Evidence map›Paper›PMID 16997013›Full record

ReviewAdvances in virus research2006

Vaccines for viral and parasitic diseases produced with baculovirus vectors.

Monique M van Oers

Abstract readReview
In one paragraph

Review in Advances in virus research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
18.4field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 113 citations in OpenAlex.

  1. Review
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  6. Effects of wasp (Cytotechnology · 2024
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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

1 author at 1 institution in 1 country.

Monique M van OersLaboratory of Virology, Wageningen University, Binnenhaven 11 6709 PD, Wageningen, The Netherlands.
Graduate School Experimental Plant Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The baculovirus-insect cell expression system is an approved system for the production of viral antigens with vaccine potential for humans and animals and has been used for production of subunit vaccines against parasitic diseases as well. Many candidate subunit vaccines have been expressed in this system and immunization commonly led to protective immunity against pathogen challenge. The first vaccines produced in insect cells for animal use are now on the market. This chapter deals with the tailoring of the baculovirus-insect cell expression system for vaccine production in terms of expression levels, integrity and immunogenicity of recombinant proteins, and baculovirus genome stability. Various expression strategies are discussed including chimeric, virus-like particles, baculovirus display of foreign antigens on budded virions or in occlusion bodies, and specialized baculovirus vectors with mammalian promoters that express the antigen in the immunized individual. A historical overview shows the wide variety of viral (glyco)proteins that have successfully been expressed in this system for vaccine purposes. The potential of this expression system for antiparasite vaccines is illustrated. The combination of subunit vaccines and marker tests, both based on antigens expressed in insect cells, provides a powerful tool to combat disease and to monitor infectious agents.

Indexed as

AnimalsBaculoviridaeGenetic VectorsGenome, ViralGenomic InstabilityHelminthiasisHumansInsectaPromoter Regions, GeneticProtozoan VaccinesVaccines, DNAVaccines, SubunitVaccines, SyntheticViral Envelope ProteinsViral VaccinesProtozoan VaccinesVaccines, DNAVaccines, SubunitVaccines, SyntheticViral Envelope ProteinsViral Vaccines

Identifiers

PMID16997013
PMCPMC7112334
OpenAlexW2098016806

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.