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PubMed Central
Other literature type . 2007
Data sources: PubMed Central
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Journal of Virological Methods
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Journal of Virological Methods
Article . 2007 . Peer-reviewed
Data sources: Crossref
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Viral RNA extraction for in-the-field analysis

Authors: Jiang F. Zhong; Clive R. Taylor; Leslie P. Weiner; Kathy Burke;

Viral RNA extraction for in-the-field analysis

Abstract

Retroviruses encode their genetic information with RNA molecules, and have a high genomic recombination rate which allows them to mutate more rapidly, thereby posting a higher risk to humans. One important way to help combat a pandemic of viral infectious diseases is early detection before large-scale outbreaks occur. The polymerase chain reaction (PCR) and reverse transcription-PCR (RT-PCR) have been used to identify precisely different strains of some very closely related pathogens. However, isolation and detection of viral RNA in the field are difficult due to the unstable nature of viral RNA molecules. Consequently, performing in-the-field nucleic acid analysis to monitor the spread of viruses is financially and technologically challenging in remote and underdeveloped regions that are high-risk areas for outbreaks. A simplified rapid viral RNA extraction method is reported to meet the requirements for in-the-field viral RNA extraction and detection. The ability of this device to perform viral RNA extraction with subsequent RT-PCR detection of retrovirus is demonstrated. This inexpensive device has the potential to be distributed on a large scale to underdeveloped regions for early detection of retrovirus, with the possibility of reducing viral pandemic events.

Related Organizations
Keywords

Reverse Transcriptase Polymerase Chain Reaction, Virology, Genetic Vectors, HIV, Humans, RNA, Viral, Article, Cell Line

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Average
Green
bronze