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Find video protocols related to scientific articles indexed in Pubmed.
Development of a Site-Directed Integration Plasmid for Heterologous Gene Expression in Mycoplasma gallisepticum.
PUBLISHED: 01-01-2013
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Deciphering the molecular basis of the interactions between the parasite Mycoplasma gallisepticum and its avian hosts suffers from the lack of genetic tools available for the pathogen. In the absence of well established methods for targeted disruption of relevant M. gallisepticum genes, we started to develop suicide vectors and equipped them with a short fragment of M. gallisepticum origin or replication (oriC MG). We failed to create a disruption vector, although by adding a further short fragment of the M. gallisepticum tufB upstream region we created a "Trojan horse" plasmid. This is fully integrated into the genomic DNA of M. gallisepticum, always at the same site, oriC MG, and is able to carry and express any gene of interest in the genetic background of M. gallisepticum. Successful expression of a heterologous gene was shown with the lacZ gene of E. coli. When used for gene complementation or expression of hybrid genes in M. gallisepticum, a site-specific combined integration/expression vector constitutes an improvement on randomly integrating transposons, which might have unexpected effects on the expression of chromosomal genes.
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What is Visualize?

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.