Evidence map›Paper›PMID 28813436›Full record

ArticlePloS one2017

Enhancement of the production of L-glutaminase, an anticancer enzyme, from Aeromonas veronii by adaptive and induced mutation techniques.

S Aravinth Vijay Jesuraj, Md Moklesur Rahman Sarker, Long Chiau Ming, S Marylin Jeya Praya, M Ravikumar, Wong Tin Wui

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. L-Glutaminase Synthesis by MarineMolecules (Basel, Switzerland) · 2021
    Article
  8. Article
  9. 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

6 authors at 4 institutions in 4 countries.

S Aravinth Vijay JesurajCentre for Pharmaceutical Sciences, JNT University, Kukatpally, Hyderabad, Telengana State, India.
Md Moklesur Rahman SarkerFaculty of Pharmacy, Lincoln University College, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Long Chiau MingPharmacy, School of Medicine, University of Tasmania, Hobart, Tasmania, Australia.
S Marylin Jeya PrayaFaculty of Pharmacy, Lincoln University College, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
M RavikumarFaculty of Pharmacy, Geethanjali College of Pharmacy, Cheerial, Keesara, Telengana, India.
Wong Tin WuiNon-Destructive Biomedical and Pharmaceutical Research Centre, iPROMISE, Universiti Teknologi MARA, Puncak alam, Selangor, Malaysia.
Lincoln University College · MYState University of Bangladesh · BDUniversiti Teknologi MARA · MYUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial anti-cancer enzymes have been proven to be effective and economical agents for cancer treatment. Aeromonas veronii has been identified as a microorganism with the potential to produce L-glutaminase, an anticancer agent effective against acute lymphocytic leukaemia. In this study, a selective medium of Aeromonas veronii was used to culture the microorganism. Strain improvement was done by adaptive and induced mutational techniques. A selective minimal agar media was incorporated for the growth of the strain which further supports adaptive mutation. Strains were also UV-irradiated and successively treated with N-methyl-N'-nitro-N-nitrosoguanidine to find a resilient strain capable of producing L-glutaminase efficiently. The Plackett-Burman design and central composite designs were used to screen and optimize additional carbon and nitrogen sources. Adaptive mutation resulted in promising yield improvements compared to native strain (P<0.001). The mean yield of 30 treated colonies from the induced mutation was significantly increased compared to the non-induced strain (P< 0.001). The economically feasible statistical designs were found to reinforce each other in order to maximize the yield of the enzyme. The interactions of nutrient factors were understood from the 3D response surface plots. The model was found to be a perfect fit in terms of maximizing enzyme yield, with the productivity improving at every stage to a fourfold output of enzyme (591.11 ±7.97 IU/mL) compared to the native strain (135±3.51 IU/mL).

Indexed as

Adaptation, BiologicalMutationAeromonas veroniiAnalysis of VarianceAntineoplastic AgentsBase SequenceDNA Mutational AnalysisGlutaminaseAntineoplastic AgentsGlutaminase

Identifiers

PMID28813436
PMCPMC5558970
OpenAlexW2750108342

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.