ReviewJournal of neurovirology2005
The application of reverse genetics technology in the study of rabies virus (RV) pathogenesis and for the development of novel RV vaccines.
Review in Journal of neurovirology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 49 citations in OpenAlex.
- Inactivated rabies virus vectored SARS-CoV-2 vaccine prevents disease in a Syrian hamster model.PLoS pathogens · 2021Article
- Genetic and Phenotypic Characterization of a Rabies Virus Strain Isolated from a Dog in Tokyo, Japan in the 1940s.Viruses · 2020Article
- Everything You Always Wanted to Know About Rabies Virus (But Were Afraid to Ask).Annual review of virology · 2015Review
- Novel Approaches to the Prevention and Treatment of Rabies.International journal of virology studies & research · 2015Article
- Construction of a Sonchus Yellow Net Virus minireplicon: a step toward reverse genetic analysis of plant negative-strand RNA viruses.Journal of virology · 2013Article
- Rabies virus (RV) glycoprotein expression levels are not critical for pathogenicity of RV.Journal of virology · 2011Article
- Attenuation of rabies virus replication and virulence by picornavirus internal ribosome entry site elements.Journal of virology · 2009Article
- The glycoprotein and the matrix protein of rabies virus affect pathogenicity by regulating viral replication and facilitating cell-to-cell spread.Journal of virology · 2008Article
- Lyssaviruses: current trends.Advances in virus research · 2008Review
- Rabies.Current neurology and neuroscience reports · 2006Review
- A single amino acid change in rabies virus glycoprotein increases virus spread and enhances virus pathogenicity.Journal of virology · 2005Article
- Recombinant rabies virus vaccine strain SAD-l16 inoculated intracerebrally in young mice produces a severe encephalitis with extensive neuronal apoptosis.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2005Article
- Identification of viral genomic elements responsible for rabies virus neuroinvasiveness.Proceedings of the National Academy of Sciences of the United States of America · 2004Article
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 2 institutions in 1 country.
Funding
Abstract
Rabies is a central nervous system (CNS) disease that is almost invariably fatal. Neurotropism, neuroinvasiveness, and transsynaptic spread are the main features that determine the pathogenesis of rabies. Recent advances in rabies virus (RV) research, which made direct genetic manipulations of the RV genome possible, greatly improved the understanding of the role of different viral and host cell factors in the pathogenesis of rabies. Here the authors discuss molecular mechanisms associated with rabies RV infection and its spread to the CNS.
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.