Evidence map›Paper›PMID 36914098›Full record

ArticleJournal of virological methods2023

Practical use of tobravirus-based vector to produce SARS-CoV-2 antigens in plants.

Ikaro Alves de Andrade, Luísa Valério Franca, Caterynne Melo Kauffmann, Matheus Hideki Kihara Maeda, Lucas Hideo Hataka Koyama, Pedro Ricardo Vieira Hamann, Leonardo Lopes-Luz, Matheus Bernardes Torres Fogaça, Brenda Rabello de Camargo, Bergmann Morais Ribeiro and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of virological methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Ikaro Alves de AndradeDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil; Pós-graduação em Biologia Microbiana, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Luísa Valério FrancaDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Caterynne Melo KauffmannDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil; Pós-graduação em Fitopatologia, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Matheus Hideki Kihara MaedaDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Lucas Hideo Hataka KoyamaDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Pedro Ricardo Vieira HamannDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Leonardo Lopes-LuzLaboratório de Desenvolvimento e Produção de Testes Rápidos, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74690-900, Brazil.
Matheus Bernardes Torres FogaçaLaboratório de Desenvolvimento e Produção de Testes Rápidos, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74690-900, Brazil.
Brenda Rabello de CamargoDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Bergmann Morais RibeiroDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
Samira Bührer-SékulaLaboratório de Desenvolvimento e Produção de Testes Rápidos, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74690-900, Brazil.
Tatsuya NagataDepartamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, DF, 70910-900, Brazil; Pós-graduação em Biologia Microbiana, Universidade de Brasília, Brasília, DF, 70910-900, Brazil; Pós-graduação em Fitopatologia, Universidade de Brasília, Brasília, DF, 70910-900, Brazil. Electronic address: tatsuya@unb.br.
Universidade de Brasília · BRUniversidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A plant-based heterologous expression system is an attractive option for recombinant protein production because it is based on a eukaryotic system of high feasibility, and low biological risks. Frequently, binary vector systems are used for transient gene-expression in plants. However, plant virus vector-based systems offer advantages for higher protein yields due to their self-replicating machinery. In the present study, we show an efficient protocol using a plant virus vector based on a tobravirus, pepper ringspot virus, that was employed for transient expression of severe acute respiratory syndrome coronavirus 2 partial gene fragments of the spike (named S1-N) and the nucleocapsid (named N) proteins in Nicotiana benthamiana plants. Purified proteins yield of 40-60 µg/g of fresh leaves were obtained. Both proteins, S1-N and N, showed high and specific reactivities against convalescent patients' sera by the enzyme-linked immunosorbent assay format. The advantages and critical points in using this plant virus vector are discussed.

Indexed as

COVID-19RNA VirusesEnzyme-Linked Immunosorbent AssayHumansRecombinant ProteinsSARS-CoV-2Spike Glycoprotein, CoronavirusRecombinant ProteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19Molecular farmingN. benthamianaPlant virus vector

Identifiers

PMID36914098
PMCPMC10008036
OpenAlexW4323922726

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.