Evidence map›Paper›PMID 15474033›Full record

ArticleFEBS letters2004

Efficient assembly and release of SARS coronavirus-like particles by a heterologous expression system.

Eduardo Mortola, Polly Roy

Open access · bronzeAbstract read
In one paragraph

Article in FEBS letters, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

145 citing papers in PubMed, 1 synthesis or guideline pooled it, 255 citations in OpenAlex.

  1. Efficacy and safety of COVID-19 vaccines.The Cochrane database of systematic reviews · 2022
    Pooled it
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  16. Perturbation of the host cell CaCell death & disease · 2023
    Article
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  18. Article
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  20. Review

85 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 2 countries.

Eduardo MortolaDepartment of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Polly Roy
University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virus-like particles (VLPs) produced by recombinant expression of the major viral structural proteins could be an attractive method for severe acute respiratory syndrome (SARS) control. In this study, using the baculovirus system, we generated recombinant viruses that expressed S, E, M and N structural proteins of SARS-CoV either individually or simultaneously. The expression level, size and authenticity of each recombinant SARS-CoV protein were determined. In addition, immunofluorescence and FACS analysis confirmed the cell surface expression of the S protein. Co-infections of insect cells with two recombinant viruses demonstrated that M and E could assemble readily to form smooth surfaced VLPs. On the other hand, simultaneous high level expression of S, E and M by a single recombinant virus allowed the very efficient assembly and release of VLPs. These data demonstrate that the VLPs are morphological mimics of virion particles. The high level expression of VLPs with correct S protein conformation by a single recombinant baculovirus offers a potential candidate vaccine for SARS.

Indexed as

Virus AssemblyAnimalsBaculoviridaeBlotting, WesternCells, CulturedElectrophoresis, Polyacrylamide GelFlow CytometryFluorescent Antibody Technique, IndirectRecombinant ProteinsSevere acute respiratory syndrome-related coronavirusSpodopteraVirionRecombinant Proteins

Identifiers

PMID15474033
PMCPMC7126153
OpenAlexW2027026517

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.