ArticleSmall (Weinheim an der Bergstrasse, Germany)2020
Virus Assembly Pathways: Straying Away but Not Too Far.
Article in Small (Weinheim an der Bergstrasse, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 30 citations in OpenAlex.
- Pleomorphism in Wild-Type and Engineered PP7 Virus-Like Particles.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- From disorder to icosahedral symmetry: How conformation-switching subunits enable RNA virus assembly.Science advances · 2025Article
- High-Fidelity In Vitro Packaging of Diverse Synthetic Cargo into Encapsulin Protein Cages.Angewandte Chemie (International ed. in English) · 2025Article
- Genetically Engineered, Multichromophore Virus-Like Nanoparticles with Ultranarrow Distribution of Emission Intensity.ACS nano · 2025Article
- An interaction network approach predicts protein cage architectures in bionanotechnology.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Charge detection mass spectrometry for the analysis of viruses and virus-like particles.Essays in biochemistry · 2023Article
- Single-particle studies of the effects of RNA-protein interactions on the self-assembly of RNA virus particles.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- High-Resolution Native Mass Spectrometry.Chemical reviews · 2022Review
- Applications of Charge Detection Mass Spectrometry in Molecular Biology and Biotechnology.Chemical reviews · 2022Review
- Packaging contests between viral RNA molecules and kinetic selectivity.PLoS computational biology · 2022Article
- Programmable polymorphism of a virus-like particle.Communications materials · 2022Article
- Review
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 1 institution in 1 country.
Funding
Abstract
Non-enveloped RNA viruses pervade all domains of life. In a cell, they co-assemble from viral RNA and capsid proteins. Virus-like particles can form in vitro where virtually any non-cognate polyanionic cargo can be packaged. How only viral RNA gets selected for packaging in vivo, in presence of myriad other polyanionic species, has been a puzzle. Through a combination of charge detection mass spectrometry and cryo-electron microscopy, it is determined that co-assembling brome mosaic virus (BMV) coat proteins and nucleic acid oligomers results in capsid structures and stoichiometries that differ from the icosahedral virion. These previously unknown shell structures are strained and less stable than the native one. However, they contain large native structure fragments that can be recycled to form BMV virions, should a viral genome become available. The existence of such structures suggest the possibility of a previously unknown regulatory pathway for the packaging process inside cells.
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.