ArticleThe open virology journal2011
Detection and identification of common food-borne viruses with a tiling microarray.
Article in The open virology journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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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.
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Who cites it
6 citing papers in PubMed, 20 citations in OpenAlex.
- Whole-Genome Sequences of Two Human Norovirus GII.4 Variants Isolated in the United States.Microbiology resource announcements · 2018Article
- Complete Genome Sequence of a Human Norovirus Strain from the United States Classified as Genotype GII.P6_GII.6.Genome announcements · 2018Article
- Sensitive Genotyping of Foodborne-Associated Human Noroviruses and Hepatitis A Virus Using an Array-Based Platform.Sensors (Basel, Switzerland) · 2017Article
- Molecular Diagnostic Methods for Detection and Characterization of Human Noroviruses.The open microbiology journal · 2016Article
- Sequence-independent amplification coupled with DNA microarray analysis for detection and genotyping of noroviruses.AMB Express · 2015Article
- DNA microarray for detection of gastrointestinal viruses.Journal of clinical microbiology · 2015Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarray hybridization based identification of viral genotypes is increasingly assuming importance due to outbreaks of multiple pathogenic viruses affecting humans causing wide-spread morbidity and mortality. Surprisingly, microarray based identification of food-borne viruses, one of the largest groups of pathogenic viruses, causing more than 1.5 billion infections world-wide every year, has lagged behind. Cell-culture techniques are either unavailable or time consuming for routine application. Consequently, current detection methods for these pathogens largely depend on polymerase chain reaction (PCR) based techniques, generally requiring an investigator to preselect the target virus of interest. Here we describe the first attempt to use the microarray as an identification tool for these viruses. We have developed methodology to synthesize targets for virus identification without using PCR, making the process genuinely sequence independent. We show here that a tiling microarray can simultaneously detect and identify the genotype and strain of common food-borne viruses in a single experiment.
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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.