Evidence map›Paper›PMID 40575800›Full record

ArticleMetabolic engineering communications2025

Improving recombinant protein secretion in

Jaqueline Aline Gerhardt, Marcelo Ventura Rubio, Cesar Rafael Fanchini Terrasan, Natalia Sayuri Wassano, Aryadne Rodrigues, Fernanda Lopes de Figueiredo, Everton Paschoal Antoniel, Fabiano Jares Contesini, Artur Hermano Sampaio Dias, Uffe Hasbro Mortensen and 2 more

Abstract read
In one paragraph

Article in Metabolic engineering communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

12 authors.

Jaqueline Aline GerhardtDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Marcelo Ventura RubioDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Cesar Rafael Fanchini TerrasanDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Natalia Sayuri WassanoDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Aryadne RodriguesDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Fernanda Lopes de FigueiredoDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Everton Paschoal AntonielDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.
Fabiano Jares ContesiniDepartment of Biotechnology and Biomedicine, Technical University of Denmark (DTU), Lyngby, Denmark.
Artur Hermano Sampaio DiasInstitute of Chemistry and Center for Computing in Engineering and Sciences, Universidade Estadual de Campinas (UNICAMP), Brazil.
Uffe Hasbro MortensenDepartment of Biotechnology and Biomedicine, Technical University of Denmark (DTU), Lyngby, Denmark.
Munir Salomão SkafInstitute of Chemistry and Center for Computing in Engineering and Sciences, Universidade Estadual de Campinas (UNICAMP), Brazil.
André DamasioDepartment of Biochemistry and Tissue Biology, Institute of Biology, Universidade Estadual de Campinas (UNICAMP), Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Filamentous fungi are cell factories traditionally used for enzyme production in various industrial sectors, including food and beverages, biopolymers, biofuels, and animal feed. Despite significant progress in optimizing enzyme production, challenges related to cost-effectiveness persist. Genes involved in the fungal secretory pathway have been modified to address productivity barriers, including post-translational modifications such as N-glycosylation of proteins. N-glycosylation can significantly affect protein stability, production yield, and functionality. This study investigated the isolated and combined deletion of genes involved in N-glycan assembly on protein production in

Indexed as

A. nidulansCarbohydrate-active enzymesCRISPR/Cas9N-GlycosylationRecombinant enzyme production

Identifiers

PMID40575800
PMCPMC12198042

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.