Evidence map›Paper›PMID 18713468›Full record

ArticleBMC genomics2008

Novel insights into the unfolded protein response using Pichia pastoris specific DNA microarrays.

Alexandra Graf, Brigitte Gasser, Martin Dragosits, Michael Sauer, Germán G Leparc, Thomas Tüchler, David P Kreil, Diethard Mattanovich

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

61 citing papers in PubMed, 115 citations in OpenAlex.

  1. Systematic optimization ofEngineering microbiology · 2026
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  3. Potential of a constitutive-UPR and histone deacetylase A-deficientApplied and environmental microbiology · 2025
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  6. Microorganisms · 2024
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  10. Enabling growth-decoupledFrontiers in bioengineering and biotechnology · 2023
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  12. Recombinant Protein Production and Purification of Insoluble Proteins.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
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  15. Review
  16. Article
  17. Article
  18. Frontiers in microbiology · 2020
    Review
  19. Review
  20. High-Level Production of a Thermostable Mutant ofInternational journal of molecular sciences · 2019
    Article

1 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

8 authors at 2 institutions in 1 country.

Alexandra GrafInstitute of Applied Microbiology, Department of Biotechnology, University of Natural Resources and Applied Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria. alexandra.graf@boku.ac.at
Brigitte Gasser
Martin Dragosits
Michael Sauer
Germán G Leparc
Thomas Tüchler
David P Kreil
Diethard Mattanovich
BOKU University · ATFH Campus Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA Microarrays are regarded as a valuable tool for basic and applied research in microbiology. However, for many industrially important microorganisms the lack of commercially available microarrays still hampers physiological research. Exemplarily, our understanding of protein folding and secretion in the yeast Pichia pastoris is presently widely dependent on conclusions drawn from analogies to Saccharomyces cerevisiae. To close this gap for a yeast species employed for its high capacity to produce heterologous proteins, we developed full genome DNA microarrays for P. pastoris and analyzed the unfolded protein response (UPR) in this yeast species, as compared to S. cerevisiae.

resultsBy combining the partially annotated gene list of P. pastoris with de novo gene finding a list of putative open reading frames was generated for which an oligonucleotide probe set was designed using the probe design tool TherMODO (a thermodynamic model-based oligoset design optimizer). To evaluate the performance of the novel array design, microarrays carrying the oligo set were hybridized with samples from treatments with dithiothreitol (DTT) or a strain overexpressing the UPR transcription factor HAC1, both compared with a wild type strain in normal medium as untreated control. DTT treatment was compared with literature data for S. cerevisiae, and revealed similarities, but also important differences between the two yeast species. Overexpression of HAC1, the most direct control for UPR genes, resulted in significant new understanding of this important regulatory pathway in P. pastoris, and generally in yeasts.

conclusionThe differences observed between P. pastoris and S. cerevisiae underline the importance of DNA microarrays for industrial production strains. P. pastoris reacts to DTT treatment mainly by the regulation of genes related to chemical stimulus, electron transport and respiration, while the overexpression of HAC1 induced many genes involved in translation, ribosome biogenesis, and organelle biosynthesis, indicating that the regulatory events triggered by DTT treatment only partially overlap with the reactions to overexpression of HAC1. The high reproducibility of the results achieved with two different oligo sets is a good indication for their robustness, and underlines the importance of less stringent selection of regulated features, in order to avoid a large number of false negative results.

Indexed as

Basic-Leucine Zipper Transcription FactorsDithiothreitolFungal ProteinsGene ExpressionGene Expression ProfilingGenes, FungalOligonucleotide Array Sequence AnalysisPichiaProtein FoldingRepressor ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSpecies SpecificityBasic-Leucine Zipper Transcription FactorsDithiothreitolFungal ProteinsHAC1 protein, S cerevisiaeRepressor ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID18713468
PMCPMC2533675
OpenAlexW1992299163

What OpenQuestion holds

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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.