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Retroviral Gene Expression

Authors: W S, Hayward; B G, Neel;

Retroviral Gene Expression

Abstract

Retroviruses1 have been extensively studied during the past 10–20 years. These viruses are of particular interest to molecular biologists for a variety of reasons. Their unique mode of replication (RNA → DNA → RNA) provided the first exception to the central dogma that transfer of genetic information is unidirectional, from DNA to RNA. Retroviruses provide interesting model systems for studying virus-host interactions. They generally do not kill the host cell, and are maintained essentially as cellular genetic elements, integrated in the host chromosome. They contain a small number of genes that are expressed using mainly cellular synthetic mechanisms. Since these genes are expressed at high levels in infected cells, their products can be conveniently assayed and synthetic and processing pathways monitored. Perhaps most intriguing is the ability of many of the retroviruses to transform cells in tissue culture and cause neoplastic disease in animals. Studies of these viruses have led to the identification of more than ten distinct transforming genes and proteins, and have provided important insights into possible mechanisms of oncogenesis.

Related Organizations
Keywords

Genes, Viral, Transcription, Genetic, RNA Splicing, Defective Viruses, Nucleic Acid Precursors, Cell Transformation, Viral, Virus Replication, Viral Proteins, Retroviridae, Gene Expression Regulation, Protein Biosynthesis, RNA, Viral, RNA, Messenger

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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
17
Average
Top 10%
Top 10%
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