Searching across hundreds of databases
This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.
Despite intense efforts to develop novel and better tools to identify known viruses and to discover new viruses, establishing etiological roles for viruses in human disease is challenging. In large part, this may be attributed to the high variability of viral species and the difficulties in developing broad-spectrum, yet specific, diagnostic assays. To overcome this problem, a novel method for the detection of viruses is described in the current manuscript. The technique relies on the addition of synthetic oligonucleotides to both termini of RNA fragments in a sequence-dependent manner during first- and second-strand DNA synthesis; these oligonucleotides are used subsequently for amplification of the viral nucleic acids of interest. The recognition of the target sequence by the oligonucleotides is mediated by short (6-8 nt) conserved regions, which facilitates development of broad-spectrum assays. The method has been tested for coronaviruses, although it may be also adopted for other RNA viruses.
Human coronavirus NL63 was identified in 2004 in the Netherlands. Due to the high prevalence and world-wide distribution of this pathogen, it is essential to develop a sensitive and specific detection assay suitable for use in a routine diagnostic laboratory. Techniques based on PCR or real-time PCR are laborious and expensive. Detailed analysis of the HCoV-NL63 genome permitted the identification of a conserved nucleic acid sequential motif, which was sufficient for the design of a loop-mediated isothermal amplification (LAMP) assay. Evaluation of the method showed that the test is specific to HCoV-NL63 and that it does not cross-react with other respiratory viruses. The detection limit was found to be 1 copy of RNA template per reaction in cell culture supernatants and clinical specimens.
Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter your papers by.
From here we'll present any options for the literature, such as exporting your current results.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Year:
Count:
The SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
scicrunch.org
