Evidence map›Paper›PMID 30083963›Full record

ArticleWorld journal of microbiology & biotechnology2018

In silico and in vivo analysis of signal peptides effect on recombinant glucose oxidase production in nonconventional yeast Yarrowia lipolytica.

Farshad Darvishi, Amin Zarei, Catherine Madzak

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Expression ofPeerJ · 2020
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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

3 authors at 2 institutions in 2 countries.

Farshad DarvishiMicrobial Biotechnology and Bioprocess Engineering (MBBE) Group, Department of Microbiology, Faculty of Science, University of Maragheh, Maragheh, 55181-83111, Iran. f.darvishi@ymail.com.ORCID http://orcid.org/0000-0002-7902-160X
Amin ZareiMicrobial Biotechnology and Bioprocess Engineering (MBBE) Group, Department of Microbiology, Faculty of Science, University of Maragheh, Maragheh, 55181-83111, Iran.
Catherine MadzakUMR GMPA, AgroParisTech, INRA, Université Paris-Saclay, Thiverval-Grignon, France.
University of Maragheh · IRAgroParisTech · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signal peptide (SP) is an important factor and biobrick in the production and secretion of recombinant proteins. The aim of this study was in silico and in vivo analysis of SPs effect on the production of recombinant glucose oxidase (GOX) in Yarrowia lipolytica. Several in silico softwares, namely SignalP4, Signal-CF, Phobius, WolfPsort 0.2, SOLpro and ProtParam, were used to analyse the potential of 15 endogenous and exogenous SPs for the secretion of recombinant GOX in Y. lipolytica. According to in silico results, the SP of GOX was predicted as suitable in terms of high secretory potential and of protein solubility and stability which is chosen for in vivo analysis. The recombinant Y. lipolytica strain produced 280 U/L of extracellular GOX after 7 days in YPD medium. The results show that the SP of GOX can be applied to efficient production of extracellular heterologous proteins and metabolic engineering in Y. lipolytica.

Indexed as

Amino Acid SequenceAspergillus nigerComputer SimulationFungal ProteinsGlucose OxidaseMetabolic EngineeringProtein Sorting SignalsRecombinant ProteinsSoftwareYarrowiaFungal ProteinsGlucose OxidaseProtein Sorting SignalsRecombinant ProteinsGlucose oxidaseIn silicoIn vivoSignal peptideYarrowia lipolytica

Identifiers

PMID30083963
OpenAlexW2886090177

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.