Recent outbreaks of avian influenza in different parts of the world have caused major economic losses for the poultry industry, affected wildlife seriously and present a significant threat even to human public health, due to the risk for zoonotic transmission. The ability to recognize avian influenza viruses (AIVs) early is of paramount importance to ensure that appropriate measures can be taken quickly to contain the outbreak. In this study, the performance of a proximity ligation assay (PLA) for the detection of AIV antigens in biological specimens was evaluated. It is shown that PLA: (i) as a novel principle of highly sensitive antigen detection is extending the arsenal of tools for the diagnosis of AIV; (ii) is very specific, nearly as sensitive as a commonly used reference real-time PCR assay, and four orders of magnitude more sensitive than a sandwich ELISA, utilizing the same antibody; (iii) avoids the necessity of nucleic acids extraction, which greatly facilitates high-throughput implementations; (iv) allows the use of inactivated samples, which safely can be transported from the field to diagnostic laboratories for further analysis. In summary, the results demonstrate that PLA is suited for rapid, accurate and early detection of AIV.
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Journal of Visualized Experiments
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JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.
How does it work?
We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.
Video X seems to be unrelated to Abstract Y...
In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.