ArticleBiophysical journal2016
Identification of HIV-1-Based Virus-like Particles by Multifrequency Atomic Force Microscopy.
Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- Analyzing atomic force microscopy images of virus-like particles by expectation-maximization.NPJ vaccines · 2024Article
- Enhancing higher-order modal response in multifrequency atomic force microscopy with a coupled cantilever system.Beilstein journal of nanotechnology · 2024Article
- Light-induced modulation of viscoelastic properties in azobenzene polymers.Nanophotonics (Berlin, Germany) · 2024Article
- Viro-fluidics: Real-time analysis of virus production kinetics at the single-cell level.Biophysical reports · 2022Article
- How promising are HIV-1-based virus-like particles for medical applications.Frontiers in cellular and infection microbiology · 2022Review
- Article
- Quality Assessment of Virus-Like Particles at Single Particle Level: A Comparative Study.Viruses · 2020Article
- At-line multi-angle light scattering detector for faster process development in enveloped virus-like particle purification.Journal of separation science · 2019Article
- Review
- Fast and high-resolution mapping of elastic properties of biomolecules and polymers with bimodal AFM.Nature protocols · 2018Article
- Algal Viruses: The (Atomic) Shape of Things to Come.Viruses · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virus-like particles (VLPs) have become a promising platform for vaccine production. VLPs are formed by structural viral proteins that inherently self-assemble when expressed in a host cell. They represent a highly immunogenic and safe vaccine platform, due to the absence of the viral genome and its high protein density. One of the most important parameters in vaccine production is the quality of the product. A related bottleneck in VLP-based products is the presence of cellular vesicles as a major contaminant in the preparations, which will require the set up of techniques allowing for specific discrimination of VLPs from host vesicular bodies. In this work novel, to our knowledge, multifrequency (MF) atomic force microscopy (AFM) has permitted full structural nanophysical characterization by its access to the virus capsid of the HIV-based VLPs. The assessment of these particles by advanced amplitude modulation-frequency modulation (AM-FM) viscoelastic mapping mode has enhanced the imaging resolution of their nanomechanical properties, opening a new window for the study of the biophysical attributes of VLPs. Finally, the identification and differentiation of HIV-based VLPs from cellular vesicles has been performed under ambient conditions, providing, to our knowledge, novel methodology for the monitoring and quality control of VLPs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.