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Nature
Article . 1967 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature
Article . 1967
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Haemagglutinin of Rubella Virus

Authors: T, Furukawa; S, Plotkin; D, Sedwick; M, Profeta;

Haemagglutinin of Rubella Virus

Abstract

STEWART and his associates have developed a method for detecting a haemagglutinating antigen for rubella virus1 which depends on two discoveries: first, that the calf sera ordinarily incorporated into media for the maintenance of cells infected with rubella virus contain an inhibitor for haemagglutination and, second, that the best agglutination was seen with blood cells from newly hatched chicks. In their original method BHK21 cells, which have been shown to produce the virus in high titre2, were infected with rubella virus and maintained in 2 per cent kaolin-treated foetal calf serum. Although this method provided a signal advance in the serology of rubella, in our laboratory production of haemagglutinin has been variable and, when found, the peak titres observed were only 1/32 per ml.

Related Organizations
Keywords

Culture Techniques, Centrifugation, Density Gradient, Rubella virus, Antibodies, Edetic Acid

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selected citations
These citations are derived from selected sources.
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!
23
Average
Top 10%
Top 10%
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