Evidence map›Paper›PMID 35337043›Full record

ArticleViruses2022

Transduction of HEK293 Cells with BacMam Baculovirus Is an Efficient System for the Production of HIV-1 Virus-like Particles.

Eduard Puente-Massaguer, Byron Cajamarca-Berrezueta, Aleix Volart, Irene González-Domínguez, Francesc Gòdia

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

5 authors.

Eduard Puente-MassaguerDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Barcelona, Spain.ORCID 0000-0002-2816-7051
Byron Cajamarca-BerrezuetaDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Barcelona, Spain.
Aleix VolartDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Barcelona, Spain.
Irene González-DomínguezDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Barcelona, Spain.ORCID 0000-0002-7920-5505
Francesc GòdiaDepartment of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gag virus-like particles (VLPs) are promising vaccine candidates against infectious diseases. VLPs are generally produced using the insect cell/baculovirus expression vector system (BEVS), or in mammalian cells by plasmid DNA transient gene expression (TGE). However, VLPs produced with the insect cell/BEVS are difficult to purify and might not display the appropriate post-translational modifications, whereas plasmid DNA TGE approaches are expensive and have a limited scale-up capability. In this study, the production of Gag VLPs with the BacMam expression system in a suspension culture of HEK293 cells is addressed. The optimal conditions of multiplicity of infection (MOI), viable cell density (VCD) at infection, and butyric acid (BA) concentration that maximize cell transduction and VLP production are determined. In these conditions, a maximum cell transduction efficiency of 91.5 ± 1.1%, and a VLP titer of 2.8 ± 0.1 × 10

Indexed as

HIV-1Viruses, UnclassifiedAnimalsBaculoviridaeDNAHEK293 CellsHumansMammalsVirionDNABacMam baculovirusendocytosisHEK293 cellsHIV-1super-resolution fluorescence microscopyvirus-like particle

Identifiers

PMID35337043
PMCPMC8954388

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Registered trials

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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.