Evidence map›Paper›PMID 40483334›Full record

ArticleArchives of virology2025

Single-particle quantification of SARS-CoV-2 virus-like particles using flow virometry.

Hyeop Jin, Ye Rae Cho, Yong Tae Jung

Abstract read
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Article in Archives of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hyeop JinDepartment of Microbiology, College of Bio-Convergence, Dankook University, Cheonan, 330-714, Korea.
Ye Rae ChoDepartment of Microbiology, College of Bio-Convergence, Dankook University, Cheonan, 330-714, Korea.
Yong Tae JungDepartment of Microbiology, College of Bio-Convergence, Dankook University, Cheonan, 330-714, Korea. yjung@dankook.ac.kr.ORCID http://orcid.org/0000-0002-9014-9145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 virus-like particles (VLPs) were generated by co-transfecting HEK 293T cells with four plasmids, two for expression of the spike (S) or nucleocapsid (N) protein with a 3xHA tag at the C-terminus, one for expression of the membrane (M) protein, and one for expression of the envelope (E) protein. Co-localization of the S and N proteins within the VLPs was confirmed by Western blot analysis using anti-HA antibodies. To enable fluorescent quantification of VLPs, the C-terminus of the S protein was fused to enhanced green fluorescent protein (EGFP), and the N protein was tagged with EGFP at either the N- or C-terminus. Transient transfection of 293T cells with (S-GFP)NME, S(N-GFP)ME, or S(GFP-N)ME plasmids efficiently produced fluorescent VLPs, each demonstrating the ability to enter A549-hACE2 cells. In addition, a two-plasmid system was developed to simplify fluorescent VLP production by incorporating internal ribosomal entry site elements between N3xHA and S-GFP and between the M and E genes. Transfection of 293T cells with these plasmids produced VLPs with a fourfold higher N protein concentration (800 ng/mL) compared to the four-plasmid system (200 ng/mL), as measured by ELISA. Flow virometry analysis confirmed production of VLPs with an average diameter of 80 nm and a concentration of 1.68 × 10

Indexed as

SARS-CoV-2VirionCoronavirus Nucleocapsid ProteinsCOVID-19Green Fluorescent ProteinsHEK293 CellsHumansPhosphoproteinsPlasmidsSpike Glycoprotein, CoronavirusTransfectionCoronavirus Nucleocapsid Proteinsenhanced green fluorescent proteinGreen Fluorescent Proteinsnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

What OpenQuestion holds

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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.