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Journal of Biological Chemistry
Article . 2004 . Peer-reviewed
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Journal of Biological Chemistry
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Viral Evolution as a Tool to Improve the Tetracycline-regulated Gene Expression System

Authors: Das, Atze T.; Zhou, Xue; Vink, Monique; Klaver, Bep; Verhoef, Koen; Marzio, Giuseppe; Berkhout, Ben;

Viral Evolution as a Tool to Improve the Tetracycline-regulated Gene Expression System

Abstract

We present viral evolution as a novel and powerful method to optimize non-viral proteins. We used this approach to optimize the tetracycline (Tc)-regulated gene expression system (Tet system) for its function in mammalian cells. The components of the Tet system were incorporated in the human immunodeficiency virus (HIV)-1 virus such that viral replication is controlled by this regulatory system. Upon long term replication of this HIV-rtTA virus in human T cells, we obtained a virus variant with an enhanced replication potential resulting from an improved rtTA component of the introduced Tet system. We identified a single amino acid exchange, F86Y, which enhances the transcriptional activity and doxycycline (dox) sensitivity of rtTA. We generated a new rtTA variant that is 5-fold more active at high dox levels than the initial rtTA, and 25-fold more sensitive to dox, whereas the background activity in the absence of dox is not increased. This new rtTA variant will be very useful in biological applications that require a more sensitive or active Tet system. Our results demonstrate that the viral evolution strategy can be used to improve the activity of genes by making them an integral and essential part of the virus.

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Netherlands
Related Organizations
Keywords

Operator Regions, Genetic, Genetic Variation, Tetracycline, Transfection, Virus Replication, Recombinant Proteins, Repressor Proteins, Gene Expression Regulation, Mutation, Escherichia coli, HIV-1, Humans, Cloning, Molecular, Directed Molecular Evolution, Biotechnology, HeLa Cells

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    popularity
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
120
Top 10%
Top 10%
Top 10%
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