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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-35746

Yagi, R; Mayer, F; Basler, K (2010). Refined LexA transactivators and their use in combination with the Drosophila Gal4 system. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 107(37):16166-16171.

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Abstract

The use of binary transcriptional systems offers many advantages for experimentally manipulating gene activity, as exemplified by the success of the Gal4/UAS system in Drosophila. To expand the number of applications, a second independent transactivator (TA) is desirable. Here, we present the optimization of an additional system based on LexA and show how it can be applied. We developed a series of LexA TAs, selectively suppressible via Gal80, that exhibit high transcriptional activity and low detrimental effects when expressed in vivo. In combination with Gal4, an appropriately selected LexA TA permits to program cells with a distinct balance and independent outputs of the two TAs. We demonstrate how the two systems can be combined for manipulating communicating cell populations, converting transient tissue-specific expression patterns into heritable, constitutive activities, and defining cell territories by intersecting TA expression domains. Finally, we describe a versatile enhancer trap system that allows swapping TA and generating mosaics composed of Gal4 and LexA TA-expressing cells. The optimized LexA system facilitates precise analyses of complex biological phenomena and signaling pathways in Drosophila.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Research, Technology and Development Projects > WingX
DDC:570 Life sciences; biology
Language:English
Date:30 August 2010
Deposited On:03 Nov 2010 08:33
Last Modified:27 Nov 2013 16:47
Publisher:National Academy of Sciences
ISSN:0027-8424
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:10.1073/pnas.1005957107
PubMed ID:20805468
Citations:Web of Science®. Times Cited: 21
Google Scholar™
Scopus®. Citation Count: 21

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