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zTrap: zebrafish gene trap and enhancer trap database

Overview of attention for article published in BMC Developmental Biology, October 2010
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Title
zTrap: zebrafish gene trap and enhancer trap database
Published in
BMC Developmental Biology, October 2010
DOI 10.1186/1471-213x-10-105
Pubmed ID
Authors

Koichi Kawakami, Gembu Abe, Tokuko Asada, Kazuhide Asakawa, Ryuichi Fukuda, Aki Ito, Pradeep Lal, Naoko Mouri, Akira Muto, Maximilliano L Suster, Hitomi Takakubo, Akihiro Urasaki, Hironori Wada, Mikio Yoshida

Abstract

We have developed genetic methods in zebrafish by using the Tol2 transposable element; namely, transgenesis, gene trapping, enhancer trapping and the Gal4FF-UAS system. Gene trap constructs contain a splice acceptor and the GFP or Gal4FF (a modified version of the yeast Gal4 transcription activator) gene, and enhancer trap constructs contain the zebrafish hsp70l promoter and the GFP or Gal4FF gene. By performing genetic screens using these constructs, we have generated transgenic zebrafish that express GFP and Gal4FF in specific cells, tissues and organs. Gal4FF expression is visualized by creating double transgenic fish carrying a Gal4FF transgene and the GFP reporter gene placed downstream of the Gal4-recognition sequence (UAS). Further, the Gal4FF-expressing cells can be manipulated by mating with UAS effector fish. For instance, when fish expressing Gal4FF in specific neurons are crossed with the UAS:TeTxLC fish carrying the tetanus neurotoxin gene downstream of UAS, the neuronal activities are inhibited in the double transgenic fish. Thus, these transgenic fish are useful to study developmental biology and neurobiology.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Portugal 3 2%
Germany 1 <1%
Netherlands 1 <1%
Singapore 1 <1%
India 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 178 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 21%
Researcher 40 21%
Student > Master 21 11%
Professor > Associate Professor 16 8%
Student > Bachelor 10 5%
Other 37 19%
Unknown 26 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 46%
Biochemistry, Genetics and Molecular Biology 43 23%
Neuroscience 19 10%
Medicine and Dentistry 9 5%
Engineering 2 1%
Other 5 3%
Unknown 26 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2014.
All research outputs
#18,966,935
of 23,508,125 outputs
Outputs from BMC Developmental Biology
#307
of 371 outputs
Outputs of similar age
#89,853
of 100,562 outputs
Outputs of similar age from BMC Developmental Biology
#4
of 4 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 371 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.