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A Gateway MultiSite Recombination Cloning Toolkit

Overview of attention for article published in PLOS ONE, September 2011
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Title
A Gateway MultiSite Recombination Cloning Toolkit
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024531
Pubmed ID
Authors

Lena K. Petersen, R. Steven Stowers

Abstract

The generation of DNA constructs is often a rate-limiting step in conducting biological experiments. Recombination cloning of single DNA fragments using the Gateway system provided an advance over traditional restriction enzyme cloning due to increases in efficiency and reliability. Here we introduce a series of entry clones and a destination vector for use in two, three, and four fragment Gateway MultiSite recombination cloning whose advantages include increased flexibility and versatility. In contrast to Gateway single-fragment cloning approaches where variations are typically incorporated into model system-specific destination vectors, our Gateway MultiSite cloning strategy incorporates variations in easily generated entry clones that are model system-independent. In particular, we present entry clones containing insertions of GAL4, QF, UAS, QUAS, eGFP, and mCherry, among others, and demonstrate their in vivo functionality in Drosophila by using them to generate expression clones including GAL4 and QF drivers for various trp ion channel family members, UAS and QUAS excitatory and inhibitory light-gated ion channels, and QUAS red and green fluorescent synaptic vesicle markers. We thus establish a starter toolkit of modular Gateway MultiSite entry clones potentially adaptable to any model system. An inventory of entry clones and destination vectors for Gateway MultiSite cloning has also been established (www.gatewaymultisite.org).

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Geographical breakdown

Country Count As %
United States 5 2%
Germany 3 1%
United Kingdom 3 1%
India 2 <1%
Portugal 1 <1%
France 1 <1%
Japan 1 <1%
Korea, Republic of 1 <1%
Unknown 253 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 25%
Researcher 55 20%
Student > Master 36 13%
Student > Bachelor 34 13%
Student > Doctoral Student 11 4%
Other 37 14%
Unknown 30 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 152 56%
Biochemistry, Genetics and Molecular Biology 41 15%
Neuroscience 22 8%
Medicine and Dentistry 10 4%
Immunology and Microbiology 3 1%
Other 6 2%
Unknown 36 13%