Evidence map›Paper›PMID 24973076›Full record

ArticleApplied and environmental microbiology2014

Improved production of a heterologous amylase in Saccharomyces cerevisiae by inverse metabolic engineering.

Zihe Liu, Lifang Liu, Tobias Österlund, Jin Hou, Mingtao Huang, Linn Fagerberg, Dina Petranovic, Mathias Uhlén, Jens Nielsen

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Engineering the protein secretory pathway ofProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  8. Microfluidic screening and whole-genome sequencing identifies mutations associated with improved protein secretion by yeast.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  9. Article
  10. Recent advances in combinatorial biosynthesis for drug discovery.Drug design, development and therapy · 2015
    Review
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

9 authors at 4 institutions in 2 countries.

Zihe LiuNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Lifang LiuNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Tobias ÖsterlundNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Jin HouNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Mingtao HuangNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Linn FagerbergThe School of Biotechnology, AlbaNova, University Center, Royal Institute of Technology, Stockholm, Sweden.
Dina PetranovicNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Mathias UhlénNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark The School of Biotechnology, AlbaNova, University Center, Royal Institute of Technology, Stockholm, Sweden.
Jens NielsenNovo Nordisk Foundation Center for Biosustainability, Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark nielsenj@chalmers.se.
Chalmers University of Technology · SEAlbaNova · SEKTH Royal Institute of Technology · SETechnical University of Denmark · DK

Funding

European Research Council 247013
6 · The paper itself

Abstract

The increasing demand for industrial enzymes and biopharmaceutical proteins relies on robust production hosts with high protein yield and productivity. Being one of the best-studied model organisms and capable of performing posttranslational modifications, the yeast Saccharomyces cerevisiae is widely used as a cell factory for recombinant protein production. However, many recombinant proteins are produced at only 1% (or less) of the theoretical capacity due to the complexity of the secretory pathway, which has not been fully exploited. In this study, we applied the concept of inverse metabolic engineering to identify novel targets for improving protein secretion. Screening that combined UV-random mutagenesis and selection for growth on starch was performed to find mutant strains producing heterologous amylase 5-fold above the level produced by the reference strain. Genomic mutations that could be associated with higher amylase secretion were identified through whole-genome sequencing. Several single-point mutations, including an S196I point mutation in the VTA1 gene coding for a protein involved in vacuolar sorting, were evaluated by introducing these to the starting strain. By applying this modification alone, the amylase secretion could be improved by 35%. As a complement to the identification of genomic variants, transcriptome analysis was also performed in order to understand on a global level the transcriptional changes associated with the improved amylase production caused by UV mutagenesis.

Indexed as

AmylasesMetabolic EngineeringMutationRecombinant ProteinsSaccharomyces cerevisiaeSelection, GeneticUltraviolet RaysAmylasesRecombinant Proteins

Identifiers

PMID24973076
PMCPMC4136093
OpenAlexW2119907823

What OpenQuestion holds

Textmetadata
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.