Evidence map›Paper›PMID 39203957›Full record

ArticleVaccines2024

Green Routes: Exploring Protein-Based Virus-like Nanoparticle Transport and Immune Activation in

Romano Josi, Alessandro Pardini, Alexander Haindrich, Sanjana V Marar, Anne-Cathrine S Vogt, Arthur Gessler, Doris Rentsch, Paolo Cherubini, Martin F Bachmann, Mona O Mohsen

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Romano JosiDepartment for BioMedical Research, University of Bern, 3008 Bern, Switzerland.
Alessandro PardiniDepartment for BioMedical Research, University of Bern, 3008 Bern, Switzerland.ORCID 0009-0008-5493-8893
Alexander HaindrichInstitute of Plant Sciences, University of Bern, 3013 Bern, Switzerland.
Sanjana V MararDepartment for BioMedical Research, University of Bern, 3008 Bern, Switzerland.
Anne-Cathrine S VogtDepartment for BioMedical Research, University of Bern, 3008 Bern, Switzerland.
Arthur GesslerWSL, Swiss Federal Institute for Forest Snow and Landscape Research, 8903 Birmensdorf, Switzerland.ORCID 0000-0002-1910-9589
Doris RentschInstitute of Plant Sciences, University of Bern, 3013 Bern, Switzerland.ORCID 0000-0003-4313-7683
Paolo CherubiniWSL, Swiss Federal Institute for Forest Snow and Landscape Research, 8903 Birmensdorf, Switzerland.
Martin F BachmannDepartment for BioMedical Research, University of Bern, 3008 Bern, Switzerland.ORCID 0000-0003-4370-2099
Mona O MohsenDepartment for BioMedical Research, University of Bern, 3008 Bern, Switzerland.

Funding

Swiss Federal Institute for Forest, Snow, and Landscape Research 5233.00408.001.01
6 · The paper itself

Abstract

Viral, bacterial, fungal, and nematode infections cause significant agricultural losses, with limited treatment options, necessitating novel approaches to enhance plant defense systems and protection against pathogens. Virus-like nanoparticles (VLPs), extensively used in animal and human therapies (e.g., vaccines and immune enhancers), hold potential for novel agricultural solutions and advancing plant nanotechnology. This study employed various methodologies, including VLP production, confocal microscopy, and real-time qPCR. Our findings demonstrated the presence of 30 nm Qβ-VLPs, fluorescently labeled, within the intercellular space of

Indexed as

nanoparticlesNicotiana benthamianaplant defensetobacco plantvirus-like particle

Identifiers

PMID39203957
PMCPMC11358932

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.