Evidence map›Paper›PMID 30547780›Full record

ArticleBMC biotechnology2018

Recombinant Expression and Bioactivity Comparison of Four Typical Fungal Immunomodulatory Proteins from Three Main Ganoderma Species.

Zheng-Wei Qu, Si-Ya Zhou, Shi-Xin Guan, Rui Gao, Zuo-Wen Duan, Xin Zhang, Wei-Yan Sun, Wen-Li Fan, Shui-Sen Chen, Li-Jing Chen and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The Effect of Mitochondria onJournal of fungi (Basel, Switzerland) · 2022
    Article
  6. Ganoderma immunomodulatory proteins: mushrooming functional FIPs.Applied microbiology and biotechnology · 2022
    Review
  7. Article
  8. Article
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 at 1 institution in 1 country.

Zheng-Wei QuLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Si-Ya ZhouLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Shi-Xin GuanCollege of Horticulture, Shenyang Agricultural University, Shenyang, 110866, China.
Rui GaoLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Zuo-Wen DuanLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Xin ZhangLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Wei-Yan SunLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Wen-Li FanCollege of Horticulture, Shenyang Agricultural University, Shenyang, 110866, China.
Shui-Sen ChenLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Li-Jing ChenLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Jing-Wei LinLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China. linjingwei1980@163.com.
Yan-Ye RuanLiaoning Province Key Laboratory of Agricultural Technology, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China. yanyeruan@syau.edu.cn.
Shenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than a dozen of fungal immunomodulatory proteins (FIPs) have been identified to date, most of which are from Ganoderma species. However, little is known about the similarities and differences between different Ganoderma FIPs' bioactivities. In the current study, two FIP genes termed FIP-gap1 and FIP-gap2 from G. applanatum, along with LZ-8 and FIP-gsi, another two representative Ganoderma FIP genes from G. lucidum and G. sinense were functionally expressed in Pichia. Subsequently, bioactivities of four recombinant Ganoderma FIPs were demonstrated and compared.

resultsAll the four Ganoderma FIP genes could be effectively expressed in P. pastoris GS115 at expression levels ranging from 197.5 to 264.3 mg L

conclusionsTaken together, four typical Ganoderma FIP genes could be functionally expressed in P. pastoris, which might supply as feasible efficient resources for further study and application. Both similarities and differences were indeed observed between Ganoderma FIPs in their amino acid sequences and bioactivities. Comprehensively, rFIP-gaps from G. applanatum proved to be more effective in immunomodulation and cytotoxic assays in vitro than rLZ-8 (G. lucidum) and rFIP-gsi (G. sinense).

Indexed as

Gene ExpressionAmino Acid MotifsAnimalsCell LineCytokinesErythrocytesFungal ProteinsGanodermaHemagglutination TestsHumansImmunologic FactorsMicePichiaRecombinant ProteinsSheepCytokinesFungal ProteinsImmunologic FactorsRecombinant ProteinsCytotoxicityFungal immunomodulatory proteinGanodermaRecombinant expressionYeast

Identifiers

PMID30547780
PMCPMC6295072
OpenAlexW2905377012

What OpenQuestion holds

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LicenceCC BY
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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.