ReviewViruses2012
Quantitative live-cell imaging of human immunodeficiency virus (HIV-1) assembly.
Review in Viruses, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 28 citations in OpenAlex.
- Computer Simulations Show That Liquid-Liquid Phase Separation Enhances Self-Assembly.ACS nano · 2025Article
- Article
- Review
- Single-Virus Tracking: From Imaging Methodologies to Virological Applications.Chemical reviews · 2020Review
- Eradication of Human Immunodeficiency Virus Type-1 (HIV-1)-Infected Cells.Pharmaceutics · 2019Review
- Monitoring HIV-1 Assembly in Living Cells: Insights from Dynamic and Single Molecule Microscopy.Viruses · 2019Review
- Review
- Review
- Immature HIV-1 lattice assembly dynamics are regulated by scaffolding from nucleic acid and the plasma membrane.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Review
- Allosteric Control of Icosahedral Capsid Assembly.The journal of physical chemistry. B · 2016Article
- MAS NMR of HIV-1 protein assemblies.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015Article
- Mechanisms of virus assembly.Annual review of physical chemistry · 2015Review
- How HIV-1 Gag assembles in cells: Putting together pieces of the puzzle.Virus research · 2014Review
- Super-resolution mbPAINT for optical localization of single-stranded DNA.ACS applied materials & interfaces · 2013Article
- Dynamics of self-assembly of model viral capsids in the presence of a fluctuating membrane.The journal of physical chemistry. B · 2013Article
- Modeling Viral Capsid Assembly.Advances in chemical physicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in fluorescence methodologies make it possible to investigate biological systems in unprecedented detail. Over the last few years, quantitative live-cell imaging has increasingly been used to study the dynamic interactions of viruses with cells and is expected to become even more indispensable in the future. Here, we describe different fluorescence labeling strategies that have been used to label HIV-1 for live cell imaging and the fluorescence based methods used to visualize individual aspects of virus-cell interactions. This review presents an overview of experimental methods and recent experiments that have employed quantitative microscopy in order to elucidate the dynamics of late stages in the HIV-1 replication cycle. This includes cytosolic interactions of the main structural protein, Gag, with itself and the viral RNA genome, the recruitment of Gag and RNA to the plasma membrane, virion assembly at the membrane and the recruitment of cellular proteins involved in HIV-1 release to the nascent budding site.
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.