is maintained to some extent but only within the same organism. Due to the conserved role of eukaryotic core promoters, this rational design concept may be transferred to other organisms as a generic engineering tool.

Indexed as

5' Untranslated RegionsAldehyde OxidaseFungal ProteinsGene ExpressionGene Expression Regulation, FungalMetabolic EngineeringPichiaPromoter Regions, GeneticSaccharomyces cerevisiaeSynthetic Biology5' Untranslated RegionsAldehyde OxidaseFungal Proteinscomputational designcore promoterpromoter librarysynthetic biologytranscriptional fine-tuningyeast

Identifiers

PMID27973777
PMCPMC5359585

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Registered trials

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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.