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Optimization, characterization, comparison of self-assembly VLP of capsid protein L1 in yeast and reverse vaccinology design against human papillomavirus type 52

Overview of attention for article published in Journal of Genetic Engineering and Biotechnology, May 2023
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Title
Optimization, characterization, comparison of self-assembly VLP of capsid protein L1 in yeast and reverse vaccinology design against human papillomavirus type 52
Published in
Journal of Genetic Engineering and Biotechnology, May 2023
DOI 10.1186/s43141-023-00514-9
Pubmed ID
Authors

Moh Egy Rahman Firdaus, Apon Zaenal Mustopa, Nurlaili Ekawati, Sheila Chairunnisa, Rosyida Khusniatul Arifah, Ai Hertati, Shasmita Irawan, Anika Prastyowati, Arizah Kusumawati, Maritsa Nurfatwa

Abstract

Vaccination is the one of the agendas of many countries to reduce cervical cancer caused by the Human papillomavirus. Currently, VLP-based vaccine is the most potent vaccine against HPV, which could be produced by a variety of expression systems. Our study focuses on a comparison of recombinant protein expression L1 HPV52 using two common yeasts, Pichia pastoris and Hansenula polymorpha that have been used for vaccine production on an industrial scale. We also applied bioinformatics approach using reverse vaccinology to design alternative multi-epitope vaccines in recombinant protein and mRNA types. Our study found that P. pastoris relatively provided higher level of L1 protein expression and production efficiency compared to H. polymorpha in a batch system. However, both hosts showed self-assembly VLP formation and stable integration during protein induction. The vaccine we have designed exhibited high immune activation and safe in computational prediction. It is also potentially suitable for production in a variety of expression systems. By monitoring the overall optimization parameter assessment, this study can be used as the basis reference for large-scale production of the HPV52 vaccine.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 11%
Student > Master 2 11%
Lecturer 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Other 1 6%
Unknown 10 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Chemical Engineering 2 11%
Nursing and Health Professions 1 6%
Immunology and Microbiology 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 10 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2023.
All research outputs
#16,460,888
of 25,985,060 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#100
of 353 outputs
Outputs of similar age
#199,553
of 395,770 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#6
of 20 outputs
Altmetric has tracked 25,985,060 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 353 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.