Evidence map›Paper›PMID 11055947›Full record

ArticleApplied and environmental microbiology2000

Introduction of an N-glycosylation site increases secretion of heterologous proteins in yeasts.

C M Sagt, B Kleizen, R Verwaal, M D de Jong, W H Müller, A Smits, C Visser, J Boonstra, A J Verkleij, C T Verrips

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. From sequence to scaffold: Computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  6. Review
  7. Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
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  10. Article
  11. Protein Engineering Approaches to Enhance Fungal Laccase Production inInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Article
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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

10 authors.

C M SagtDepartment of Molecular Cell Biology and the Institute of Biomembranes, Utrecht University, 3584 CH Utrecht, The Netherlands.
B Kleizen
R Verwaal
M D de Jong
W H Müller
A Smits
C Visser
J Boonstra
A J Verkleij
C T Verrips

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saccharomyces cerevisiae is often used to produce heterologous proteins that are preferentially secreted to increase economic feasibility. We used N-glycosylation as a tool to enhance protein secretion. Secretion of cutinase, a lipase, and llama V(HH) antibody fragments by S. cerevisiae or Pichia pastoris improved following the introduction of an N-glycosylation site. When we introduced an N-glycosylation consensus sequence in the N-terminal region of a hydrophobic cutinase, secretion increased fivefold. If an N-glycosylation site was introduced in the C-terminal region, however, secretion increased only 1.8-fold. These results indicate that the use of N glycosylation can significantly enhance heterologous protein secretion.

Indexed as

AnimalsCarboxylic Ester HydrolasesGenetic VariationGlycosylationHexosaminidasesImmunoglobulin FragmentsImmunoglobulin Heavy ChainsPichiaRecombinant ProteinsSaccharomyces cerevisiaeCarboxylic Ester HydrolasescutinaseHexosaminidasesImmunoglobulin FragmentsImmunoglobulin Heavy ChainsRecombinant Proteins

Identifiers

PMID11055947
PMCPMC92403

What OpenQuestion holds

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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.