Improved single-chain transactivators of the Tet-On gene expression system View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-12

AUTHORS

Xue Zhou, Jori Symons, Rieuwert Hoppes, Christel Krueger, Christian Berens, Wolfgang Hillen, Ben Berkhout, Atze T Das

ABSTRACT

BACKGROUND: The Tet-Off (tTA) and Tet-On (rtTA) regulatory systems are widely applied to control gene expression in eukaryotes. Both systems are based on the Tet repressor (TetR) from transposon Tn10, a dimeric DNA-binding protein that binds to specific operator sequences (tetO). To allow the independent regulation of multiple genes, novel Tet systems are being developed that respond to different effectors and bind to different tetO sites. To prevent heterodimerization when multiple Tet systems are expressed in the same cell, single-chain variants of the transactivators have been constructed. Unfortunately, the activity of the single-chain rtTA (sc-rtTA) is reduced when compared with the regular rtTA, which might limit its application. RESULTS: We recently identified amino acid substitutions in rtTA that greatly improved the transcriptional activity and doxycycline-sensitivity of the protein. To test whether we can similarly improve other TetR-based gene regulation systems, we introduced these mutations into tTA and sc-rtTA. Whereas none of the tested mutations improved tTA activity, they did significantly enhance sc-rtTA activity. We thus generated a novel sc-rtTA variant that is almost as active and dox-sensitive as the regular dimeric rtTA. This variant was also less sensitive to interference by co-expressed TetR-based tTS repressor protein and may therefore be more suitable for applications where multiple TetR-based regulatory systems are used. CONCLUSION: We developed an improved sc-rtTA variant that may replace regular rtTA in applications where multiple TetR-based regulatory systems are used. More... »

PAGES

6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1472-6750-7-6

DOI

http://dx.doi.org/10.1186/1472-6750-7-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024910400

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17239234


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